Datasets:
deeplang-ai
/
StructBench

Dataset card Data Studio Files
xet
Community
1
instance_id
string
doc_type
string
source
string
url
string
edu_pred_input
string
ground_truth
string
8df22e6a-ec7c-45f5-adb4-8d0a17d45a1f
web
test/raw_web_htmls/8df22e6a-ec7c-45f5-adb4-8d0a17d45a1f.html
https://mp.weixin.qq.com/s?__biz=MzA5NTI1MDEyNA==&mid=2652721683&idx=1&sn=29da3a2de54cb42ccc298a0b3770ed07&scene=0
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37, "global_sentence_id": 3, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/30DN6T1vzJmW1w7A5I3dYhte.gif", "language": "chinese", "position": {"atoms": [{"position_id": 51, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/30DN6T1vzJmW1w7A5I3dYhte.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 39, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/GtlZo4yMmBB4yjMvT38zuFW.png", "language": "chinese", "position": {"atoms": [{"position_id": 53, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/GtlZo4yMmBB4yjMvT38zuFW.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 40, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "里", 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"tags": ["img"], "label": "figure", "web_segment_id": 43, "global_sentence_id": 8, "edu_l1_label": "EDU_O"}, {"txt": "一、2024年工作回顾", "language": "chinese", "position": {"atoms": [{"position_id": 255, "txt": "一、2024年工", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/span/strong[1]/span"}, {"position_id": 257, "txt": "作回顾", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/span/strong[2]/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 44, "global_sentence_id": 9, "edu_l1_label": "BOS"}, {"txt": "国内生产总值增长5%", "language": "chinese", "position": {"atoms": [{"position_id": 259, "txt": "国内生产总值增长5%", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "粮食产量首次跃上1.4万亿斤新台阶", "language": "chinese", "position": {"atoms": [{"position_id": 261, "txt": "粮食产量首次跃上1.4万亿斤新台阶", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "城镇新增就业1256万人", "language": "chinese", "position": {"atoms": [{"position_id": 263, "txt": "城镇新增就业1256万人", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "新能源汽车年产量突破1300万辆", "language": "chinese", "position": {"atoms": [{"position_id": 265, "txt": "新能源汽车年产量突破1300万辆", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ljZSh4i3633461HQQ2J6gam.png", "language": "chinese", "position": {"atoms": [{"position_id": 90, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ljZSh4i3633461HQQ2J6gam.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 49, "global_sentence_id": 14, "edu_l1_label": "EDU_O"}, {"txt": "二、今年主要预期目标", "language": "chinese", "position": {"atoms": [{"position_id": 267, "txt": "二、今年主要预期目标", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[10]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 50, "global_sentence_id": 15, "edu_l1_label": "BOS"}, {"txt": "国内生产总值增长5%左右", "language": "chinese", "position": {"atoms": [{"position_id": 269, "txt": "国内生产总值增长5%左右", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "城镇新增就业1200万人以上", "language": "chinese", "position": {"atoms": [{"position_id": 271, "txt": "城镇新增就业1200万人以上", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[12]/span"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "居民消费价格涨幅2%左右", "language": "chinese", "position": {"atoms": [{"position_id": 273, "txt": "居民消费价格涨幅2%左右", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "粮食产量1.4万亿斤左右", "language": "chinese", "position": {"atoms": [{"position_id": 275, "txt": "粮食产量1.4万亿斤左右", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "单位国内生产总值能耗降低3%左右", "language": "chinese", "position": {"atoms": [{"position_id": 277, "txt": "单位国内生产总值能耗降低3%左右", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ljZSh4i3633461HQQ2J6gam.png", "language": "chinese", "position": {"atoms": [{"position_id": 110, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ljZSh4i3633461HQQ2J6gam.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[17]/span/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 56, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "三、今年部分重点工作", "language": "chinese", "position": {"atoms": [{"position_id": 279, "txt": "三、今年部分重点工作", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[18]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 57, "global_sentence_id": 22, "edu_l1_label": "BOS"}, {"txt": "财政：", "language": "chinese", "position": {"atoms": [{"position_id": 281, "txt": "财政：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[19]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "赤字率拟按4%左右安排，赤字规模比上年增加1.6万亿元", "language": "chinese", "position": {"atoms": [{"position_id": 283, "txt": "赤字率拟按4%左右安排，赤字规模比上年增加1.6万亿元", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[19]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "政府投资：", "language": "chinese", "position": {"atoms": [{"position_id": 285, "txt": "政府投资：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[20]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "拟安排地方政府专项债券4.4万亿元、比上年增加5000亿元。", "language": "chinese", "position": {"atoms": [{"position_id": 287, "txt": "拟安排地方政府专项债券4.4万亿元、比上年增加5000亿元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[20]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "合计新增政府债务总规模11.86万亿元、比上年增加2.9万亿元", "language": "chinese", "position": {"atoms": [{"position_id": 288, "txt": "合计新增政府债务总规模11.86万亿元、比上年增加2.9万亿元", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[20]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "特别国债：", "language": "chinese", "position": {"atoms": [{"position_id": 290, "txt": "特别国债：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[21]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 60, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "拟发行超长期特别国债1.3万亿元、比上年增加3000亿元。", "language": "chinese", "position": {"atoms": [{"position_id": 292, "txt": "拟发行超长期特别国债1.3万亿元、比上年增加3000亿元。", "x": 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"content", "web_segment_id": 61, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "安排超长期特别国债3000亿元支持消费品以旧换新", "language": "chinese", "position": {"atoms": [{"position_id": 298, "txt": "安排超长期特别国债3000亿元支持消费品以旧换新", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[22]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "新质生产力：", "language": "chinese", "position": {"atoms": [{"position_id": 300, "txt": "新质生产力：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[23]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 62, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "推动商业航天、低空经济等新兴产业安全健康发展。", "language": "chinese", "position": {"atoms": [{"position_id": 302, "txt": "推动商业航天、低空经济等新兴产业安全健康发展。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[23]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 62, 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"web_segment_id": 67, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "深入实施种业振兴行动。", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "深入实施种业振兴行动。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[28]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "启动中央统筹下的粮食产销区省际横向利益补偿，加大对产粮大县支持。", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "启动中央统筹下的粮食产销区省际横向利益补偿，加大对产粮大县支持。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[28]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "拓宽农民增收渠道", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "拓宽农民增收渠道", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[28]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 54, "edu_l1_label": "IOS"}, 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[{"position_id": 338, "txt": "生态：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[30]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 69, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "健全绿色消费激励机制，推动形成绿色低碳的生产方式和生活方式", "language": "chinese", "position": {"atoms": [{"position_id": 340, "txt": "健全绿色消费激励机制，推动形成绿色低碳的生产方式和生活方式", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[30]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "就业：", "language": "chinese", "position": {"atoms": [{"position_id": 342, "txt": "就业：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[31]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 70, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "拓宽高校毕业生等青年就业创业渠道。", "language": "chinese", "position": {"atoms": [{"position_id": 344, "txt": "拓宽高校毕业生等青年就业创业渠道。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "加强灵活就业和新就业形态劳动者权益保障。", "language": "chinese", "position": {"atoms": [{"position_id": 345, "txt": "加强灵活就业和新就业形态劳动者权益保障。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "提高技能人才待遇水平", "language": "chinese", "position": {"atoms": [{"position_id": 346, "txt": "提高技能人才待遇水平", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "医疗卫生：", "language": "chinese", "position": {"atoms": [{"position_id": 348, "txt": "医疗卫生：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[32]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 71, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "优化药品集采政策，强化质量评估和监管。", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "优化药品集采政策，强化质量评估和监管。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[32]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "居民医保和基本公共卫生服务经费人均财政补助标准分别再提高30元和5元", "language": "chinese", "position": {"atoms": [{"position_id": 351, "txt": "居民医保和基本公共卫生服务经费人均财政补助标准分别再提高30元和5元", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[32]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "社会保障：", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "社会保障：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[33]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", 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"global_sentence_id": 70, "edu_l1_label": "EDU_O"}, {"txt": " 亿欧网 ", "language": "chinese", "position": {"atoms": [{"position_id": 360, "txt": "\n 亿欧网 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "author", "web_segment_id": 91, "global_sentence_id": 71, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 800字！政府工作报告极简版来了！ ## 一、2024年工作回顾 ## 二、今年主要预期目标 ## 三、今年部分重点工作
0fd82b04-4de7-4ea0-8ebb-d03e660056c2
web
test/raw_web_htmls/0fd82b04-4de7-4ea0-8ebb-d03e660056c2.html
https://mp.weixin.qq.com/s?__biz=MjM5Nzc1NTQ4MA==&mid=2653244210&idx=1&sn=7ea36d57a03c324ca8db0ac3d3871deb&scene=0
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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[3]/section/section/section/section/section[2]/section[1]/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 79, "global_sentence_id": 79, "edu_l1_label": "EDU_O"}, {"txt": " (*╯3╰)", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": " (*╯3╰)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[3]/section/section/section/section/section[2]/section[1]/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 79, "global_sentence_id": 80, "edu_l1_label": "EDU_O"}, {"txt": " 国际金融报 ", "language": "chinese", "position": {"atoms": [{"position_id": 357, "txt": "\n 国际金融报 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 97, "global_sentence_id": 81, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 欧洲股市十年最佳开局领跑全球，“欧洲奇迹”会持续多久？ ## “价值洼地”修复 ## 可持续性存疑 ## 机构现分歧
36dd2f7b-f877-44fd-8c5e-b65261b20dd6
pdf
test/raw_pdf_files/36dd2f7b-f877-44fd-8c5e-b65261b20dd6.pdf
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Talbot times and typical free-fall distances for the interference of diferent nanoparticle masses considered in recent publications [15–20, 25] at the exemplary grating periodd = 192 pm considered here.We require that the particle free-falls over twice the Talbot time to observe interference fringes. The short free-fall distances facilitate a recapture of the particle within a single trap volume.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.511, 0.638, 0.929, 0.728]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 30, "edu_l1_label": "EDU_O"}, {"txt": "its own crystal lattice, resulting in drastically lower interference times and experimental requirements than other approaches.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.515, 0.762, 0.928, 0.774], [0.515, 0.776, 0.928, 0.788], [0.515, 0.789, 0.6, 0.801]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "Table I lists the required free-fall times and distances for nanoparticles of various sizes to interfere, given the exemplary difraction period of 192 pm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.6, 0.789, 0.928, 0.801], [0.515, 0.803, 0.928, 0.815], [0.515, 0.817, 0.875, 0.829]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "The END approach takes inspiration from the frst matter-wave experiments by Davisson and Germer [32] demonstrating elastic Bragg difraction of electrons at the atomic lattice structure of a crystalline specimen.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.531, 0.834, 0.928, 0.846], [0.515, 0.848, 0.928, 0.86], [0.515, 0.861, 0.928, 0.873], [0.515, 0.875, 0.879, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "If the", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.879, 0.875, 0.928, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.072, 0.86, 0.294, 0.883]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 35, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.916, 0.088, 0.931, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 36, "edu_l1_label": "EDU_O"}, {"txt": "Bragg condition is met for a given period d of lattice planes, the electron wavefunction splits into a superposition of difraction components separated by multiples of the (mass- and velocity-independent) Bragg momentum pd = h/d, where h = 2πℏdenotes Planck’s con-stant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.071, 0.121, 0.485, 0.133], [0.071, 0.134, 0.485, 0.146], [0.071, 0.148, 0.485, 0.16], [0.071, 0.162, 0.485, 0.173], [0.071, 0.175, 0.485, 0.187], [0.071, 0.189, 0.113, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "These Bragg components would show up as dis tinct bright spots on a detection screen in the far feld (Fourier plane) or they could be fltered and refocused to form d-periodic interference fringes on a farther image plane.Crucially, momentum conservation dictates that for each Bragg momentum imparted on the electron, the crystal particle receives a recoil of equal magnitude and opposite sign.In principle, Bragg difraction in a selected spatial direction can thus generate EPR-like entanglement as it maps product wavefunctions of electron and particle, ψ(x)Ψ(X), to a superposition of states thatare momentum-shifted in the relative coordinate x −X,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.113, 0.189, 0.479, 0.201], [0.071, 0.202, 0.485, 0.214], [0.071, 0.216, 0.485, 0.228], [0.071, 0.23, 0.485, 0.241], [0.071, 0.243, 0.485, 0.255], [0.071, 0.257, 0.485, 0.269], [0.071, 0.27, 0.485, 0.282], [0.071, 0.284, 0.485, 0.296], [0.071, 0.298, 0.485, 0.31], [0.071, 0.311, 0.485, 0.323], [0.071, 0.325, 0.485, 0.337], [0.071, 0.339, 0.482, 0.35]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": " ψ(x)Ψ(X) →Xfn exp npd(x X) ψ(x)Ψ(X).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.073, 0.359, 0.488, 0.397]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "(1)ℏn", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.073, 0.359, 0.488, 0.397]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "By detecting the electron position x on the image plane, where the Bragg orders interfere, one efectively erases which-way information and projects the particle state onto a phase-shifted superposition of Bragg-difracted components,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.071, 0.408, 0.485, 0.42], [0.071, 0.422, 0.485, 0.434], [0.071, 0.435, 0.485, 0.447], [0.071, 0.449, 0.485, 0.461], [0.071, 0.463, 0.163, 0.475]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "亚￡(X)α", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.122, 0.494, 0.271, 0.51]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 16, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "n", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.199, 0.513, 0.212, 0.522]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "万npa(c", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.27, 0.49, 0.346, 0.518]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Φ(X),", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.387, 0.494, 0.434, 0.509]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "(2)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.463, 0.496, 0.485, 0.508]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "- X)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.338, 0.496, 0.376, 0.506]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 15, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "up to normalisation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.071, 0.532, 0.219, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "The outcome looks as if the particle had been difracted of a grating with a period d given by the particle’s own crystal lattice.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.219, 0.532, 0.485, 0.544], [0.071, 0.546, 0.485, 0.558], [0.071, 0.56, 0.319, 0.571]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "Interference betweenthe components can be observed after an additional free evolution time on the order of the Talbot time, TM = Md2/h, which grows with the particle mass M.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.319, 0.56, 0.485, 0.571], [0.071, 0.573, 0.485, 0.585], [0.071, 0.587, 0.485, 0.599], [0.071, 0.6, 0.42, 0.612]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "The coherent recoils and their said implications are typically of no relevance in Bragg spectroscopy or in electron imaging of massive (often fxed) crystal samples.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.088, 0.614, 0.485, 0.626], [0.071, 0.628, 0.485, 0.64], [0.071, 0.642, 0.485, 0.653]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "However, they can have a sizable efect on levitated, motionally cooled nanoparticles, which have become available only recently in a mass range of M ∼106 −1012amu [15–20].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.071, 0.655, 0.485, 0.667], [0.071, 0.669, 0.485, 0.681], [0.071, 0.682, 0.481, 0.689], [0.071, 0.696, 0.164, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "In fact, the Bragg momenta here are abouta thousand times greater than the difraction momenta of optical grating structures in existing proposals for highmass interferometers [23–25, 28, 30], which implies a dras-tic reduction of the required free evolution times by a million for a given mass.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.164, 0.696, 0.485, 0.708], [0.071, 0.71, 0.485, 0.721], [0.071, 0.723, 0.485, 0.735], [0.071, 0.737, 0.485, 0.749], [0.071, 0.75, 0.485, 0.762], [0.071, 0.764, 0.25, 0.776]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "Having said that, the realisation of the efective grating transformation (2) requires a precisely timed coherent single-electron pulse to hit the particle and a postselection scheme that flters out all Bragg components other than the multiples of pd in the electron state.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.088, 0.778, 0.485, 0.79], [0.071, 0.792, 0.485, 0.803], [0.071, 0.805, 0.485, 0.817], [0.071, 0.819, 0.485, 0.831], [0.071, 0.832, 0.434, 0.844]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "Moreover, since the superposition in (2) varies in phase with the measured electron position x, the measurement resolution must be better than the Angstrom-sized period", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.434, 0.832, 0.485, 0.844], [0.071, 0.846, 0.485, 0.858], [0.071, 0.86, 0.485, 0.871], [0.071, 0.873, 0.485, 0.885]]}]}, "tags": ["text"], 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Otherwise, the interference contrast will be reduced.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.515, 0.121, 0.928, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "Transmission electron microscopy (TEM) is expected to meet these challenges in the near future; current TEMs already enable spatial resolutions <50 pm [33–36] withhighly coherent illumination [37], imaging on the micrometer scale [38], temporal control on the sub-picosecond scale [39–41], few-µrad or better resolution of difractionangles [42], and near-unitary detection efciency [43].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.515, 0.134, 0.928, 0.146], [0.515, 0.148, 0.928, 0.16], [0.515, 0.162, 0.928, 0.173], [0.515, 0.175, 0.928, 0.187], [0.515, 0.189, 0.928, 0.201], [0.515, 0.202, 0.928, 0.214], [0.515, 0.216, 0.905, 0.228]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "II.PROPOSED EXPERIMENT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.588, 0.258, 0.854, 0.268]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 58, "edu_l1_label": "BOS"}, {"txt": "The proposed experimental sequence illustrated in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.531, 0.288, 0.928, 0.299], [0.515, 0.301, 0.543, 0.313]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "1 adopts the basic interference scheme of Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.543, 0.301, 0.891, 0.313]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "[25], but with signifcant modifcations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.891, 0.301, 0.928, 0.313], [0.515, 0.315, 0.774, 0.327]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "The experiment is conducted within an ultra-fast transmission electron microscope and utilizes pulsed beams of single electrons that can be imaged with sub-atomic resolution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.79, 0.315, 0.928, 0.327], [0.515, 0.328, 0.928, 0.34], [0.515, 0.342, 0.928, 0.354], [0.515, 0.356, 0.834, 0.367]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "In the frst stage (a), a nanoparticle is captured and cooled, e.g., in an optical dipole trap [15, 44] or ion trap [19, 45].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.834, 0.356, 0.928, 0.367], [0.515, 0.369, 0.928, 0.381], [0.515, 0.383, 0.889, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "The position of the particle is measured and, e.g., feedback or cavity cooling is applied to further localise the nanoparticle state.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.889, 0.383, 0.928, 0.395], [0.515, 0.396, 0.928, 0.408], [0.515, 0.41, 0.928, 0.422], [0.515, 0.424, 0.578, 0.435]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "The trap thus serves as a point-like matter-wave source.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.578, 0.424, 0.928, 0.435], [0.515, 0.437, 0.565, 0.449]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "After release from the trap, the nanoparticle evolves freely for a time t0, before (b) a triggered single-electron pulse hits the particle and difracts of its crystal lattice.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.531, 0.451, 0.928, 0.463], [0.515, 0.465, 0.928, 0.477], [0.515, 0.478, 0.928, 0.49]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "The momentum state of the electron thus splits into distinct difraction components separated by discrete Bragg momenta, each of which imparts an equal momentum recoil on the particle in the opposite direction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.515, 0.492, 0.928, 0.504], [0.515, 0.506, 0.928, 0.517], [0.515, 0.519, 0.928, 0.531], [0.515, 0.533, 0.85, 0.545]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "A chosen Bragg momentum pd and multiples thereof are then postselected with the help of a pinhole mask placed in the back focal plane (BFP) of an objective lens (OL), which blocks the undifracted electron state and any Bragg component other than npd in a given spatial direction (xaxis) [46].To this end, one must align the particle’scrystal lattice accordingly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.85, 0.533, 0.928, 0.545], [0.515, 0.546, 0.928, 0.558], [0.515, 0.56, 0.928, 0.572], [0.515, 0.574, 0.928, 0.585], [0.515, 0.587, 0.928, 0.599], [0.515, 0.601, 0.928, 0.613], [0.515, 0.614, 0.928, 0.626], [0.515, 0.628, 0.71, 0.64]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "The selected Bragg components are allowed to interfere on an image plane further down the beam line, where the electron position x is measured.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.71, 0.628, 0.928, 0.64], [0.515, 0.642, 0.928, 0.653], [0.515, 0.655, 0.928, 0.667], [0.515, 0.669, 0.559, 0.681]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "At perfect resolution, this approximately projects a pure centre-of-mass state onto the post-measurement state (2), equivalent to the efect of a difraction grating of period d. See Appendix A for a detailed derivation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.559, 0.669, 0.928, 0.681], [0.515, 0.682, 0.928, 0.694], [0.515, 0.696, 0.928, 0.708], [0.515, 0.71, 0.892, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "The nanoparticle can be assumed at rest during this process, which takes a few nanoseconds.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.892, 0.71, 0.928, 0.722], [0.515, 0.723, 0.928, 0.735], [0.515, 0.737, 0.742, 0.749]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "Finally, the nanoparticle evolves for another time t before (c) its centre-of-mass position X is measured and it is recaptured in the original trap for the next run of the sequence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.742, 0.737, 0.928, 0.749], [0.515, 0.751, 0.928, 0.762], [0.515, 0.764, 0.928, 0.776], [0.515, 0.778, 0.797, 0.79]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "We discard runs in which the electron is not detected.Over many cycles, the measured position distribution exhibits interference fringes shifted with respect to the electron position x, which can be calculated using standard phase-space methods; see Appendix B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.797, 0.778, 0.928, 0.79], [0.515, 0.791, 0.928, 0.803], [0.515, 0.805, 0.928, 0.817], [0.515, 0.819, 0.928, 0.83], [0.515, 0.832, 0.928, 0.844], [0.515, 0.846, 0.707, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "Figure 2 depicts exemplary interference fringe patterns we predict assuming perfect measurement resolu-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.531, 0.86, 0.928, 0.871], [0.515, 0.873, 0.928, 0.885]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.915, 0.088, 0.932, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 75, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.108, 0.112, 0.889, 0.47]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 76, "edu_l1_label": "EDU_O"}, {"txt": "FIG. 1. Proposed scheme of electron-enabled nanoparticle difraction consisting of three steps: (a) a nanoparticle of mass M is cooled close to its motional ground state in, e.g., an optical trap, acting as a highly localised matter wave source released into free fall when the trap is switched of. After a sufcient buildup of coherent delocalisation over the time t0, (b) a triggered single-electron wave packet impinges and Bragg-difracts of the particle’s lattice structure. As each imparted Bragg momentumcomes with an equivalent recoil, the wavefunctions of particle and electron are now entangled. The electron passes a mask on the back focal plane (BFP) of an objective lens (OL), which selects Bragg orders corresponding to a lattice period d (Inset: difraction image of a silicon crystal with selected Bragg orders of periodicity d = 192 pm used in our case study). The selected orders are recombined on an image plane by the projector lens (PL) system and an energy flter is used to exclude inelastic events. The detector at the image plane records the electron’s position x. This efectively maps the particle wavefunction into anx-dependent superposition of Bragg momenta. They are allowed to interfere over another free-fall time t, before (c) the position X is measured and the particle re-trapped. Given free-fall times of at least one Talbot time, t, t0 ≳TM, stable interferencefringes of magnifed period D = d(1 + t/t0) in the relative coordinate X −xD/d will form over many valid repetitions (i.e.,whenever the electron is detected).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.069, 0.478, 0.934, 0.645]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 77, "edu_l1_label": "EDU_O"}, {"txt": "tion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.071, 0.671, 0.105, 0.683]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "The pattern is given relative to the measured electron position x and would be smeared out accordingly at fnite resolution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.113, 0.671, 0.485, 0.683], [0.071, 0.684, 0.485, 0.696], [0.071, 0.698, 0.217, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "In our case study, we consider a silicon nanoparticle of mass M = 2 × 109 amu and thetrap parameters of Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.233, 0.698, 0.485, 0.71], [0.071, 0.712, 0.485, 0.723], [0.071, 0.725, 0.241, 0.737]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "[15], which results in an approximately pure Gaussian source state of standard deviation σX ≈1.4 pm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.241, 0.725, 0.485, 0.737], [0.071, 0.739, 0.485, 0.751], [0.071, 0.752, 0.168, 0.764]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "Our mask shall consist of 4 pinholes select-ing the multiples n = ±1, ±2 of the Bragg order specifedby the Miller indices (110) in primitive-cell representation [i.e., (202) in the conventional cubic-cell notation].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.168, 0.752, 0.485, 0.764], [0.071, 0.766, 0.485, 0.778], [0.071, 0.78, 0.485, 0.791], [0.071, 0.793, 0.446, 0.805]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "The associated grating period is d = 192 pm, which demands that the pinholes be a few micrometres in size [46].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.446, 0.793, 0.485, 0.805], [0.071, 0.807, 0.485, 0.819], [0.071, 0.82, 0.455, 0.832]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "To ensure spatial coherence of the nanoparticle over one period, we let it evolve for one Talbot time before the electron interaction, t0 = TM ≈192 µs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.455, 0.82, 0.485, 0.832], [0.071, 0.834, 0.485, 0.846], [0.071, 0.848, 0.485, 0.859], [0.071, 0.861, 0.332, 0.873]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "In (a), we show the", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.332, 0.861, 0.485, 0.873]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "interferogram of the recaptured nanoparticle after varying times t. The fringe period magnifes geometrically as D = d(1+t/t0).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.515, 0.671, 0.928, 0.683], [0.515, 0.684, 0.605, 0.696], [0.605, 0.684, 0.928, 0.696], [0.515, 0.698, 0.632, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "Notice that the existence of fringes does not certify the quantum wave nature of the nanoparticle.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.632, 0.698, 0.928, 0.71], [0.515, 0.712, 0.928, 0.723], [0.515, 0.725, 0.539, 0.737]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "Treating the electron interaction stage as a classical grating aperture would result in the shadow pattern (b), and one cannot claim quantum interference whenever the patterns (a) and (b) coincide.Panel (c) compares the fringe patterns at t0, t = TM, where they difer the most.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.539, 0.725, 0.928, 0.737], [0.515, 0.739, 0.928, 0.751], [0.515, 0.752, 0.928, 0.764], [0.515, 0.766, 0.928, 0.778], [0.515, 0.78, 0.928, 0.791]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "To reveal the quantum fringes, the measurement resolution must be better than d/4 = 48 pm for the electron and D/4 = 96 pm for the nanoparticle, which are within reach [36, 45, 47, 48].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.515, 0.793, 0.928, 0.805], [0.515, 0.807, 0.928, 0.819], [0.515, 0.82, 0.928, 0.832], [0.515, 0.834, 0.674, 0.846]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "The short total interference time t+t0 = 384 µs amounts to a free-fall distance of less thana micrometre, which allows for recapture and thus a fast", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.674, 0.834, 0.928, 0.846], [0.515, 0.848, 0.928, 0.859], [0.515, 0.861, 0.928, 0.873]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.915, 0.088, 0.932, 0.101]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 91, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.068, 0.112, 0.935, 0.452]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 92, "edu_l1_label": "EDU_O"}, {"txt": "FIG. 2. Exemplary fringe patterns for an aligned silicon nanocrystal of mass M = 2×109 amu, based on electron Bragg difractionat ±(1¯10), ±(2¯20) and plotted against the relative coordinate XxD/d with respect to the detected electron position x. The particle is released and expands freely for the time t0 = TM = 192− µs before the electron difraction. In (a), we plot the positiondistribution of the particle as a function of time t after difraction, normalised to its maximum value at each t. In (b), we show the hypothetical shadow pattern for a classical particle transmitted by a classical aperture. (c) Position distributions at t = TM [dotted lines in (a) and (b)] corresponding to quantum interference (red solid) and classical shadow fringes (black solid), in units relative to the maximum of the classical pattern. The dashed line indicates the Gaussian distribution of a freely evolved particle without difraction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.069, 0.465, 0.932, 0.568]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 93, "edu_l1_label": "EDU_O"}, {"txt": "duty cycle.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.071, 0.594, 0.151, 0.606]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "III.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.101, 0.639, 0.127, 0.649]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 95, "edu_l1_label": "BOS"}, {"txt": "RELEVANT SYSTEMATIC EFFECTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.145, 0.639, 0.455, 0.649]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "Our exemplary analysis is carried out for a typical electron energy of 300 keV and a silicon nanoparticle in the shape of an oblate spheroid of radius RM = 109 nm and thickness 2bM = 60 nm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.088, 0.669, 0.485, 0.681], [0.071, 0.683, 0.485, 0.695], [0.071, 0.696, 0.415, 0.71], [0.415, 0.696, 0.485, 0.708], [0.071, 0.71, 0.227, 0.722], [0.227, 0.71, 0.28, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "This amounts to the mass of a particle for which ground-state cooling was already achieved [15], but our scheme can also be operated with larger particles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.291, 0.71, 0.485, 0.722], [0.071, 0.724, 0.485, 0.735], [0.071, 0.737, 0.485, 0.749], [0.071, 0.751, 0.188, 0.763]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "The electrons shall have a Gaussian transverse profle with a 115 nm half-width-half-max spot size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.206, 0.751, 0.485, 0.763], [0.071, 0.764, 0.485, 0.776], [0.071, 0.778, 0.102, 0.79]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "From this, we estimate the probability to detect the Bragg-fltered electron as Prdet ≈0.1%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.102, 0.778, 0.485, 0.79], [0.071, 0.792, 0.366, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "Temporal trig-gering suppresses unwanted detection events due to, e.g., cosmic rays.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.366, 0.792, 0.485, 0.803], [0.071, 0.805, 0.485, 0.817], [0.071, 0.819, 0.161, 0.831]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "The duty cycle of our proposed scheme is mainly constrained by the free evolution time, which can be as short as two Talbot times (see Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.161, 0.819, 0.485, 0.831], [0.071, 0.832, 0.485, 0.844], [0.071, 0.846, 0.383, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.383, 0.846, 0.409, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "Particles lighter than 2.5 · 109 amu would fall less than 1 µm andcould be easily re-trapped within the same potential for", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.409, 0.846, 0.485, 0.858], [0.071, 0.86, 0.485, 0.871], [0.071, 0.873, 0.485, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "reuse in subsequent experiments, allowing for experimental repetition times of about 1 ms. Consequently, considering Prdet and the Poissonian nature of the electron production process, we estimate approximately 1000 successful experimental runs within one hour.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.515, 0.594, 0.928, 0.606], [0.515, 0.608, 0.774, 0.62], [0.788, 0.608, 0.928, 0.62], [0.515, 0.621, 0.928, 0.633], [0.515, 0.635, 0.928, 0.647], [0.515, 0.649, 0.825, 0.66]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "We assume that the electrons are only scattered once and elastically, neglecting both multi-scattering and inelastic scattering.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.531, 0.666, 0.928, 0.678], [0.515, 0.679, 0.928, 0.691], [0.515, 0.693, 0.642, 0.705]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "Multi-scattering can either enhance or suppress the amplitudes of certain Bragg peaks, calling for a detailed analysis based on the actual shape and size of the nanoparticle in a realisation of our proposal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.642, 0.693, 0.928, 0.705], [0.515, 0.707, 0.928, 0.718], [0.515, 0.72, 0.928, 0.732], [0.515, 0.734, 0.878, 0.746]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "Given an inelastic mean free path in silicon of about 180 nm [49], unwanted decoherence due to inelastic scattering should be negligible in our case study.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.878, 0.734, 0.928, 0.746], [0.515, 0.747, 0.928, 0.759], [0.515, 0.761, 0.928, 0.773], [0.515, 0.775, 0.741, 0.786]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "To mitigate decoherence for larger particles, the electrons can also be post-selected according to the amount of energy they have lost.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.741, 0.775, 0.928, 0.786], [0.515, 0.788, 0.928, 0.8], [0.515, 0.802, 0.881, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "Modern TEM setups with electron energy flters allow for an energy fltered imaging resolution of less than 250 meV [50, 51].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.881, 0.802, 0.928, 0.814], [0.515, 0.815, 0.928, 0.827], [0.515, 0.829, 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{"txt": "If the orientation of the nanoparticle isnot controlled, our scheme still works, albeit with a reduced scattering rate into the chosen Bragg peaks and a loss of contrast due to imperfect Bragg peak selection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.19, 0.162, 0.485, 0.173], [0.071, 0.175, 0.485, 0.187], [0.071, 0.189, 0.485, 0.201], [0.071, 0.202, 0.469, 0.214]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "Localized charges attached to the nanoparticle (e.g., remaining surface charges or charges created by the electron beam) will induce an additional electrostatic defection of the electrons by an angle of the order of e2/(2πε0meγv2d), where γ = (1 −v2/c2)−1/2 is theLorentz factor, c is the speed of light and d is the impact parameter of the electron with respect to the localized charge.", "language": 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electron-induced sublimation of silicon atoms, changing the mass and potentially the shape of the nanoparticle.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.088, 0.353, 0.485, 0.364], [0.071, 0.366, 0.485, 0.378], [0.071, 0.38, 0.485, 0.392]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "However, due to the relatively low electron dose proposed for the successful implementation of the experiment (106 electrons per 3.7×104 nm2 cross-section area), the chanceof a sputtering event is negligible [55].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.071, 0.393, 0.485, 0.405], [0.071, 0.407, 0.484, 0.414], [0.071, 0.421, 0.485, 0.432], [0.071, 0.434, 0.346, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, 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"label": "content", "web_segment_id": 6, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "This problem could be mitigated by employing a suitable dielectric material with low absorption or by operating with a charged nanoparticle in an ion trap [19, 20].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.234, 0.516, 0.485, 0.528], [0.071, 0.53, 0.485, 0.542], [0.071, 0.543, 0.485, 0.555], [0.071, 0.557, 0.216, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "IV.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.131, 0.599, 0.157, 0.609]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 124, "edu_l1_label": "BOS"}, {"txt": "DECOHERENCE ESTIMATES", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.174, 0.599, 0.425, 0.609]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "Massive neutral particles are subject to decoherence, mainly caused by emission of thermal radiation and by collisions with residual gas particles [57].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.088, 0.628, 0.485, 0.64], [0.071, 0.642, 0.485, 0.654], [0.071, 0.656, 0.365, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "The result is an exponential reduction of fringe visibility with an exponent Γdec(t + t0), proportional to the total interference timeand an efective decoherence rate that depends on the material properties, the mass M, and the fringe period d. Compared to other high-mass interference schemes, the interference time and fringe period are much shorter here, alleviating the impact of decoherence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.365, 0.656, 0.485, 0.667], [0.071, 0.669, 0.485, 0.681], [0.071, 0.683, 0.485, 0.695], [0.071, 0.696, 0.485, 0.708], [0.071, 0.71, 0.485, 0.722], [0.071, 0.724, 0.485, 0.735], [0.071, 0.737, 0.485, 0.749], [0.071, 0.751, 0.349, 0.763]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "For a simple conservative estimate, we extrapolate from the experiment proposed in Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.349, 0.751, 0.485, 0.763], [0.071, 0.764, 0.485, 0.776], [0.071, 0.778, 0.197, 0.79]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "[25] for a silicon particle of 106 amu, with 102 ms interference time, and 103 nm fringe period.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.197, 0.778, 0.485, 0.79], [0.071, 0.792, 0.485, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Here, the mass is more than a factor 103 greater, the interference time 103 smaller, and the fringe period more than 103 smaller.For the case of gas collisions, Γdecis conservatively estimated by the collision rate, which scales roughly like M 2/5.Decoherence is therefore reduced by about 10−9/5 compared to Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.071, 0.805, 0.485, 0.817], [0.071, 0.819, 0.485, 0.831], 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"edu_l1_label": "IOS"}, {"txt": "Hence, decoherence should be irrelevant for vacuum pressures of 10−9 mbar, which is achievable inmodern TEMs [58], and internal particle temperatures below their melting point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.601, 0.175, 0.928, 0.187], [0.515, 0.189, 0.928, 0.201], [0.515, 0.202, 0.928, 0.214], [0.515, 0.216, 0.705, 0.228]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "Dephasing due to charging of the nanoparticle can also be safely neglected.The dipole trap is placed in between the pole pieces of the TEM, providing a spherical volume with a radius r = 2 mm of vacuum to decouple the nanoparticle from the environment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.531, 0.23, 0.928, 0.242], 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DISCUSSION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.648, 0.393, 0.666, 0.403], [0.684, 0.393, 0.795, 0.403]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 139, "edu_l1_label": "BOS"}, {"txt": "The proposed electron-enabled nanoparticle difraction scheme represents a viable route towards high-mass matter-wave experiments with levitated nanoparticles at the mass scale of 109 amu and beyond.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.531, 0.422, 0.928, 0.434], [0.515, 0.436, 0.928, 0.448], [0.515, 0.449, 0.928, 0.461], [0.515, 0.463, 0.806, 0.475]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "Leveraging the precise control and high spatio-temporal resolution of present-day transmission electron microscopy, the END scheme exploits the coherent recoil caused by Bragg difraction of atomic structures, which entangles the wavefunctions of electron and nanoparticle.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.806, 0.463, 0.928, 0.475], [0.515, 0.477, 0.928, 0.488], [0.515, 0.49, 0.928, 0.502], [0.515, 0.504, 0.928, 0.516], [0.515, 0.517, 0.928, 0.529], [0.515, 0.531, 0.837, 0.543]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "Upon electron detection, the particle self-interferes within a short free-fall time of less than a millisecond (at 109 amu); see Table I.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.837, 0.531, 0.928, 0.543], [0.515, 0.545, 0.928, 0.556], [0.515, 0.558, 0.928, 0.57], [0.515, 0.572, 0.609, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "This not only relaxes the experimental constraints associated with high-vacuum conditions and black-body radiation, but it also facilitates a reliable recapture of the nanoparticles and fast experimental duty cycles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.609, 0.572, 0.928, 0.584], [0.515, 0.585, 0.928, 0.597], [0.515, 0.599, 0.928, 0.611], [0.515, 0.613, 0.928, 0.625], [0.515, 0.626, 0.562, 0.638]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "Our exemplary case study with M = 2 × 109 amu andan interference time t = 1 ms could reach a logarithmic macroscopicity as high as µ ≈16.3—two orders of mag-nitude above the status quo [10, 59].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.531, 0.64, 0.928, 0.652], [0.515, 0.654, 0.928, 0.665], [0.515, 0.667, 0.928, 0.679], [0.515, 0.681, 0.792, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "This is based on an empirical measure that compares the ‘size’ of quan-tum superposition states achieved in experiments with mechanical degrees of freedom [60]; see App.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.792, 0.681, 0.928, 0.693], [0.515, 0.694, 0.928, 0.706], [0.515, 0.708, 0.928, 0.72], [0.515, 0.722, 0.852, 0.733]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "C for details.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.852, 0.722, 0.928, 0.733], [0.515, 0.735, 0.55, 0.747]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "Going further, one could envisage whole sequences of consecutive electron interactions for multi-particle entanglement and interference experiments within shallow nanoparticle traps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.55, 0.735, 0.928, 0.747], [0.515, 0.749, 0.928, 0.761], [0.515, 0.762, 0.928, 0.774], [0.515, 0.776, 0.652, 0.788]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "ACKNOWLEDGEMENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.616, 0.816, 0.827, 0.827]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 11, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "The authors thank Markus Arndt, Peter Schattschneider and Paul Hamilton for fruitful discussions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.531, 0.846, 0.928, 0.858], [0.515, 0.86, 0.845, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "PH thanks the Austrian Science Fund (FWF): Y1121, P36041,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.845, 0.86, 0.928, 0.871], [0.515, 0.873, 0.727, 0.885], [0.727, 0.873, 0.928, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.917, 0.089, 0.932, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 151, "edu_l1_label": "EDU_O"}, {"txt": "P35953 and the FFG-project AQUTEM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.071, 0.121, 0.38, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "DR acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’sExcellence Strategy – EXC-2123 QuantumFrontiers390837967.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.38, 0.121, 0.485, 0.133], [0.071, 0.134, 0.485, 0.146], [0.071, 0.148, 0.485, 0.16], [0.071, 0.162, 0.466, 0.173], [0.071, 0.175, 0.151, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "Appendix A:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.1, 0.217, 0.2, 0.228]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 9, "global_sentence_id": 154, "edu_l1_label": "EDU_O"}, {"txt": " Efective grating transformation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.2, 0.217, 0.456, 0.228]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 9, "global_sentence_id": 155, "edu_l1_label": "EDU_O"}, {"txt": "Consider the Bragg difraction of a pulsed singleelectron beam at a single silicon crystal, determined by a scattering operator Sˆ = 1 + i Tˆ that maps an incom-ing wave function |ψin⟩into |ψout⟩= |ψin⟩+ i Tˆ|ψin⟩.We operate in the paraxial regime of high kinetic energy (E0 = eU), in which the de Broglie wavelength, λ = hc/E0(2mec2 + E0), is much smaller than the lat-tice consptant a.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.088, 0.247, 0.485, 0.259], [0.071, 0.261, 0.485, 0.273], [0.071, 0.274, 0.485, 0.286], [0.071, 0.288, 0.337, 0.308], [0.347, 0.288, 0.485, 0.3], [0.071, 0.302, 0.485, 0.313], [0.071, 0.315, 0.485, 0.327], [0.071, 0.33, 0.485, 0.342], [0.071, 0.344, 0.183, 0.356]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "Then, given beam propagation along the z-axis and a not too large crystal volume, the electron will undergo a single small-angle scattering transformation at the crystal’s periodic lattice of atoms, as described by theeikonal approximation [38],", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.183, 0.344, 0.485, 0.356], [0.071, 0.358, 0.485, 0.37], [0.071, 0.371, 0.485, 0.383], [0.071, 0.385, 0.485, 0.397], [0.071, 0.399, 0.27, 0.41]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 157, "edu_l1_label": "EDU_O"}, {"txt": "s≈exp", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.15, 0.432, 0.211, 0.45]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 35, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "心", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.225, 0.434, 0.246, 0.446]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 34, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "p(r", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.346, 0.438, 0.369, 0.446]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 33, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "(A1)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.451, 0.436, 0.485, 0.448]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 15, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "hkl", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.224, 0.45, 0.254, 0.462]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 32, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "Here, ˆr⊥= (xˆ, yˆ) denotes the transverse position opera-tor of the electron relative to the crystal’s centre of mass.The sum consists of Bragg momentum displacements by reciprocal lattice vectors ghkℓof length ghkℓ= 2π/dhkℓ,specifed by Miller indices (hkℓ).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.071, 0.474, 0.485, 0.486], [0.071, 0.487, 0.485, 0.499], [0.071, 0.501, 0.485, 0.513], [0.071, 0.515, 0.485, 0.527], [0.071, 0.528, 0.311, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "The displacements areweighted by the amplitudes", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.311, 0.528, 0.485, 0.54], [0.071, 0.542, 0.273, 0.554]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "Jnke = Fhke", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.102, 0.578, 0.189, 0.593]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 28, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "1+", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.201, 0.581, 0.223, 0.589]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 27, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "EO", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.239, 0.571, 0.261, 0.582]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 30, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "2Z", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.314, 0.571, 0.335, 0.582]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 29, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "zg(3sià", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.323, 0.562, 0.39, 0.588]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 31, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "(A2)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.451, 0.578, 0.485, 0.59]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "mec2/1 + (2πasi/dhkt)2 ′", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.226, 0.58, 0.425, 0.604]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 26, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "assuming single-atom scattering in the Wentzel model at small scattering angles, with atomic parameters ZSi = 14, aSi = a0/ZS1i/ 3, and a0 the Bohr radius.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.071, 0.612, 0.485, 0.623], [0.071, 0.625, 0.485, 0.637], [0.071, 0.641, 0.365, 0.653]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "The term Fhkℓis the structure factor of the lattice unit cell.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.365, 0.641, 0.484, 0.654], [0.071, 0.655, 0.402, 0.666]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "Of course, the Bragg difraction in (A1) is restricted to beam trajectories that penetrate the crystal volume V ≫a3, whichis taken into account by the homogeneous, trajectoryaveraged density of unit cells ϱ(r⊥) =dz ϱ(r⊥+ zez).For an oblate ellipsoid of thickness 2bMR and radius RM containing Ncell unit cells, we get", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.402, 0.655, 0.485, 0.666], [0.071, 0.668, 0.485, 0.68], [0.071, 0.682, 0.485, 0.694], [0.071, 0.695, 0.485, 0.707], [0.071, 0.709, 0.485, 0.721], [0.071, 0.723, 0.483, 0.735], [0.071, 0.736, 0.315, 0.748]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "@(r⊥) =", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.114, 0.77, 0.176, 0.784]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 22, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "Ncell", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.18, 0.761, 0.216, 0.776]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 24, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "V", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.192, 0.778, 0.206, 0.788]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 20, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "d≥0", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.237, 0.77, 0.276, 0.781]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 23, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "r2", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.322, 0.761, 0.347, 0.773]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 25, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "RM", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.316, 0.773, 0.35, 0.791]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 41, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "6M", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.358, 0.773, 0.405, 0.794]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 21, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "(A3)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.451, 0.77, 0.485, 0.782]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 17, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "with Θ the Heaviside function and V = 4πbMRM2/3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.071, 0.805, 0.455, 0.817]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "Silicon has a diamond cubic crystal structure with lattice constant a = 543 pm, a primitive unit cell of 2 atoms, and a structure factor Fhkℓ= 2 cos[(h + k + ℓ)π/4];", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.088, 0.819, 0.485, 0.831], [0.071, 0.832, 0.485, 0.844], [0.071, 0.846, 0.452, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": " anyBragg order for which (h + k + ℓ)/2 is an odd integer istherefore kinematically forbidden.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.452, 0.846, 0.485, 0.858], [0.071, 0.86, 0.485, 0.871], [0.071, 0.873, 0.319, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 185, "edu_l1_label": "EDU_O"}, {"txt": "As the electron propagates freely to the far-feld, or back focal plane of an objective lens, its wavefunction separates into spatially distinct Bragg components.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.531, 0.121, 0.928, 0.133], [0.515, 0.134, 0.928, 0.146], [0.515, 0.148, 0.901, 0.16]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "A transmission mask of circular pinholes allows us to select a subset of these components and block all the others.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.915, 0.148, 0.928, 0.16], [0.515, 0.162, 0.928, 0.173], [0.515, 0.175, 0.928, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "We can describe this by multiplying an aperture function M(p⊥) to the state in momentum representation,|ψout⟩→|ψsel⟩= M(pˆ⊥)|ψout⟩.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.515, 0.189, 0.928, 0.201], [0.515, 0.202, 0.928, 0.214], [0.515, 0.216, 0.748, 0.228]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "Here we consider a lin-ear confguration of pinholes separated along the spacefxed x-axis by multiples of a fxed difraction momentum 2πℏ/d,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.748, 0.216, 0.928, 0.228], [0.515, 0.23, 0.928, 0.241], [0.515, 0.243, 0.928, 0.255], [0.515, 0.257, 0.564, 0.269]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "M(p⊥) =", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.584, 0.286, 0.713, 0.303]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 39, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "n≠0", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.658, 0.303, 0.686, 0.318]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 36, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "2πh", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.784, 0.279, 0.815, 0.295]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 40, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "DI", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.735, 0.293, 0.754, 0.299]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 38, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "d", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.787, 0.295, 0.807, 0.307]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 37, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "(A4)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.894, 0.288, 0.928, 0.3]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 16, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "where we choose a d = dh0k0ℓ0 with a sizeable scatteringamplitude fh0k0ℓ0.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.515, 0.325, 0.928, 0.337], [0.515, 0.339, 0.647, 0.351]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "Each pinhole thus selects a difractioncomponent of the scattered electron state with matching Bragg momentum, ghkℓ= 2πn/d, provided there is onepointing in x-direction for the given crystal orientation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.647, 0.339, 0.928, 0.351], [0.515, 0.352, 0.928, 0.364], [0.515, 0.366, 0.928, 0.378], [0.515, 0.38, 0.928, 0.391]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "Since we assume that the undifracted component (n = 0) is blocked, M(pˆ⊥)|ψin⟩= 0, the overall transformationcan be written as |ψsel⟩= iM(pˆ⊥) Tˆ|ψin⟩.Expandingthe scattering operator (A1) to linear order, we can further simplify Tˆ ≈hstudy, we pick (h0kP0ℓ0) from the {1¯10}-⊥family of latticeplanes with a fairly large period, d = a/2√2 = 192 pm,and we transmit the Bragg peaks up to the second order, n = ±1, ±2.Expressed in terms of the conven-tional cubic unit cell, the chosen family corresponds to {H0K0L0} = {20¯2} [61].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.515, 0.393, 0.928, 0.405], [0.515, 0.407, 0.928, 0.419], [0.515, 0.422, 0.928, 0.434], [0.515, 0.436, 0.928, 0.448], [0.515, 0.451, 0.676, 0.466], [0.515, 0.465, 0.928, 0.477], [0.515, 0.48, 0.928, 0.491], [0.515, 0.493, 0.928, 0.505], [0.515, 0.507, 0.928, 0.519], [0.515, 0.52, 0.928, 0.532], [0.515, 0.534, 0.694, 0.546]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "The electron then propagates further (either freely or by means of lens imaging) to the image plane where the selected Bragg orders interfere and form a fringe pattern of period d. Measuring the electron in a positionresolving detector amounts to projecting the wavefunction |ψsel⟩onto a position eigenstate |r⊥⟩correspondingto the registered outcome.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.531, 0.548, 0.928, 0.56], [0.515, 0.561, 0.928, 0.573], [0.515, 0.575, 0.928, 0.587], [0.515, 0.588, 0.928, 0.6], [0.515, 0.602, 0.928, 0.614], [0.515, 0.616, 0.928, 0.628], [0.515, 0.629, 0.709, 0.641]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "This assumes a spatial resolution much better than d.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.709, 0.629, 0.928, 0.641], [0.515, 0.643, 0.71, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "So far, we have treated the crystal as a fxed motionless object.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.531, 0.657, 0.928, 0.668], [0.515, 0.67, 0.597, 0.682]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "In our setting however, both the centre-ofmass position R and the orientation Ωof the crystal aredynamical (quantum) variables that enter the scattering transformation Tˆ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.597, 0.67, 0.928, 0.682], [0.515, 0.684, 0.928, 0.696], [0.515, 0.697, 0.928, 0.709], [0.515, 0.713, 0.647, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "We can re-introduce them explicitlyby noting that the electron position in Tˆ is measuredrelative to R⊥= (X, Y ) and the body-fxed reciprocallattice vectors ghkℓare rotated by Ωwith respect to thespace-fxed frame,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.647, 0.713, 0.928, 0.725], [0.515, 0.726, 0.928, 0.738], [0.515, 0.74, 0.928, 0.752], [0.515, 0.754, 0.928, 0.765], [0.515, 0.767, 0.646, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "T(R⊥,A) = fhk(e′R(0)9ne(t⊥-R⊥)w(f⊥ = R⊥).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.533, 0.788, 0.91, 0.808]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 19, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "hkl", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.629, 0.808, 0.651, 0.82]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 18, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "(A5)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.894, 0.819, 0.928, 0.831]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "Here, R(Ω) denotes a rotation matrix, which one canparametrise in terms of Euler angles (αβγ), for example.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.515, 0.832, 0.928, 0.844], [0.515, 0.846, 0.928, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Now let |Ψcm⟩be the centre-of-mass wavefunction ofthe nanoparticle upon the scattering event and let |Ω⟩be", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.531, 0.86, 0.928, 0.871], [0.515, 0.873, 0.928, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.916, 0.088, 0.932, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 209, "edu_l1_label": "EDU_O"}, {"txt": "an arbitrary orientation state of the lattice.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.071, 0.121, 0.388, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "The scattering operator Tˆ acts on the product state of electron andcrystal.Conditioned on the detected electron position r⊥, the Bragg scattering event transforms the motionalstate of the crystal as |Ψcm⟩|Ω⟩→Kˆ(r⊥, Ω)|Ψcm⟩|Ω⟩,where", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.388, 0.121, 0.485, 0.133], [0.071, 0.134, 0.485, 0.146], [0.071, 0.148, 0.485, 0.16], [0.071, 0.162, 0.485, 0.173], [0.071, 0.175, 0.485, 0.187], [0.071, 0.189, 0.114, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "K(r⊥,Ω) = (r⊥|iM(p⊥)f(R⊥,N)|vin).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.114, 0.212, 0.408, 0.231]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 29, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "(A6)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.451, 0.217, 0.485, 0.228]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "Here we neglect the electron’s time of fight to the de-tector, which is much shorter than any motional time scale of the crystal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.071, 0.244, 0.485, 0.256], [0.071, 0.258, 0.485, 0.27], [0.071, 0.272, 0.216, 0.283]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "The transformation of the reduced centre-of-mass state is then obtained by averaging over a distribution µ(Ω) of orientations the crystal assumes atthe moment of scattering, given an uncorrelated incoherent mixture of orientations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.216, 0.272, 0.485, 0.283], [0.071, 0.285, 0.485, 0.297], [0.071, 0.299, 0.485, 0.311], [0.071, 0.312, 0.485, 0.324], [0.071, 0.326, 0.268, 0.338]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "For a general (pure or mixed) state ρcm, the transformation reads as", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.268, 0.326, 0.485, 0.338], [0.071, 0.34, 0.351, 0.351]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "d3Ωμμ(Ω)K(r⊥,Ω)pcmRt(r⊥,Ω),", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.172, 0.368, 0.421, 0.387]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 28, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "(A7)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.451, 0.373, 0.485, 0.385]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "which can be seen as the Kraus representation of a completely positive (but not trace-preserving) map on the centre-of-mass state.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.071, 0.407, 0.485, 0.419], [0.071, 0.421, 0.485, 0.433], [0.071, 0.434, 0.223, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "We will see that it acts as a partially coherent grating transformation that can lead to de Broglie self-interference of the crystal, depending on the spread of orientations averaged over.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.223, 0.434, 0.485, 0.446], [0.071, 0.448, 0.485, 0.46], [0.071, 0.462, 0.485, 0.473], [0.071, 0.475, 0.339, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "Let us frst summarize the transformation of the elec tron beam that defnes the overall map (A7).Given a crystal position R⊥, the function K(r⊥, Ω) in (A6)describes the amplitude of the electron wavefunction at r⊥on the detection plane.To arrive there, the incoming wavefunction undergoes three transformation steps.First, it is multiplied by the averaged homogeneous density ϱ describing the cross-section area withinwhich the electron enters the crystal and Bragg scattering can take place.This efective aperture smears out the momentum spread of the initial electron wavefunction, which we give in units of wavenumbers by the standard deviation ∆kin.Concretely, the Fouriertransform of (A3) for an oblate spheroidal crystal volume, ϱ˜(k⊥) = 3Ncellj1(k⊥RM)/k⊥RM with j1 a spheri-cal Bessel function, contributes a spread of the order of ∆kvol ≈4.5/RM, as per the frst zero of j1(x)/x.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.088, 0.49, 0.479, 0.502], [0.071, 0.504, 0.485, 0.515], [0.071, 0.517, 0.485, 0.529], [0.071, 0.531, 0.485, 0.543], [0.071, 0.544, 0.307, 0.556], [0.328, 0.544, 0.485, 0.556], [0.071, 0.558, 0.485, 0.57], [0.071, 0.572, 0.485, 0.583], [0.071, 0.585, 0.485, 0.597], [0.071, 0.599, 0.485, 0.611], [0.071, 0.612, 0.485, 0.624], [0.071, 0.626, 0.485, 0.638], [0.071, 0.64, 0.485, 0.651], [0.071, 0.653, 0.485, 0.665], [0.071, 0.667, 0.485, 0.679], [0.071, 0.68, 0.485, 0.692], [0.071, 0.694, 0.485, 0.706], [0.071, 0.708, 0.429, 0.719]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Secondly, the smeared wavefunction undergoes Bragg difraction at the crystal lattice, which splits it into a weighted superposition of momentum-displaced instances, as seen in (A5).Since the Bragg momenta are much larger than the incoming wavefunction spread, ghkℓ≫∆kin, ∆kvol, the displaced wavefunctions do notoverlap with one another.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.088, 0.722, 0.485, 0.734], [0.071, 0.736, 0.485, 0.748], [0.071, 0.75, 0.485, 0.761], [0.071, 0.763, 0.485, 0.775], [0.071, 0.777, 0.485, 0.789], [0.071, 0.79, 0.485, 0.802], [0.071, 0.804, 0.259, 0.816]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "Thirdly, the transmission mask (A4) blocks the undifracted wavefunction as well as any Bragg-difracted one that does not overlap with one of the pinholes in momentum space, labeled by n. Only those Bragg orders can pass for which [R(Ω)ghkℓ]⊥≈(2πn/d)ex", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.088, 0.819, 0.485, 0.831], [0.071, 0.832, 0.485, 0.844], [0.071, 0.846, 0.485, 0.858], [0.071, 0.86, 0.485, 0.871], [0.071, 0.873, 0.398, 0.886]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "In what follows, we will make four simplifying assumptions in accordance with realistic experimental settings:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.531, 0.121, 0.928, 0.133], [0.515, 0.134, 0.928, 0.146], [0.515, 0.148, 0.555, 0.16]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": " (i) the initial electron wavefunction is Gaussian, ⟨r⊥|ψin⟩∝e−∆ki2nr⊥2, and illuminates a cross-section area greater than the size of the crystal particle, so that ∆kin < ∆kvol.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.555, 0.148, 0.928, 0.16], [0.515, 0.164, 0.605, 0.176], [0.605, 0.162, 0.657, 0.166], [0.661, 0.164, 0.928, 0.176], [0.515, 0.177, 0.928, 0.189], [0.515, 0.191, 0.617, 0.203]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "Next, we assume (ii) that the crystal vol-ume is larger than the spread of its centre-of-mass state, so that we can approximate ϱ(ˆr⊥−R⊥) ≈ϱ(ˆr⊥) in (A5).We introduce the abbreviation |ψin⟩:= ϱ(ˆr⊥)|ψin⟩forthe smeared (and no longer unit-norm) electron wavefunction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.617, 0.191, 0.928, 0.203], [0.515, 0.205, 0.928, 0.216], [0.515, 0.218, 0.928, 0.23], [0.515, 0.232, 0.928, 0.244], [0.515, 0.245, 0.928, 0.257], [0.515, 0.259, 0.579, 0.271]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "Moreover, (iii) the pinhole apertures M0 shall be large compared to the momentum spread of the smeared electron wavefunction (such that difraction at this aperture is negligible), but small compared to the distance of neighbouring Bragg peaks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.579, 0.259, 0.928, 0.271], [0.515, 0.273, 0.928, 0.285], [0.515, 0.286, 0.928, 0.298], [0.515, 0.3, 0.928, 0.312], [0.515, 0.314, 0.799, 0.325]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "Mathematically, M0(|pˆ⊥|)|ψin⟩≈|ψin⟩whereas M0(|pˆ⊥−ℏghkℓ|)|ψin⟩≈0for any (hkℓ) = 0.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.799, 0.314, 0.928, 0.325], [0.515, 0.327, 0.928, 0.339], [0.515, 0.341, 0.643, 0.353]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "Finally, (iv) we assume that the crystallattice is brought into a fxed orientation Ω0 upon scat-tering.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.643, 0.341, 0.928, 0.353], [0.515, 0.354, 0.928, 0.366], [0.515, 0.368, 0.562, 0.38]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "In this orientation, the reciprocal lattice vector of the chosen reference Bragg peak (h0k0ℓ0) shall alignwith the x-axis, R(Ω0)gh0k0ℓ0 = (2π/d)ex, such thatthe n-th pinhole of the transmission mask M transmits only the n-th difraction order with relative amplitude fn ≡fnh0,nk0,nℓ0.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.562, 0.368, 0.928, 0.38], [0.515, 0.382, 0.928, 0.393], [0.515, 0.395, 0.928, 0.407], [0.515, 0.409, 0.928, 0.421], [0.515, 0.422, 0.928, 0.434], [0.515, 0.436, 0.641, 0.448]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "Using our assumptions, the conditional transformation (A7) of the centre-of-mass state of the crystal particle reduces to", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.531, 0.45, 0.928, 0.461], [0.515, 0.463, 0.928, 0.475], [0.515, 0.477, 0.589, 0.489]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "Pcm→ K(r⊥,∩0)PcmRt(r⊥,00),", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.596, 0.496, 0.843, 0.516]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 27, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "(A8)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.894, 0.523, 0.928, 0.534]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "n≠0", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.718, 0.538, 0.745, 0.55]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 26, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "This transformation describes the transmission through a one-dimensional grating aperture of period d [62], shifted by the measured electron position x—the particle is ef-fectively difracted by its own crystal lattice.This is enabled by momentum conservation as each Bragg momentum 2πℏ/d imparted on the electron necessarily im-plies the opposite momentum imparted on the particle, inducing EPR-type entanglement between the wavefunctions of the electron and the particle’s centre of mass [63].The above conditional grating transformation (A8) preserves the purity of the particle wavefunction, but not its norm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.515, 0.559, 0.928, 0.571], [0.515, 0.573, 0.928, 0.585], [0.515, 0.587, 0.928, 0.599], [0.515, 0.6, 0.928, 0.612], [0.515, 0.614, 0.928, 0.626], [0.515, 0.627, 0.928, 0.639], [0.515, 0.641, 0.928, 0.653], [0.515, 0.655, 0.928, 0.667], [0.515, 0.668, 0.928, 0.68], [0.515, 0.682, 0.928, 0.694], [0.515, 0.696, 0.928, 0.707], [0.515, 0.709, 0.557, 0.721]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, 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248, "edu_l1_label": "IOS"}, {"txt": "|Jn|2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.835, 0.831, 0.901, 0.85]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 18, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "n≠0", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.833, 0.852, 0.861, 0.863]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "where the approximation follows from our assumption", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.515, 0.873, 0.928, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.915, 0.088, 0.93, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 252, "edu_l1_label": "EDU_O"}, {"txt": "(ii) that the Bragg-shifted electron wavefunctions do not overlap.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.071, 0.121, 0.485, 0.133], [0.071, 0.134, 0.129, 0.146]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "The theoretical treatment of near-feld interference of a free-falling nanoparticle at a periodic grating was already detailed in Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.088, 0.148, 0.485, 0.16], [0.071, 0.162, 0.485, 0.173], [0.071, 0.175, 0.184, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "[25]; we provide a short re-derivation for the present case in App.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.184, 0.175, 0.485, 0.187], [0.071, 0.189, 0.255, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.255, 0.189, 0.279, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "One starts from a (mixed) Gaussian state of the trapped particle with a small position standard deviation σX ≪d relative to the gratingperiod and a large momentum standard deviation σP ≫2πℏ/d relative to the grating momentum, which corre-sponds to an incoherent point source of matter waves.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.279, 0.189, 0.485, 0.201], [0.071, 0.202, 0.485, 0.214], [0.071, 0.216, 0.485, 0.228], [0.071, 0.23, 0.485, 0.25], [0.071, 0.243, 0.485, 0.255], [0.071, 0.257, 0.485, 0.269]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "Upon release, the particle may evolve freely for the time t0 before the efective grating transformation and for the time t after; coherent dispersion over at least one grating period demands that t0 be of the order of the Talbot time, t0 ≳TM = Md2/2πℏ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.071, 0.27, 0.485, 0.282], [0.071, 0.284, 0.485, 0.296], [0.071, 0.298, 0.485, 0.31], [0.071, 0.311, 0.485, 0.323], [0.071, 0.325, 0.234, 0.337]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "Assumption (ii) remains valid aslong as σP t0/M ≪RM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.234, 0.325, 0.485, 0.337], [0.071, 0.339, 0.246, 0.35]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "Finally, one recaptures the par-ticle and measures its position on the X-axis, which one fnds to be distributed according to", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.246, 0.339, 0.485, 0.35], [0.071, 0.352, 0.485, 0.364], [0.071, 0.366, 0.33, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "w3(X) ≈|⟨r⊥|ψin⟩|2 Xe2πin(X/D−x/d)−2π2n2[σXt/d(t+t0)]2n j ×Xfjf j∗+neiπn(2j+n)tt0/TM(t+t0) e−[X+(j+n/2)dt/TM]2/2σ˜X2(A10) √2πσ˜X", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.071, 0.389, 0.486, 0.391], [0.226, 0.405, 0.234, 0.414], [0.166, 0.438, 0.172, 0.446], [0.14, 0.421, 0.385, 0.427], [0.153, 0.454, 0.329, 0.457], [0.442, 0.462, 0.485, 0.474], [0.219, 0.462, 0.272, 0.484]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 17, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "given the measured electron position r⊥= (x, y).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.071, 0.491, 0.441, 0.503]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "Thisdensity, normalised toRd2r⊥dX w3(X) ≈Pr det, ex-hibits fringes of a geometrically magnifed period D ≈d(t + t0)/t0 and visibility reduced by the fnite source size σX, inside a broad Gaussian envelope of width σ˜X ≈σP (t + t0)/M.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.441, 0.491, 0.485, 0.503], [0.071, 0.505, 0.485, 0.517], [0.071, 0.518, 0.485, 0.539], [0.071, 0.532, 0.485, 0.544], [0.071, 0.546, 0.485, 0.566], [0.071, 0.559, 0.175, 0.571]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "Notice that the appearance of a fringe pattern in the near feld of a grating does not always certify quantum interference as it could also be explained by a classical shadow efect.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.088, 0.573, 0.485, 0.585], [0.071, 0.586, 0.485, 0.598], [0.071, 0.6, 0.485, 0.612], [0.071, 0.614, 0.174, 0.625]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "Interpreting the initial Gaussian state as the phase-space distribution of a classical particle and treating the grating aperture in (A6) as a classical shadow mask, we obtain the fringe pattern", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.174, 0.614, 0.485, 0.625], [0.071, 0.627, 0.485, 0.639], [0.071, 0.641, 0.485, 0.653], [0.071, 0.654, 0.326, 0.666]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "w3cl (X) ≈|⟨r⊥|ψin⟩|2 Xe2πin(X/D−x/d)−2π2n2[σXt/d(t+t0)]2n ×Xfjf j∗+ne−X2/2σ˜X2√2πσ˜X(A11)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.071, 0.678, 0.245, 0.711], [0.248, 0.678, 0.49, 0.68], [0.229, 0.694, 0.237, 0.702], [0.144, 0.717, 0.236, 0.731], [0.239, 0.709, 0.303, 0.712], [0.246, 0.716, 0.299, 0.739], [0.442, 0.717, 0.485, 0.729]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "The appearance of fringes according to the quantum prediction (A10) does not signify matter-wave coherence whenever they match the classical prediction (A11).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.071, 0.751, 0.485, 0.763], [0.071, 0.764, 0.485, 0.776], [0.071, 0.778, 0.445, 0.79]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "This is for instance the case when t ≪TM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.445, 0.778, 0.485, 0.79], [0.071, 0.792, 0.355, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "In the regime ofa very broad Gaussian envelope, σ˜X ≫dt/TM, it turnsout that the quantum and classical patterns always agree whenever the grating aperture in (A6) comprises only one pair of opposite Bragg orders, say, n = ±1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.355, 0.792, 0.485, 0.803], [0.071, 0.805, 0.485, 0.817], [0.071, 0.819, 0.485, 0.831], [0.071, 0.832, 0.485, 0.844], [0.071, 0.846, 0.394, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "For a clearquantum signature, one must therefore select at least two Bragg orders of diferent magnitude; see App.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.394, 0.846, 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[0.599, 0.134, 0.843, 0.145]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 13, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "Our setting is a nanoparticle initially in a Gaussian state, which is then released and difracted at an efective grating, generated by electron difraction at the nanoparticle with subsequent fltering through an array of pinholes in the Fourier plane and position-resolved detection in the image plane.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.531, 0.164, 0.928, 0.176], [0.515, 0.177, 0.928, 0.189], [0.515, 0.191, 0.928, 0.203], [0.515, 0.204, 0.928, 0.216], [0.515, 0.218, 0.928, 0.23], [0.515, 0.232, 0.653, 0.244]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "Conditioned on the detected electron position (x, y), the efective grating transformation of the center-of-mass 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"EDU_O"}, {"txt": "[25] and replace the periodic phase grating transformation there by the above transformation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.896, 0.374, 0.928, 0.386], [0.515, 0.388, 0.928, 0.399], [0.515, 0.401, 0.77, 0.413]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 284, "edu_l1_label": "EDU_O"}, {"txt": "In the phase-space formalism, we represent the onedimensional center-of-mass state in terms of the Wigner function,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.531, 0.415, 0.928, 0.427], [0.515, 0.428, 0.928, 0.44], [0.515, 0.442, 0.579, 0.454]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": "w(X, P) = 2πℏdseiP s/ℏX ρcmX + 2 .", "language": "english", "position": 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j,k", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.326, 0.134, 0.485, 0.146], [0.071, 0.148, 0.485, 0.16], [0.124, 0.17, 0.141, 0.178]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "One of the key questions for us is whether the observed fringe pattern is non-classical.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.088, 0.182, 0.485, 0.194], [0.071, 0.196, 0.286, 0.208]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "A direct and setup-specifc way is to compare the interferogram predicted by (B1) to the shadow fringe pattern obtained by treating the efective grating as a classical aperture in phase space.", "language": "english", "position": {"pdf_position": 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{"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.652, 0.213, 0.701, 0.236]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 43, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "X", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.824, 0.195, 0.84, 0.203]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 47, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "Qto", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.86, 0.188, 0.886, 0.2]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 49, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "M", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.865, 0.202, 0.886, 0.213]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 44, "global_sentence_id": 329, "edu_l1_label": "IOS"}, {"txt": "C", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.897, 0.197, 0.908, 0.204]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 45, "global_sentence_id": 330, "edu_l1_label": "IOS"}, {"txt": "2πaxop", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.645, 0.239, 0.71, 0.255]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 41, "global_sentence_id": 331, "edu_l1_label": "IOS"}, {"txt": "where TM = Md2/2πℏdenotes the Talbot time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.515, 0.293, 0.866, 0.305]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 332, "edu_l1_label": "EDU_O"}, {"txt": "For the fnal fringe pattern, we propagate the Wigner function w2 freely for another time t and then obtain the position distribution by integrating over the momentum coordinate.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.531, 0.307, 0.928, 0.319], [0.515, 0.32, 0.928, 0.332], [0.515, 0.334, 0.928, 0.346], [0.515, 0.348, 0.596, 0.359]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 333, "edu_l1_label": "IOS"}, {"txt": "We arrive at", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.596, 0.348, 0.695, 0.359]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 334, "edu_l1_label": "EDU_O"}, {"txt": "w3(X) =", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.54, 0.377, 0.602, 0.391]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 37, "global_sentence_id": 335, "edu_l1_label": "IOS"}, {"txt": "一", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.594, 0.41, 0.604, 0.416]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 35, "global_sentence_id": 336, "edu_l1_label": "IOS"}, {"txt": "B(x.y)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.633, 0.399, 0.683, 0.416]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 36, "global_sentence_id": 337, "edu_l1_label": "IOS"}, {"txt": "j,j+n", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.645, 0.41, 0.687, 0.422]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 34, "global_sentence_id": 338, "edu_l1_label": "IOS"}, {"txt": "(B8)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.895, 0.406, 0.928, 0.418]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 339, "edu_l1_label": "IOS"}, {"txt": "j,n", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.61, 0.422, 0.632, 0.434]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 33, "global_sentence_id": 340, "edu_l1_label": "IOS"}, {"txt": "Here, we introduce the abbreviation An,k(X) for the Fourier integral of the Gaussian initial Wigner function over P. The classical fringe pattern resulting from the kernel (B6) is obtained by replacing An,k(X) →An,0(X).Explicitly, we have", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.51, 0.442, 0.932, 0.513]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 7, "global_sentence_id": 341, "edu_l1_label": "IOS"}, {"txt": "\\begin{aligned} { A _ { n , k } ( X ) } & { { } = \\int \\frac { \\mathrm { d } P } { 2 \\pi \\sigma _ { X } \\sigma _ { P } } e ^ { - i n k t P / \\hbar T _ { M } - ( P + k h / a ) ^ { 2 } / 2 \\sigma _ { P } ^ { 2 } } \\, e ^ { - [ X - P ( t + t _ { 0 } ) / M - k d t _ { 0 } / T _ { M } ] ^ { 2 } / 2 \\sigma _ { X } ^ { 2 } } } \\\\ { } & { { } = e ^ { 2 \\pi i n k t / T _ { M } } \\int \\frac { \\mathrm { d } P } { 2 \\pi \\sigma _ { X } \\sigma _ { P } } e ^ { - i n d t P / M T _ { M } - P ^ { 2 } / 2 \\sigma _ { P } ^ { 2 } } \\, e ^ { - \\left| X - P ( t + t _ { 0 } ) / M + k d t / T _ { M } \\right| ^ { 2 } / 2 \\sigma _ { X } ^ { 2 } } } \\\\ \\end{aligned}", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.185, 0.545, 0.801, 0.612]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 52, "global_sentence_id": 342, "edu_l1_label": "IOS"}, {"txt": "(B9)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.895, 0.594, 0.928, 0.606]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 343, "edu_l1_label": "EDU_O"}, {"txt": "To simplify the Gaussian terms in the exponent, which we need to integrate over P, we defne the auxiliary rescaled position and momentum widths,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.071, 0.622, 0.928, 0.634], [0.071, 0.636, 0.309, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 344, "edu_l1_label": "IOS"}, {"txt": "\\tilde { \\sigma } _ { P } ^ { 2 } = \\frac { 1 } { \\frac { 1 } { \\sigma _ { P } ^ { 2 } } + \\frac { ( t + t _ { 0 } ) ^ { 2 } } { M ^ { 2 } \\sigma _ { X } ^ { 2 } } } = \\frac { \\sigma _ { P } ^ { 2 } } { 1 + \\left[ \\frac { \\sigma _ { P } ( t + t _ { 0 } ) } { M \\sigma _ { X } } \\right] ^ { 2 } } ,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.331, 0.651, 0.627, 0.694]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 51, "global_sentence_id": 345, "edu_l1_label": "IOS"}, {"txt": "(B10)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.886, 0.666, 0.928, 0.677]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 346, "edu_l1_label": "EDU_O"}, {"txt": "\\tilde { \\sigma } _ { X } ^ { 2 } = \\frac { \\sigma _ { X } ^ { 2 } } { 1 - \\frac { \\tilde { \\sigma } _ { P } ^ { 2 } ( t + t _ { 0 } ) ^ { 2 } } { M ^ { 2 } \\sigma _ { X } ^ { 2 } } } = \\sigma _ { X } ^ { 2 } + \\left[ \\frac { \\sigma _ { P } ( t + t _ { 0 } ) } { M } \\right] ^ { 2 } ,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.342, 0.698, 0.666, 0.74]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 50, "global_sentence_id": 347, "edu_l1_label": "IOS"}, {"txt": "(B11)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.886, 0.712, 0.928, 0.724]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 348, "edu_l1_label": "EDU_O"}, {"txt": "which preserve σ˜X σ˜P = σXσP , as one can easily check.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.071, 0.75, 0.48, 0.762]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 349, "edu_l1_label": "IOS"}, {"txt": "Abbreviating temporarily Xk = X + kdt/TM, the Gaussianterms in the exponent can then be expanded as", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.48, 0.75, 0.928, 0.762], [0.071, 0.764, 0.42, 0.776]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 350, "edu_l1_label": "IOS"}, {"txt": "20%", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.193, 0.797, 0.226, 0.818]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 27, "global_sentence_id": 351, "edu_l1_label": "EDU_O"}, {"txt": "[Xk = P(t + to)/M]²", "language": "english", 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"edu_l1_label": "EDU_O"}, {"txt": "Here, we introduced the n-th order fringe reduction factor Rn and what will become the magnifed fringe period D,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.071, 0.224, 0.919, 0.236]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 379, "edu_l1_label": "IOS"}, {"txt": "(B14)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.886, 0.25, 0.93, 0.266]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 29, "global_sentence_id": 380, "edu_l1_label": "EDU_O"}, {"txt": "D = \\frac { d } { 1 - \\frac { \\tilde { \\sigma } _ { P } ^ { 2 } t ( t + t _ { 0 } ) } { M ^ { 2 } \\sigma _ { X } ^ { 2 } } } = d \\frac { ( t + t _ { 0 } ) ^ { 2 } + ( M \\sigma _ { X } / \\sigma _ { P } ) ^ { 2 } } { t _ { 0 } ( t + t _ { 0 } ) + ( M \\sigma _ { X } / \\sigma _ { P } ) ^ { 2 } } .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.313, 0.265, 0.678, 0.306]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 38, "global_sentence_id": 381, "edu_l1_label": "IOS"}, {"txt": "Now we can put everything together and obtain the quantum interferogram and the classical fringe pattern,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.071, 0.318, 0.863, 0.33]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 382, "edu_l1_label": "IOS"}, {"txt": "(B15)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.886, 0.277, 0.93, 0.292]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 28, "global_sentence_id": 383, "edu_l1_label": "IOS"}, {"txt": 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"global_sentence_id": 390, "edu_l1_label": "IOS"}, {"txt": "(B16)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.886, 0.351, 0.929, 0.368]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 27, "global_sentence_id": 391, "edu_l1_label": "IOS"}, {"txt": "(B17)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.886, 0.394, 0.928, 0.406]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 392, "edu_l1_label": "IOS"}, {"txt": "72", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.334, 0.411, 0.351, 0.42]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 22, "global_sentence_id": 393, "edu_l1_label": "EDU_O"}, {"txt": "These are the expressions we use to evaluate the fringe patterns in the main text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.071, 0.43, 0.667, 0.442]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 394, "edu_l1_label": "IOS"}, {"txt": "For an appreciable fringe visibility, we need to have sizeable Rn=0, implying [σXt/d(t + t0)] ≪1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.667, 0.43, 0.928, 0.442], [0.071, 0.444, 0.539, 0.456]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 395, "edu_l1_label": "IOS"}, {"txt": "At the same time, we also aim for a strong fringemagnifcation, implying that t ≫t0 so that D ≈dt/t0 ≫d.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.539, 0.444, 0.928, 0.456], [0.071, 0.458, 0.52, 0.469]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 396, "edu_l1_label": "IOS"}, {"txt": "The consequence is that we need to have σX ≪d forvisible fringes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.52, 0.458, 0.928, 0.469], [0.071, 0.471, 0.176, 0.483]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 397, "edu_l1_label": "IOS"}, {"txt": "A tradeof must be chosen carefully here.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.176, 0.471, 0.484, 0.483]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 398, "edu_l1_label": "IOS"}, {"txt": "In order to highlight the regime in which the quantum and the classical fringe patterns coincide approximately, we consider the scenario in which the nanoparticle is initially well localized, σX ≲d, but has a broad momentumdistribution compared to the difraction scale, σP ≫2πℏ/d.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12400000, "bbox": [[0.088, 0.485, 0.928, 0.497], [0.071, 0.498, 0.928, 0.51], [0.071, 0.512, 0.501, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 399, "edu_l1_label": "IOS"}, {"txt": "This implies that σP (t+t0)/MσX ≫(d/σX)(t+t0)/TM ≳1 for the relevant t, t0, and we may then approximate", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12400000, "bbox": [[0.501, 0.512, 0.928, 0.526], [0.071, 0.526, 0.463, 0.537]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 400, "edu_l1_label": "IOS"}, {"txt": "σ˜X ≈σP (tM + t0),σ˜P ≈Mt +σ tX0⇒D ≈dt +t0 t0,Rn ≈e−2π2n2σX2t2/d2(t+t0)2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12500000, "bbox": [[0.18, 0.558, 0.307, 0.57], [0.327, 0.558, 0.411, 0.579], [0.452, 0.557, 0.469, 0.578], [0.507, 0.558, 0.601, 0.57], [0.621, 0.558, 0.819, 0.57]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 401, "edu_l1_label": "IOS"}, {"txt": "(B18)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12500000, "bbox": [[0.886, 0.558, 0.928, 0.57]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 402, "edu_l1_label": "EDU_O"}, {"txt": "These approximations are already applied in the above expressions (A10) and (A11).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.071, 0.59, 0.692, 0.601]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 403, "edu_l1_label": "IOS"}, {"txt": "If we can also neglect the small position displacements (of order d) in the broad Gaussian envelope of (B16), we obtain the quantum expression", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.692, 0.59, 0.928, 0.601], [0.071, 0.603, 0.891, 0.615]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 404, "edu_l1_label": "IOS"}, {"txt": "w _ { 3 } ( X ) \\approx { \\frac { e ^ { - [ M X / \\sigma _ { P } ( t + t _ { 0 } ) ] ^ { 2 } / 2 } } { \\sqrt { 2 \\pi } \\sigma _ { P } ( t + t _ { 0 } ) / M } } \\sum _ { n } e ^ { 2 \\pi i n X / D + i n \\phi _ { z } } R _ { n } B _ { n } \\left[ n { \\frac { t t _ { 0 } } { T _ { M } ( t + t _ { 0 } ) } } \\right] .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.245, 0.623, 0.755, 0.662]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 39, "global_sentence_id": 405, "edu_l1_label": "IOS"}, {"txt": "(B19)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.886, 0.639, 0.928, 0.651]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 406, "edu_l1_label": "EDU_O"}, {"txt": "For the corresponding classical version, simply set the argument of Bn[.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.071, 0.675, 0.598, 0.687]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 407, "edu_l1_label": "IOS"}, {"txt": ".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.598, 0.675, 0.606, 0.687]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 408, "edu_l1_label": "IOS"}, {"txt": ".]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.606, 0.675, 0.618, 0.687]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 409, "edu_l1_label": "IOS"}, {"txt": "→Bn(0).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.618, 0.675, 0.692, 0.687]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 410, "edu_l1_label": "IOS"}, {"txt": "Comparing the fnal expression(B19) to its classical counterpart tells us that we need to have Bn=0(ξ) = const for non-classical behaviour in thisapproximated scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.692, 0.675, 0.928, 0.687], [0.071, 0.689, 0.928, 0.701], [0.071, 0.703, 0.24, 0.715]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 411, "edu_l1_label": "IOS"}, {"txt": "This implies that we need to condition on more than a single pair of ±N-th difraction ordersfor non-classical fringe terms to occur.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.24, 0.703, 0.928, 0.715], [0.071, 0.716, 0.355, 0.728]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 412, "edu_l1_label": "IOS"}, {"txt": "We prove this statement by assuming that we condition on only the ±N-th difraction order, i.e., the only non-zerograting coefcients are B−(xN,y,)−", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.088, 0.73, 0.928, 0.742], [0.071, 0.746, 0.29, 0.766]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 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"edu_l1_label": "IOS"}, {"txt": "Quantum behaviour arises if we allow for mixed terms between at least two diferent difraction orders, e.g., we condition on ±1 and ±2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.088, 0.846, 0.928, 0.858], [0.071, 0.86, 0.255, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 424, "edu_l1_label": "IOS"}, {"txt": "This implies that genuine quantum interference is more prominent the greater odd-integerTalbot coefcients such as B±1, B±3 are in magnitude.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.255, 0.86, 0.928, 0.871], [0.071, 0.873, 0.472, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 425, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.331, 0.118, 0.668, 0.133]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 426, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.909, 0.088, 0.927, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 427, "edu_l1_label": "EDU_O"}, {"txt": "The empirical macroscopicity of a mechanical quantum experiment is based on the extent to which the observation of nonclassical phenomena rules out a class of macrorealistic modifcations of quantum theory [60].In centre-ofmass interference experiments, this class of modifcations causes a loss of quantum coherence similar to conventional decoherence processes, which must be included in the free time evolution of the particle before and after the efective grating interaction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13500000, "bbox": [[0.088, 0.151, 0.928, 0.163], [0.071, 0.165, 0.928, 0.177], [0.071, 0.178, 0.928, 0.19], [0.071, 0.192, 0.928, 0.204], [0.071, 0.206, 0.212, 0.218]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 428, "edu_l1_label": "IOS"}, {"txt": "Explicitly, the modifcation contributes a Lindblad dissipator to the free evolution of the reduced centre-of-mass state, ∂tρcm = −i[ Pˆ 2/2Mℏ, ρcm] + Lρcm, the position representation of which reads as", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.088, 0.219, 0.928, 0.231], [0.071, 0.233, 0.703, 0.245]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 429, "edu_l1_label": "IOS"}, {"txt": "(X|Cpcm|X′) = -[T(0) = T(X = X′)](X|ecm|X′),", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.098, 0.265, 0.461, 0.279]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 22, "global_sentence_id": 430, "edu_l1_label": "IOS"}, {"txt": "7", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.601, 0.261, 0.616, 0.269]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 23, "global_sentence_id": 431, "edu_l1_label": "EDU_O"}, {"txt": "d3q", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.631, 0.255, 0.67, 0.271]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 24, "global_sentence_id": 432, "edu_l1_label": "IOS"}, {"txt": "(C1)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.894, 0.266, 0.928, 0.277]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 433, "edu_l1_label": "IOS"}, {"txt": "mánJ J", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.554, 0.273, 0.624, 0.289]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 21, "global_sentence_id": 434, "edu_l1_label": "IOS"}, {"txt": "Here, τ0 is a time parameter, σq a momentum width parameter (here in units of wavenumbers), and m0 is a referencemass taken to be that of the electron in previous comparative studies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.071, 0.299, 0.928, 0.311], [0.071, 0.313, 0.59, 0.325]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 435, "edu_l1_label": "IOS"}, {"txt": "Accordingly, we also restrict to super-atomic momentum widths, 1/σq ≳1 nm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.59, 0.313, 0.928, 0.325], [0.071, 0.327, 0.318, 0.338]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 436, "edu_l1_label": "IOS"}, {"txt": "The integrand contains the Fourier transform of the particle’s mass density.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.318, 0.327, 0.893, 0.338]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 437, "edu_l1_label": "IOS"}, {"txt": "As-suming a homogeneous mass density for our disc-shaped spheroidal particle of volume V = 4πRM2bM/3, the Fouriertransform can be shown to take the simple form", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.893, 0.327, 0.928, 0.338], [0.071, 0.34, 0.928, 0.352], [0.071, 0.354, 0.424, 0.366]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 438, "edu_l1_label": "IOS"}, {"txt": "\\tilde { \\varrho } _ { M } ( \\mathrm { \\bold ~ q ~ } ) = \\frac { M } { V } \\int _ { V } \\mathrm { d } ^ { 3 } r \\, e ^ { - i \\mathrm { \\bold ~ q ~ \\cdot r ~ } } = 3 M \\frac { j _ { 1 } \\left[ \\sqrt { ( q _ { \\bot } R _ { M } ) ^ { 2 } + ( q _ { z } b _ { M } ) ^ { 2 } } \\right] } { \\sqrt { ( q _ { \\bot } R _ { M } ) ^ { 2 } + ( q _ { z } b _ { M } ) ^ { 2 } } } ,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.273, 0.373, 0.725, 0.417]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 28, "global_sentence_id": 439, "edu_l1_label": "IOS"}, {"txt": "(C2)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.894, 0.394, 0.928, 0.406]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 440, "edu_l1_label": "EDU_O"}, {"txt": "where j1 is a spherical Bessel function and q⊥=qqx2 + qy2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.071, 0.433, 0.512, 0.445]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 441, "edu_l1_label": "IOS"}, {"txt": "Noting that the function vanishes for q⊥≫1/RM andthat the relevant spatial coherences are confned to the atomic scale in our case, |X −X′| ≲d, we can Taylor-expandthe Fourier exponential in (C1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.512, 0.433, 0.928, 0.445], [0.071, 0.451, 0.928, 0.463], [0.071, 0.465, 0.305, 0.477]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 442, "edu_l1_label": "IOS"}, {"txt": "To lowest non-vanishing order, we obtain", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.305, 0.465, 0.614, 0.477]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 443, "edu_l1_label": "IOS"}, {"txt": "\\begin{aligned} { \\Gamma ( 0 ) - \\Gamma ( X - X ^ { \\prime } ) } & { { } \\approx \\frac { 0 \\varepsilon M ^ { 2 } ( X - X ^ { \\prime } ) ^ { 2 } } { 2 \\alpha _ { 0 } ^ { 2 } \\tau } \\int _ { - \\infty } ^ { \\infty } d \\xi _ { 3 } \\int _ { 0 } ^ { \\infty } d \\eta _ { 1 } \\eta _ { - } ^ { 2 } \\frac { e ^ { 4 \\phi _ { 1 } ^ { 2 } + i \\xi _ { 1 } ^ { 2 } + i \\xi _ { 1 } ^ { 2 } } } { ( 2 \\pi \\sigma _ { 0 } ^ { 2 / 2 } ) } \\frac { \\left[ \\sqrt { | q _ { 1 } R _ { 1 } | ^ { 2 } - | q _ { 2 } | q _ { 1 } | ^ { 2 } } \\right] } { \\sqrt { | q _ { 1 } ^ { 2 } R _ { 1 } | ^ { 2 } + | q _ { 2 } | q _ { 1 } | ^ { 2 } } } } & { { } \\quad \\quad \\quad \\quad \\quad \\quad \\quad \\quad \\quad \\quad \\quad \\, \\quad \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\, \\mathrm { ( 3 ) } } \\\\ { } & { { } = \\frac { 0 \\lambda ^ { 2 } \\sigma _ { 1 } ^ { 2 } ( X - X ^ { \\prime } ) ^ { 2 } } { 2 \\sqrt { | q _ { 1 } ^ { 2 } + | q _ { 2 } | q _ { 1 } | ^ { 2 } } } T ( \\sigma _ { 1 } R _ { 1 1 } , \\sigma _ { 1 } d _ { 2 } ) , \\quad \\, \\, \\, \\, \\, \\, \\mathfrak { I } ( \\eta _ { 1 } , \\beta ) = \\int _ { - } ^ { \\infty } d \\xi _ { 1 } ^ { 2 } \\eta _ { 1 } ^ { 2 } e ^ { - | q _ { 1 } ^ {", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.061, 0.486, 0.938, 0.571]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 27, "global_sentence_id": 444, "edu_l1_label": "IOS"}, {"txt": "The remaining double integral I can be evaluated numerically for each argument (α, β).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.071, 0.584, 0.717, 0.596]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 445, "edu_l1_label": "IOS"}, {"txt": "The contribution of the dissipator (C1) to the free evolution is most conveniently expressed in the characteristic function representation of the Wigner function.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.088, 0.598, 0.928, 0.61], [0.071, 0.612, 0.423, 0.623]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 446, "edu_l1_label": "IOS"}, {"txt": "This was done in Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.423, 0.612, 0.596, 0.623]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 447, "edu_l1_label": "IOS"}, {"txt": "[25] in the limit of an arbitrarily incoherent initial particle state, σP →∞, which remains valid here as long as the net broadening of the Gaussian envelope dueto (C1) is negligible.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.596, 0.612, 0.928, 0.623], [0.071, 0.625, 0.928, 0.637], [0.071, 0.639, 0.224, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 448, "edu_l1_label": "IOS"}, {"txt": "This is indeed the case here, since we assume σP ≫2πℏ/d > ℏσq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.224, 0.639, 0.727, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 449, "edu_l1_label": "IOS"}, {"txt": "As a result, the reductionfactors Rn in the quantum fringe pattern (B16) are simply multiplied by another exponential decay term,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.727, 0.639, 0.928, 0.651], [0.071, 0.652, 0.847, 0.664]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 450, "edu_l1_label": "IOS"}, {"txt": "一", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.176, 0.681, 0.185, 0.689]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 18, "global_sentence_id": 451, "edu_l1_label": "EDU_O"}, {"txt": "0", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.239, 0.692, 0.259, 0.71]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 25, "global_sentence_id": 452, "edu_l1_label": "IOS"}, {"txt": "ndtto0", "language": "english", "position": 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"edu_l1_label": "IOS"}, {"txt": "2√2πm3π [Tu(t + to)]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.597, 0.694, 0.785, 0.713]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 460, "edu_l1_label": "IOS"}, {"txt": "Z(aqRm,00", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.796, 0.689, 0.879, 0.701]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 461, "edu_l1_label": "IOS"}, {"txt": "The macroscopicity µ of a quantum experiment is then given by the greatest value of the time parameter τ0, maximizedwith respect to σq, that is ruled out by an observation of quantum interference fringes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.071, 0.727, 0.928, 0.738], [0.071, 0.74, 0.71, 0.752]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 462, "edu_l1_label": "IOS"}, {"txt": "For our proposed case study,we assume that one could observe more than 50% of the predicted quantum fringe contrast of order n = 2 at t = 1 ms and t0 = TM, as depicted in the bottom end of Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.71, 0.74, 0.928, 0.752], [0.071, 0.754, 0.928, 0.766], [0.071, 0.767, 0.449, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 463, "edu_l1_label": "IOS"}, {"txt": "2(a).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.449, 0.767, 0.489, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 464, "edu_l1_label": "IOS"}, {"txt": "Given σq, this rules out", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.489, 0.767, 0.668, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 465, "edu_l1_label": "IOS"}, {"txt": "\\tau _ { 0 } \\leq \\tau _ { \\mathrm { m a x } } ( \\sigma _ { q } ) = \\frac { 6 ( M / m _ { 0 } ) ^ { 2 } } { \\sqrt { 2 \\pi } \\ln 2 } \\frac { t ^ { 2 } } { t + T _ { M } } ( \\sigma _ { q } d ) ^ { 2 } \\mathcal { I } ( \\sigma _ { q } R _ { M } , \\sigma _ { q } b _ { M } ) .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.282, 0.786, 0.716, 0.822]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 26, "global_sentence_id": 466, "edu_l1_label": "IOS"}, {"txt": "(C5)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.894, 0.8, 0.928, 0.812]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 467, "edu_l1_label": "EDU_O"}, {"txt": "We numerically maximize to arrive at µ = log10 maxσq τmax(σq) ≈16.3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.071, 0.832, 0.614, 0.844]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 468, "edu_l1_label": "IOS"}, {"txt": "Bayesian statistical analysis of the mea-surement data from a previous molecule interference experiment resulted in the current record value of 14.0 [10, 59].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.614, 0.832, 0.928, 0.844], [0.071, 0.846, 0.928, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 469, "edu_l1_label": "IOS"}, {"txt": "Since µ is a logarithmic quantity, the diference amounts to more than two orders of magnitude in the ruled out timeparameter.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.071, 0.86, 0.928, 0.871], [0.071, 0.873, 0.15, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 470, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.911, 0.09, 0.929, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 471, "edu_l1_label": "EDU_O"}, {"txt": "[1] C. M. DeWitt and D. Rickles, The Role of Gravitation in Physics:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.157, 0.485, 0.168], [0.102, 0.17, 0.176, 0.18]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 472, "edu_l1_label": "EDU_O"}, {"txt": " Report from the 1957 Chapel Hill Conference (epubli, 2011).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.176, 0.17, 0.485, 0.18], [0.102, 0.182, 0.2, 0.193]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 473, "edu_l1_label": "EDU_O"}, {"txt": "[2] C. Anastopoulos and B. L. Hu, Probing a gravitational cat state, Class.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.195, 0.485, 0.205], [0.102, 0.207, 0.21, 0.218]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 474, "edu_l1_label": "EDU_O"}, {"txt": "Quant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.21, 0.207, 0.262, 0.218]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 475, "edu_l1_label": "EDU_O"}, {"txt": "Grav.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.262, 0.207, 0.305, 0.218]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 476, "edu_l1_label": "EDU_O"}, {"txt": "32, 165022 (2015).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.305, 0.207, 0.436, 0.218]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 477, "edu_l1_label": "EDU_O"}, {"txt": "[3] S. Bose, A. Mazumdar, G. W. Morley, H. Ulbricht, M. Toroˇs, M. Paternostro, A.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.219, 0.339, 0.23], [0.339, 0.219, 0.485, 0.23], [0.102, 0.232, 0.308, 0.243]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 478, "edu_l1_label": "EDU_O"}, {"txt": "A. Geraci, P. F. Barker,M.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.308, 0.232, 0.485, 0.243], [0.102, 0.244, 0.121, 0.255]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 479, "edu_l1_label": "EDU_O"}, {"txt": "Kim, and G. Milburn, Spin entanglement witness for quantum gravity, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.121, 0.244, 0.485, 0.255], [0.102, 0.257, 0.26, 0.267]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 480, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.26, 0.257, 0.296, 0.267]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 481, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.296, 0.257, 0.334, 0.267]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 482, "edu_l1_label": "EDU_O"}, {"txt": "119, 240401 (2017).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.334, 0.257, 0.474, 0.267]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 483, "edu_l1_label": "EDU_O"}, {"txt": "[4] C. Marletto and V. Vedral, Gravitationally induced entanglement between two massive particles is sufcient evidence of quantum efects in gravity, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.269, 0.485, 0.28], [0.102, 0.282, 0.485, 0.292], [0.102, 0.294, 0.378, 0.305]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 484, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.378, 0.294, 0.413, 0.305]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 485, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.413, 0.294, 0.45, 0.305]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 486, "edu_l1_label": "EDU_O"}, {"txt": "119, 240402 (2017).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.45, 0.294, 0.485, 0.305], [0.102, 0.306, 0.201, 0.317]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 487, "edu_l1_label": "EDU_O"}, {"txt": "[5] A. Belenchia, R. M. Wald, F. Giacomini, E. Castro-Ruiz, Cˇ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.319, 0.485, 0.33], [0.102, 0.331, 0.118, 0.342]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 488, "edu_l1_label": "EDU_O"}, {"txt": "Brukner, and M. Aspelmeyer, Quantum superposi-tion of massive objects and the quantization of gravity, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.118, 0.331, 0.485, 0.342], [0.102, 0.344, 0.485, 0.354], [0.102, 0.356, 0.139, 0.367]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 489, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.139, 0.356, 0.175, 0.367]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 490, "edu_l1_label": "EDU_O"}, {"txt": "D 98, 126009 (2018).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.175, 0.356, 0.324, 0.367]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 491, "edu_l1_label": "EDU_O"}, {"txt": "[6] M. Carlesso, A. Bassi, M. Paternostro, and H. Ulbricht, Testing the gravitational feld generated by a quantum superposition, New J. Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.369, 0.485, 0.379], [0.102, 0.381, 0.485, 0.392], [0.102, 0.393, 0.292, 0.404]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 492, "edu_l1_label": "EDU_O"}, {"txt": "21, 093052 (2019).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.292, 0.393, 0.423, 0.404]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 493, "edu_l1_label": "EDU_O"}, {"txt": "[7] C. Anastopoulos and B. L. Hu, Quantum superposition of two gravitational cat states, Class.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.406, 0.485, 0.416], [0.102, 0.418, 0.359, 0.429]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 494, "edu_l1_label": "EDU_O"}, {"txt": "Quant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.359, 0.418, 0.412, 0.429]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 495, "edu_l1_label": "EDU_O"}, {"txt": "Grav.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.412, 0.418, 0.456, 0.429]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 496, "edu_l1_label": "EDU_O"}, {"txt": "37, 235012 (2020).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.456, 0.418, 0.485, 0.429], [0.102, 0.431, 0.201, 0.441]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 497, "edu_l1_label": "EDU_O"}, {"txt": "[8] S. Bose, I. Fuentes, A.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.079, 0.443, 0.247, 0.454]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 498, "edu_l1_label": "EDU_O"}, {"txt": "A. Geraci, S. M. Khan, S. Qvarfort, M. Rademacher, M. Rashid, M. Toroˇs, H. Ulbricht, andC.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.247, 0.443, 0.485, 0.454], [0.102, 0.456, 0.485, 0.466], [0.102, 0.468, 0.118, 0.479]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 499, "edu_l1_label": "EDU_O"}, {"txt": "C. Wanjura, Massive quantum systems as interfaces of quantum mechanics and gravity (2024), arXiv:2311.09218 [quant-ph] [9] M. Arndt and K. Hornberger, Testing the limits of quantum mechanical superpositions, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.118, 0.468, 0.485, 0.479], [0.102, 0.48, 0.485, 0.491], [0.102, 0.493, 0.172, 0.503], [0.079, 0.505, 0.171, 0.516], [0.171, 0.505, 0.333, 0.516], [0.333, 0.505, 0.485, 0.516], [0.102, 0.518, 0.385, 0.528]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 500, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.385, 0.518, 0.428, 0.528]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 501, "edu_l1_label": "EDU_O"}, {"txt": "10, 271 (2014) [10] Y. Y. Fein, P. Geyer, P. Zwick, F. Kia lka, S. Pedalino, M. Mayor, S. Gerlich, and M. Arndt, Quantum superposition of molecules beyond 25 kDa, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.428, 0.518, 0.485, 0.528], [0.102, 0.53, 0.145, 0.541], [0.071, 0.543, 0.485, 0.553], [0.102, 0.555, 0.485, 0.566], [0.102, 0.567, 0.377, 0.578]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 502, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.377, 0.567, 0.42, 0.578]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 503, "edu_l1_label": "EDU_O"}, {"txt": "15, 1242 (2019).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.42, 0.567, 0.485, 0.578], [0.102, 0.58, 0.149, 0.59]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 504, "edu_l1_label": "EDU_O"}, {"txt": "[11] P. Haslinger, N. D¨orre, P. Geyer, J. Rodewald, S. Nimm-richter, and M. Arndt, A universal matter-wave interferometer with optical ionization gratings in the time domain, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.592, 0.485, 0.603], [0.102, 0.605, 0.485, 0.615], [0.102, 0.617, 0.485, 0.628], [0.102, 0.629, 0.175, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 505, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.175, 0.629, 0.217, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 506, "edu_l1_label": "EDU_O"}, {"txt": "9, 144 (2013).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.217, 0.629, 0.316, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 507, "edu_l1_label": "EDU_O"}, {"txt": "[12] S.Nimmrichter, K.Hornberger, P. Haslinger,and M. Arndt, Testing spontaneous localization theories with matter-wave interferometry , Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.642, 0.217, 0.653], [0.231, 0.642, 0.34, 0.653], [0.354, 0.642, 0.368, 0.653], [0.38, 0.642, 0.485, 0.653], [0.102, 0.654, 0.485, 0.665], [0.102, 0.667, 0.291, 0.677], [0.29, 0.667, 0.34, 0.677]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 508, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.348, 0.667, 0.379, 0.677]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 509, "edu_l1_label": "EDU_O"}, {"txt": "A 83, 043621 (2011).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.379, 0.667, 0.485, 0.677], [0.102, 0.679, 0.149, 0.69]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 510, "edu_l1_label": "EDU_O"}, {"txt": "[13] A. Bassi, K. Lochan, S. Satin, T. P. Singh, and H. Ulbricht, Models of wave-function collapse, underlying theories, and experimental tests, Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.692, 0.485, 0.702], [0.102, 0.704, 0.485, 0.715], [0.102, 0.716, 0.341, 0.727]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 511, "edu_l1_label": "EDU_O"}, {"txt": "Mod.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.341, 0.716, 0.383, 0.727]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 512, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.383, 0.716, 0.427, 0.727]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 513, "edu_l1_label": "EDU_O"}, {"txt": "85, 471 (2013).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.427, 0.716, 0.485, 0.727], [0.102, 0.729, 0.149, 0.74]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 514, "edu_l1_label": "EDU_O"}, {"txt": "[14] A. Bassi, M. Dorato, and H. Ulbricht, Collapse models: A theoretical, experimental and philosophical review, Entropy 25, 645 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.741, 0.485, 0.752], [0.102, 0.754, 0.485, 0.764], [0.102, 0.766, 0.247, 0.777]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 515, "edu_l1_label": "EDU_O"}, {"txt": "[15] U. Deli´c, M. Reisenbauer, K. Dare, D. Grass, V. Vuleti´c,N.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.779, 0.485, 0.789], [0.102, 0.791, 0.118, 0.802]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 516, "edu_l1_label": "EDU_O"}, {"txt": "Kiesel, and M. Aspelmeyer, Cooling of a levitated nanoparticle to the motional quantum ground state, Science 367, 892 (2020).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.118, 0.791, 0.485, 0.802], [0.102, 0.803, 0.485, 0.814], [0.102, 0.816, 0.248, 0.827]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 517, "edu_l1_label": "EDU_O"}, {"txt": "[16] M. Perdriat, C. Pellet-Mary, P. Huillery, L. Rondin, and G. H´etet, Spin-mechanics with nitrogen-vacancy centersand trapped particles, Micromachines 12, 651 (2021).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.828, 0.485, 0.839], [0.102, 0.841, 0.485, 0.851], [0.102, 0.853, 0.465, 0.864]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 518, "edu_l1_label": "EDU_O"}, {"txt": "[17] J. Piotrowski, D. Windey, J. Vijayan, C. Gonzalez-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.071, 0.866, 0.485, 0.876]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 519, "edu_l1_label": "EDU_O"}, {"txt": "Ballestero, A. de los R´ıos Sommer, N. Meyer, R. Quidant,O.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.545, 0.157, 0.928, 0.168], [0.545, 0.17, 0.562, 0.18]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 520, "edu_l1_label": "EDU_O"}, {"txt": "Romero-Isart, R. Reimann, and L. Novotny, Simultaneous ground-state cooling of two mechanical modes of a levitated nanoparticle, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.562, 0.17, 0.928, 0.18], [0.545, 0.182, 0.928, 0.193], [0.545, 0.195, 0.732, 0.205]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 521, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.732, 0.195, 0.774, 0.205]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 522, "edu_l1_label": "EDU_O"}, {"txt": "19, 1009 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.774, 0.195, 0.89, 0.205]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 523, "edu_l1_label": "EDU_O"}, {"txt": "[18] M. Perdriat, C. C. Rusconi, T. Delord, P. Huillery, C. Pellet-Mary, B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.207, 0.928, 0.218], [0.545, 0.219, 0.67, 0.23]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 524, "edu_l1_label": "EDU_O"}, {"txt": "A. Stickler, and G. H´etet, Spin read-out of the motion of levitated electrically rotated diamonds (2023), arXiv:2309.01545 [quant-ph].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.67, 0.219, 0.928, 0.23], [0.545, 0.232, 0.928, 0.243], [0.545, 0.244, 0.842, 0.255]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 525, "edu_l1_label": "EDU_O"}, {"txt": "[19] D. S. Bykov, L. Dania, F. Goschin, and T. E. Northup, A nanoparticle stored with an atomic ion in a linear paul trap (2024), arXiv:2403.02034 [quant-ph].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.257, 0.928, 0.267], [0.545, 0.269, 0.928, 0.28], [0.545, 0.282, 0.827, 0.292]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 526, "edu_l1_label": "EDU_O"}, {"txt": "[20] Y. Jin, K. Shen, P. Ju, X. Gao, C. Zu, A. J. Grine, and T. Li, Quantum control and berry phase of electron spins in rotating levitated diamonds in high vacuum, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.294, 0.788, 0.305], [0.788, 0.294, 0.928, 0.305], [0.545, 0.306, 0.928, 0.317], [0.545, 0.319, 0.928, 0.33], [0.545, 0.331, 0.575, 0.342]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 527, "edu_l1_label": "EDU_O"}, {"txt": "Commun.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.575, 0.331, 0.646, 0.342]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 528, "edu_l1_label": "EDU_O"}, {"txt": "15, 5063 (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.646, 0.331, 0.762, 0.342]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 529, "edu_l1_label": "EDU_O"}, {"txt": "[21] M. Rossi, A. Militaru, N. C. Zambon, A. Riera-Campeny, O. Romero-Isart, M. Frimmer, and L. Novotny, Quantum delocalization of a levitated nanoparticle (2024), arXiv:2408.01264 [quant-ph].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.344, 0.928, 0.354], [0.545, 0.356, 0.928, 0.367], [0.545, 0.369, 0.928, 0.379], [0.545, 0.381, 0.741, 0.392]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 530, "edu_l1_label": "EDU_O"}, {"txt": "[22] R. Mufato, T. S. Georgescu, M. Carlesso, M. Paternostro, and H. Ulbricht, Coherent expansion of the motional state of a massive nanoparticle beyond its linear dimensions (2024), arXiv:2408.09596 [quant-ph].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.393, 0.928, 0.404], [0.545, 0.406, 0.928, 0.416], [0.545, 0.418, 0.928, 0.429], [0.545, 0.431, 0.831, 0.441]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 531, "edu_l1_label": "EDU_O"}, {"txt": "[23] O. Romero-Isart, A. C. Pfanzer, F. Blaser, R. Kaltenbaek, N. Kiesel, M. Aspelmeyer, and J. I. Cirac, Large Quantum Superpositions and Interference of Massive Nanometer-Sized Objects, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.443, 0.562, 0.454], [0.581, 0.443, 0.674, 0.454], [0.697, 0.443, 0.713, 0.454], [0.732, 0.443, 0.747, 0.454], [0.766, 0.443, 0.826, 0.454], [0.848, 0.443, 0.863, 0.454], [0.882, 0.443, 0.928, 0.454], [0.545, 0.456, 0.662, 0.466], [0.662, 0.456, 0.928, 0.466], [0.545, 0.468, 0.928, 0.479], [0.545, 0.48, 0.849, 0.491]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 532, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.849, 0.48, 0.888, 0.491]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 533, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.888, 0.48, 0.928, 0.491]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 534, "edu_l1_label": "EDU_O"}, {"txt": "107, 020405 (2011).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.545, 0.493, 0.68, 0.503]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 535, "edu_l1_label": "EDU_O"}, {"txt": "[24] S.Nimmrichter, P. Haslinger, K. Hornberger,and M. Arndt, Concept of an ionizing time-domain matterwave interferometer, New J. Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.505, 0.661, 0.516], [0.675, 0.505, 0.688, 0.516], [0.7, 0.505, 0.768, 0.516], [0.782, 0.505, 0.798, 0.516], [0.81, 0.505, 0.928, 0.516], [0.545, 0.518, 0.928, 0.528], [0.545, 0.53, 0.778, 0.541]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 536, "edu_l1_label": "EDU_O"}, {"txt": "13, 75002 (2011).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.778, 0.53, 0.901, 0.541]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 537, "edu_l1_label": "EDU_O"}, {"txt": "[25] J. Bateman, S. Nimmrichter, K. Hornberger, and H. Ulbricht, Near-feld interferometry of a free-falling nanoparticle from a point-like source, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.543, 0.928, 0.553], [0.545, 0.555, 0.928, 0.566], [0.545, 0.567, 0.794, 0.578]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 538, "edu_l1_label": "EDU_O"}, {"txt": "Commun.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.794, 0.567, 0.868, 0.578]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 539, "edu_l1_label": "EDU_O"}, {"txt": "5, 4788 (2014).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.868, 0.567, 0.928, 0.578], [0.545, 0.58, 0.593, 0.59]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 540, "edu_l1_label": "EDU_O"}, {"txt": "[26] C. Wan, M. Scala, G. W. Morley, ATM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.592, 0.836, 0.603]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 541, "edu_l1_label": "EDU_O"}, {"txt": "A. Rahman, H. Ulbricht, J. Bateman, P. F. Barker, S. Bose, and M. S. Kim, Free Nano-Object Ramsey Interferometry for Large Quantum Superpositions, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.836, 0.592, 0.928, 0.603], [0.545, 0.605, 0.928, 0.615], [0.545, 0.617, 0.928, 0.628], [0.545, 0.629, 0.762, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 542, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.762, 0.629, 0.799, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 543, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.799, 0.629, 0.838, 0.64]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 544, "edu_l1_label": "EDU_O"}, {"txt": "117, 143003 (2016).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.838, 0.629, 0.928, 0.64], [0.545, 0.642, 0.593, 0.653]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 545, "edu_l1_label": "EDU_O"}, {"txt": "[27] O. Romero-Isart, Coherent infation for large quantum superpositions of levitated microspheres, New J. Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.654, 0.928, 0.665], [0.545, 0.667, 0.928, 0.677]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 546, "edu_l1_label": "EDU_O"}, {"txt": "19, 123029 (2017).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.545, 0.679, 0.672, 0.69]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 547, "edu_l1_label": "EDU_O"}, {"txt": "[28] R. Kaltenbaek et al., Research campaign: Macroscopic quantum resonators (maqro), Quant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.692, 0.928, 0.702], [0.545, 0.704, 0.807, 0.715]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 548, "edu_l1_label": "EDU_O"}, {"txt": "Sci.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.807, 0.704, 0.84, 0.715]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 549, "edu_l1_label": "EDU_O"}, {"txt": "Technol.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.84, 0.704, 0.906, 0.715]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 550, "edu_l1_label": "EDU_O"}, {"txt": "8, 014006 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.906, 0.704, 0.928, 0.715], [0.545, 0.716, 0.644, 0.727]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 551, "edu_l1_label": "EDU_O"}, {"txt": "[29] M. Roda-Llordes, A. Riera-Campeny, D. Candoli, P. T. Grochowski, and O. Romero-Isart, Macroscopic quantum superpositions via dynamics in a wide double-well potential, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.729, 0.928, 0.74], [0.545, 0.741, 0.928, 0.752], [0.545, 0.754, 0.928, 0.764], [0.545, 0.766, 0.615, 0.777]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 552, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.615, 0.766, 0.65, 0.777]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 553, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.65, 0.766, 0.688, 0.777]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 554, "edu_l1_label": "EDU_O"}, {"txt": "132, 023601 (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.688, 0.766, 0.829, 0.777]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 555, "edu_l1_label": "EDU_O"}, {"txt": "[30] J. Wardak, T. Georgescu, G. Gasbarri, A. Belenchia, and H. Ulbricht, Nanoparticle interferometer by throw and catch, Atoms 12, 10.3390/atoms12020007 (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.779, 0.928, 0.789], [0.545, 0.791, 0.928, 0.802], [0.545, 0.803, 0.88, 0.814]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 556, "edu_l1_label": "EDU_O"}, {"txt": "[31] M. O. E. Steiner, J. S. Pedernales, and M. B. Plenio, Pentacene-doped naphthalene for levitated optomechanics (2024), arXiv:2405.13869 [quant-ph].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.816, 0.928, 0.827], [0.545, 0.828, 0.928, 0.839], [0.545, 0.841, 0.816, 0.851]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 557, "edu_l1_label": "EDU_O"}, {"txt": "[32] C. Davisson and L. H. Germer, Difraction of electrons by a crystal of nickel, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.515, 0.853, 0.928, 0.864], [0.545, 0.866, 0.733, 0.876]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 558, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.733, 0.866, 0.769, 0.876]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 559, "edu_l1_label": "EDU_O"}, {"txt": "30, 705 (1927).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.769, 0.866, 0.877, 0.876]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 560, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.911, 0.09, 0.928, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 561, "edu_l1_label": "EDU_O"}, {"txt": "[33] C. Kisielowski et al., Detection of Single Atoms and Buried Defects in Three Dimensions by AberrationCorrected Electron Microscope with 0.5-˚AInformation Limit, Microsc.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.122, 0.485, 0.132], [0.102, 0.134, 0.485, 0.145], [0.102, 0.147, 0.397, 0.157], [0.397, 0.147, 0.485, 0.157], [0.102, 0.159, 0.205, 0.17]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 562, "edu_l1_label": "EDU_O"}, {"txt": "Microanal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.205, 0.159, 0.282, 0.17]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 563, "edu_l1_label": "EDU_O"}, {"txt": "14, 469 (2008).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.282, 0.159, 0.39, 0.17]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 564, "edu_l1_label": "EDU_O"}, {"txt": "[34] L. Jin, J. Barthel, C.-L. Jia, and K. W. Urban, Atomic resolution imaging of YAlO3:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.171, 0.485, 0.182], [0.102, 0.184, 0.304, 0.194]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 5, "global_sentence_id": 565, "edu_l1_label": "EDU_O"}, {"txt": " Ce in the chromatic and spherical aberration corrected PICO electron microscope, Ultramicroscopy 176, 99 (2017).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.304, 0.184, 0.485, 0.194], [0.102, 0.196, 0.485, 0.207], [0.102, 0.209, 0.322, 0.219]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 5, "global_sentence_id": 566, "edu_l1_label": "EDU_O"}, {"txt": "[35] K. W. Urban, J. Barthel, L. Houben, C.-L. Jia, L. Jin, M. Lentzen, S.-B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.221, 0.485, 0.232], [0.102, 0.234, 0.233, 0.244]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 4, "global_sentence_id": 567, "edu_l1_label": "EDU_O"}, {"txt": "Mi, A. Thust, and K. Tillmann, Progress in atomic-resolution aberration corrected conventional transmission electron microscopy (CTEM), Prog.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.233, 0.234, 0.485, 0.244], [0.102, 0.246, 0.485, 0.257], [0.102, 0.258, 0.485, 0.269], [0.102, 0.271, 0.138, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 4, "global_sentence_id": 568, "edu_l1_label": "EDU_O"}, {"txt": "Mater.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.138, 0.271, 0.189, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 4, "global_sentence_id": 569, "edu_l1_label": "EDU_O"}, {"txt": "Sci.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.189, 0.271, 0.218, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 4, "global_sentence_id": 570, "edu_l1_label": "EDU_O"}, {"txt": "133, 101037 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.218, 0.271, 0.358, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 4, "global_sentence_id": 571, "edu_l1_label": "EDU_O"}, {"txt": "[36] R. Ishikawa, S. Morishita, T. Tanigaki, N. Shibata, and Y. Ikuhara, Spatial and phase resolution in electron microscopy, Microscopy 72, 78 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.283, 0.485, 0.294], [0.102, 0.296, 0.485, 0.306], [0.102, 0.308, 0.345, 0.319]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 10, "global_sentence_id": 572, "edu_l1_label": "EDU_O"}, {"txt": "[37] S. Tsujino, On the brightness, transverse emittance, andtransversecoherenceoffeld emission beam, J. Vac.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.32, 0.485, 0.331], [0.102, 0.333, 0.358, 0.344], [0.373, 0.333, 0.43, 0.344], [0.444, 0.333, 0.485, 0.344], [0.102, 0.345, 0.149, 0.356]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 573, "edu_l1_label": "EDU_O"}, {"txt": "Sci.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.149, 0.345, 0.178, 0.356]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 574, "edu_l1_label": "EDU_O"}, {"txt": "Technol.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.178, 0.345, 0.24, 0.356]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 575, "edu_l1_label": "EDU_O"}, {"txt": "B 40, 030801 (2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.24, 0.345, 0.387, 0.356]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 576, "edu_l1_label": "EDU_O"}, {"txt": "[38] L. Reimer and H. Kohl, Transmission Electron Microscopy (Springer Verlag, 2008).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.358, 0.127, 0.368], [0.127, 0.358, 0.384, 0.368], [0.395, 0.358, 0.45, 0.368], [0.46, 0.358, 0.485, 0.368], [0.102, 0.37, 0.327, 0.381]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 13, "global_sentence_id": 577, "edu_l1_label": "EDU_O"}, {"txt": "[39] V. A.Lobastov, R.Srinivasan, and A. H. Zewail, Four-dimensional ultrafast electron microscopy, Proc.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.383, 0.118, 0.393], [0.132, 0.383, 0.228, 0.393], [0.245, 0.383, 0.349, 0.393], [0.363, 0.383, 0.388, 0.393], [0.403, 0.383, 0.418, 0.393], [0.433, 0.383, 0.449, 0.393], [0.463, 0.383, 0.485, 0.393], [0.102, 0.395, 0.33, 0.406], [0.33, 0.395, 0.395, 0.406], [0.395, 0.395, 0.485, 0.406], [0.102, 0.407, 0.138, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 578, "edu_l1_label": "EDU_O"}, {"txt": "Natl.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.138, 0.407, 0.177, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 579, "edu_l1_label": "EDU_O"}, {"txt": "Acad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.177, 0.407, 0.221, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 580, "edu_l1_label": "EDU_O"}, {"txt": "Sci.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.221, 0.407, 0.251, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 581, "edu_l1_label": "EDU_O"}, {"txt": "U.S.A. 102, 7069 (2005).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.251, 0.407, 0.425, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 582, "edu_l1_label": "EDU_O"}, {"txt": "[40] A. H. Zewail, 4D ultrafast electron difraction, crystallography, and microscopy, Annu.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.42, 0.485, 0.431], [0.102, 0.432, 0.306, 0.443]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 583, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.306, 0.432, 0.342, 0.443]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 584, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.342, 0.432, 0.386, 0.443]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 585, "edu_l1_label": "EDU_O"}, {"txt": "Chem.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.386, 0.432, 0.435, 0.443]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 586, "edu_l1_label": "EDU_O"}, {"txt": "57, 65 (2006).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.435, 0.432, 0.485, 0.443], [0.102, 0.445, 0.149, 0.455]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 587, "edu_l1_label": "EDU_O"}, {"txt": "[41] G. M. Vanacore, I. Madan, G. Berruto, K. Wang, E. Pomarico, R. J. Lamb, D. Mcgrouther, I. Kaminer, B. Barwick, F. Javier Garc´ıa de Abajo, and F. Carbone, At-tosecond coherent control of free-electron wave functions using semi-infnite light felds, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.457, 0.485, 0.468], [0.102, 0.47, 0.485, 0.48], [0.102, 0.482, 0.485, 0.493], [0.102, 0.494, 0.485, 0.505], [0.102, 0.507, 0.351, 0.518]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 588, "edu_l1_label": "EDU_O"}, {"txt": "Commun.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.351, 0.507, 0.425, 0.518]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 589, "edu_l1_label": "EDU_O"}, {"txt": "9, 2694 (2018).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.425, 0.507, 0.485, 0.518], [0.102, 0.519, 0.149, 0.53]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 590, "edu_l1_label": "EDU_O"}, {"txt": "[42] S. Mori, H. Nakajima, A. Kotani, and K. Harada, Recent advances in small-angle electron difraction and Lorentz microscopy, Microscopy 70, 59 (2021).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.532, 0.485, 0.542], [0.102, 0.544, 0.485, 0.555], [0.102, 0.557, 0.362, 0.567]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 591, "edu_l1_label": "EDU_O"}, {"txt": "[43] X. Llopart, J. Alozy, R. Ballabriga, M. Campbell, R. Casanova, V.Gromov, E. Heijne, T. Poikela, E. Santin, V. Sriskaran, et al., Timepix4, a large area pixel detector readout chip which can be tiled on 4 sides providing sub-200 ps timestamp binning, J. Instrum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.569, 0.129, 0.58], [0.129, 0.569, 0.183, 0.58], [0.196, 0.569, 0.261, 0.58], [0.273, 0.569, 0.3, 0.58], [0.3, 0.569, 0.374, 0.58], [0.386, 0.569, 0.485, 0.58], [0.102, 0.581, 0.118, 0.592], [0.13, 0.581, 0.198, 0.592], [0.213, 0.581, 0.3, 0.592], [0.314, 0.581, 0.329, 0.592], [0.342, 0.581, 0.389, 0.592], [0.404, 0.581, 0.419, 0.592], [0.432, 0.581, 0.485, 0.592], [0.102, 0.594, 0.485, 0.604], [0.102, 0.606, 0.485, 0.617], [0.102, 0.619, 0.458, 0.629]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 592, "edu_l1_label": "EDU_O"}, {"txt": "17, C01044 (2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.458, 0.619, 0.485, 0.629], [0.102, 0.631, 0.204, 0.642]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 593, "edu_l1_label": "EDU_O"}, {"txt": "[44] S. Lindner, P. Juschitz, J. Rieser, Y. Y. Fein, M. Debiossac, M. A. Ciampini, M. Aspelmeyer, and N. Kiesel, Hollow-core fber loading of nanoparticles into ultra-high vacuum, Appl.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.644, 0.485, 0.654], [0.102, 0.656, 0.485, 0.667], [0.102, 0.668, 0.485, 0.679], [0.102, 0.681, 0.201, 0.691]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 594, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.201, 0.681, 0.243, 0.691]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 595, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.243, 0.681, 0.281, 0.691]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 596, "edu_l1_label": "EDU_O"}, {"txt": "124 (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.281, 0.681, 0.366, 0.691]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 2, "global_sentence_id": 597, "edu_l1_label": "EDU_O"}, {"txt": "[45] L. Dania, K. Heidegger, D. S. Bykov, G. Cerchiari, G. Araneda, and T. E. Northup, Position measurement of a levitated nanoparticle via interference with its mirror image, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.693, 0.336, 0.704], [0.336, 0.693, 0.393, 0.704], [0.393, 0.693, 0.485, 0.704], [0.102, 0.706, 0.485, 0.716], [0.102, 0.718, 0.485, 0.729], [0.102, 0.731, 0.188, 0.741]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 598, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.188, 0.731, 0.224, 0.741]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 599, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.224, 0.731, 0.262, 0.741]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 600, "edu_l1_label": "EDU_O"}, {"txt": "129, 013601 (2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.262, 0.731, 0.402, 0.741]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 601, "edu_l1_label": "EDU_O"}, {"txt": "[46] T. Danz, T. Domr¨ose,andC.Ropers,Ultrafast nanoimaging of the order parameter in a structural phase transition, Science 371, 371 (2021).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.743, 0.118, 0.754], [0.131, 0.743, 0.17, 0.754], [0.186, 0.743, 0.201, 0.754], [0.215, 0.743, 0.411, 0.754], [0.424, 0.743, 0.485, 0.754], [0.102, 0.755, 0.485, 0.766], [0.102, 0.768, 0.343, 0.778]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 9, "global_sentence_id": 602, "edu_l1_label": "EDU_O"}, {"txt": "[47] J. Millen, T. S. Monteiro, R. Pettit, and A. N. Vamivakas,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.071, 0.78, 0.485, 0.791]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 15, "global_sentence_id": 603, "edu_l1_label": "EDU_O"}, {"txt": "Optomechanics with levitated particles, Rep. Prog.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.545, 0.122, 0.887, 0.132]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 604, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.887, 0.122, 0.928, 0.132]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 605, "edu_l1_label": "EDU_O"}, {"txt": "83, 026401 (2020) [48] E. Bonvin, L. Devaud, M. Rossi, A. Militaru, L. Dania, D. S. Bykov, M. Teller, T. E. Northup, L. Novotny, and M. Frimmer, Hybrid paul-optical trap with large optical access for levitated optomechanics, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.545, 0.134, 0.667, 0.145], [0.515, 0.147, 0.928, 0.157], [0.545, 0.159, 0.928, 0.17], [0.545, 0.171, 0.928, 0.182], [0.545, 0.184, 0.833, 0.194]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 606, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.833, 0.184, 0.871, 0.194]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 607, "edu_l1_label": "EDU_O"}, {"txt": "Res.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.871, 0.184, 0.907, 0.194]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 608, "edu_l1_label": "EDU_O"}, {"txt": "6, 043129 (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.907, 0.184, 0.928, 0.194], [0.545, 0.196, 0.644, 0.207]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 609, "edu_l1_label": "EDU_O"}, {"txt": "[49] C. Lee, Y. Ikematsu, and D. Shindo, Measurement of mean free paths for inelastic electron scattering of Si and SiO2, Journal of Electron Microscopy 51, 143 (2002).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.209, 0.928, 0.219], [0.545, 0.221, 0.928, 0.232], [0.545, 0.234, 0.908, 0.244]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 610, "edu_l1_label": "EDU_O"}, {"txt": "[50] C. T. Koch, W. Sigle, R. H¨oschen, M. Ru¨hle, E. Es-sers, G. Benner, and M. Matijevic, SESAM: Exploring the Frontiers of Electron Microscopy, Microsc.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.246, 0.928, 0.257], [0.545, 0.258, 0.928, 0.269], [0.545, 0.271, 0.852, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 611, "edu_l1_label": "EDU_O"}, {"txt": "Microanal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.852, 0.271, 0.928, 0.281]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 612, "edu_l1_label": "EDU_O"}, {"txt": "12, 506 (2006).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.545, 0.283, 0.648, 0.294]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 613, "edu_l1_label": "EDU_O"}, {"txt": "[51] A. Ruiz Caridad, R. Erni, A. Vogel, and M. D. Rossell, Applications of a novel electron energy flter combined with a hybrid-pixel direct electron detector for the analysis of functional oxides by STEM/EELS and energyfltered imaging, Micron 160, 103331 (2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.296, 0.928, 0.306], [0.545, 0.308, 0.928, 0.319], [0.545, 0.32, 0.928, 0.331], [0.545, 0.333, 0.928, 0.344], [0.545, 0.345, 0.849, 0.356]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 614, "edu_l1_label": "EDU_O"}, {"txt": "[52] B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.358, 0.561, 0.368]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 615, "edu_l1_label": "EDU_O"}, {"txt": "A. Stickler, K. Hornberger, and M. Kim, Quantum rotations of nanoparticles, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.561, 0.358, 0.928, 0.368], [0.545, 0.37, 0.755, 0.381]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 616, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.755, 0.37, 0.79, 0.381]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 617, "edu_l1_label": "EDU_O"}, {"txt": "Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.79, 0.37, 0.831, 0.381]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 618, "edu_l1_label": "EDU_O"}, {"txt": "3, 589 (2021).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.831, 0.37, 0.928, 0.381]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 619, "edu_l1_label": "EDU_O"}, {"txt": "[53] B. Schrinski, B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.383, 0.656, 0.393]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 620, "edu_l1_label": "EDU_O"}, {"txt": "A. Stickler, and K. Hornberger, Interferometric control of nanorotor alignment, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.656, 0.383, 0.928, 0.393], [0.545, 0.395, 0.875, 0.406]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 621, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.875, 0.395, 0.911, 0.406]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 622, "edu_l1_label": "EDU_O"}, {"txt": "A 105, L021502 (2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.911, 0.395, 0.928, 0.406], [0.545, 0.407, 0.69, 0.418]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 623, "edu_l1_label": "EDU_O"}, {"txt": "[54] M. Kamba, R. Shimizu, and K. Aikawa, Nanoscale feedback control of six degrees of freedom of a near-sphere, Nat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.42, 0.928, 0.431], [0.545, 0.432, 0.928, 0.443], [0.545, 0.445, 0.575, 0.455]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 624, "edu_l1_label": "EDU_O"}, {"txt": "Commun.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.575, 0.445, 0.646, 0.455]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 625, "edu_l1_label": "EDU_O"}, {"txt": "14, 7943 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.646, 0.445, 0.762, 0.455]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 626, "edu_l1_label": "EDU_O"}, {"txt": "[55] R. Egerton, R. McLeod, F. Wang, and M. Malac, Basic questions related to electron-induced sputtering in the tem, Ultramicroscopy 110, 991 (2010).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.457, 0.928, 0.468], [0.545, 0.47, 0.928, 0.48], [0.545, 0.482, 0.809, 0.493]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 627, "edu_l1_label": "EDU_O"}, {"txt": "[56] E. Hebestreit, R. Reimann, M. Frimmer, and L. Novotny, Measuringtheinternaltemperatureofalevitated nanoparticle in high vacuum, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.494, 0.928, 0.505], [0.545, 0.507, 0.928, 0.518], [0.545, 0.519, 0.791, 0.53]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 628, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.791, 0.519, 0.828, 0.53]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 629, "edu_l1_label": "EDU_O"}, {"txt": "A 97, 043803 (2018).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.828, 0.519, 0.928, 0.53], [0.545, 0.532, 0.593, 0.542]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 630, "edu_l1_label": "EDU_O"}, {"txt": "[57] K. Hornberger, J. E. Sipe, and M. Arndt, Theory of decoherence in a matter wave talbot-lau interferometer, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.544, 0.928, 0.555], [0.545, 0.557, 0.928, 0.567]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 631, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.545, 0.569, 0.576, 0.58]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 632, "edu_l1_label": "EDU_O"}, {"txt": "A 70, 053608 (2004).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.576, 0.569, 0.724, 0.58]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 633, "edu_l1_label": "EDU_O"}, {"txt": "[58] K. Reidy, J. D. Thomsen, and F. M. Ross, Perspectives on ultra-high vacuum transmission electron microscopy of dynamic crystal growth phenomena, Prog.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.581, 0.928, 0.592], [0.545, 0.594, 0.928, 0.604], [0.545, 0.606, 0.849, 0.617]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 634, "edu_l1_label": "EDU_O"}, {"txt": "Mater.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.849, 0.606, 0.899, 0.617]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 635, "edu_l1_label": "EDU_O"}, {"txt": "Sci.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.899, 0.606, 0.928, 0.617]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 636, "edu_l1_label": "EDU_O"}, {"txt": "139, 101163 (2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.545, 0.619, 0.68, 0.629]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 637, "edu_l1_label": "EDU_O"}, {"txt": "[59] B. Schrinski,S.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.631, 0.561, 0.642], [0.573, 0.631, 0.666, 0.642]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 638, "edu_l1_label": "EDU_O"}, {"txt": "Nimmrichter,andK.Hornberger, Quantum-classical hypothesis tests in macroscopic matter-wave interferometry, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.679, 0.631, 0.928, 0.642], [0.545, 0.644, 0.669, 0.654], [0.685, 0.644, 0.756, 0.654], [0.771, 0.644, 0.802, 0.654], [0.818, 0.644, 0.831, 0.654], [0.846, 0.644, 0.928, 0.654], [0.545, 0.656, 0.78, 0.667]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 639, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.78, 0.656, 0.818, 0.667]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 640, "edu_l1_label": "EDU_O"}, {"txt": "Res.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.818, 0.656, 0.854, 0.667]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 641, "edu_l1_label": "EDU_O"}, {"txt": "2, 033034 (2020).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.854, 0.656, 0.928, 0.667], [0.545, 0.668, 0.593, 0.679]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 642, "edu_l1_label": "EDU_O"}, {"txt": "[60] S. Nimmrichter andK.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.681, 0.558, 0.691], [0.573, 0.681, 0.659, 0.691], [0.674, 0.681, 0.73, 0.691]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 643, "edu_l1_label": "EDU_O"}, {"txt": "Hornberger, Macroscopicity of mechanicalquantum superposition states, Phys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.745, 0.681, 0.825, 0.691], [0.84, 0.681, 0.928, 0.691], [0.545, 0.693, 0.564, 0.704], [0.58, 0.693, 0.593, 0.704], [0.61, 0.693, 0.761, 0.704], [0.778, 0.693, 0.868, 0.704], [0.885, 0.693, 0.928, 0.704], [0.545, 0.706, 0.583, 0.716]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 644, "edu_l1_label": "EDU_O"}, {"txt": "Rev.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.583, 0.706, 0.619, 0.716]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 645, "edu_l1_label": "EDU_O"}, {"txt": "Lett.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.619, 0.706, 0.657, 0.716]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 646, "edu_l1_label": "EDU_O"}, {"txt": "110, 160403 (2013).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.657, 0.706, 0.797, 0.716]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 647, "edu_l1_label": "EDU_O"}, {"txt": "[61] A. G. Jackson, Handbook of crystallography: for electron microscopists and others (Springer New York, 1991).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.515, 0.718, 0.928, 0.729], [0.545, 0.731, 0.903, 0.741]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 14, "global_sentence_id": 648, "edu_l1_label": "EDU_O"}, {"txt": "[62] K. Hornberger, S. Gerlich, P. Haslinger, S. Nimmrichter, and M. 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# Electron-Enabled Nanoparticle Difraction ## I.INTRODUCTION ## II.PROPOSED EXPERIMENT ## III.RELEVANT SYSTEMATIC EFFECTS ## IV.DECOHERENCE ESTIMATES ## V. DISCUSSION ## Appendix A: Efective grating transformation ## Appendix B: Phase-space description of the matter-wave difraction scheme
b391bd6e-4934-4d76-9015-3f48722cff69
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# AI赋能开启医疗新篇章，商业化落地加速-行业周报 ## 1、AI医疗潜力较大，商业化落地加速 ### 1.1、政策加码与技术变革合力，推动AI医疗市场加速扩容 ### 1.2、AI医疗细分领域众多，商业化落地加速 #### 1.2.1、AI医疗影像产业多维拓展，发展空间广阔 ##### AI医疗影像发展趋势：横向扩张低覆盖率的脏器市场，纵向构筑诊疗一体化体系。 ##### AI医疗影像产业链上中下游协同发展。 ##### 数据、算力、算法模型是核心技术壁垒，入院能力强的头部企业优势显著。 ##### 受益标的：迈瑞医疗、联影医疗、理邦仪器、开立医疗、澳华内镜、祥生医疗等。 #### 1.2.2、AI赋能诊断领域，病理化检测赋能 #### 1.2.3、AI医疗机器人：手术、康复机器人方兴未艾 ##### AI手术机器人： ##### 康复机器人： ##### 耗材及服务将成为手术机器人主要收入来源和竞争点。 ##### 受益标的：微创机器人、天智航-U等。 #### 1.2.4、医疗数据信息化平台：CDSS商业化程度最高 #### 1.2.5、AI制药合作持续升温，加速创新制药步伐 ## 2、2月第2周医药生物上涨2.71%，线下药店涨幅最大 ### 2.1、板块行情：医药生物上涨2.71%，跑赢沪深300指数1.53pct ### 2.2、子板块行情：线下药店涨幅最大，血液制品板块跌幅最大 ## 3、风险提示 ### （1）政策波动风险。医保政策、价格调整等政策可能对医药行业产生影响。 ### （2）市场震荡风险。若市场风险偏好改变或公司成长性预期调整，可能影响公司估值稳定性。 ### （3）医保未准入风险。医保谈判结果还未正式落地，可能影响公司部分产品未来的放量节奏。
16526a82-ee8c-49a8-9ed3-0d56e730afab
web
test/raw_web_htmls/16526a82-ee8c-49a8-9ed3-0d56e730afab.html
https://www.techradar.com/pro/security/intel-slams-nvidia-amd-claims-chip-giants-have-huge-numbers-of-security-flaws
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# Intel slams Nvidia and AMD, claims chip giants have huge numbers of security flaws ## Battle of the giants
71b461dc-650f-4544-a42f-39ab386a06ac
pdf
test/raw_pdf_files/71b461dc-650f-4544-a42f-39ab386a06ac.pdf
null
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[{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.598, 0.171, 0.884, 0.181], [0.118, 0.185, 0.886, 0.193], [0.117, 0.198, 0.873, 0.206], [0.117, 0.211, 0.881, 0.221], [0.117, 0.228, 0.413, 0.234]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "In contrast, larger language models show an improvement of 1.17%,underscoring the significant benefits of the joint multilingual training approach enhanced by adversarial objectives.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.413, 0.228, 0.886, 0.235], [0.117, 0.241, 0.867, 0.247]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "We also performed a comprehensive statistical comparative analysis to confirm the strengths of our approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.117, 0.259, 0.849, 0.269]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "The student's t-test yielded a p-value of 0.0181, demonstrating that gains in UniBERT performance are significant at a significance threshold ofα=0.05.It also shows that the combination of joint multilingual training and adversarial training effectively compensates for the reduced capacity of compact models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.849, 0.259, 0.881, 0.269], [0.118, 0.276, 0.882, 0.283], [0.118, 0.289, 0.281, 0.295], [0.285, 0.29, 0.882, 0.296], [0.118, 0.302, 0.623, 0.309]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "In summary, the main contributions of this paper are as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.117, 0.321, 0.533, 0.33]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "·We propose UniBERT, a compact, novel multilingual language model that integrates masked language modeling, adversarial training, and knowledge distillation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.161, 0.35, 0.881, 0.357], [0.185, 0.364, 0.557, 0.371]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "·We show that joint multilingual training, combined with an adversarial objective, significantly enhances cross-lingual performance, particularly in resource-constrained settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.161, 0.382, 0.881, 0.39], [0.175, 0.396, 0.645, 0.403]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "·We provide extensive evaluations on multipleNLP tasks, establishing the competitive performance of UniBERT compared to larger baseline models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.161, 0.416, 0.882, 0.422], [0.175, 0.429, 0.413, 0.436]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "·We offer a detailed comparative analysis supported by statistical evidence, highlighting the efficacy of our approach in achieving language-invariant representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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framework to align sentence representations across languages using parallel data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.116, 0.552, 0.881, 0.56], [0.118, 0.566, 0.881, 0.574], [0.117, 0.58, 0.321, 0.588]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "Subsequent models, such as SBERT-distill [15], utilized knowledge distillation to transfer monolingual sentence embedding capabilities into a multilingual space, allowing robust performance with fewer parallel sentences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.321, 0.58, 0.881, 0.588], [0.116, 0.594, 0.88, 0.602], [0.118, 0.609, 0.242, 0.615]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "LaBSE [16] expanded these ideas by introducing additive margin softmax,which improved the discriminative power for translation pair similarity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.242, 0.609, 0.881, 0.615], [0.117, 0.621, 0.451, 0.629]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "Despite their effectiveness, these methods often require extensive computational resources and large-scale parallel data, making them less accessible for low-resource languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.451, 0.621, 0.881, 0.629], [0.117, 0.637, 0.838, 0.644]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "Multilingual pre-trained language models have also made 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context of adversarial examples for image classification [8], adversarial training has since been adapted to a variety of tasks, such as named entity recognition [23],text classification [24], and multiword expression detection [25] in NLP.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.489, 0.271, 0.881, 0.278], [0.117, 0.284, 0.88, 0.292], [0.117, 0.296, 0.636, 0.306]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "A central idea in adversarial training is the minimax optimization framework, which pits a discriminator against a feature extractor to encourage learning task-relevant and domain-invariant features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.636, 0.296, 0.881, 0.306], [0.12, 0.311, 0.88, 0.32], [0.118, 0.325, 0.408, 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wide range of tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.553, 0.545, 0.881, 0.553], [0.118, 0.558, 0.886, 0.566], [0.118, 0.572, 0.881, 0.581], [0.117, 0.588, 0.248, 0.595]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "Moreover, adversarial training has expanded beyond text classification and NER to address multilingual and cross-lingual tasks [34,35].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.118, 0.607, 0.883, 0.614], [0.117, 0.62, 0.265, 0.634]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "In these applications, adversarial discriminators are designed to promote language-invariant representations, enabling zero-shot or few-shot learning for low-resource languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.265, 0.62, 0.88, 0.629], [0.117, 0.636, 0.687, 0.642]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "In addition, techniques such as lateral inhibition layers have been integrated with adversarial setups to enhance the separation of embeddings for specific tasks such as multi-word expression identification [9].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.687, 0.636, 0.88, 0.642], [0.117, 0.65, 0.882, 0.657], [0.118, 0.664, 0.522, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "These advancements highlight the ongoing evolution of adversarial training, with each iteration introducing improved mechanisms to control the interaction between feature extraction and task-specific optimization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.522, 0.664, 0.882, 0.67], [0.117, 0.678, 0.881, 0.684], [0.117, 0.691, 0.386, 0.698]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "3 UniBERT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.116, 0.723, 0.229, 0.734]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 90, "edu_l1_label": "BOS"}, {"txt": "3.1 Training Data", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.116, 0.755, 0.252, 0.765]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "The UniBERT models were pre-trained on the latest dump of the Wikipedia corpus [36],which was thoroughly filtered to ensure a high-quality dataset by employing the following heuristics:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.116, 0.78, 0.882, 0.79], [0.116, 0.796, 0.578, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "·Removed all the HTML artifacts left in the corpus using a simple regex.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.161, 0.824, 0.646, 0.83]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "·Removed all samples that contained only URLs or ISBNs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.162, 0.843, 0.556, 0.85]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "·Removed all samples for which the count of digits represents more than 70% of the length of the whole text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.162, 0.863, 0.882, 0.869]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "·Removed all the hidden characters from the text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.162, 0.883, 0.493, 0.89]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "·Removed all samples with less than five tokens using the multilingual BERT (mBERT) [2] tokenizer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.161, 0.902, 0.834, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 17, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.735, 0.045, 0.883, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 99, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.116, 0.093, 0.874, 0.275]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 100, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: The amount of data in GB (log-scale) for each of the 107 languages that appear in the Wikipedia corpus was used to pre-train the UniBERT models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.115, 0.287, 0.885, 0.312]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 101, "edu_l1_label": "EDU_O"}, {"txt": "Table 1: Comparison of our UniBERT models and the other multilingual BERT-based models available in the literature regarding their number of layers, number of hidden units on each layer, number of heads, vocabulary dimension, number of parameters, and model size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.115, 0.337, 0.885, 0.378]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 102, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.144, 0.379, 0.851, 0.508]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 5, "global_sentence_id": 103, "edu_l1_label": "EDU_O"}, {"txt": "The resulting dataset contained 82GB of textual data, with the English language being the most representative (i.e.,9.8GB of data) and the Swati language the least representative (i.e., 802K of data), as depicted in Figure 1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.116, 0.54, 0.886, 0.549], [0.117, 0.554, 0.827, 0.562]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "We also measured the average number of tokens in the dataset using the mBERT tokenizer and found that each sample in the dataset had approximately 110 tokens on average, with the maximum number of tokens being approximately 10K tokens5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.827, 0.554, 0.881, 0.562], [0.118, 0.569, 0.881, 0.576], [0.117, 0.581, 0.881, 0.59], [0.117, 0.596, 0.171, 0.604]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "3.2 Model Architecture", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.117, 0.627, 0.29, 0.636]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "In this work, we introduce three distinct UniBERT models:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.117, 0.653, 0.527, 0.661]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": " UniBERT-Small, UniBERT-XSmall, and UniBERT-XXSmall.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.527, 0.653, 0.885, 0.66], [0.116, 0.666, 0.185, 0.675]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "These models provide varied configurations to address different computational needs and efficiency requirements.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.185, 0.666, 0.881, 0.677], [0.117, 0.682, 0.207, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "Each variant is designed to minimize the number of parameters and the overall size of the model, allowing efficient multilingual processing without sacrificing the core model performances.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.207, 0.682, 0.881, 0.691], [0.116, 0.696, 0.651, 0.703]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "Unlike prominent multilingual models such as Distil-mBERT-base [37], mBERT-base [2], and the XLM-RoBERTa series [17], our UniBERT models offer a streamlined architecture.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.117, 0.715, 0.881, 0.723], [0.117, 0.732, 0.565, 0.737]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "Table 1 shows that the UniBERT-Small model includes 6 layers with 512 hidden units per layer and 8 attention heads, which make it comparable in layer count to Distil-mBERT-base but with fewer hidden units and heads, resulting in a reduced number of parameters (87M versus 135M) and a smaller model size (334M versus 543M).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.565, 0.732, 0.882, 0.738], [0.118, 0.744, 0.882, 0.751], [0.118, 0.756, 0.881, 0.765], [0.118, 0.77, 0.464, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "This reduction is achieved while maintaining a similar vocabulary dimension of 120K, indicating that UniBERT-Small retains sufficient linguistic flexibility for multilingual tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.464, 0.77, 0.882, 0.781], [0.117, 0.785, 0.847, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "The UniBERT-XSmall and UniBERT-XXSmall configurations further emphasize parameter efficiency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.117, 0.805, 0.81, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "UniBERT-XSmall, with 4 layers, 256 hidden units per layer, and 8 heads, holds only 39M parameters and has a model size of 148M, nearly a quarter of the size of Distil-mBERT-base.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.81, 0.805, 0.884, 0.818], [0.116, 0.818, 0.882, 0.827], [0.117, 0.832, 0.487, 0.84]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "UniBERT-XXSmall, the most compact variant, is constructed with 4 layers, 128 hidden units, and 4 heads, resulting in just 19M parameters and a model size of 74M.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.487, 0.832, 0.881, 0.84], [0.117, 0.848, 0.786, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "This reduction in architectural complexity allows UniBERT-XXSmall to be highly resource-efficient, suiting applications with limited computational resources.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.786, 0.848, 0.88, 0.855], [0.118, 0.861, 0.882, 0.868], [0.117, 0.876, 0.28, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "5This number is truncated during pre-training and fine-tuning depending on the model maximum context window.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.14, 0.9, 0.806, 0.909]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 118, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.493, 0.936, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 12, "global_sentence_id": 119, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.736, 0.045, 0.882, 0.056]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 120, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.149, 0.093, 0.85, 0.376]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 121, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: UniBERT pre-training methodology. Given a sequence of tokens, both UniBERT and mBERT produce a corresponding set of embeddings. The UniBERT embeddings are first used in the masked language modeling task,as in the original mBERT pre-training. Then, those embeddings are averaged out, and a feed-forward layer is used to predict the language of the input sentence. The learning signal from this classifier is used to train the UniBERT model to produce language-independent embeddings adversarially. Finally, the knowledge distillation technique is used to align the probability distributions of the two models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.114, 0.39, 0.886, 0.47]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 122, "edu_l1_label": "EDU_O"}, {"txt": "3.3 Training Process", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.117, 0.497, 0.27, 0.506]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "Figure 2 shows the general pre-training methodology.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.117, 0.523, 0.478, 0.532]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "The training framework involves a novel approach to train a smaller, more efficient BERT-based language model, called UniBERT, through three main techniques: (1)masked language modeling as for the mBERT model, (2) adversarial training using a language discriminator [38] with the loss reversal technique [28], and (3) knowledge distillation with the mBERT model serving as the teacher model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.478, 0.523, 0.882, 0.532], [0.118, 0.54, 0.882, 0.546], [0.117, 0.551, 0.883, 0.559], [0.117, 0.566, 0.822, 0.573]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "3.3.1 Masked Language Modeling", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.116, 0.593, 0.364, 0.604]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 6, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "Masked language modeling (MLM) [2] is a core component of BERT-based models that enables them to learn bidirectional representations of language.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.616, 0.886, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "In MLM, a percentage of tokens within the input sequence are masked randomly, and the model is trained to predict these masked tokens based on the surrounding context.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.616, 0.886, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "Formally,let $x=\\left(x_{1}x_{2}x_{3}\\cdots x_{}\\right)$be an input sequence of tokens,where$x_{i}$represents each token.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.616, 0.886, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "A subset of these tokens,calledxmasked$\\subset $,is replaced by a special token [MASK], and the model optimizes the probability of recovering the original tokens$P\\left(x_{\\text {mk}}\\vert x_{\\backslash \\text {m}}\\right.$ $k)$given the context.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.616, 0.886, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "This choice can be achieved by minimizing the cross-entropy loss over the mased token,s shown in Equation 1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.616, 0.886, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\mathrm {MLM}}=-\\sum _{x_{\\text {masked}}}\\log P\\left(x_{\\text {masked}}\\vert x_{\\backslash \\text {masked}};\\theta _{\\text {student}}\\right)\\tag{1}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.342, 0.729, 0.885, 0.761]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "where$\\theta _{\\text {student}}$ represents the parameters of the student model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.114, 0.765, 0.885, 0.818]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "The MLM objective enables the model to capture contextual dependencies on both sides of a token, effectively learning a bidirectional understanding of language structure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.114, 0.765, 0.885, 0.818]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "In UniBERT, MLM serves as a foundational pre-training task, helping the model learn syntactic and semantic representations that are robust and generalizable across different applications.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.114, 0.765, 0.885, 0.818]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "3.3.2 Adversarial Training", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.117, 0.835, 0.312, 0.845]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 10, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "In UniBERT, adversarial training [38] involves training a language classifier that learns to distinguish between different language inputs, using the average of the embeddings$\\overline {e_{i}}$generated by the student model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.115, 0.859, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "To encourage language invariance, a loss reversal technique is applied, which involves simply reversing the sign of the loss$\\mathcal {L}_{\\text {isc}}$provided by the language discriminator, as shown in Equation 3:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.115, 0.859, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 12, "global_sentence_id": 139, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.735, 0.045, 0.883, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 140, "edu_l1_label": "EDU_O"}, {"txt": "$$y_{i}=FF\\left(\\bar {e}_{i}\\right)\\tag{2}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.453, 0.112, 0.885, 0.128]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 2, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\mathrm {adv}}=-\\sum _{i}y_{i}\\log P\\left(y_{i}\\vert \\bar {e}_{i};\\theta _{\\mathrm {disc}}\\right)\\tag{3}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.387, 0.161, 0.885, 0.188]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 3, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "where $FF$ is the feed-forward layer that produce the language probabilities $y_{i}$ and $\\theta _{\\text {disc}}$ are the parameters of the language discriminator model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.115, 0.202, 0.885, 0.227]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "3.3.3 Knowledge Distillation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.117, 0.25, 0.324, 0.259]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 5, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "Knowledge distillation [12] is a model compression technique in which a smaller model (knownas the student) learns from a larger, pre-trained model (known as the teacher) by approximating its predictions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.118, 0.275, 0.881, 0.285], [0.118, 0.29, 0.714, 0.298]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "In UniBERT, knowledge distillation is implemented by using mBERT as the teacher model, allowing UniBERT to inherit multilingual capabilities from mBERT while maintaining a more compact and efficient structure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.714, 0.29, 0.882, 0.299], [0.118, 0.304, 0.881, 0.312], [0.118, 0.318, 0.592, 0.325]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "The objective of knowledge distillation is to minimize the Kullback-Leibler (KL) divergence between the teacher and student model outputs, as shown in Equation 4:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.592, 0.318, 0.881, 0.325], [0.126, 0.333, 0.881, 0.34], [0.117, 0.344, 0.13, 0.354]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\mathrm {KD}}=\\mathrm {KL}\\left(z_{\\text {teacher}}\\\\ vertz_{\\text {student}}\\right)=-\\sum _{i}z_{\\text {teacher}}^{(i)}\\log \\frac {z_{\\text {teacher}}^{(i)}}{z_{\\text {student}}^{(i)}}\\tag{4}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.319, 0.382, 0.885, 0.421]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 7, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "where$z_{\\text {teacher}}$ and $z_{\\text {student}}$ represent the logits of the teacher and student models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.114, 0.429, 0.885, 0.47]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "This objective aligns the output distribution of the student model with that of the teacher, effectively transferring knowledge without requiring the student to have the same computational complexity as the teacher.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.114, 0.429, 0.885, 0.47]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "3.3.4 Training Objective", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.117, 0.492, 0.297, 0.501]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 9, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "The general training objective for UniBERT combines the objectives of MLM, adversarial training, and knowledge distillation,represented as the weighted sum of the three individual losses, as shown in Equation 5:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.116, 0.518, 0.882, 0.527], [0.117, 0.532, 0.762, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\text {total}}=λ_{\\mathrm {MLM}}\\mathcal {L}_{\\mathrm {MLM}}-λ_{\\mathrm {adv}}\\mathcal {L}_{\\mathrm {adv}}+λ_{\\mathrm {KD}}\\mathcal {L}_{\\mathrm {KD}}\\tag{5}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.358, 0.569, 0.885, 0.587]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "where $\\mathcal {L}_{\\mathrm {MLM}}$,$\\mathcal {L}_{\\mathrm {adv}},$ $\\mathcal {L}_{\\mathrm {KD}}$ are the objectives of MLM, adversarial, and knowledge distillation, respectively, whereas $λ_{\\mathrm {MLM}}$，$λ_{\\mathrm {adv}}$，and 入kD are their corresponding weights. The MLM loss$\\mathcal {L}_{\\mathrm {MLM}}$ enables UniBERT to learn semantic representations by predicting masked tokens from context. In contrast, the adversarial loss$\\mathcal {L}_{\\mathrm {adv}}$encourages the model to be language-agnostic by reversing the gradient of the language classifier. Finally, the knowledge distillation loss $\\mathcal {L}_{\\mathrm {KD}}$allows UniBERT to mimic a larger multilingual BERT model, preserving multilingual capabilities in a mmore compact form. Together, these objectives ensure that UniBERT is both efficient and capable of handling cross-lingual tasks with a high degree of generalization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.595, 0.885, 0.691]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "3.4 Training Hyperparameters", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.117, 0.714, 0.342, 0.724]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 13, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "The UniBERT model was pre-trained for a total of 1M steps with a batchsize of 128, utilizing a learning rate of 5e-4with a linear scheduling approach and an initial warmup period spanning the first 50,000 steps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.116, 0.741, 0.881, 0.75], [0.117, 0.758, 0.722, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "We selected the AdamW optimizer [39] to optimize the stability of the training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.722, 0.758, 0.881, 0.765], [0.117, 0.772, 0.468, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "In addition, gradient clipping [40] was applied with a maximum gradient norm set to 5, effectively preventing large gradient updates.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.468, 0.772, 0.881, 0.778], [0.118, 0.785, 0.577, 0.791]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "A weight decay of 0.01 was used to focus on optimization and improve the primary parameters without penalizing their magnitudes over time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.577, 0.785, 0.881, 0.792], [0.117, 0.799, 0.749, 0.806]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "We set the training objective coefficients for the MLM loss $λ_{\\mathrm {MLM}}$ to 0.5, for the knowledge distillation loss $λ_{\\mathrm {KD}}$ to 0.4,and for the adversarial loss$λ_{\\mathrm {adv}}$to 0.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.817, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "Furthermore, to refine UniBERT's language understanding for the MLM objective, we randomly selected $15\\%$ of tokens for masking, the probability being applied uniformly, ensuring an even distribution between tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.817, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "The MLM loss incorporated label smoothing, set to a factor of 0.7, which helped alleviate overconfidence in predictions by distributing some probability mass across non-target classes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.817, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "Finally, a softmax temperature of 2 was utilized to adjust the output distribution's sharpness, effectively balancing the confidence of the UniBERT models across potential predictions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.817, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 16, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.735, 0.045, 0.883, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 165, "edu_l1_label": "EDU_O"}, {"txt": "4 Evaluation Datasets", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.116, 0.092, 0.312, 0.103]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 2, "global_sentence_id": 166, "edu_l1_label": "BOS"}, {"txt": "To evaluate the UniBERT models, we considered two scenarios:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.116, 0.128, 0.537, 0.136]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": " (1) \"each\" - measuring their performance by training and evaluating each of the individual languages in the dataset, and (2) \"all\" -training the model in all languages and calcuulating the average performance in each language.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.537, 0.128, 0.881, 0.137], [0.117, 0.144, 0.881, 0.15], [0.117, 0.156, 0.469, 0.163]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "Experiments were carried out on four key NLP tasks as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.469, 0.156, 0.884, 0.163]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "·Named Entity Recognition (NER), whose goal is to identify and categorize specific entities within the text, such as people, organizations, and locations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.161, 0.188, 0.881, 0.195], [0.176, 0.201, 0.511, 0.208]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "We evaluated UniBERT on the CoNNLL-2002[41](i.e.,for the Spanish and Dutch languages) and CoNLL-2003 [42] (i.e., the English language6)datasets,which contain entities labeled as PER (person), ORG (organization), LOC (location), and MISC (miscellaneous).The CoNLL-2002 dataset contains approximately 12K sentences in Spanish and 24K sentences in Dutch,while CoNLL-2003 includes around 21K sentences in English.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.511, 0.201, 0.884, 0.209], [0.176, 0.214, 0.775, 0.222], [0.779, 0.213, 0.88, 0.222], [0.176, 0.23, 0.886, 0.235], [0.176, 0.241, 0.886, 0.251], [0.176, 0.257, 0.578, 0.264]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "Performance was measured using the F1-score,which balances precision and recall for entity categorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.578, 0.257, 0.886, 0.265], [0.175, 0.27, 0.572, 0.277]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "·Natural Language Inference (NLI), whose goal is to assess the model's ability to understand relationships between pairs of sentences, classifying each as entailment, contradiction, or neutral.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.161, 0.295, 0.882, 0.302], [0.175, 0.307, 0.712, 0.316]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "We used the Cross-lingual Natural Language Inference (XNLI) dataset [43], which includes about 400K sentence pairs for each of the 15available languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.712, 0.307, 0.88, 0.316], [0.176, 0.32, 0.881, 0.329], [0.175, 0.336, 0.312, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "We used the F1-score as the primary evaluation metric, which balances precision and recall for sentence classification.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.312, 0.336, 0.881, 0.343], [0.176, 0.35, 0.39, 0.357]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "·Question Answering (QA, which measures the ability of the models to provide answers based on a provided context.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.161, 0.374, 0.882, 0.38], [0.176, 0.388, 0.232, 0.4]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "We evaluated UniBERT models on the MultiLingual Question Answering (MLQA) dataset [44],which consists of more than 90K context-question-answer triplets in seven languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.232, 0.388, 0.884, 0.395], [0.175, 0.402, 0.739, 0.408]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "Each input includes a context paragraph and a question, with the goal of identifying the correct text span as the answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.739, 0.402, 0.881, 0.408], [0.175, 0.416, 0.794, 0.422]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "We measured performance using F1-scores for partial matches.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.794, 0.416, 0.882, 0.422], [0.175, 0.429, 0.495, 0.435]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "·Semantic Textual Similarity (STS), which measures the degree of semantic similarity between sentence pairs, rated on a scale from 0 (no similarity) to 5 (high similarity).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.159, 0.45, 0.886, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "We used the SemEval-2022 Task 8(STS22) dataset [45], which provides over 9K sentence pairs with human-annotated similarity scores in ten languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.159, 0.45, 0.886, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "Additionally, because thisdataset contains samples with the two sentences in different languages,we differentiate between fine-tuning the model on the whole dataset, which includes the samples in different languages (case called$\"a$1\" in this paper) and fine-tuning the model only on the samples that contain sentences in the same language (case called \"mono\" in this paper).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.159, 0.45, 0.886, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "We evaluated the UniBERT performance using the Pearson correlation coefficient [46], reflecting the alignment between predicted scores and human judgments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.159, 0.45, 0.886, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "Furthermore, we compared the performance of the UniBERT models in these tasks with well-known baselines in the literature:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.117, 0.578, 0.881, 0.586], [0.117, 0.592, 0.184, 0.6]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": " mBERT-base, Distil-mBERT-base, and XLM-RoBERTa (base and large variants).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.184, 0.592, 0.718, 0.6]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "5 Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.116, 0.632, 0.207, 0.643]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 186, "edu_l1_label": "BOS"}, {"txt": "5.1 Named Entity Recognition", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.116, 0.667, 0.338, 0.676]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "Table 2 summarizes the F1-scores achieved on the CoNLL-2002 and CoNLL-2003 datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.694, 0.886, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "The results are somewhat mixed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.694, 0.886, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "Among the baseline models, XLM-RoBERTa-large achieves the highest performance when individually fine-tuned,reaching F1-scores of$92.70\\%$ (en),$90.05\\%$ (es), and $93.35\\%$ (nl), for an overall average of$92.03\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.694, 0.886, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "In contrast,when trained jointly in all languages, its performance drops slightly (i.e., to $91.82\\%$,$88.45\\%$, and 91.77 for an average of $90.67\\%$).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.694, 0.886, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "Similarly, mBERT-base and XLM-RoBERTa-base show marginally lower scores in the \"all\" configuration than their \"each\" counterparts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.694, 0.886, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "The proposed UniBERT models, while inherently more compact, display an interesting trend.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.115, 0.783, 0.886, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "For instance, UniBERT-Small achieves an average F1-score of $83.25\\%$ when individually fine-tuned, but this improves to $84.40\\%$ under joint multilingual training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.115, 0.783, 0.886, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "A similar improvement is observed for the even smaller UniBERT-XSmall and UniBERT-XXSmall models, with average scores increasing from $77.25\\%$ to $78.80\\%$ and from $71.64\\%$ to $74.00\\%$, respectively.These gains suggest that the joint training strategy effectively mitigates some of the capacity limitations inherent to more compact architectures, particularly for non-English languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.115, 0.783, 0.886, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "6The German subset is not available for public usage, so we did not evaluate the performance of the UniBERT models on this language.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.137, 0.885, 0.884, 0.896], [0.117, 0.901, 0.174, 0.909]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 13, "global_sentence_id": 196, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.493, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 14, "global_sentence_id": 197, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.737, 0.045, 0.882, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 198, "edu_l1_label": "EDU_O"}, {"txt": "Table 2: Results of NER on the CoNLL-2002 and CoNLL-2003 datasets. We report the F1-score of the models that were fine-tuned for each language (i.e., case \"each\") and for all languages at the same time (i.e.,case\"all\"),evaluated on each language, together with the average F1-score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.115, 0.09, 0.885, 0.128]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 199, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.255, 0.142, 0.739, 0.4]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 200, "edu_l1_label": "EDU_O"}, {"txt": "Table 3: Results on XNLI. We report the F1-score of the models that were fine-tuned for each language (i.e., case \"each\") and for all languages at the same time (i.e., case \"all\"), evaluated on each language, together with the average F1-score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.114, 0.444, 0.885, 0.483]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 201, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.12, 0.485, 0.88, 0.653]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 5, "global_sentence_id": 202, "edu_l1_label": "EDU_O"}, {"txt": "5.2 Natural Language Inference", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.116, 0.706, 0.35, 0.716]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "Table 3 presents the F1-scores on the XNLI dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.116, 0.741, 0.458, 0.75]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "The results are somewhat mixed on the NLI task, with the larger models leading overall performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.458, 0.741, 0.883, 0.75], [0.117, 0.758, 0.364, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "For instance, XLM-RoBERTa-large achieves an average F1-score of 82.29%when fine-tuned independently in each language, which further increases to 83.30% in joint multilingual training.Likewise,XLM-RoBERTa-base shows a notable improvement from 75.18% to 79.04% when switching from individual to joint training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.364, 0.758, 0.881, 0.764], [0.117, 0.771, 0.886, 0.778], [0.116, 0.783, 0.882, 0.792], [0.117, 0.798, 0.23, 0.806]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "In contrast, mBERT-base exhibits a moderate increase of an average of 72.64% to 73.37%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.23, 0.798, 0.844, 0.806]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Also,Distil-mBERT-base remains relatively stable with averages of 67.68% (i.e., case \"each\"):and 67.74% (i.e.,case \"all\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.844, 0.798, 0.886, 0.806], [0.117, 0.811, 0.696, 0.818], [0.694, 0.812, 0.882, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "Our UniBERT variants, although more compact, benefit appreciably from the joint training strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.118, 0.831, 0.797, 0.84]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "The average F1-score of UniBERT-Small increases from 61.52% in the \"each\" setting to 65.69% when all languages are considered at once.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.797, 0.831, 0.88, 0.84], [0.117, 0.845, 0.884, 0.854], [0.117, 0.861, 0.154, 0.867]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "The smaller UniBERT-XSmall and UniBERT-XXSmall modelsexperience even more pronounced improvements,with their average F1-scores rising from 54.36% to 61.28%, and from 48.07% to 54.45%, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.154, 0.861, 0.886, 0.868], [0.118, 0.874, 0.798, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "These gains,which range roughly between 4% and 7%, suggest that sharing cross-lingual representations during fine-tuning is especially beneficial for smaller models, helping compensate for their reduced capacity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.798, 0.874, 0.886, 0.882], [0.118, 0.888, 0.882, 0.895], [0.117, 0.902, 0.689, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.737, 0.045, 0.882, 0.056]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": "Table 4: Results on MLQA. We report the F1-score of the models that were fine-tuned for each language (i.e.,case \"each\") and for all languages at the same time (i.e., case \"all\"), evaluated on each language, together with the average F1-score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.115, 0.098, 0.885, 0.136]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.145, 0.14, 0.852, 0.396]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 216, "edu_l1_label": "EDU_O"}, {"txt": "5.3 Question Answering", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.116, 0.444, 0.295, 0.455]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "Table 4 reports the F1-scores on the MLQA dataset for each model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.477, 0.885, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "The baseline models consistently outperform in absolute terms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.477, 0.885, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "For example, XLM-RoBERTa-large achieves an average F1-score of $63.51\\%$ when individually fine-tuned, which further improves to $64.85\\%$under joint training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.477, 0.885, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "Similarly, XLM-RoBERTa-base records average scores of $58.93\\%$(i.e.,case \"each\") and $59.97\\%$(i.e., case \"all\"), mBERT-base reaches $57.86\\%$ (i.e., case \"each\") and $59.21\\%$(i.e., case \"all\"), while Distil-mBERT-base achieves $51.95\\%$(i.e., case \"each\") and $55.21\\%$ (i.e., case \"all\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.477, 0.885, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Our proposed UUniBERT models, despite their reduced parameter count, benefit noticeably from joint multilingual fine-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.114, 0.553, 0.886, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "UniBERT-Small, for example, sees its average F1-score rise from $42.87\\%$ to $44.59\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.114, 0.553, 0.886, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "The improvements are even more pronounced for smaller variants: UniBERT-XSmall increases from $28.43\\%$ to $36.53\\%$, and UniBERT-XXSmall from $17.57\\%$ to $21.33\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.114, 0.553, 0.886, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "These enhancements, which range from approximately $2\\%$ to more than $8\\%$,highlight the advantages of using cross-lingual data during training, particularly for models with limited capacity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.114, 0.553, 0.886, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "5.4 Semantic Textual Similarity", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.117, 0.66, 0.348, 0.672]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "Table 5 presents the Pearson correlation coefficients obtained on the STS22 dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.116, 0.694, 0.65, 0.703]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "In this evaluation, we consider three training configurations: fine-tuning on each language individually (i.e., case \"each\"), on all the monolingual subsets simultaneously (i.e., case \"mono\"), and on the entire dataset that includes cross-lingual samples (i.e., case\"all\").Note that results are provided only for the \"all\" and \"mono\" settings for Chinese, Russian, and Italian (i.e., languages for which just a test set is available).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.65, 0.694, 0.882, 0.703], [0.117, 0.708, 0.883, 0.715], [0.118, 0.723, 0.801, 0.729], [0.807, 0.722, 0.881, 0.729], [0.118, 0.735, 0.882, 0.744], [0.117, 0.751, 0.332, 0.757]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "Among the baseline models, mBERT-base achieves an average coefficient of 0.674 when fine-tuned on each language individually.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.114, 0.769, 0.887, 0.836]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "Its performance improves to 0.723 with monolingual training and settles to 0.710 when including cross-lingual data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.114, 0.769, 0.887, 0.836]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "Similarly, XLM-RoBERTa-large obtains average scores of 0.628, 0.737, and 0.743 in the \"each\",\"mono\",and$\"a$settings,respectively,suggesting that joint training, especially when leveraging cross-lingual samples,can boost semantic similarity performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.114, 0.769, 0.887, 0.836]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "In contrast, the UniBERT variants, while more compact, show lower overall correlations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.117, 0.845, 0.687, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "For example, UniBERT-Small records an average of 0.547 in the \"each\" configuration, increasing to 0.614 with monolingual training and 0.624when cross-lingual examples are included.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.687, 0.845, 0.882, 0.854], [0.117, 0.861, 0.881, 0.867], [0.117, 0.874, 0.399, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "UniBERT-XSmall and UniBERT-XXSmall follow a similar pattern, with their average coefficients increasing by approximately 0.07-0.08 points when moving from individual to joint training strategies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.399, 0.874, 0.88, 0.881], [0.117, 0.887, 0.881, 0.896], [0.118, 0.902, 0.185, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.493, 0.936, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 11, "global_sentence_id": 235, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.735, 0.045, 0.883, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 236, "edu_l1_label": "EDU_O"}, {"txt": "Table 5: Results on the STS22 dataset. We report the Pearson correlation coefficients of the models fine-tuned on each language (i.e., case \"each\"), on all the monolingual subsets at the same time (i.e., case \"mono\"), and on the whole dataset, which includes cross-lingual samples (i.e., case \"all\"), evaluated on each language, together with the average Pearson correlation coefficient. The Italian, Russian, and Chinese languages provide only the test set, so we do not give any results on the \"each\" category for them.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.115, 0.119, 0.885, 0.188]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 237, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.117, 0.186, 0.877, 0.497]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 238, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.159, 0.559, 0.85, 0.845]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 239, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: Relative mean improvements in UniBERT and other models when trained on individual languages (i.e.\"each\")as opposed to all languages (i.e.\"all\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.115, 0.861, 0.885, 0.887]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 240, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 6, "global_sentence_id": 241, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.737, 0.045, 0.883, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 242, "edu_l1_label": "EDU_O"}, {"txt": "5.5 Discussion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.116, 0.094, 0.222, 0.103]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "The results indicate that the multilingual training strategy, in conjunction with the adversarial objective, has a pronounced impact on overall performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.114, 0.12, 0.886, 0.225]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "Figure 3 illustrates the relative improvements achieved by each model when transitioning from individual language fine-tuning (denoted as \"each\") to joint multilingual fine-tuning (denoted as$\"a\")7$.mBERT-base, Distil-mBERT-base, and the XLM-RoBERTa versions exhibit a moderate average relative improvement of approximately $1.17\\%$: $1.51\\%$ for Distil-mBERT-base,$0.62\\%$ for mBERT-base,$2.11\\%$ for XLM-RoBERTa-base,and $0.44\\%$ for XLM-RoBERTa-large.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.114, 0.12, 0.886, 0.225]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "In contrast, UniBERT models indicate significantly greater gains, with an average relative improvement of $7.72\\%$: $3.76\\%$ for UniBERT-small,$10.33\\%$ for uniBERT-XSmall, and $9.08\\%$ for UniBERT-XXSmall.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.114, 0.12, 0.886, 0.225]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "This significant difference suggests that the adversarial training component, which promotes the learning of language-agnostic representations, is particularly effective when combined with joint multilingual training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.114, 0.236, 0.886, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 247, "edu_l1_label": "IOS"}, {"txt": "For example, the UniBERT-XSmall model improves from $40.20\\%$ in the \"each\" configuration to $44.35\\%$ in the \"\"all\"\"configuration,and the UniBERT-XXSmall model similarly increases from $34.51\\%$ to $37.64\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.114, 0.236, 0.886, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 248, "edu_l1_label": "IOS"}, {"txt": "Such improvements are notably higher than those observed in larger models, where the increase is relatively modest (e.g., XLM-RoBERTa-base and XLM-RoBERTa-large improve by less than 1.2 and 0.3 percentage points, respectively).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.114, 0.236, 0.886, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "Furthermore, a statistical t-test resulted in a t-statistic of 2.715 with a p-value of 0.0181 when comparing the relative improvements between the UniBERT models (12 entries, average improvement of $7.72\\%$) and the other models (16entries, average improvement of $1.17\\%$).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.115, 0.326, 0.885, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "The observed differences are statistically significant because the $P$ value is lower than the significance threshold of$α=0$ $05$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.115, 0.326, 0.885, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "This analysis underscores that combining joint multilingual training with the adversarial objective enhances absolute performance and significantly benefits models with limited capacity by effectively leveraging cross-lingual representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.115, 0.326, 0.885, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "6 Conclusion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.117, 0.431, 0.239, 0.442]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 253, "edu_l1_label": "BOS"}, {"txt": "In this paper, we provide UniBERT, a multilingual language model that employs a novel training framework consisting of masked language modeling, adversarial training, and knowledge distillation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.462, 0.886, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "Our extensive evaluations of four NLP tasks (i.e., named entity recognition, natural language inference, question answering, and semantic textual similarity) demonstrate that the proposed approach achieves competitive performance relative to established baselines and benefits significantly from joint multilingual training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.462, 0.886, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "The UniBERT variants, for example, obtained an average relative improvement of$7.72\\%$ between tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.462, 0.886, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "However, the larger baseline models showed an improvement of$1.17\\%$.Integrating the adversarial objective has proven particularly effective in fostering language-invariant representations,enhancing cross-lingual generalization, and producing statistically significant gains (i.e., p-valu$\\mathrm {}=0$.0181)over models trained in individual languages when trained jointly on multilingual data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.462, 0.886, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "The promising results of UniBERT underscore the potential of our methodology in addressing the challenges associated with multilingual processing in resource-constrained settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.116, 0.594, 0.881, 0.602], [0.117, 0.609, 0.511, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "Although our model achieves a favorable balance between efficiency and performance, there remains ample scope for future work, including further refinement of adversarial strategies, exploration of alternative distillation techniques, and extension to additional languages and domains.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.511, 0.609, 0.881, 0.616], [0.117, 0.623, 0.882, 0.629], [0.118, 0.637, 0.83, 0.643]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "Overall,the contributions of this work provide a robust foundation for fuiture research in efficient multilingual modeling and adaptable and scalable NLP systems.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.83, 0.637, 0.886, 0.648], [0.118, 0.65, 0.882, 0.657], [0.117, 0.665, 0.359, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "7 Limitations", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.116, 0.697, 0.243, 0.708]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 261, "edu_l1_label": "BOS"}, {"txt": "Despite the promising results achieved by UniBERT, our approach has certain limitations, primarily due to computational constraints that influenced our model design choices.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.117, 0.729, 0.882, 0.738], [0.117, 0.746, 0.478, 0.752]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "To ensure feasibility with available resources, we opted for compact architectures with fewer parameters than the larger models used for comparison.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.478, 0.746, 0.882, 0.753], [0.117, 0.759, 0.699, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "Although this design allows efficiency and scalability, it limits the model's capacity to learn and retain complex linguistic representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.699, 0.759, 0.881, 0.765], [0.117, 0.772, 0.85, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "As a result, UniBERT exhibits lower absolute performance, particularly in tasks that require deep contextual understanding,such as question answering and semantic textual similarity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.85, 0.772, 0.881, 0.78], [0.117, 0.787, 0.886, 0.794], [0.118, 0.801, 0.519, 0.807]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "However, our findings indicate that joint multilingual training and adversarial learning effectively compensate for reduced capacity, allowing UniBERT to achieve competitive results despite its smaller size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.519, 0.801, 0.882, 0.807], [0.118, 0.814, 0.881, 0.821], [0.117, 0.828, 0.317, 0.835]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "Although adversarial training and multilingual learning help mitigate the drawbacks of a compact model, they do not eliminate the inherent limitations of reduced parameterization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.117, 0.847, 0.881, 0.855], [0.117, 0.862, 0.566, 0.869]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "Larger models retain an advantage in absolute performance due to their ability to capture more intricate linguistic structures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.566, 0.862, 0.881, 0.869], [0.117, 0.877, 0.638, 0.883]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "However, ouir methodology remains", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.638, 0.877, 0.882, 0.883]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "⁷Since the score on the STS isbetween 0 and 1, we normalized it before calculating the mean relative improvement.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.137, 0.898, 0.818, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 270, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.492, 0.938, 0.508, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 13, "global_sentence_id": 271, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.737, 0.045, 0.882, 0.055]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": "fundamentally sound, demonstrating that efficient multilingual training strategies can yield strong cross-lingual generalization even with fewer resources.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.117, 0.095, 0.882, 0.102], [0.117, 0.111, 0.402, 0.117]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "This balance between efficiency and performance makes UniBERT a compellingsolution for resource-constrained applications.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.402, 0.111, 0.881, 0.117], 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["title"], "label": "reference", "web_segment_id": 5, "global_sentence_id": 279, "edu_l1_label": "EDU_O"}, {"txt": "[1] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.13, 0.297, 0.881, 0.306], [0.153, 0.31, 0.262, 0.319]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 280, "edu_l1_label": "EDU_O"}, {"txt": "Attention is all you need.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.262, 0.31, 0.433, 0.319]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 281, "edu_l1_label": "EDU_O"}, {"txt": "Advances in neural information processing systems, 30,2017.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.433, 0.31, 0.841, 0.319]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 282, "edu_l1_label": "EDU_O"}, {"txt": "[2] Jacob Devlin, Ming-Wei Chang,Kenton Lee, and Kristina Toutanova.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.127, 0.33, 0.613, 0.34]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 283, "edu_l1_label": "EDU_O"}, {"txt": "BERT: Pre-training of deep bidirectional transformers for language understanding.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.613, 0.33, 0.882, 0.34], [0.153, 0.347, 0.417, 0.354]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 284, "edu_l1_label": "EDU_O"}, {"txt": "In Jill Burstein, Christy Doran, and Thamar Solorio, editors,Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4171-4186,Minneapolis, Minnesota, June 2019.Association for Computational Linguistics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.417, 0.347, 0.882, 0.353], [0.152, 0.36, 0.88, 0.367], [0.152, 0.372, 0.881, 0.381], [0.152, 0.386, 0.476, 0.395]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 285, "edu_l1_label": "EDU_O"}, {"txt": "[3] Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen,Omer Levy,Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.126, 0.405, 0.881, 0.414], [0.152, 0.419, 0.391, 0.427]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 286, "edu_l1_label": "EDU_O"}, {"txt": "Roberta: A robustly optimized bert pretraining approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.391, 0.419, 0.782, 0.427]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 287, "edu_l1_label": "EDU_O"}, {"txt": "arXiv preprint arXiv:1907.11692,2019.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.782, 0.419, 0.882, 0.428], [0.152, 0.436, 0.318, 0.442]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 288, "edu_l1_label": "EDU_O"}, {"txt": "[4] Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.125, 0.452, 0.641, 0.461]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 9, "global_sentence_id": 289, "edu_l1_label": "EDU_O"}, {"txt": "Electra: Pre-training text encoders as discriminators rather than generators.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.641, 0.452, 0.882, 0.461], [0.152, 0.467, 0.398, 0.475]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 9, "global_sentence_id": 290, "edu_l1_label": "EDU_O"}, {"txt": "arXiv preprint arXiv:2003.10555,2020.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.398, 0.467, 0.664, 0.475]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 9, "global_sentence_id": 291, "edu_l1_label": "EDU_O"}, {"txt": "[5] Alexis Conneau, Kartikay Khandelwal, 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8440-8451,Online,July 2020.Association for Computational Linguistics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.266, 0.514, 0.881, 0.523], [0.153, 0.528, 0.884, 0.537], [0.152, 0.542, 0.433, 0.55]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 10, "global_sentence_id": 294, "edu_l1_label": "EDU_O"}, {"txt": "[6] Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.124, 0.561, 0.88, 0.57], [0.153, 0.575, 0.245, 0.584]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 295, "edu_l1_label": "EDU_O"}, {"txt": "mT5: A massively multilingual pre-trained text-to-text transformer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.245, 0.575, 0.721, 0.584]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 296, "edu_l1_label": "EDU_O"}, {"txt": "In Kristina Toutanova,Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tur, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty,and Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 483-498,Online,June 2021.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.721, 0.575, 0.884, 0.585], [0.152, 0.59, 0.881, 0.599], [0.152, 0.602, 0.883, 0.612], [0.152, 0.617, 0.881, 0.625], [0.153, 0.63, 0.191, 0.639]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 297, "edu_l1_label": "EDU_O"}, {"txt": "Association for Computational Linguistics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.191, 0.63, 0.476, 0.639]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 11, "global_sentence_id": 298, "edu_l1_label": "EDU_O"}, {"txt": "[7] Chihiro Yano, Akihiko Fukuchi, Shoko Fukasawa, Hideyuki Tachibana, and Yotaro Watanabe.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.127, 0.649, 0.792, 0.658]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 12, "global_sentence_id": 299, "edu_l1_label": "EDU_O"}, {"txt": "Multilingual sentence-t5: Scalable sentence encoders for multilingual applications.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.792, 0.649, 0.882, 0.657], [0.153, 0.666, 0.611, 0.672]]}]}, "tags": ["text"], "label": "reference", 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# UNIBERT: ADVERSARIAL TRAINING FORLANGUAGE-UNIVERSAL REPRESENTATIONS ## ABSTRACT ## 1 Introduction ## 2 Related Work ### 2.1 Multilingual Language Models ### 2.2 Adversarial Training ## 3 UniBERT ### 3.1 Training Data ### 3.2 Model Architecture ### 3.3 Training Process #### 3.3.1 Masked Language Modeling #### 3.3.2 Adversarial Training #### 3.3.3 Knowledge Distillation #### 3.3.4 Training Objective ### 3.4 Training Hyperparameters ## 4 Evaluation Datasets ## 5 Results ### 5.1 Named Entity Recognition ### 5.2 Natural Language Inference ### 5.3 Question Answering ### 5.4 Semantic Textual Similarity ### 5.5 Discussion ## 6 Conclusion ## 7 Limitations
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{"entry_id": "71cdddc5-49f0-4db0-976d-b0f702918311", "infos": [{"txt": "未及时更新实缴资本增加、股东变更信息，上海某私募被暂停产品备案12个月！", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "未及时更新实缴资本增加、股东变更信息，上海某私募被暂停产品备案12个月！", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " 未及时更新实缴资本增加、股东变更信息，上海某私募被暂停产品备案12个月！", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "\n \n未及时更新实缴资本增加、股东变更信息，上海某私募被暂停产品备案12个月！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/15jUP51uNIrv3V1zmc4sdmSw.webp", "language": "chinese", "position": {"atoms": [{"position_id": 51, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/15jUP51uNIrv3V1zmc4sdmSw.webp", "x": 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# 未及时更新实缴资本增加、股东变更信息，上海某私募被暂停产品备案12个月！ ## 中基协处分（2024）556号纪律处分决定书 ### 当事人：上海F*投资管理有限公司（以下简称上海F*） ### 一、事先告知情况 #### （一）管理未备案产品 #### （二）未及时更新登记信息 #### （三）未按合同约定进行信息披露 #### （四）未准确、完整提供检查所需材料 ### 二、审理意见与处分决定
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# 【撤回】康宁撤回对TCL华星光电等公司的337调查申请；微软宣布今年停用Skype 专注于免费平台Microsoft Teams ## 1.康宁撤回对TCL华星光电等公司针对液晶显示器玻璃基板的337调查申请； ## 2.微软宣布2025年停用Skype，专注于免费平台Microsoft Teams； ## 3.2月新车交付量：小鹏破3万台，蔚来同比增长62.2%，小米超2万台；
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# 智元稚晖君在总理座谈会发言，长城汽车与宇树科技展开合作--人形机器人行业日度跟踪 ## 行业动态 ### 山东省机器人行业协会正式成立，珞石（山东）机器人集团股份有限公司董事长庹华担任首任会长 ### 全球首个人形机器人半程马拉松比赛将在北京举行，助力攻克持久力、路径规划、通信及信号处理等技术难题 ## 公司动态 ### 智元机器人：李强主持召开经济形势专家和企业家座谈会，彭志辉参加并作为企业家代表进行发言 ### 深开鸿：发布全国首个基于开源鸿蒙的分布式异构多机协同机器人操作系统-M-Robots OS 1.0 ### 千寻位置：发布机器人时空智能三体开发套件SpatiX，为机器人输出精准可靠的位置信息 ### 宇树机器人：与长城汽车签署合作协议，围绕具身智能底层技术、“车＋机器人”场景创新、整车智造升级展开合作 ## 核心指标 ## 投资建议 ## 风险提示
e19591be-3c06-4fa9-bbbe-f586140ff35a
web
test/raw_web_htmls/e19591be-3c06-4fa9-bbbe-f586140ff35a.html
https://mp.weixin.qq.com/s/Yiik4esPl2otYc-CV9sT8Q
{"entry_id": "e19591be-3c06-4fa9-bbbe-f586140ff35a", "infos": [{"txt": "2024年教育行业融资风向报告，创投圈的钱都去哪了？", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "2024年教育行业融资风向报告，创投圈的钱都去哪了？", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " 2024年教育行业融资风向报告，创投圈的钱都去哪了？", "language": "chinese", "position": {"atoms": [{"position_id": 183, "txt": "\n \n2024年教育行业融资风向报告，创投圈的钱都去哪了？", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1sRQ5U4hrQ3AMsIsZU5W5.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 54, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1sRQ5U4hrQ3AMsIsZU5W5.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[1]/img"}]}, 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"x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[2]/span"}]}, "tags": [], "label": "introduction", "web_segment_id": 41, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "全年融资总额虽有所下降，但细分领域呈现出结构性变化：", "language": "chinese", "position": {"atoms": [{"position_id": 189, "txt": "全年融资总额虽有所下降，但细分领域呈现出结构性变化：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[2]/span"}]}, "tags": [], "label": "introduction", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "技术驱动和政策利好的赛道表现强劲，传统领域则逐渐淡出主流视野。", "language": "chinese", "position": {"atoms": [{"position_id": 190, "txt": "技术驱动和政策利好的赛道表现强劲，传统领域则逐渐淡出主流视野。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[2]/span"}]}, "tags": [], "label": "introduction", "web_segment_id": 41, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "黑板洞察详细梳理了2024年全年 教育行业已经披露的投融资数据，试图分析2024年教育行业融资的新风向。", "language": "chinese", "position": {"atoms": [{"position_id": 191, "txt": "黑板洞察详细梳理了2024年全年 教育行业已经披露的投融资数据，试图分析2024年教育行业融资的新风向。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[2]/span"}]}, "tags": [], "label": "introduction", "web_segment_id": 41, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "（注：", "language": "chinese", "position": {"atoms": [{"position_id": 193, "txt": "（注：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "按照惯例未披露融资额的事件未统计金额。", "language": "chinese", "position": {"atoms": [{"position_id": 194, "txt": "按照惯例未披露融资额的事件未统计金额。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "为了方便统计，我们对金额按照取中间数值的规则来计算——数百万融资取300万来计算；", "language": "chinese", "position": {"atoms": [{"position_id": 195, "txt": "为了方便统计，我们对金额按照取中间数值的规则来计算——数百万融资取300万来计算；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "数千万融资取3000万来计算；", "language": "chinese", "position": {"atoms": [{"position_id": 196, "txt": "数千万融资取3000万来计算；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "另外，保守起见，近千万融资我们取600万来计算，近千万美元则取600万美元即3600万人民币来计算；", "language": "chinese", "position": {"atoms": [{"position_id": 197, "txt": "另外，保守起见，近千万融资我们取600万来计算，近千万美元则取600万美元即3600万人民币来计算；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "千万级指1000万；", "language": "chinese", "position": {"atoms": [{"position_id": 198, "txt": "千万级指1000万；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "近亿元指6000万；", "language": "chinese", "position": {"atoms": [{"position_id": 199, "txt": "近亿元指6000万；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "上亿元指的是1亿元。", "language": "chinese", "position": {"atoms": [{"position_id": 200, "txt": "上亿元指的是1亿元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "附：", "language": "chinese", "position": {"atoms": [{"position_id": 201, "txt": "附：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "融资时间以媒体披露时间计算）", "language": "chinese", "position": {"atoms": [{"position_id": 202, "txt": "融资时间以媒体披露时间计算）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h5/span"}]}, "tags": ["h5"], "label": "content", "web_segment_id": 42, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "行业总体概览", "language": "chinese", "position": {"atoms": [{"position_id": 204, "txt": "行业总体概览", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h2/span"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 43, "global_sentence_id": 19, "edu_l1_label": "BOS"}, {"txt": "1. 近四年教育行业融资事件数量及金额", "language": "chinese", "position": {"atoms": [{"position_id": 206, "txt": "1. 近四年教育行业融资事件数量及金额", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h3[1]/span"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 44, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2Al87kizInx4lTqnm19ntNX.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 69, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2Al87kizInx4lTqnm19ntNX.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[4]/span/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 45, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "近四年教育行业融资事件数量及金额呈现出持续下降的趋势，从2021年的高点逐年下滑至2024年的低位，反映了行业在政策收紧和市场调整中的深刻变革。", "language": "chinese", "position": {"atoms": [{"position_id": 208, "txt": "近四年教育行业融资事件数量及金额呈现出持续下降的趋势，从2021年的高点逐年下滑至2024年的低位，反映了行业在政策收紧和市场调整中的深刻变革。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "这一变化主要受“双减”政策影响，传统K12赛道的融资热度大幅下降，同时资本对大规模投资的审慎态度也导致整体融资金额大幅缩减。", "language": "chinese", "position": {"atoms": [{"position_id": 209, "txt": "这一变化主要受“双减”政策影响，传统K12赛道的融资热度大幅下降，同时资本对大规模投资的审慎态度也导致整体融资金额大幅缩减。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "然而，这一趋势并非意味着教育行业的全面衰退，而是表明市场正从规模驱动向价值驱动转型。", "language": "chinese", "position": {"atoms": [{"position_id": 210, "txt": "然而，这一趋势并非意味着教育行业的全面衰退，而是表明市场正从规模驱动向价值驱动转型。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "随着职业教育、企业服务和AI驱动的教育技术赛道崛起，资本正向政策支持和技术创新领域倾斜，为教育行业注入新的发展动力。", "language": "chinese", "position": {"atoms": [{"position_id": 211, "txt": "随着职业教育、企业服务和AI驱动的教育技术赛道崛起，资本正向政策支持和技术创新领域倾斜，为教育行业注入新的发展动力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "未来，融资活动或将更加聚焦于高质量、精细化和可持续发展的项目，助力行业迈向创新驱动的新阶段。", "language": "chinese", "position": {"atoms": [{"position_id": 212, "txt": "未来，融资活动或将更加聚焦于高质量、精细化和可持续发展的项目，助力行业迈向创新驱动的新阶段。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "2. 2024年教育行业各月融资情况概览", "language": "chinese", "position": {"atoms": [{"position_id": 214, "txt": "2. 2024年教育行业各月融资情况概览", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h3[2]/span"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 47, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2bu8FWtylbASlpc74nLWFX.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 76, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2bu8FWtylbASlpc74nLWFX.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[6]/span/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 48, "global_sentence_id": 28, "edu_l1_label": "EDU_O"}, {"txt": "经过梳理，2024年教育行业总共发生了49融资事件，融资总金额为10.3亿元人民币。", "language": "chinese", "position": {"atoms": [{"position_id": 216, "txt": "经过梳理，2024年教育行业总共发生了49融资事件，融资总金额为10.3亿元人民币。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "从月融资事件数量看，4月、7月、11月和12月这四个月份的融资频次相对较高。", "language": "chinese", "position": {"atoms": [{"position_id": 217, "txt": "从月融资事件数量看，4月、7月、11月和12月这四个月份的融资频次相对较高。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "其中，4月有8起融资发生，12月有6起融资事件发生，7月、11月两个月份则各融资 5 起。", "language": "chinese", "position": {"atoms": [{"position_id": 218, "txt": "其中，4月有8起融资发生，12月有6起融资事件发生，7月、11月两个月份则各融资 5 起。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "从月融资金额来看，5月、8月、12月三个月份的融资金额相对较高，分别为 2.23亿元、1.89亿元、1.73亿元。", "language": "chinese", "position": {"atoms": [{"position_id": 219, "txt": "从月融资金额来看，5月、8月、12月三个月份的融资金额相对较高，分别为 2.23亿元、1.89亿元、1.73亿元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "3. 2024年教育行业融资轮次分布及占比", "language": "chinese", "position": {"atoms": [{"position_id": 221, "txt": "3. 2024年教育行业融资轮次分布及占比", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/h3[3]/span"}]}, "tags": ["h3"], 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# 2024年教育行业融资风向报告，创投圈的钱都去哪了？ ## 导语 ## 行业总体概览 ### 1. 近四年教育行业融资事件数量及金额 ### 2. 2024年教育行业各月融资情况概览 ### 3. 2024年教育行业融资轮次分布及占比 ### 4. 2024年教育行业融资地域分布 ### 5. 2024年教育行业融资体量分布 ### 6. 2024年教育行业融资事件TOP 5 ### 7. 2024年教育行业各细分领域融资频次 ## 结语
af6e911a-6588-4aa3-b898-9816719bed2d
web
test/raw_web_htmls/af6e911a-6588-4aa3-b898-9816719bed2d.html
https://www.midifan.com/modulenews-detailview-54312.htm
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"/html/body/section/main/section/section[1]/div[5]/div[3]/form/div/div[3]/div[1]/div[1]/label"}]}, "tags": [], "label": "O", "web_segment_id": 56, "global_sentence_id": 24, "edu_l1_label": "EDU_O"}, {"txt": "密码", "language": "chinese", "position": {"atoms": [{"position_id": 231, "txt": "密码", "x": "/html/body/section/main/section/section[1]/div[5]/div[3]/form/div/div[3]/div[1]/div[2]/label"}]}, "tags": [], "label": "O", "web_segment_id": 57, "global_sentence_id": 25, "edu_l1_label": "EDU_O"}, {"txt": "匿名发表", "language": "chinese", "position": {"atoms": [{"position_id": 233, "txt": "匿名发表", "x": "/html/body/section/main/section/section[1]/div[5]/div[3]/form/div/div[3]/label/span"}]}, "tags": [], "label": "O", "web_segment_id": 54, "global_sentence_id": 26, "edu_l1_label": "EDU_O"}, {"txt": "<img img", "language": "chinese", "position": {"atoms": [{"position_id": 163, "txt": "<img img", "x": "/html/body/section/main/section/section[1]/div[5]/div[3]/form/div/div[3]/div[2]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 58, "global_sentence_id": 27, "edu_l1_label": "EDU_O"}, {"txt": "Native Instruments 相关新闻", "language": "chinese", "position": {"atoms": [{"position_id": 235, "txt": "Native Instruments 相关新闻", "x": "/html/body/section/main/section/section[2]/div[2]/div/div/h3"}]}, "tags": ["h3"], "label": "O", "web_segment_id": 66, "global_sentence_id": 28, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# Native Instruments 发布 Maschine v3.1.0 软件更新 ## 新增于 Maschine v3.1.0 版本： ## 修复于Maschine v3.1.0版本：
d4445a7b-c971-4a66-873a-fa11e55e4577
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test/raw_pdf_files/d4445a7b-c971-4a66-873a-fa11e55e4577.pdf
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{"txt": "【恒誉环保-业绩预告】：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30300000, "bbox": [[0.291, 0.561, 0.476, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 1263, "edu_l1_label": "IOS"}, {"txt": "预计24年营收1.5亿元，同比-5.5%，归母净利润0.2亿元，同比-5.5％。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30300000, "bbox": [[0.476, 0.561, 0.903, 0.572], [0.285, 0.58, 0.424, 0.59]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 1264, "edu_l1_label": "IOS"}, {"txt": "【德林海-业绩预告】：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30400000, "bbox": [[0.291, 0.604, 0.459, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 1265, "edu_l1_label": "IOS"}, {"txt": "预计24年营收4.5亿元，同比＋44.5%，归母净利润-0.8亿元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30400000, "bbox": [[0.459, 0.604, 0.901, 0.615], [0.285, 0.622, 0.327, 0.632]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 1266, "edu_l1_label": "IOS"}, {"txt": "【中科环保-业绩预告】：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30500000, "bbox": [[0.291, 0.647, 0.481, 0.659]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 1267, "edu_l1_label": "IOS"}, {"txt": "预计24年营收16.6亿元，同比＋18.4%，归母净利润3.2亿元，同比＋18.9％。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30500000, "bbox": [[0.481, 0.647, 0.903, 0.659], [0.284, 0.666, 0.463, 0.675]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 1268, "edu_l1_label": "IOS"}, {"txt": "【金达莱-业绩预告】：", "language": 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# 公用环保2025年3月投资策略 优于大市国家能源局印发2025年能源工作指导意见，中国核电、浙能电力增资参股中国聚变能源有限公司 ## 核心观点 ### 市场回顾： ### 重要事件： ### 专题研究： ### 投资策略： #### 公用事业： ##### 1．煤价电价同步下行，火电盈利有望维持合理水平，推荐全国大型火电企业华电国际、国电电力以及区域电价较为坚挺的上海电力； ##### 2．国家持续出台政策支持新能源发展，新能源发电盈利有望逐步趋于稳健，推荐全国性新能源发电龙头企业龙源电力、三峡能源以及以及区域优质海上风电企业广西能源、福能股份、中闽能源； ##### 3．装机和发电量增长对冲电价下行压力，预计核电公司盈利仍将维持稳定，推荐核电运营标的中国核电、中国广核；国家电投整合核电资产，打造A股第三家核电运营商，推荐重组标的电投产融； ##### 4．全球降息背景下高分红的水电股防御属性凸显，推荐业绩稳健性和成长性兼具的水电龙头长江电力； ##### 5．燃气推荐具有区位优势，量价张力较强的城市燃气龙头华润燃气，以及具有海气贸易能力，特气业务锚定商业航天的九丰能源。 #### 环保： ### 风险提示： ### 重点公司盈利预测及投资评级 ## 一、专题研究与核心观点 ### （一）异动点评 ### （二）重要政策及事件 #### （1）国家能源局印发2025年能源工作指导意见 ##### 《意见》指出，统筹推进新型电力系统建设。 ##### 持续完善能源体制机制。 ##### 深化全国统一电力市场建设。 #### （2）中国核电、浙能电力增资参股中国聚变能源有限公司 ### （三）专题研究：2024Q4公用环保板块基金重仓情况梳理 ### （四）核心观点：碳中和背景下，推荐新能源产业链＋综合能源管理 #### 公用事业： ##### 1．煤价电价同步下行，火电盈利有望维持合理水平，推荐全国大型火电企业华电国际、国电电力以及区域电价较为坚挺的上海电力； ##### 2．国家持续出台政策支持新能源发展，新能源发电盈利有望逐步趋于稳健，推荐全国性新能源发电龙头企业龙源电力、三峡能源以及以及区域优质海上风电企业广西能源、福能股份、中闽能源； ##### 3．装机和发电量增长对冲电价下行压力，预计核电公司盈利仍将维持稳定，推荐核电运营标的中国核电、中国广核；国家电投整合核电资产，打造A股第三家核电运营商，推荐重组标的电投产融； ##### 4．全球降息背景下高分红的水电股防御属性凸显，推荐业绩稳健性和成长性兼具的水电龙头长江电力； ##### 5．燃气推荐具有区位优势，量价张力较强的城市燃气龙头华润燃气，以及具有海气贸易能力，特气业务锚定商业航天的九丰能源。 #### 环保： ## 二、板块表现 ### （一）板块表现 ### （二）本周个股表现 #### 1、环保行业 #### 2、电力行业 #### 3、水务行业 #### 4、燃气行业 ## 三、行业重点数据一览 ### （一）电力行业 #### 1．发电量 #### 2．用电量 #### 3．电力交易 #### 4．发电设备 #### 5．发电企业电源工程投资 ### （二）碳交易市场 #### 1．国内碳市场行情 #### 2．国际碳市场行情 ### （三）煤炭价格 ### （四）天然气行业 ## 四、行业动态与公司公告 ### （一）行业动态 #### 1、电力 ##### （1）国家能源局印发2025年能源工作指导意见 ###### 《意见》指出，统筹推进新型电力系统建设。 ###### 持续完善能源体制机制。 ###### 深化全国统一电力市场建设。 ##### （2）六部门印发《关于推动海洋能规模化利用的指导意见》 ##### （3）广西能源集团桂北片区500MW风电项目获核准 ##### （4）四川能源发展集团揭牌成立 ##### （5）国家能源局：2025年1月新增建档立卡新能源发电项目30657个 #### 2、环保 ##### （1）日本大饭核电站放射性气体泄漏 ##### （2）生态环境部启动修订《环境空气质量标准》 ### （二）公司公告 #### 1、电力 ##### 【中国核电-对外投资】：拟以增资方式参股中国聚变能源有限公司，投资金额为10亿元。 ##### 【浙能电力-对外投资】：拟以增资方式参股中国聚变能源有限公司，投资金额为7.5亿元。 ##### 【华能水电-市值管理】：公司市值管理措施包括并购重组、股权激励、员工持股计划、现金分红、投资者关系管理、信息披露、股份回购等。 ##### 【国投电力-定增发行】向全国社会保障基金理事会发行5.5亿股，实际募集资金69.98亿元，发行价格12.72元／股，限售期三年，社保基金会持股比例为6.88％。 ##### 【中绿电-对外投资】：投资设立中绿电（榆林）新能源发电有限公司负责鲁能榆阳区10万千瓦风电项目。 ##### 【川投能源-对外投资】：投资四川时代60MW/120MWh工商业用户侧储能项目，项目概算总投资1.15亿元。 ##### 【长青集团-战略合作】： ##### 【南网能源-孙公司破产】孙公司阳山南电生物质发电、广西南能昌菱清洁能源申请破产。 ##### 【川能动力-股东变更】：因控股股东能投集团与川投集团实施新设合并设立四川能源发展集团，公司控股股东将变更为四川能源发展集团，直接及间接持股比例合计39.46%，实控人仍为四川省国资委。 ##### 【乐山电力-定增上市】：以简易程序向9名对象发行0.4亿股募集2.0亿元，发行价格5.01元／股，限售期6个月。 #### 2、燃气 #### 3、环保 ##### 【美埃科技-业绩预告】：预计24年营收17.2亿元，同比＋14.5%；归母净利润1.9亿元，同比＋9.4％。 ##### 【洪城环境-高管减持】董事长等四人计划在3个月内减持合计不超过0.03％。 ##### 【赛恩斯-业绩预告】：预计24年营收9.28亿元（+14.75%)，归母净利润1.91亿元（+111.71%)，主要系报告期内收购联营企业投资收益增加以及长期稳定且利润较高的产品销售与运营服务业务增长显著所致。 ##### 【三达膜-业绩预告】预计24年营收14.18亿元（-2.27%)，归母净利润3.12亿元（+22.94%)，主要是由于对联营企业的投资收益增长以及政府回购伊通满族自治县污水处理厂所产生的资产处置收益所致。 ##### 【丛麟科技-业绩预告】：预计24年营收5.95亿元（-6.22%)，归母净利润0.93亿元（+5.35%）。 ##### 【路德环境-业绩预告】： ##### 【恒誉环保-业绩预告】：预计24年营收1.5亿元，同比-5.5%，归母净利润0.2亿元，同比-5.5％。 ##### 【德林海-业绩预告】：预计24年营收4.5亿元，同比＋44.5%，归母净利润-0.8亿元。 ##### 【中科环保-业绩预告】：预计24年营收16.6亿元，同比＋18.4%，归母净利润3.2亿元，同比＋18.9％。 ##### 【金达莱-业绩预告】：预计24年营收4.1亿元，同比-19.3%；归母净利润1.4亿元，同比-24.4％。 ##### 【东望时代-增资子公司】：拟与复创信息共同对东望数智增资，公司增资0.2亿元，增资后持股比例仍为51％。 ##### 【复洁环保-业绩预告】：预计24年营收1.88亿元，同比-67.42%，归母净利润-0.50亿元，同比-149.85％。 ##### 【高能环境-项目中标】： ##### 【力源科技-业绩预告】：预计24年营业收入3.74亿元，同比＋46.58%，归母净 ##### 【青达环保-业绩预告】：预计24年营业收入13.14亿元，同比＋27.70%，归母净利润0.94亿元，同比＋8.61％。 ##### 【金科环境-业绩预告】：预计24年营业收入6.37亿元，同比＋11.29%，归母净利润0.71亿元，同比＋0.73％。 ##### 【维尔利-估值提升计划】：拟采取经营提升、并购重组、股份回购、股权激励和员工持股计划、现金分红、投资者关系管理和信息披露等方式提升公司估值。公司2023年经审计BPS为4.57元。 ##### 【兴蓉环境-业绩预告】：预计24年营业收入90.49亿元，同比＋11.90%，归母净利润19.96亿元，同比＋8.28％。 ##### 【重庆水务-募投项目】：使用募集资金向昆明渝润水务增资11.47亿元并借款7.48亿元实施募投项目“收购昆明滇投污水处理资产”。 ##### 【久吾高科-激励授予】：2月21日将预留部分限制性股票2万股以调整后的授予价格11.58元／股授予1名激励对象。 ##### 【力源科技-募投项目延期】：募投项目水处理系统集成中心及PTFE膜生产项目、研发中心建设项目预计延期至2027年2月达到可使用状态。 ## 五、板块上市公司定增进展 ## 六、本周大宗交易情况 ## 七、风险提示 ## 八、公司盈利预测
81b81a19-7884-4a82-8aa8-280f25e8304d
web
test/raw_web_htmls/81b81a19-7884-4a82-8aa8-280f25e8304d.html
https://longform.asmartbear.com/ssebitda/
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", "x": "/html/body/div[1]/div[4]/article/div[2]/dl/dd[2]/sup"}]}, "tags": ["li"], "label": "content", "web_segment_id": 27, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": " Of course Sales and Marketing cost-effectiveness is important!", "language": "english", "position": {"atoms": [{"position_id": 396, "txt": " Of course Sales and Marketing cost-effectiveness is important!", "x": "/html/body/div[1]/div[4]/article/div[2]/dl/dd[2]/br[4]"}]}, "tags": ["br", "li"], "label": "content", "web_segment_id": 31, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": " But it’s a separate metric which, by the way, you can already compute.", "language": "english", "position": {"atoms": [{"position_id": 397, "txt": " But it’s a separate metric which, by the way, you can already compute.", "x": "/html/body/div[1]/div[4]/article/div[2]/dl/dd[2]/br[4]"}]}, "tags": ["br", "li"], "label": "content", "web_segment_id": 31, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": " Let’s not cram multiple ideas into a single metric.", "language": "english", "position": {"atoms": [{"position_id": 398, "txt": " Let’s not cram multiple ideas into a single metric.", "x": "/html/body/div[1]/div[4]/article/div[2]/dl/dd[2]/br[4]"}]}, "tags": ["br", "li"], "label": "content", "web_segment_id": 31, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "5To see why:", "language": "english", "position": {"atoms": [{"position_id": 400, "txt": "5", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[6]/sup"}, {"position_id": 402, "txt": "To see why:", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": " Consider a company that’s “profitable” in the sense that revenue is greater than costs, but it’s shrinking every month.", "language": "english", "position": {"atoms": [{"position_id": 403, "txt": " Consider a company that’s “profitable” in the sense that revenue is greater than costs, but it’s shrinking every month.", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": " That’s a company that will soon be dead, and sooner will be unprofitable.", "language": "english", "position": {"atoms": [{"position_id": 404, "txt": " That’s a company that will soon be dead, and sooner will be unprofitable.", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " This is not what we mean by “profitable.” 6There is prior art on this question, e.g. some say the threshold is an LTV/CAC of 3, because of one blog post by David Skok more than ten years ago.", "language": "english", "position": {"atoms": [{"position_id": 405, "txt": " This is not what we mean by “profitable.” ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[6]/span"}, {"position_id": 407, "txt": "6", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/sup"}, {"position_id": 409, "txt": "There is prior art on this question, e.g. some say the threshold is an LTV/CAC of 3, because of ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span"}, {"position_id": 411, "txt": "one blog post by David Skok", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span/a[1]"}, {"position_id": 413, "txt": " more than ten years ago.", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": " But others say 5 while others say 1, and I say that LTV isn’t the right way to think about it anyway, and that you ought to use “payback period” instead. ", "language": "english", "position": {"atoms": [{"position_id": 414, "txt": " But others say 5 while others say 1, and ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span/a[1]"}, {"position_id": 416, "txt": "I say that LTV isn’t the right way to think about it anyway", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span/a[2]"}, {"position_id": 418, "txt": ", and that you ought to use “payback period” instead. ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[7]/span/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "Is there a way of measuring whether the company is “fundamentally profitable” while avoiding these two flaws?", "language": "english", "position": {"atoms": [{"position_id": 420, "txt": "Is there a way of measuring whether the company is “fundamentally profitable” while avoiding these two flaws?", "x": "/html/body/div[1]/div[4]/article/div[2]/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "Long-time readers might at this moment have the flash of realization that I had when first considering these flaws—it involves the same set of SaaS metrics that come together neatly in the definition of COC (Cost of Cancellation).7 It turns out that COC is the key to this metric of “underlying profitability.”", "language": "english", "position": {"atoms": [{"position_id": 422, "txt": "Long-time readers might at this moment have the flash of realization that I had when first considering these flaws—it involves the same set of SaaS metrics that come together neatly in the definition of ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]"}, {"position_id": 424, "txt": "COC (Cost of Cancellation)", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/a"}, {"position_id": 426, "txt": ".", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/a"}, {"position_id": 428, "txt": "7", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/sup"}, {"position_id": 430, "txt": " It turns out that ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/sup"}, {"position_id": 432, "txt": "COC is the key", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/strong"}, {"position_id": 434, "txt": " to this metric of “underlying profitability.”", "x": "/html/body/div[1]/div[4]/article/div[2]/p[16]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 33, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "7Briefly:", "language": "english", "position": {"atoms": [{"position_id": 436, "txt": "7", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/sup"}, {"position_id": 438, "txt": "Briefly:", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": " COC is defined as the cost of replacing customers that cancel, and thus the cost to remain at this “steady-state.”", "language": "english", "position": {"atoms": [{"position_id": 439, "txt": " COC is defined as the cost of replacing customers that cancel, and thus the cost to remain at this “steady-state.”", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": " Most simply it is:", "language": "english", "position": {"atoms": [{"position_id": 440, "txt": " Most simply it is:", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": " CAC ✕ C, where C is the number of customers that cancel in a month.", "language": "english", "position": {"atoms": [{"position_id": 441, "txt": " ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span"}, {"position_id": 443, "txt": "CAC ✕ C", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span/code[1]"}, {"position_id": 445, "txt": ", where ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span/code[1]"}, {"position_id": 447, "txt": "C", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span/code[2]"}, {"position_id": 449, "txt": " is the number of customers that cancel in a month.", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": " See the article for the formula, derivation, and discussion. ", "language": "english", "position": {"atoms": [{"position_id": 450, "txt": " See the article for the formula, derivation, and discussion. ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[8]/span/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "SSEBITDA:", "language": "english", "position": {"atoms": [{"position_id": 452, "txt": "SSEBITDA:", "x": "/html/body/div[1]/div[4]/article/div[2]/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 34, "global_sentence_id": 72, "edu_l1_label": "BOS"}, {"txt": " Steady-State profitability ", "language": "english", "position": {"atoms": [{"position_id": 453, "txt": " Steady-State profitability ", "x": "/html/body/div[1]/div[4]/article/div[2]/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 34, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "Reframing the question leads us to a simple conclusion.", "language": "english", "position": {"atoms": [{"position_id": 455, "txt": "Reframing the question leads us to a simple conclusion.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "Let’s define a metric closer to our original intent:", "language": "english", "position": {"atoms": [{"position_id": 457, "txt": "Let’s define a metric closer to our original intent:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": " “Steady-state profitability,” which I abbreviate as SSEBITDA.", "language": "english", "position": {"atoms": [{"position_id": 458, "txt": " “Steady-state profitability,” which I abbreviate as ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]"}, {"position_id": 460, "txt": "SSEBITDA", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]/strong"}, {"position_id": 462, "txt": ".", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 36, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": " Longer:", "language": "english", "position": {"atoms": [{"position_id": 463, "txt": " Longer:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 36, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": " How profitable would we be, if we were spending only enough to maintain the current state of the company, neither growing nor shrinking?", "language": "english", "position": {"atoms": [{"position_id": 464, "txt": " ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]/strong"}, {"position_id": 466, "txt": "How profitable would we be, if we were spending only enough to maintain the current state of the company, neither growing nor shrinking?", "x": "/html/body/div[1]/div[4]/article/div[2]/p[20]/em"}]}, "tags": ["strong", "em"], "label": "content", "web_segment_id": 36, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Having read the previous article on COC, the formula is simple:", "language": "english", "position": {"atoms": [{"position_id": 468, "txt": "Having read the previous article on COC, the formula is simple:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "SSEBITDA = EBITDA + SM − COC", "language": "english", "position": {"atoms": [{"position_id": 470, "txt": "SSEBITDA = EBITDA + SM − COC", "x": "/html/body/div[1]/div[4]/article/div[2]/p[22]/code"}]}, "tags": [], "label": "formula", "web_segment_id": 38, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "In short, including the S&M costs needed to replace canceled customers, but no additional S&M costs.", "language": "english", "position": {"atoms": [{"position_id": 472, "txt": "In short, including the S&M costs needed to replace canceled customers, but no additional S&M costs.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "This solves both flaws because:", "language": "english", "position": {"atoms": [{"position_id": 474, "txt": "This solves both flaws because:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "We’ve added back the cost of maintaining flat revenue (“steady-state”).", "language": "english", "position": {"atoms": [{"position_id": 476, "txt": "We’ve added back the cost of maintaining flat revenue (“steady-state”).", "x": "/html/body/div[1]/div[4]/article/div[2]/ol/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 41, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "COC includes sales-efficiency, so it works for all companies.", "language": "english", "position": {"atoms": [{"position_id": 478, "txt": "COC includes sales-efficiency, so it works for all companies.", "x": "/html/body/div[1]/div[4]/article/div[2]/ol/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "Thus it is the formula for “profit if we maintain the company as it exists today.”", "language": "english", "position": {"atoms": [{"position_id": 480, "txt": "Thus it is the formula for “profit if we maintain the company as it exists today.”", "x": "/html/body/div[1]/div[4]/article/div[2]/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "Corollary:", "language": "english", "position": {"atoms": [{"position_id": 482, "txt": "Corollary:", "x": "/html/body/div[1]/div[4]/article/div[2]/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 44, "global_sentence_id": 86, "edu_l1_label": "BOS"}, {"txt": " Profitable Growth Rate ", "language": "english", "position": {"atoms": [{"position_id": 483, "txt": " Profitable Growth Rate ", "x": "/html/body/div[1]/div[4]/article/div[2]/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 44, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "Another interesting metric falls directly out of SSEBITDA—“Profitable Growth Rate,” i.e. the rate of revenue growth the company can self-fund while still being profitable.", "language": "english", "position": {"atoms": [{"position_id": 485, "txt": "Another interesting metric falls directly out of SSEBITDA—“Profitable Growth Rate,” i.e. the rate of revenue growth the company can self-fund while still being profitable.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Where p is the cost of a dollar of revenue (also defined in the COC article):", "language": "english", "position": {"atoms": [{"position_id": 487, "txt": "Where ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[27]"}, {"position_id": 489, "txt": "p", "x": "/html/body/div[1]/div[4]/article/div[2]/p[27]/code"}, {"position_id": 491, "txt": " is the cost of a dollar of revenue (also defined in the ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[27]/code"}, {"position_id": 493, "txt": "COC article", "x": "/html/body/div[1]/div[4]/article/div[2]/p[27]/a"}, {"position_id": 495, "txt": "):", "x": "/html/body/div[1]/div[4]/article/div[2]/p[27]/a"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "Profitable Growth Rate = SSEBITDA / p", "language": "english", "position": {"atoms": [{"position_id": 497, "txt": "Profitable Growth Rate = SSEBITDA / p", "x": "/html/body/div[1]/div[4]/article/div[2]/p[28]/code"}]}, "tags": [], "label": "formula", "web_segment_id": 47, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "Justification:", "language": "english", 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", "language": "english", "position": {"atoms": [{"position_id": 524, "txt": "8", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[9]/sup"}, {"position_id": 526, "txt": "Because 8% is 5% more than we could grow based on our own profits, and that 5% is bought at a cost of ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[9]/span"}, {"position_id": 528, "txt": "p", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[9]/span/code"}, {"position_id": 530, "txt": "=4 dollars to earn every 1 dollar of revenue, so 5% × 4 = 20%. ", "x": "/html/body/div[1]/div[4]/article/div[2]/blockquote[9]/span/code"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "Additional thoughts on SSEBITDA ", "language": "english", "position": {"atoms": [{"position_id": 532, "txt": "Additional thoughts on SSEBITDA ", "x": "/html/body/div[1]/div[4]/article/div[2]/h2[5]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 51, "global_sentence_id": 98, "edu_l1_label": "BOS"}, {"txt": "Having used SSEBITDA for some years now, here are some assorted additional thoughts:", "language": "english", "position": {"atoms": [{"position_id": 534, "txt": "Having used SSEBITDA for some years now, here are some assorted additional thoughts:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "Negative SSEBITDA ", "language": "english", "position": {"atoms": [{"position_id": 536, "txt": "Negative SSEBITDA ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[1]"}]}, "tags": ["h4"], "label": "title2", "web_segment_id": 53, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "A negative SSEBITDA isn’t necessarily a problem.", "language": "english", "position": {"atoms": [{"position_id": 538, "txt": "A negative SSEBITDA isn’t necessarily a problem.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": " It depends on the context and goals of the company.", "language": "english", "position": {"atoms": [{"position_id": 539, "txt": " It depends on the context and goals of the company.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "For example, an early-stage high-tech SaaS company will be spending much more in R&D as a percentage of revenue than a later-stage company.", "language": "english", "position": {"atoms": [{"position_id": 541, "txt": "For example, an early-stage high-tech SaaS company will be spending much more in R&D ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]"}, {"position_id": 543, "txt": "as a percentage of revenue", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[1]"}, {"position_id": 545, "txt": " than a later-stage company.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[1]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 55, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": " Or a mid-stage company (like WP Engine) might have higher G&A spend (office space, finance, legal, HR) as a percentage of revenue, until it grows into those services.", "language": "english", "position": {"atoms": [{"position_id": 546, "txt": " Or a mid-stage company (like WP Engine) might have higher G&A spend (office space, finance, legal, HR) ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[1]"}, {"position_id": 548, "txt": "as a percentage of revenue,", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[2]"}, {"position_id": 550, "txt": " until it grows into those services.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 55, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": " Those are expenses that eat into EBITDA and thus SSEBITDA, but that doesn’t mean the company won’t be profitable with larger scale.", "language": "english", "position": {"atoms": [{"position_id": 551, "txt": " Those are expenses that eat into EBITDA and thus SSEBITDA, but that doesn’t mean the company won’t be profitable with larger scale.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[36]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 55, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "Removing other costs for a more precise “steady-state” ", "language": "english", "position": {"atoms": [{"position_id": 553, "txt": "Removing other costs for a more precise “steady-state” ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[2]"}]}, "tags": ["h4"], "label": "title2", "web_segment_id": 56, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "Or:", "language": "english", "position": {"atoms": [{"position_id": 555, "txt": "Or:", "x": "/html/body/div[1]/div[4]/article/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": " Why not to do that.", "language": "english", "position": {"atoms": [{"position_id": 556, "txt": " Why ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[37]"}, {"position_id": 558, "txt": "not", "x": "/html/body/div[1]/div[4]/article/div[2]/p[37]/em"}, {"position_id": 560, "txt": " to do that.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[37]/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 57, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "It’s tempting to point out that not all engineers are working on maintenance; perhaps in steady-state we wouldn’t need to add so many new features, and thus engineering expenses would be lower too.", "language": "english", "position": {"atoms": [{"position_id": 562, "txt": "It’s tempting to point out that not all engineers are working on maintenance; perhaps in steady-state we wouldn’t need to add so many new features, and thus engineering expenses would be lower too.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": " And we might do away with some of that overhead expense.", "language": "english", "position": {"atoms": [{"position_id": 563, "txt": " And we might do away with some of that overhead expense.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "This seems logical, but I don’t think it’s actually correct, nor worth your time to calculate.", "language": "english", "position": {"atoms": [{"position_id": 565, "txt": "This seems logical, but I don’t think it’s actually correct, nor worth your time to calculate.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": " First, it’s a lot of work to figure out in detail, and this is supposed to be quick and helpful.", "language": "english", "position": {"atoms": [{"position_id": 566, "txt": " First, it’s a lot of work to figure out in detail, and this is supposed to be quick and helpful.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": " Second, it’s not really true.", "language": "english", "position": {"atoms": [{"position_id": 567, "txt": " Second, it’s not really true.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": " A product that never adds a new feature is not in a “steady-state,” because the market is changing around it—customer needs, competitive pressures, the rise of new technologies and trends like AI.", "language": "english", "position": {"atoms": [{"position_id": 568, "txt": " A product that never adds a new feature is ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]"}, {"position_id": 570, "txt": "not", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/em"}, {"position_id": 572, "txt": " in a “steady-state,” because the market is changing around it—customer needs, competitive pressures, the rise of new technologies and trends ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/em"}, {"position_id": 574, "txt": "like AI", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/a"}, {"position_id": 576, "txt": ".", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/a"}]}, "tags": ["em"], "label": "content", "web_segment_id": 59, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": " So, exactly how much new-feature development is needed for “steady-state?”", "language": "english", "position": {"atoms": [{"position_id": 577, "txt": " So, exactly how much new-feature development is needed for “steady-state?”", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/a"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": " No one knows, and it’s not worth your time to try to invent an answer.", "language": "english", "position": {"atoms": [{"position_id": 578, "txt": " No one knows, and it’s not worth your time to try to invent an answer.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[39]/a"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "Actionable idea arise from components of SSEBITDA. ", "language": "english", "position": {"atoms": [{"position_id": 580, "txt": "Actionable idea arise from components of SSEBITDA. ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[3]"}]}, "tags": ["h4"], "label": "title2", "web_segment_id": 60, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "If SSEBITDA is negative because GPM is low or COC is high, that’s an unprofitable model, and you need to address the root causes.", "language": "english", "position": {"atoms": [{"position_id": 582, "txt": "If SSEBITDA is negative because GPM is low or COC is high, that’s an unprofitable model, and you need to address the root causes.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": " If it’s especially low due to cancellations or high CAC, those are actionable.", "language": "english", "position": {"atoms": [{"position_id": 583, "txt": " If it’s especially low due to cancellations or high CAC, those are actionable.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": " If you have intentionally high R&D costs because you’re investing in product, and a bump in G&A because you just moved into a new office space, you know those will correct themselves over time.", "language": "english", "position": {"atoms": [{"position_id": 584, "txt": " If you have intentionally high R&D costs because you’re investing in product, and a bump in G&A because you just moved into a new office space, you know those will correct themselves over time.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": " You might even calculate an “expected SSEBITDA after scale” where e.g R&D plus G&A costs total 30% of revenue and see how you’re doing.", "language": "english", "position": {"atoms": [{"position_id": 585, "txt": " You might even calculate an “expected SSEBITDA after scale” where e.g R&D plus G&A costs total 30% of revenue and see how you’re doing.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "The overall number is useful as a sort of combined north-star metric, but all the insights and actions come from backing out of the inputs to the number, seeing which of those are worth changing, and acting on those inputs.", "language": "english", "position": {"atoms": [{"position_id": 587, "txt": "The overall number is useful as a sort of combined north-star metric, but all the insights and actions come from backing out of the inputs to the number, seeing which of those are worth changing, and acting on those inputs.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "Watch it directionally more than absolutely. ", "language": "english", "position": {"atoms": [{"position_id": 589, "txt": "Watch it directionally more than absolutely. ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[4]"}]}, "tags": ["h4"], "label": "content", "web_segment_id": 63, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "This is good advice for most metrics.", "language": "english", "position": {"atoms": [{"position_id": 591, "txt": "This is good advice for ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]"}, {"position_id": 593, "txt": "most metrics", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]/a"}, {"position_id": 595, "txt": ".", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": " At WP Engine we watched it move month over month from negative to positive and then continue to grow.", "language": "english", "position": {"atoms": [{"position_id": 596, "txt": " At WP Engine we watched it move month over month from negative to positive and then continue to grow.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": " While you’re seeing a positive trend, not just in the overall metric but in the component inputs, and when you have a roadmap designed to continue to improve those metrics, that’s a healthy path regardless of the absolute value of the metric today.", "language": "english", "position": {"atoms": [{"position_id": 597, "txt": " While you’re seeing a positive trend, not just in the overall metric but in the component inputs, and when you have a roadmap designed to continue to improve those metrics, that’s a healthy path regardless of the absolute value of the metric today.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": " After all, your goal is not to actually be in a steady state!", "language": "english", "position": {"atoms": [{"position_id": 598, "txt": " After all, your goal is not to actually be in a steady state!", "x": "/html/body/div[1]/div[4]/article/div[2]/p[42]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "Once positive, growing as a percentage of revenue could be less important. ", "language": "english", "position": {"atoms": [{"position_id": 600, "txt": "Once positive, growing ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[5]"}, {"position_id": 602, "txt": "as a percentage of revenue", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[5]/em"}, {"position_id": 604, "txt": " could be less important. ", "x": "/html/body/div[1]/div[4]/article/div[2]/h4[5]/em"}]}, "tags": ["em", "h4"], "label": "title2", "web_segment_id": 65, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "Consider that if SSEBITDA is steady 10% of revenue, and the company is growing, then in absolute dollars SSEBITDA is growing.", "language": "english", "position": {"atoms": [{"position_id": 606, "txt": "Consider that if SSEBITDA is steady 10% of revenue, ", "x": "/html/body/div[1]/div[4]/article/div[2]/p[43]"}, {"position_id": 608, "txt": "and the company is growing", "x": "/html/body/div[1]/div[4]/article/div[2]/p[43]/em"}, {"position_id": 610, "txt": ", then in absolute dollars SSEBITDA is growing.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[43]/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 66, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": " Of course it’s always great to see improvement in this metric as a percentage of revenue, but certainly it’s logical for a company to invest some of it back into the business for de-risking and further growth rather than maniacally increasing this metric.", "language": "english", "position": {"atoms": [{"position_id": 611, "txt": " Of course it’s always great to see improvement in this metric as a percentage of revenue, but certainly it’s logical for a company to invest some of it back into the business for de-risking and further growth rather than maniacally increasing this metric.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[43]/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 66, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "Now, go get profitable.", "language": "english", "position": {"atoms": [{"position_id": 613, "txt": "Now, go get profitable.", "x": "/html/body/div[1]/div[4]/article/div[2]/p[44]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": " (Eventually!)", "language": "english", "position": {"atoms": [{"position_id": 614, "txt": " (Eventually!)", "x": "/html/body/div[1]/div[4]/article/div[2]/p[44]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "Printed from:", "language": "english", "position": {"atoms": [{"position_id": 616, "txt": "Printed from:", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]"}]}, "tags": [], "label": "O", "web_segment_id": 68, "global_sentence_id": 133, "edu_l1_label": "EDU_O"}, {"txt": " A Smart Bearhttps://longform.asmartbear.com/ssebitda/", "language": "english", "position": {"atoms": [{"position_id": 617, "txt": " ", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]"}, {"position_id": 619, "txt": "A Smart Bear", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]/i"}, {"position_id": 621, "txt": "https://longform.asmartbear.com/ssebitda/", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]/a[1]"}]}, "tags": [], "label": "O", "web_segment_id": 68, "global_sentence_id": 134, "edu_l1_label": "EDU_O"}, {"txt": " © 2007-2025 Jason Cohen     ", "language": "english", "position": {"atoms": [{"position_id": 623, "txt": " © 2007-2025 Jason Cohen     ", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]/br[2]"}]}, "tags": ["br"], "label": "O", "web_segment_id": 69, "global_sentence_id": 135, "edu_l1_label": "EDU_O"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 247, "txt": "<img img", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 68, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "@asmartbear", "language": "english", "position": {"atoms": [{"position_id": 625, "txt": "@asmartbear", "x": "/html/body/div[1]/div[4]/article/div[2]/div[2]/a[2]"}]}, "tags": [], "label": "O", "web_segment_id": 68, "global_sentence_id": 137, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# SSEBITDA – A steady-state profit metric for SaaS companies ## EBITDASM: Rackspace’s attempt ## Two flaws in EBITDASM ## SSEBITDA: Steady-State profitability ## Corollary: Profitable Growth Rate ## Additional thoughts on SSEBITDA ### Negative SSEBITDA ### Removing other costs for a more precise “steady-state” ### Actionable idea arise from components of SSEBITDA. ### Watch it directionally more than absolutely. ### Once positive, growing as a percentage of revenue could be less important.
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{"entry_id": "a3b783d8-2002-434c-b4c8-18b382a7c8ce", "infos": [{"txt": "百度“复活”贴吧", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "百度“复活”贴吧", "x": "//h1[contains(@class, \"article-title\")]"}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "百度“复活”贴吧", "language": "chinese", "position": {"atoms": [{"position_id": 318, "txt": "百度“复活”贴吧", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "蓝媒汇·2025年03月19日 11:43", "language": "chinese", "position": {"atoms": [{"position_id": 320, "txt": "蓝媒汇", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/div[1]/a"}, {"position_id": 322, "txt": "·", "x": 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"tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": "以往版本的更新，均为解决部分已知问题，提升体验。", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "以往版本的更新，均为解决部分已知问题，提升体验。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "但此次更新，则引入了包括“打分”、“抽奖”等互动新玩法、接入DeepSeek满血版的AI智能体、贴吧小组件、吧单等在内的新功能，同时还打造了一个新版个人主页，带来视觉、体验的全面升级。", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "但此次更新，则引入了包括“打分”、“抽奖”等互动新玩法、接入DeepSeek满血版的AI智能体、贴吧小组件、吧单等在内的新功能，同时还打造了一个新版个人主页，带来视觉、体验的全面升级。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/oMUNh1wMnuz3kCA0M1xHdn5.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 264, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/oMUNh1wMnuz3kCA0M1xHdn5.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 6, "global_sentence_id": 7, "edu_l1_label": "EDU_O"}, {"txt": "“更好逛了，也更好玩了，也更容易经验加3了。”", "language": "chinese", "position": {"atoms": [{"position_id": 333, "txt": "“更好逛了，也更好玩了，也更容易经验加3了。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "有用户告诉AI蓝媒汇。", "language": "chinese", "position": {"atoms": [{"position_id": 334, "txt": "有用户告诉AI蓝媒汇。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "以新功能“吧单”为例，该产品类似于“歌单”，将同一兴趣爱好类型涉及的贴吧全部收集起来，方便用户浏览关注进吧，找到同好，比如“集邮大师”吧单、“爬宠要怎么养”等吧单。", "language": "chinese", "position": {"atoms": [{"position_id": 336, "txt": "以新功能“吧单”为例，该产品类似于“歌单”，将同一兴趣爱好类型涉及的贴吧全部收集起来，方便用户浏览关注进吧，找到同好，比如“集邮大师”吧单、“爬宠要怎么养”等吧单。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "在这背后，百度的目光正放在贴吧这个“情怀式”产品上，主打“聊兴趣，上贴吧”，希望将贴吧真正打造成为年轻人都爱的潮流兴趣社区。", "language": "chinese", "position": {"atoms": [{"position_id": 338, "txt": "在这背后，百度的目光正放在贴吧这个“情怀式”产品上，主打“聊兴趣，上贴吧”，希望将贴吧真正打造成为年轻人都爱的潮流兴趣社区。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "消息显示，为应对搜索竞争，百度开始重新UGC，重新审视百度贴吧，并在战略调整上适当减少广告，以促进老用户回归贴吧。", "language": "chinese", "position": {"atoms": [{"position_id": 340, "txt": "消息显示，为应对搜索竞争，百度开始重新UGC，重新审视百度贴吧，并在战略调整上适当减少广告，以促进老用户回归贴吧。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 10, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "这一战略方向已被明确列入百度贴吧相关负责人的 OKR 之中。", "language": "chinese", "position": {"atoms": [{"position_id": 342, "txt": "这一战略方向已被明确列入百度贴吧相关负责人的 OKR 之中。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "据了解，在汇报关系上，百度贴吧被放在百度信息分发平台总经理、百家号负责人李小婉下面。", "language": "chinese", "position": {"atoms": [{"position_id": 343, "txt": "据了解，在汇报关系上，百度贴吧被放在百度信息分发平台总经理、百家号负责人李小婉下面。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "不仅在C端，百度贴吧围绕用户体验也大作文章，AI蓝媒汇注意到，在B端，百度贴吧也于日前再次上线了“官方吧”入口，向B端企业产品开放。", "language": "chinese", "position": {"atoms": [{"position_id": 345, "txt": "不仅在C端，百度贴吧围绕用户体验也大作文章，AI蓝媒汇注意到，在B端，百度贴吧也于日前再次上线了“官方吧”入口，向B端企业产品开放。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "根据介绍，该“官方吧”打出了“在你的地盘，遇见你的粉丝”等口号，以吸引企业产品入驻。", "language": "chinese", "position": {"atoms": [{"position_id": 346, "txt": "根据介绍，该“官方吧”打出了“在你的地盘，遇见你的粉丝”等口号，以吸引企业产品入驻。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1NyD9KyXrFvphibn3gkwVi.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 272, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1NyD9KyXrFvphibn3gkwVi.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[10]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 13, "global_sentence_id": 17, "edu_l1_label": "EDU_O"}, {"txt": "目前比较知名的“官方吧”，多在游戏领域，比如“绝地求生吧”、“网易阴阳师吧”等。", "language": "chinese", "position": {"atoms": [{"position_id": 348, "txt": "目前比较知名的“官方吧”，多在游戏领域，比如“绝地求生吧”、“网易阴阳师吧”等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "AI蓝媒汇注意到，区别以往，目前该“官方吧”入驻，仅支持企业认证，不支持个人认证。", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "AI蓝媒汇注意到，区别以往，目前该“官方吧”入驻，仅支持企业认证，不支持个人认证。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "同时根据协议，官方吧创建后，担任官方吧吧主的百度账号无需参与《百度贴吧吧主制度》要求的考核，但需要每年通过本平台进行官方吧身份资质年审认证。", "language": "chinese", "position": {"atoms": [{"position_id": 351, "txt": "同时根据协议，官方吧创建后，担任官方吧吧主的百度账号无需参与《百度贴吧吧主制度》要求的考核，但需要每年通过本平台进行官方吧身份资质年审认证。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "此种逻辑类似于微博对蓝V的年审，以及微信对于公众号的年审，意在进一步规范官方吧生态，以及服务于商业化，从B端进行收费。", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "此种逻辑类似于微博对蓝V的年审，以及微信对于公众号的年审，意在进一步规范官方吧生态，以及服务于商业化，从B端进行收费。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "种种动作表明，一方面百度正在大模型赛道上通过文心一言不断迭代，另一方面，百度也正在押宝贴吧这个已经存续22年的产品，试图盘活重振其昔日辉煌，以应对当下搜索之变局。", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": "种种动作表明，一方面百度正在大模型赛道上通过文心一言不断迭代，另一方面，百度也正在押宝贴吧这个已经存续22年的产品，试图盘活重振其昔日辉煌，以应对当下搜索之变局。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "争夺兴趣社区", "language": "chinese", "position": {"atoms": [{"position_id": 357, "txt": "争夺兴趣社区", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/h2[1]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 18, "global_sentence_id": 23, "edu_l1_label": "BOS"}, {"txt": "80后的广州人李明，已经有两年时间没有在上贴吧了。", "language": "chinese", "position": {"atoms": [{"position_id": 359, "txt": "80后的广州人李明，已经有两年时间没有在上贴吧了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "最近一次发帖，还是在2023年1月，彼时的他终于摇到了号，于是上去“广州摇号吧”发帖宣告此事，算是以这个仪式感宣告自己摇号多年生涯的终章。", "language": "chinese", "position": {"atoms": [{"position_id": 361, "txt": "最近一次发帖，还是在2023年1月，彼时的他终于摇到了号，于是上去“广州摇号吧”发帖宣告此事，算是以这个仪式感宣告自己摇号多年生涯的终章。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "“从14年开始摇号，时不时会上贴吧去看一下同样在摇号的人情况是怎么样的，相关动态了解起来还是比较方便的。”", "language": "chinese", "position": {"atoms": [{"position_id": 363, "txt": "“从14年开始摇号，时不时会上贴吧去看一下同样在摇号的人情况是怎么样的，相关动态了解起来还是比较方便的。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "李明告诉AI蓝媒汇，这正是几年来他还玩贴吧的唯一理由。", "language": "chinese", "position": {"atoms": [{"position_id": 364, "txt": "李明告诉AI蓝媒汇，这正是几年来他还玩贴吧的唯一理由。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "而摇号结束之后，他也基本上就忘掉这个产品了。", "language": "chinese", "position": {"atoms": [{"position_id": 365, "txt": "而摇号结束之后，他也基本上就忘掉这个产品了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "但在大学时期，李明则是贴吧的狂热用户。", "language": "chinese", "position": {"atoms": [{"position_id": 367, "txt": "但在大学时期，李明则是贴吧的狂热用户。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "无论是在自家大学的官方校吧以及小号，还是在NBA吧、凯尔特人吧、米兰吧等体育吧，都能看到李明的活跃身影，甚至其个人也参与了不少“爆吧”事件。", "language": "chinese", "position": {"atoms": [{"position_id": 369, "txt": "无论是在自家大学的官方校吧以及小号，还是在NBA吧、凯尔特人吧、米兰吧等体育吧，都能看到李明的活跃身影，甚至其个人也参与了不少“爆吧”事件。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "但现在的他，一方面体育这个兴趣领域，早就转移到懂球帝、虎扑等平台，“它们的内容会纯粹一些，而相比之下贴吧过于野蛮；", "language": "chinese", "position": {"atoms": [{"position_id": 371, "txt": "但现在的他，一方面体育这个兴趣领域，早就转移到懂球帝、虎扑等平台，“它们的内容会纯粹一些，而相比之下贴吧过于野蛮；", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "二是灌水内容太多，很多帖子都是无意义的，单纯是为了所谓的经验，而有些贴吧成为死吧，点进去基本上都是广告贴。”", "language": "chinese", "position": {"atoms": [{"position_id": 372, "txt": "二是灌水内容太多，很多帖子都是无意义的，单纯是为了所谓的经验，而有些贴吧成为死吧，点进去基本上都是广告贴。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "另一方面，有关生活分享类，则是转移到小红书，“后者丰富，且有用多了。”", "language": "chinese", "position": {"atoms": [{"position_id": 373, "txt": "另一方面，有关生活分享类，则是转移到小红书，“后者丰富，且有用多了。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "这也正是百度贴吧面临的压力。", "language": "chinese", "position": {"atoms": [{"position_id": 375, "txt": "这也正是百度贴吧面临的压力。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "<img https://img.36krcdn.com/hsossms/20250319/v2_2ee0afb51aec4a6e853b1707a5214f6f@908140413_oswg9849oswg720oswg400_img_000?x-oss-process=image/format,jpg/interlace,1", "language": "chinese", "position": {"atoms": [{"position_id": 287, "txt": "<img https://img.36krcdn.com/hsossms/20250319/v2_2ee0afb51aec4a6e853b1707a5214f6f@908140413_oswg9849oswg720oswg400_img_000?x-oss-process=image/format,jpg/interlace,1", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[22]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 26, "global_sentence_id": 35, "edu_l1_label": "EDU_O"}, {"txt": "百度贴吧作为中文互联网曾经最大的社区，一度在2015年注册用户突破10亿，并拥有3亿月活，但在随后，却逐步衰退沉寂。", "language": "chinese", "position": {"atoms": [{"position_id": 377, "txt": "百度贴吧作为中文互联网曾经最大的社区，一度在2015年注册用户突破10亿，并拥有3亿月活，但在随后，却逐步衰退沉寂。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "数据显示，到了2021年，贴吧的月活用户从2015年的3亿降到了3743万，5年时间就流失了近九成用户。", "language": "chinese", "position": {"atoms": [{"position_id": 378, "txt": "数据显示，到了2021年，贴吧的月活用户从2015年的3亿降到了3743万，5年时间就流失了近九成用户。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "一个在百度内部经久不衰的议题是，“贴吧要是做好了，还能有小红书什么事。”", "language": "chinese", "position": {"atoms": [{"position_id": 380, "txt": "一个在百度内部经久不衰的议题是，“贴吧要是做好了，还能有小红书什么事。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "只是市场没有如果。", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "只是市场没有如果。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "针对百度开始重视 UGC ，并在战略上适当减少广告，李明认为此举做对了。", "language": "chinese", "position": {"atoms": [{"position_id": 384, "txt": "针对百度开始重视 UGC ，并在战略上适当减少广告，李明认为此举做对了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "“贴吧的用户基础还是在的，同时，贴吧在兴趣社区上包罗万象，以及能提供一些有用信息的优势。”", "language": "chinese", "position": {"atoms": [{"position_id": 385, "txt": "“贴吧的用户基础还是在的，同时，贴吧在兴趣社区上包罗万象，以及能提供一些有用信息的优势。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "他说道。", "language": "chinese", "position": {"atoms": [{"position_id": 386, "txt": "他说道。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "00后游戏玩家四四，同样赞同这一点观察。", "language": "chinese", "position": {"atoms": [{"position_id": 388, "txt": "00后游戏玩家四四，同样赞同这一点观察。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "他告诉AI蓝媒汇，他对于百度贴吧的认知几乎和入坑GTA的时间相同，毕竟当时能集中找到大量游戏内容、攻略的社区，有且只有里面玩家自建的“5吧”，当然，现在也是。", "language": "chinese", "position": {"atoms": [{"position_id": 390, "txt": "他告诉AI蓝媒汇，他对于百度贴吧的认知几乎和入坑GTA的时间相同，毕竟当时能集中找到大量游戏内容、攻略的社区，有且只有里面玩家自建的“5吧”，当然，现在也是。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "这种内容跨度、覆盖面，是其他平台完全不具备的。", "language": "chinese", "position": {"atoms": [{"position_id": 391, "txt": "这种内容跨度、覆盖面，是其他平台完全不具备的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "在他看来，在这些相对小众的5吧等贴吧中，恰恰可以找到在这个领域最真实的UGC，优质与否用户完全可以用脚投票选出。", "language": "chinese", "position": {"atoms": [{"position_id": 393, "txt": "在他看来，在这些相对小众的5吧等贴吧中，恰恰可以找到在这个领域最真实的UGC，优质与否用户完全可以用脚投票选出。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "不过这些的前提，都需要百度贴吧能否构建一个更好的内容生态。", "language": "chinese", "position": {"atoms": [{"position_id": 395, "txt": "不过这些的前提，都需要百度贴吧能否构建一个更好的内容生态。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "百度已经迈出了这一步，许多用户眼下最大的期待是，希望后续在商业化压力下内容生态不要变形。", "language": "chinese", "position": {"atoms": [{"position_id": 397, "txt": "百度已经迈出了这一步，许多用户眼下最大的期待是，希望后续在商业化压力下内容生态不要变形。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "保卫搜索入口", "language": "chinese", "position": {"atoms": [{"position_id": 399, "txt": "保卫搜索入口", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/h2[2]/strong"}]}, "tags": ["strong", "h2"], "label": "title1", "web_segment_id": 36, "global_sentence_id": 49, "edu_l1_label": "BOS"}, {"txt": "事实上，百度在内容生态建设上，必须要迎头赶上了。", "language": "chinese", "position": {"atoms": [{"position_id": 401, "txt": "事实上，百度在内容生态建设上，必须要迎头赶上了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "数据显示，百度搜索的市场份额一直是处于下滑状态。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "数据显示，百度搜索的市场份额一直是处于下滑状态。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "以国内市场为例，百度市场份额已经从2021年的86.82%逐步降低至2024年的60%。", "language": "chinese", "position": {"atoms": [{"position_id": 404, "txt": "以国内市场为例，百度市场份额已经从2021年的86.82%逐步降低至2024年的60%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "压力主要来自抖音小红书等发力站内搜索的冲击，比如去年第四季度，小红书的日均搜索量来到了 6 亿次附近，小红书搜索的体量已经逼近百度的一半，但本质上，是百度自身搜索内容池的萎缩。", "language": "chinese", "position": {"atoms": [{"position_id": 406, "txt": "压力主要来自抖音小红书等发力站内搜索的冲击，比如去年第四季度，小红书的日均搜索量来到了 6 亿次附近，小红书搜索的体量已经逼近百度的一半，但本质上，是百度自身搜索内容池的萎缩。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3pvxqd1rhHzC31iYhW2AkzC4.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 303, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3pvxqd1rhHzC31iYhW2AkzC4.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[35]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 40, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "80后的天津人杨华，就告诉AI蓝媒汇，以前想搜索什么信息，她都是在百度。", "language": "chinese", "position": {"atoms": [{"position_id": 408, "txt": "80后的天津人杨华，就告诉AI蓝媒汇，以前想搜索什么信息，她都是在百度。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "但这两年，首选换成了小红书。", "language": "chinese", "position": {"atoms": [{"position_id": 409, "txt": "但这两年，首选换成了小红书。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "“比如想获取一些实时的信息。", "language": "chinese", "position": {"atoms": [{"position_id": 411, "txt": "“比如想获取一些实时的信息。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "像前段时间老铺黄金爆火，我也准备去买点，当天早上去小红书一搜，就能知道现在具体店铺的排队情况是怎样的，有用户会发，这种即时的动态，百度眼下是缺少的。”", "language": "chinese", "position": {"atoms": [{"position_id": 412, "txt": "像前段时间老铺黄金爆火，我也准备去买点，当天早上去小红书一搜，就能知道现在具体店铺的排队情况是怎样的，有用户会发，这种即时的动态，百度眼下是缺少的。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "这也意味着，无论是应对抖音小红书等不断对搜索市场的入侵，还是迎合AI搜索的发展趋势，百度都需要再次审视UGC内容，丰富自身UGC内容池，从而提供“有用”、“有趣”的搜索内容。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "这也意味着，无论是应对抖音小红书等不断对搜索市场的入侵，还是迎合AI搜索的发展趋势，百度都需要再次审视UGC内容，丰富自身UGC内容池，从", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[38]"}, {"position_id": 416, "txt": "而提供“有用”、“有趣”的搜索内容。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[38]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 43, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "在此背景下，贴吧作为百度核心UGC内容池，其重要性也就不言而喻。", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "在此背景下，贴吧作为百度核心UGC内容池，其重要性也就不言而喻。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 44, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "公开数据显示，目前百度贴吧共有约2300万个兴趣主题贴吧，虽说用户规模上不复昔日辉煌，但不少贴吧，比如“孙笑川吧”、“抗压背锅吧”，依旧拥有不少人气。", "language": "chinese", "position": {"atoms": [{"position_id": 420, "txt": "公开数据显示，目前百度贴吧共有约2300万个兴趣主题贴吧，虽说用户规模上不复昔日辉煌，但不少贴吧，比如“孙笑川吧”、“抗压背锅吧”，依旧拥有不少人气。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[40]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "以“抗压背锅吧”为例，该贴吧有575万用户关注，累计发帖超过2亿。", "language": "chinese", "position": {"atoms": [{"position_id": 421, "txt": "以“抗压背锅吧”为例，该贴吧有575万用户关注，累计发帖超过2亿。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[40]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "显然，贴吧的生命力还在。", "language": "chinese", "position": {"atoms": [{"position_id": 423, "txt": "显然，贴吧的生命力还在。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[41]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 46, "global_sentence_id": 63, "edu_l1_label": "IOS"}], "type": "WEB"}
# 百度“复活”贴吧 ## 争夺兴趣社区 ## 保卫搜索入口
e322a48f-4d04-4eca-838d-d352afda572a
web
test/raw_web_htmls/e322a48f-4d04-4eca-838d-d352afda572a.html
https://mp.weixin.qq.com/s?__biz=MzA5ODc0MTUwNA==&mid=2652037176&idx=4&sn=1f04cb353d780f652d9027e39b706f3c&scene=0
{"entry_id": "e322a48f-4d04-4eca-838d-d352afda572a", "infos": [{"txt": "利好丨4月10日晚间上市公司利好公告一览", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "利好丨4月10日晚间上市公司利好公告一览", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " 利好丨4月10日晚间上市公司利好公告一览", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "\n \n利好丨4月10日晚间上市公司利好公告一览", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1buDhw2L7E5X1Jl6Vt208wp0.webp", "language": "chinese", "position": {"atoms": [{"position_id": 55, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1buDhw2L7E5X1Jl6Vt208wp0.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/strong/span/strong/span/img"}]}, "tags": ["img", "strong"], "label": "figure", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "4月10日晚间，沪深两市多家上市公司发布了公告。", "language": "chinese", "position": {"atoms": [{"position_id": 424, "txt": "4月10日晚间，沪深两市多家上市公司发布了公告。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 3, "edu_l1_label": "BOS"}, {"txt": "以下是利好一览：", "language": "chinese", "position": {"atoms": [{"position_id": 425, "txt": "以下是利好一览：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 4, "edu_l1_label": "IOS"}, {"txt": "金力永磁：", "language": "chinese", "position": {"atoms": [{"position_id": 427, "txt": "金力永磁：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", 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"content", "web_segment_id": 42, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "公司持续聚焦新能源和节能环保领域，专注于新能源汽车及汽车零部件、节能变频空调、风力发电、机器人及工业伺服电机、3C、低空飞行器等核心应用领域，并积极配合国际知名科技公司进行具身机器人磁组件研发。", "language": "chinese", "position": {"atoms": [{"position_id": 433, "txt": "公司持续聚焦新能源和节能环保领域，专注于新能源汽车及汽车零部件、节能变频空调、风力发电、机器人及工业伺服电机、3C、低空飞行器等核心应用领域，并积极配合国际知名科技公司进行具身机器人磁组件研发。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "报告期，公司营业收入预计17亿元，同比增长超过10%。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "报告期，公司营业收入预计17亿元，同比增长超过10%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "燕京啤酒：", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "燕京啤酒：", "x": 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{"atoms": [{"position_id": 441, "txt": "一季度，燕京啤酒延续高质量发展态势，系统性推进九大变革持续落地，其中大单品燕京U8继续保持30%以上的高增速。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "西菱动力：", "language": "chinese", "position": {"atoms": [{"position_id": 443, "txt": "西菱动力：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 45, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "预计2025年第一季度净利润为2000万元~2200万元，同比增长97.68%~117.44%", "language": "chinese", "position": {"atoms": [{"position_id": 445, "txt": "预计2025年第一季度净利润为2000万元~2200万元，同比增长97.68%~117.44%", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 45, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "西菱动力4月10日晚间发布业绩预告，预计2025年一季度归属于上市公司股东的净利润2000万元~2200万元，同比增长97.68%~117.44%。", "language": "chinese", "position": {"atoms": [{"position_id": 447, "txt": "西菱动力4月10日晚间发布业绩预告，预计2025年一季度归属于上市公司股东的净利润2000万元~2200万元，同比增长97.68%~117.44%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[13]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "骆驼股份：", "language": "chinese", "position": {"atoms": [{"position_id": 449, "txt": "骆驼股份：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 47, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "2024年度净利润约6.14亿元，同比增加7.26%", "language": "chinese", "position": {"atoms": [{"position_id": 451, "txt": "2024年度净利润约6.14亿元，同比增加7.26%", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 47, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "骆驼股份4月10日晚间发布2024年度业绩快报，营业收入约155.92亿元，同比增加10.75%；", "language": "chinese", "position": {"atoms": [{"position_id": 453, "txt": "骆驼股份4月10日晚间发布2024年度业绩快报，营业收入约155.92亿元，同比增加10.75%；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "归属于上市公司股东的净利润约6.14亿元，同比增加7.26%；", "language": "chinese", "position": {"atoms": [{"position_id": 454, "txt": "归属于上市公司股东的净利润约6.14亿元，同比增加7.26%；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "基本每股收益0.52元，同比增加6.12%。", "language": "chinese", "position": {"atoms": [{"position_id": 455, "txt": "基本每股收益0.52元，同比增加6.12%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 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"专利名称分别为“一种内置盆式绝缘子装置”“一种用于GIS/GIL 绝缘试验的智能化切换装置”等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "德邦科技：", "language": "chinese", "position": {"atoms": [{"position_id": 576, "txt": "德邦科技：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[83]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 82, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "首次回购约2.67万股", "language": "chinese", "position": {"atoms": [{"position_id": 578, "txt": "首次回购约2.67万股", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[83]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 82, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "德邦科技4月10日晚间发布公告称，2025年4月10日，公司通过上海证券交易所交易系统以集中竞价交易方式实施了首次回购。", "language": "chinese", "position": {"atoms": [{"position_id": 580, "txt": 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# 利好丨4月10日晚间上市公司利好公告一览 ## 4月10日晚间，沪深两市多家上市公司发布了公告。以下是利好一览： ### 金力永磁：一季度净利润同比预增50%—60% ### 燕京啤酒：一季度净利同比预增55.96%—67.66% ### 西菱动力：预计2025年第一季度净利润为2000万元~2200万元，同比增长97.68%~117.44% ### 骆驼股份：2024年度净利润约6.14亿元，同比增加7.26% ### 中国中铁：董事长提议8亿元至16亿元回购公司股份 ### 天山铝业：拟2亿元至3亿元回购公司股份 ### 冠盛股份：拟8000万元至1.2亿元回购公司股份 ### 均胜电子：控股股东拟5000万元至1亿元增持公司股份 ### 晶升股份：实控人拟1000万元至2000万元增持公司股份 ### 宝钛股份：控股股东拟1.5亿元至3亿元增持公司股份 ### 新凤鸣：控股股东拟2亿元至3亿元增持公司股份 ### 迈得医疗：实控人配偶拟500万元至1000万元增持公司股份 ## 4月10日晚间，沪深两市多家上市公司发布了公告。以下是公告一览： ### 大丰实业：与智元机器人签订股权合作协议 开发人形机器人项目 ### 神工股份：加征关税对公司经营管理没有造成实质性影响 ### 浙商银行：聘任陈海强为行长 ### 露笑科技：总计回购约3756万股 ### 博汇纸业：子公司获得政府补助2740万元 ### 捷顺科技：2024年度净利润约3146万元，同比下降71.97% ### 格林美：与韩国ECOPRO及其下属公司签署战略合作协议 ### 安靠智电：取得5项专利证书 ### 德邦科技：首次回购约2.67万股 ### 良信股份：公司及其子公司取得多项专利证书
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{"entry_id": "0eca2177-b722-4d68-99f0-21e50efdf01c", "infos": [{"txt": "Kaleidoscope:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.195, 0.09, 0.417, 0.109]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": " In-language Exams for", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.417, 0.09, 0.805, 0.109]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "Massively Multilingual Vision Evaluation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.167, 0.121, 0.831, 0.14]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "Israfel 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(a) Multilingual-Multimodal MCQ Samples (b) Language and Multimodal Samples Distribution. (c) Exam Category Breakdown.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.115, 0.355, 0.885, 0.385]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 26, "edu_l1_label": "EDU_O"}, {"txt": "1 Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.117, 0.415, 0.294, 0.429]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 8, "global_sentence_id": 27, "edu_l1_label": "BOS"}, {"txt": "Evaluations are the backbone of measuring progress in machine learning, yet many benchmarks-especially for language models - continue to mirror an English and Western-centric worldview (Joshi et al., 2020;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.118, 0.449, 0.882, 0.456], [0.117, 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{"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.301, 0.501, 0.881, 0.511], [0.117, 0.521, 0.881, 0.527], [0.117, 0.537, 0.881, 0.545], [0.117, 0.556, 0.759, 0.562]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "In recent years,the community has made promising strides toward broader multilingual text evaluation (Ahuja et al., 2023; Singh et al., 2024b;a; Aakanksha et al., 2024; Pozzobon et al., 2024; Romanou et al.,2024;Singh et al., 2025; Adelani et al., 2024), and multimodal benchmarks are starting to take shape (Bugliarello et al., 2022; Fu et al., 2023; Yue et al., 2024a;b; Li et al., 2024a; Xu et al.,2025).Yet reliable evaluation at the intersection of multilingual and multimodal tasks remains rare.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.759, 0.556, 0.882, 0.564], 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"While convenient, this approach often falls short of capturing cultural context and nuance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.832, 0.689, 0.881, 0.698], [0.117, 0.709, 0.791, 0.716]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "Translated datasets can easily reinforce Western-centric knowledge and assumptions (van Miltenburg et al.,2017;Frank et al., 2018; Singh et al., 2025; Longpre et al., 2025) limiting their ability to truly assess model performance across diverse settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.791, 0.709, 0.881, 0.715], [0.117, 0.723, 0.882, 0.735], [0.118, 0.741, 0.881, 0.75], [0.117, 0.76, 0.446, 0.767]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 35, 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["footer"], "label": "O", "web_segment_id": 12, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "blend image and text modalities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.117, 0.094, 0.377, 0.105]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "Our dataset pushes beyond simple captioning tasks, challenging models to reason about visual content in various topics, the way humans are evaluated in exams worldwide.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.377, 0.094, 0.881, 0.106], [0.117, 0.115, 0.881, 0.122], [0.118, 0.131, 0.203, 0.139]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "Through a large-scale open science effort across 18 languages, we construct KALEIDO-SCOPE(see Figure 1), featuring a diverse selection of knowledge domains across 14 subjects.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.203, 0.131, 0.881, 0.138], [0.117, 0.148, 0.836, 0.156]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "With 55% of the total 20,911 questions requiring image understanding for accurate resolution, our work aims to establish a comprehensive, and inclusive evaluation framework for multimodal language models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.836, 0.148, 0.88, 0.156], [0.117, 0.163, 0.88, 0.173], [0.117, 0.183, 0.881, 0.19], [0.117, 0.201, 0.179, 0.208]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "We evaluate a wide range of state-of-the-art models on KALEIDOSCOPE, including Claude 3.5 Sonnet (Anthropic, 2024), GPT-4o (OpenAI et al., 2024),and Gemini-V (Google et al., 2024),as well as smaller open-weight VLMs, such as Aya-Vision model family (Cohere-For-AI-Team,2025),Molmo (Deitke et al., 2024) Pangea (Yue et al., 2025), and Qwen2.5-VL model family (Qwen-Team,2025).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.179, 0.201, 0.882, 0.208], [0.117, 0.215, 0.881, 0.224], [0.118, 0.235, 0.882, 0.244], [0.118, 0.249, 0.883, 0.261], [0.118, 0.266, 0.17, 0.277]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Our key contributions and findings are highlighted here:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.17, 0.266, 0.607, 0.276]]}]}, 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include5+topics, with the rest focusing on multi-subtopics like mathematics or engineering.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.605, 0.349, 0.854, 0.359], [0.859, 0.35, 0.879, 0.359], [0.161, 0.368, 0.801, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "Questions emphasize vision grounded reasoning through tasks like interpreting graphs, pictures, and region-specific diagrams, supported by fine-grained metadata for model diagnostics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.801, 0.368, 0.881, 0.376], [0.161, 0.386, 0.881, 0.393], [0.161, 0.404, 0.811, 0.41]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "·Modality-Specific Performance 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(Cohere-For-AI-Team, 2025),Molmo-7B-D (Deitke et al., 2024),PPangea-7B (Yue et al., 2025), and all sizes of Qwen2.5-VL-Instruct (Qwen-Team, 2025) (3B,7B,32B, and 72B) to analyze the impact of model scale on KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.333, 0.197, 0.881, 0.201], [0.118, 0.211, 0.882, 0.22], [0.117, 0.229, 0.883, 0.239], [0.117, 0.249, 0.32, 0.256]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "All models have image and multilingual support; Aya-Vision supports 23 languages, Qwen2.5-VL supports 29 languages, and Pangea was trained on a dataset spanning 39 different languages, making them strong candidates for multimodal and multilingual evalua-tion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.32, 0.249, 0.881, 0.256], [0.117, 0.263, 0.881, 0.274], [0.117, 0.28, 0.881, 0.287], [0.117, 0.298, 0.154, 0.307]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "For the closed models, we evaluate GPT-4o (OpenAI et al., 2024) (2024/08/06), Claude 3.5Sonnet (Anthropic, 2024) (2024/10/22), and Gemini 1.5 Pro (Google et al., 2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.154, 0.298, 0.88, 0.306], [0.117, 0.314, 0.757, 0.323]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "3.2 Evaluation Setup", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.117, 0.357, 0.323, 0.37]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "We designed two distinct evaluation setups to accommodate VLMs' varying reasoning and instruction-following capabilities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.117, 0.387, 0.891, 0.397], [0.117, 0.404, 0.283, 0.414]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "For closed models, we designed zero-shot prompts using the Chain-of-Thought (CoT) method (Wei et al., 2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.283, 0.404, 0.879, 0.414], [0.117, 0.42, 0.384, 0.431]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "The prompt instructs the model to reason through the correct answer and to write the chosen option within specific <ANSWER> </ANSWER> tags.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.384, 0.42, 0.88, 0.431], [0.117, 0.442, 0.761, 0.448]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "This approach is natural and aligns the real-world application of MCQs, encouraging the model to generate a step-by-step reasoning before selecting the final answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.761, 0.442, 0.88, 0.448], [0.117, 0.455, 0.881, 0.465], [0.117, 0.475, 0.556, 0.482]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "We define a common template,ensuring equal evaluation conditions for all models (see Appendix A.5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.556, 0.475, 0.881, 0.484], [0.117, 0.493, 0.603, 0.5]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "The instructions were translated to all the evaluated languages, creating a fully in-language setup, following the methodology proposed by Romanou et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.603, 0.493, 0.881, 0.5], [0.117, 0.51, 0.881, 0.517], [0.117, 0.524, 0.264, 0.534]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "(2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.264, 0.524, 0.326, 0.535]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "The selected choice is extracted using string matching of the tags.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.326, 0.524, 0.843, 0.534]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "For the smaller open-weight models, which typically have limited capacity for complex reasoning,CoT prompting proved less effective in our preliminary experiments (see Appendix A.7 for details).Therefore, we implemented a direct answer generation approach, instructing the models to produce a JSON output containing their choice within a predefined 'choice' field.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.117, 0.557, 0.883, 0.569], [0.118, 0.575, 0.882, 0.585], [0.118, 0.592, 0.881, 0.602], [0.117, 0.612, 0.716, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "The instruction was always in English, independent of the question language (see Appendix A.5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.716, 0.612, 0.881, 0.619], [0.117, 0.629, 0.717, 0.636]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "This setup simplifies the task,reducing errors related to multi-step reasoning or formatting inconsistencies, and ensuring a straightforward answer extraction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.717, 0.629, 0.881, 0.636], [0.117, 0.645, 0.881, 0.655], [0.117, 0.664, 0.404, 0.671]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "Further discussion about model output error analysis can be found in section 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.404, 0.664, 0.881, 0.67], [0.117, 0.678, 0.262, 0.688]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "3.3 Evaluation Metrics", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.117, 0.72, 0.338, 0.731]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "Given the multiple-choice nature of the task, we use accuracy as the primary evaluation metric.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.117, 0.751, 0.852, 0.761]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "We report overall accuracy across all questions, as well as accuracy on the subset of questions where the model produces valid responses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.852, 0.751, 0.881, 0.761], [0.117, 0.771, 0.881, 0.778], [0.117, 0.788, 0.365, 0.795]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "A respponse is considered valid if the model successfully provides an answer in the expected format and selects a valid option (i.e., one of the letters A, B, C, D).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.365, 0.788, 0.88, 0.795], [0.117, 0.806, 0.825, 0.812]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "Invalid responses typically result from missing the selected choice, selecting an invalid option, or refusal to answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.825, 0.806, 0.881, 0.812], [0.117, 0.823, 0.881, 0.83], [0.125, 0.84, 0.178, 0.846]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "To quantify these cases, we report the Format Error Rate, which measures the proportion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.178, 0.84, 0.88, 0.847]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "3All open-weight models are evaluated locally using1xNVIDIA Ampere A100 GPU with 64GB of memory for models up to 8B, and 4xA100 for models on the range 32B-72B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.142, 0.861, 0.486, 0.872], [0.493, 0.864, 0.883, 0.867], [0.117, 0.88, 0.549, 0.886]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 9, "global_sentence_id": 175, "edu_l1_label": "EDU_O"}, {"txt": "To ensure a consistent evaluation environment,we set the temperature to 0.7, the maximum token generation to 1024, and the image size to 512x512 for all models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.549, 0.88, 0.881, 0.886], [0.118, 0.893, 0.871, 0.899]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 9, "global_sentence_id": 176, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 10, "global_sentence_id": 177, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.118, 0.092, 0.879, 0.328]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 178, "edu_l1_label": "EDU_O"}, {"txt": "Table 2: Performance Evaluation on KALEIDOSCOPE. Results are reported as macro-averaged accuracy ($\\%$) across all languages (equal weight per language). Acc.: Accuracy over all samples;F.E.: Format Error rate (invalid responses); Valid Acc.: Accuracy excluding invalid responses.Metrics are shown for the full dataset (Overall), multimodal inputs (Multimodal), and text-only inputs (Text-only).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.346, 0.885, 0.427]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 179, "edu_l1_label": "EDU_O"}, {"txt": "of questions for which the model fails to generate a valid answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.117, 0.462, 0.615, 0.469]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "For grouped results, we report the macro average across languages, i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.615, 0.462, 0.881, 0.468], [0.117, 0.479, 0.398, 0.485]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "all languages have equal weight when computing the score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.398, 0.479, 0.859, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "4 Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.117, 0.52, 0.237, 0.533]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 183, "edu_l1_label": "BOS"}, {"txt": "4.1 Overall Performance", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.117, 0.557, 0.353, 0.567]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "We benchmark a wide variety of models on KALEIDOSCOPE and present the main results in Table 2.Claude 3.5 Sonnet achieves the highest overall accuracy (62.91$\\%$), followed closely by Gemini 1.5Pro $(62.10\\%$).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.115, 0.586, 0.885, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "GPT-4o performs notably worse $(58.32\\%$), with a high format error rate (6.52%overall, with at $10.50\\%$ for the multimodal split).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.115, 0.586, 0.885, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "However, when considering only valid answers,GPT-4o's performance improves significantly$(+3.$78percentage points), closing the gap with other closed models and highlighting the impact of format errors (see Section 5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.115, 0.586, 0.885, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "Among open-weight models, Qwen2.5-VL-72B achieves the highest accuracy (52.94%), which is expected given its larger number of parameters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.114, 0.706, 0.885, 0.787]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "In the lightweight category ($\\leq$8B parameters),Qwen2.5-VL-7B outperforms all others in both multimodal and text-only questions, with accuracy of $39.56\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.114, 0.706, 0.885, 0.787]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "Open models generally maintain low format error rates, except for Pangea, which has the highest format error rate at $13\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.114, 0.706, 0.885, 0.787]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "Table 2 also summarizes results for both the multimodal and text-only benchmark splits.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.118, 0.81, 0.824, 0.82]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "Across all models, multimodal performance is lower than text-only, with a larger drop for closed models:GPT-4o drops 21.6 accuracy points overall (10.29 points for valid answers).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.824, 0.81, 0.881, 0.819], [0.117, 0.83, 0.882, 0.836], [0.118, 0.844, 0.716, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "Open-weight models show smaller gaps, with Molmo having the narrowest gap of only 3.69 accuracy points, though multimodal performance remains lower.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.716, 0.844, 0.881, 0.854], [0.117, 0.863, 0.88, 0.871], [0.117, 0.881, 0.426, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "Among lightweight models, Qwen2.5-VL-7B leads on both splits, with a relatively small gap, followed by Aya-Vision-8B on text-only samples and Qwen2.5-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.426, 0.881, 0.88, 0.888], [0.117, 0.899, 0.881, 0.905]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.494, 0.936, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 195, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.114, 0.085, 0.49, 0.39]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 196, "edu_l1_label": "EDU_O"}, {"txt": "(a) Accuracy as a function of modality.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.16, 0.39, 0.442, 0.401]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 197, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.513, 0.09, 0.886, 0.387]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 198, "edu_l1_label": "EDU_O"}, {"txt": "(b) Accuracy as a function of textual script.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.541, 0.389, 0.857, 0.402]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 199, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: Model Performance Analysis on KALEIDOSCOPE. (a) Accuracy (%) of models on multimodal and text-only questions, highlighting low performmance on multimodal samples. (b)Accuracy (%) by script type, revealing biases for latin scripts. Accuracy over valid responses is used to generate both figures. Identity line is added to show parity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.115, 0.417, 0.883, 0.482]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 200, "edu_l1_label": "EDU_O"}, {"txt": "VL-3B in the multimodal split.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.117, 0.513, 0.369, 0.523]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "Closed models perform well on text-only questions,highlighting their strength in this modality buit also the challenges of multimodal processing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.369, 0.513, 0.881, 0.524], [0.117, 0.532, 0.752, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "In contrast,the smaller variation in performance across both splits by open-weight models suggests that they are less specialized, with lower overall performance but greater robustness in multimodal tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.752, 0.532, 0.881, 0.54], [0.116, 0.551, 0.881, 0.557], [0.117, 0.568, 0.784, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "Lightweight models exhibit similar behavior across script types and modalities (Figure 2a), with Molmo showing the most balanced performance between Multimodal vs. text-only samples and Latin vs. non-Latin scripts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.784, 0.568, 0.879, 0.574], [0.117, 0.585, 0.881, 0.593], [0.117, 0.6, 0.881, 0.609], [0.117, 0.619, 0.174, 0.626]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "4.2 Not All Image Types are Equal", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.117, 0.658, 0.449, 0.669]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "KALEIDOSCOPE contains eight visual information types, with accuracy varying significantly by com-plexity (Table 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.12, 0.689, 0.88, 0.699], [0.117, 0.71, 0.257, 0.717]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "Simpler inputs like text-rich images (Qwen2.5-VL-7B:76.3%;GPT-4o: 86.2%)and photos score higher than technical categories like Formulas and Diagrams (Qwen2.5-VL-7B:38.0%; GPT-4o: 62.9%).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.257, 0.71, 0.88, 0.718], [0.117, 0.727, 0.881, 0.733], [0.117, 0.741, 0.315, 0.751]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Notably, Qwen2.5-VL-72B ranks second in text-rich images, surpassing both Gemini and Claude.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.315, 0.741, 0.881, 0.752], [0.117, 0.757, 0.314, 0.768]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "Larger models show specialized strengths: Gemini 1.5 Pro dominates For-mulas and Figures, GPT-4o leads in text-rich images, and Claude 3.5 Sonnet achieves the highest scores in Diagrams, Graphs, and Maps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.314, 0.757, 0.881, 0.765], [0.121, 0.778, 0.879, 0.785], [0.117, 0.795, 0.431, 0.801]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "In contrast, Qwen2.5-VL-7B consistently outperforms all lightweight models across categories, demonstrating broader capability despite lower absolute scores.The results reveal a clear hierarchy: models handle simple visuals well but struggle with structured or symbolic data, a pattern consistent across architectures but more pronounced in smaller models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.431, 0.795, 0.883, 0.802], [0.118, 0.809, 0.882, 0.819], [0.118, 0.825, 0.881, 0.835], [0.117, 0.847, 0.883, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.493, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 211, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.09, 0.883, 0.338]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 212, "edu_l1_label": "EDU_O"}, {"txt": "Table 3: Model Performance Breakdown by Image Type in KALEIDOSCOPE. Accuracy (%)over valid answers across image type. Bold values indicate top-performing model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.115, 0.354, 0.882, 0.384]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": "4.3 Resource and Script Sensitivity in Models", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.116, 0.415, 0.547, 0.426]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 3, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "Performance in KALEIDOSCOPE varies widely across all 18 languages (see Figure 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.117, 0.446, 0.781, 0.456]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "Models gen-erally perform well in high-resource languages (e.g., English, Spanish, German) but struggle with lower-and mid-resource ones, such as Nepali and Telugu.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.781, 0.446, 0.881, 0.456], [0.117, 0.466, 0.88, 0.472], [0.117, 0.48, 0.577, 0.49]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "This can be attributed to the limited training data for these languages, complex scripts, and the exclusive use of multimodal samples for these languages (see Table 1), which are inherently more challenging.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.577, 0.48, 0.881, 0.49], [0.117, 0.499, 0.881, 0.507], [0.117, 0.515, 0.68, 0.525]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "Lithuanian, despite being mid-resource language, stands out as the highest-performing language, with Claude 3.5 Sonnet lead-ing in overall accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.68, 0.515, 0.881, 0.525], [0.12, 0.535, 0.878, 0.541], [0.117, 0.549, 0.297, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "This might be due the fact that all Lithuanian questions belong to College Graduation Exams, and have a major subject composition of Social Sciences and Humanities in opposition to STEM subjects, which may align well with the models' capabilities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.297, 0.549, 0.881, 0.559], [0.117, 0.566, 0.88, 0.575], [0.117, 0.586, 0.762, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "Closed models show similar performance within each language, except for German, where Claude excels.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.762, 0.586, 0.881, 0.592], [0.117, 0.602, 0.821, 0.61]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "In con-trast, Qwen2.5-VL-7B consistently leads all lightweight models for almost every language,and the heavier Qwen2.5-VL-72B shows the benefits of model scale.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.821, 0.602, 0.881, 0.609], [0.117, 0.618, 0.881, 0.626], [0.117, 0.634, 0.579, 0.644]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "The results show that all models are biased towards Latin script languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.118, 0.669, 0.699, 0.678]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "As shown in Figure 2b,all models are above the parity line, exhibiting consistent higher performance for Latin scripts compared to non-Latin scripts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.699, 0.669, 0.883, 0.68], [0.117, 0.689, 0.881, 0.695], [0.117, 0.706, 0.359, 0.712]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "Full results can be found in Table 9.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.359, 0.706, 0.647, 0.712]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "4.4 STEM Questions Expose Model Deficiencies", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.117, 0.745, 0.574, 0.756]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "KALEIDOSCOPE consists of exams covering 14 subjects and domains, with Table 4 summarizing model performance on the multimodal split across subjects.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.121, 0.776, 0.881, 0.787], [0.117, 0.795, 0.592, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "We observe that all models perform significantly better on Humanities & Social Science questions compared to other domains.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.592, 0.795, 0.874, 0.802], [0.117, 0.812, 0.841, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "The closed models achieve high accuracy in areas like Sociology (Claude: 93.4%, GPT-4o: 93.2%), So-cial Sciences (GPT-4o: 88.1%, Gemini: 85.7%), and Language (GPT-4o: 85.8%, Claude: 85.5%).In contrast, performance in STEM subjects, including Mathematics, Physics, and Engineering, is notably lower, with most models scoring below 50%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.841, 0.812, 0.881, 0.82], [0.117, 0.83, 0.881, 0.836], [0.117, 0.847, 0.882, 0.854], [0.117, 0.86, 0.88, 0.871], [0.117, 0.881, 0.531, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "This suggests that while they are generally capable of recognizing visual content and retrieving surface-level knowledge, they fall short when", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.531, 0.881, 0.881, 0.89], [0.117, 0.898, 0.88, 0.905]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.49, 0.938, 0.511, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 8, "global_sentence_id": 230, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.114, 0.085, 0.886, 0.369]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: Multimodal Accuracy by Language in KALEIDOSCOPE. Reports performance (ac-curacy %) for closed models and open-weight models on multimodal questions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.115, 0.375, 0.883, 0.405]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 232, "edu_l1_label": "EDU_O"}, {"txt": "it comes to performing the multi-step reasoning and problem-solving required in STEM subjects.Answering these questions often demands not just factual recall but also the ability to interpret complex diagrams, apply mathematical concepts, and reason through scientific principles - capa-bilities that current models have yet to fully master.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.117, 0.437, 0.882, 0.446], [0.118, 0.454, 0.88, 0.463], [0.117, 0.474, 0.881, 0.48], [0.117, 0.487, 0.533, 0.498]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "This highlights a key gap in their ability to bridge perception and reasoning, particularly in tasks that require deeper analytical thinking.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.533, 0.487, 0.881, 0.498], [0.117, 0.504, 0.844, 0.515]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "5 Analysis", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.117, 0.549, 0.248, 0.562]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 235, "edu_l1_label": "BOS"}, {"txt": "5.1 How Sensitive Are VLMs to Missing or Incorrect Images?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.117, 0.585, 0.69, 0.597]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "To evaluate the dependency of multimodal questions on images, and the impact of incorrect image associations,we conducted an experiment using the multimodal split of KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.118, 0.616, 0.881, 0.626], [0.117, 0.637, 0.819, 0.644]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "Follow-ing Elliott (2018); Thomason et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.819, 0.637, 0.881, 0.643], [0.117, 0.652, 0.393, 0.661]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "(2019), we created two modified versions of the dataset: (1) a 'No Image' split, where all images were removed, and (2) a 'Random Image' split,where images were randomly reassigned to questions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.393, 0.652, 0.881, 0.661], [0.119, 0.669, 0.883, 0.677], [0.117, 0.688, 0.433, 0.694]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "The aim of this experiment is to assess how much the models rely on the visual information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.433, 0.688, 0.881, 0.695], [0.117, 0.705, 0.421, 0.711]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "We evaluate the performance of Qwen2.5-VL-7B on these modified splits, and the results are shown in Table 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.421, 0.705, 0.881, 0.711], [0.117, 0.722, 0.53, 0.729]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "We observe that the model performs above the random baseline (25%) across all three splits, indi-cating some ability to reason from text alone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.119, 0.753, 0.88, 0.763], [0.117, 0.773, 0.472, 0.78]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "However, there is a drop in performance (-3.41% in Total Accuracy) when questions are presented without images, suggesting that the model does rely on visual information for accurate answers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.472, 0.773, 0.88, 0.78], [0.118, 0.787, 0.881, 0.799], [0.117, 0.808, 0.45, 0.815]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "The performance drop is similar for both modifications;however, we observe a significantly larger format error when the model is tested with irrelevant im-ages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.45, 0.808, 0.882, 0.816], [0.117, 0.822, 0.88, 0.831], [0.117, 0.842, 0.158, 0.849]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "In several of these cases, the model actually acknowledges that the image does not correspond to the question.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.158, 0.842, 0.881, 0.849], [0.117, 0.857, 0.243, 0.866]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "In contrast, in experiments with no images, the format error rate is almost zero,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.243, 0.857, 0.883, 0.867]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.492, 0.938, 0.508, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 8, "global_sentence_id": 247, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.187, 0.092, 0.802, 0.509]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 248, "edu_l1_label": "EDU_O"}, {"txt": "Table 4: Subject-wise Performance on KALEIDOSCOPE's Multimodal Questions. Valid accuracy ($\\%$) across examination subjects for multimodal samples, with bold highlighting top-performing models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.115, 0.52, 0.885, 0.568]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 249, "edu_l1_label": "EDU_O"}, {"txt": "indicating that the model attempts to answer even when visual inputs are missing.4", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.117, 0.6, 0.767, 0.604]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "5.2 Scaling Model Size Improves Performance", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.117, 0.642, 0.551, 0.653]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "To analyze the impact of model size on KALEIDOSCOPE performance, we evaluated all four variants of Qwen2.5-VL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.118, 0.672, 0.881, 0.682], [0.117, 0.692, 0.239, 0.699]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "We selected this model family for its well-distributed size range, as well as being the best performing model in the open weight model category.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.239, 0.692, 0.881, 0.701], [0.117, 0.708, 0.613, 0.717]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "We follow the same experimental setup for all model versions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.613, 0.708, 0.882, 0.716], [0.116, 0.727, 0.336, 0.734]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "Figure 4 shows the performance of Qwen2.5-VL variants on KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.118, 0.758, 0.721, 0.768]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "Model size is shown in the x-axis (log-scale), while the y-axis displays accuracy for multimodal and text-only splits, and overall score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.721, 0.758, 0.88, 0.768], [0.117, 0.776, 0.881, 0.785], [0.117, 0.795, 0.219, 0.802]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "We observe a linear relationship between the logarithm of the model size and accuracy,with larger models showing significant gains.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.219, 0.795, 0.883, 0.804], [0.118, 0.812, 0.47, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "The largest open model model evaluated, Qwen2.5-VL-72B,still underperforms the closed models, however, these results highlight the effectiveness of scaling for open models, with clear and predictable improvements at each size tier.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.47, 0.812, 0.881, 0.819], [0.118, 0.826, 0.882, 0.836], [0.117, 0.847, 0.759, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "${}^{4}\\mathrm {We}$observed that Qwen2.5-VL-7B tends to hallucinate when no image is present.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.115, 0.867, 0.884, 0.907]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 259, "edu_l1_label": "EDU_O"}, {"txt": "In a simple experiment using the prompt \"Describe the following image\", the model correctly describes the input image when provided.However, when no image is passed, the model hallucinates and generates a random description.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.115, 0.867, 0.884, 0.907]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 8, "global_sentence_id": 261, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.252, 0.09, 0.752, 0.186]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 262, "edu_l1_label": "EDU_O"}, {"txt": "Table 5: Image Relevance Analysis for Qwen2.5-VL-7B on KALEIDOSCOPE. Model perfor-mance across the standard multimodal, Random Image, and No-Image setups to assess the impact of visual information on question-answering accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.115, 0.202, 0.883, 0.249]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 263, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.187, 0.264, 0.808, 0.436]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 264, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4: Model Size Analysis for Qwen2.5-VL Models. Performance improvement across three model sizes (3B,7B,32B, and 72B parameters) on KALEIDOSCOPE's multimodal tasks, demon-strating consistent gains from increased model capacity. Note that x-axis is shown in log-scale.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.114, 0.444, 0.885, 0.493]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 265, "edu_l1_label": "EDU_O"}, {"txt": "5.3 To What Extent Do Textual Augmentations Boost VLM Capabilities?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.117, 0.525, 0.806, 0.535]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "The significant performance gap between text-only and multimodal responses raises critical ques-tions about the strengths and weaknesses of the visual processing in the tested models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.118, 0.555, 0.88, 0.564], [0.117, 0.573, 0.783, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "In this anal-ysis, we investigate to what extent do visual processing constraints limmit multimodal capabilities,and conversely, can automatically generated textual augmentation improve model performance?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.783, 0.573, 0.882, 0.579], [0.116, 0.592, 0.883, 0.601], [0.117, 0.609, 0.859, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "To explore this direction, we generate synthetic captions (using Gemini 1.5 Pro) and Optical Char-acter Recognition (OCR) text (Tesseract (Smith, 2007)) for all images in KALEIDOSCOPE, aligning with the methodology of (Das et al., 2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.118, 0.641, 0.882, 0.648], [0.117, 0.661, 0.881, 0.669], [0.118, 0.677, 0.455, 0.685]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "Unlike prior work that completely replaces images with text, we evaluate whether a VLM augmented with these textual inputs can boost performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.455, 0.677, 0.88, 0.685], [0.117, 0.693, 0.855, 0.702]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "Table 6 shows the results of augmenting visual inputs with synthetic captions and OCR text across diverse image types in KALEIDOSCOPE, measured by valid accuracy ($\\%$).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.725, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "Overall, the addition of a caption and OCR text improves the performance of the selected models in 5 out of 8 image types.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.725, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 272, "edu_l1_label": "IOS"}, {"txt": "Both models experienced a performance boost coordinately for Graph and Formula.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.725, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "The experiment reveals that the utility of textual augmentation depends critically on image content type.While Gemini 1.5 Pro dominates overall performance, Qwen2.5-VL-7B demonstrates selective gains when provided with captions and OCR: improvements in Graph$(+0.9\\%)$,Photo$(+0.2\\%)$Formula$(+2.4\\%)$,and Text(+3.5%) suggest that textual augmentation aids interpretation of con-tent where visual elements are tightly coupled with symbolic or linguistic features (e.g., labeled axes,embedded text, or mathematical notation).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.725, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "Conversely, performance declines for Diagram $(-0.1\\%)$,Map(-1.3%),and Table ($-$6.3%) with augmentation, implying that synthetic captions", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.725, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 276, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.26, 0.09, 0.743, 0.284]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 277, "edu_l1_label": "EDU_O"}, {"txt": "Table 6: Accuracy on augmented multimodal inputs with image captions. Results are grouped by image type. We report Valid Accuracy $(\\%)$; the highest scores are highlighted in bold for each model. Macro averaged accuracy is reported over language for both methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.114, 0.297, 0.885, 0.345]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 278, "edu_l1_label": "EDU_O"}, {"txt": "may introduce noise or fail to capture structural relationships critical to these categories.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.376, 0.885, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "Gemini's robustness across modalities$(\\leq 2\\%$variation in most categories) suggests its stronger native visual understanding reduces reliance on supplementary text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.376, 0.885, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": "The results underscore that captioning ef-fectiveness is context-dependent: text augmentation benefits models most when (1) visual content inherently contains extractable text (e.g., Photo with signs, Text regions) or (2) symbolic patterns (e.g., formulas, graphs) require disambiguation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.376, 0.885, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "However, for structurally complex or text-sparse images (e.g., Map, Diagram), captioning may not compensate for deficiencies in spatial or relational reasoning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.376, 0.885, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "Full results, including total accuracy and format error, can be found in Table 11.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.376, 0.885, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "5.4 Format Errors", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.117, 0.539, 0.294, 0.549]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 284, "edu_l1_label": "IOS"}, {"txt": "While our experimental setup ensures a majority of answers were extracted from model outputs,we observe occasional failures:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.117, 0.569, 0.883, 0.581], [0.117, 0.589, 0.363, 0.596]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": " models struggle to follow instructions, the outputs contain for-matting errors, or models refuse toanswer (particularly for health-related or ethical questions).Figure 5 shows that unanswered questions concentrate in mid- to low-resource languages,and the distribution accumulates over non-latin scripts, likely due to tokenization challenges, insufficient language-specific training data, or visual-textual alignment difficulties.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.363, 0.589, 0.882, 0.594], [0.12, 0.607, 0.882, 0.614], [0.118, 0.622, 0.881, 0.631], 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"edu_l1_label": "IOS"}, {"txt": "Closed models (Claude 3.5 Sonnet, GPT-4o) display distinct behavior: their refusals concentrate on non-Latin,low-resource languages,but they also show high error rates for English questions,primarily health/medical queries due to policy constraints.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.823, 0.692, 0.881, 0.699], [0.117, 0.71, 0.881, 0.714], [0.117, 0.723, 0.881, 0.735], [0.117, 0.741, 0.507, 0.751]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "This underscores the trade-off between content moderation and benchmark performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.507, 0.741, 0.88, 0.751], [0.117, 0.76, 0.438, 0.768]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": "6 Related Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.117, 0.802, 0.31, 0.816]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 291, "edu_l1_label": "BOS"}, {"txt": "6.1 General Challenges in Multilingual Evaluation of Vision-Language Models", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.117, 0.838, 0.84, 0.849]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "VLMs have demonstrated impressive performance in processing and generating text, interpreting images,and reasoning across multiple modalities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.118, 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"web_segment_id": 1, "global_sentence_id": 296, "edu_l1_label": "EDU_O"}, {"txt": "Figure 5: Distribution of the number of format errors for each model/language combi-nation. The languages are represented in their ISO 639 (set 1) code.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.115, 0.388, 0.883, 0.418]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 297, "edu_l1_label": "EDU_O"}, {"txt": "multimodal benchmarks (Li et al., 2024b;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.117, 0.453, 0.44, 0.46]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": " Vayani et al., 2024; Nayak et al., 2024; Schneider et al.,2025) that assess capabilities such as image captioning, object attribute recognition, and spatial relationship understanding.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.44, 0.453, 0.882, 0.462], [0.118, 0.468, 0.88, 0.478], [0.117, 0.487, 0.332, 0.494]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "However, most existing benchmarks prioritize high-resource languages (e.g.,English (Zang et al., 2024; Schneider et al., 2025) or Chinese (Fu et al., 2023; He et al.,2024)),resulting in significant gaps in multilingual evaluation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.332, 0.487, 0.88, 0.495], [0.118, 0.502, 0.882, 0.514], [0.117, 0.521, 0.536, 0.53]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "This focus creates disparities, particularly in evaluating performance on low-resource non-Latin languages (Hengle et al., 2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.536, 0.521, 0.881, 0.529], [0.117, 0.539, 0.747, 0.546]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "A common strat-egy for lower-resource languages has been to translate existing English benchmarks using tools such as ChatGPT (Lai et al., 2023), GPT-4 (Yue et al.,2025), or Google Translate (Li et al., 2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.747, 0.539, 0.881, 0.545], [0.117, 0.556, 0.88, 0.563], [0.117, 0.573, 0.84, 0.58]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "Such approaches, however, often fail to capture the linguistic and cultural diversity necessary for global applications (Singh et al., 2024a; Huang et al., 2025), may introduce errors or employ uncommon terms,thereby affecting the reliability of assessments, and exacerbate the problems with poverty-conscious language technology (Bird, 2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.84, 0.573, 0.879, 0.58], [0.117, 0.59, 0.882, 0.597], [0.117, 0.607, 0.881, 0.614], [0.117, 0.622, 0.877, 0.631], [0.117, 0.642, 0.469, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "Furthermore, the lack of comprehensive evaluation suites for non-English languages has substantially hindered multilingual generative advancements,limiting LLMs' ability to perform equitably across diverse linguistic landscapes, a challenge par-ticularly critical for evaluating toxicity and biases in multilingual settings (Üstün et al., 2024).Addressing these limitations is essential for ensuring that VLMs perform robustly across a diverse range of real-world scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.469, 0.642, 0.881, 0.649], [0.117, 0.659, 0.883, 0.667], [0.118, 0.673, 0.881, 0.681], [0.117, 0.692, 0.882, 0.7], [0.118, 0.707, 0.881, 0.717], [0.117, 0.727, 0.344, 0.734]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "Recent efforts have attempted to address these shortcomings by incorporating culturally and lin-guistically diverse data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.117, 0.758, 0.88, 0.768], [0.117, 0.779, 0.304, 0.785]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "Only recently have we seen some multilingual benchmarks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.304, 0.779, 0.775, 0.785]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": "For example,in the reasoning space, MMLU-ProX (Xuan et al., 2025) has created a comprehensive reasoning benchmark in 13 languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.775, 0.779, 0.882, 0.788], [0.118, 0.794, 0.881, 0.804], [0.117, 0.81, 0.333, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 307, "edu_l1_label": "IOS"}, {"txt": "Culturally-diverse Multilingual Visual Question Answering Benchmark (CVQA) (Romero et al., 2024) creates culturally relevant multiple-choice questions about images from 30 countries in 31 languages, using local languages which are then translated into English.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.333, 0.81, 0.881, 0.82], [0.117, 0.826, 0.881, 0.836], [0.117, 0.844, 0.86, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 308, "edu_l1_label": "IOS"}, {"txt": "In contrast, KALEIDOSCOPE builds on this work by nearly doubling the number of questions while fo-cusing on 18 languages, thereby allowing for a more in-depth evaluation of each language.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.86, 0.844, 0.88, 0.854], [0.117, 0.864, 0.88, 0.871], [0.118, 0.881, 0.8, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "Moreover,KALEIDOSCOPE focuses on multiple-choice exams covering a wide range of topics beyond cultur-", "language": "english", "position": {"pdf_position": 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pre-existing) split between multimodal and text-only tasks, covering 47 languages (Yue et al., 2025).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.589, 0.098, 0.881, 0.104], [0.117, 0.112, 0.883, 0.121], [0.117, 0.128, 0.746, 0.139]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "Similarly, Vayani et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.746, 0.128, 0.881, 0.139], [0.117, 0.148, 0.163, 0.156]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 314, "edu_l1_label": "IOS"}, {"txt": "(2024) introduce a multimodal benchmark that includes culturally diverse images paired with text across 100 languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.163, 0.148, 0.881, 0.156], [0.118, 0.165, 0.369, 0.173]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 315, "edu_l1_label": "IOS"}, {"txt": "Notably, this benchmark incorporates non-MCQA formats (e.g.,True/False and free-form answers), which is a key distinction from the MCQA format adopted in KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.369, 0.165, 0.882, 0.176], [0.118, 0.18, 0.88, 0.19], [0.118, 0.197, 0.248, 0.207]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 316, "edu_l1_label": "IOS"}, {"txt": "Other benchmarks further illustrate the diversity of evaluation approaches.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.117, 0.232, 0.685, 0.242]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 317, "edu_l1_label": "IOS"}, {"txt": "For instance, MaRVL (Liu et al., 2021) assesses images in binary framework, which limits possible nuances in cultural evalu-ations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.685, 0.232, 0.889, 0.242], [0.117, 0.252, 0.881, 0.258], [0.117, 0.269, 0.171, 0.276]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 318, "edu_l1_label": "IOS"}, {"txt": "CULTURALVQA (Nayak et al., 2024) emphasizes cultural knowledge with approximately 44.1% of its data focusing on rituals and traditions; however, it relies on open-ended questions in English, which contrasts with the MCQA and multilingual approach of KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.171, 0.269, 0.881, 0.277], [0.118, 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"label": "title2", "web_segment_id": 3, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": "Exam-style benchmarks have also advanced the evaluation of VLMs (see Table A.8).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.117, 0.424, 0.782, 0.434]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "Zhang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.782, 0.424, 0.882, 0.434]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "(2023) present M3Exam, a novel benchmark sourced from real human exam questions that tests models in a multilingual, multimodal, and multilevel context using an MCQA framework.", "language": "english", "position": {"pdf_position": 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"english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.742, 0.496, 0.881, 0.503], [0.117, 0.51, 0.881, 0.521], [0.117, 0.527, 0.781, 0.537]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "In contrast,KALEIDOSCOPE differentiates itself by covering a larger number of languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.781, 0.527, 0.882, 0.539], [0.118, 0.544, 0.741, 0.554]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "Das et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.741, 0.544, 0.828, 0.554]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "(2024)present EXAMS-V, a multi-discipline, multimodal, multilingual exam benchmark comprising 20,932multiple-choice questions across 20 school disciplines (spanning natural sciences, social sciences,re-ligion, fine arts, and business).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.828, 0.544, 0.879, 0.555], [0.117, 0.564, 0.881, 0.571], [0.118, 0.581, 0.881, 0.586], [0.117, 0.595, 0.369, 0.605]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 329, "edu_l1_label": "IOS"}, {"txt": "EXAMS-V includes questions in 11 languages from 7 language families and incorporates four categories of multimodal features (scientific symbols,figures,graphs,and tabular data).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.369, 0.595, 0.881, 0.605], [0.118, 0.612, 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"english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.698, 0.244, 0.88, 0.251], [0.117, 0.261, 0.881, 0.268], [0.12, 0.278, 0.346, 0.285]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 375, "edu_l1_label": "IOS"}, {"txt": "By grounding evaluation in authentic exam settings from around the world, our benchmark challenges models to reason about images in ways that mirror human assessment, capturing both linguistic and cultural complexity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.346, 0.278, 0.881, 0.285], [0.117, 0.294, 0.88, 0.303], [0.117, 0.313, 0.597, 0.319]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 376, "edu_l1_label": "IOS"}, {"txt": "Our findings highlight the limitations of current models in handling this intersection of skills:", "language": 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systems are equitable and globally relevant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.761, 0.362, 0.881, 0.371], [0.117, 0.378, 0.881, 0.388], [0.117, 0.395, 0.882, 0.405], [0.118, 0.412, 0.881, 0.422], [0.117, 0.43, 0.573, 0.439]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 379, "edu_l1_label": "IOS"}, {"txt": "Limitations", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.117, 0.474, 0.242, 0.488]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 380, "edu_l1_label": "EDU_O"}, {"txt": "While our benchmark represents an important step toward more representative multilingual multi-modal evaluations, several limitations still remain.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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383, "edu_l1_label": "IOS"}, {"txt": "Second, difficulty levels are not uniformly controlled.Since questions are drawn directly from real-world exams across diverse educational systems,vari-ations in exam design, curricular focus, and intended grade levels introduce potential inconsistency in task complexity across languages and modalities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.477, 0.563, 0.882, 0.569], [0.117, 0.576, 0.88, 0.586], [0.117, 0.597, 0.88, 0.605], [0.117, 0.611, 0.515, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 384, "edu_l1_label": "IOS"}, {"txt": "Further the chosen MCQA question format,in-herent to many exams,has issues, see Appendix B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.515, 0.611, 0.881, 0.62], [0.117, 0.627, 0.511, 0.638]]}]}, 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supercomputer LEONARDO, hosted by CINECA (Italy) and the LEONARDO consortium through an EuroHPC Development Access call (ID:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.117, 0.842, 0.881, 0.852], [0.116, 0.863, 0.88, 0.87], [0.117, 0.881, 0.459, 0.886]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 392, "edu_l1_label": "EDU_O"}, {"txt": "EUHPC_D12_071).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.459, 0.881, 0.621, 0.886]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 393, "edu_l1_label": "EDU_O"}, {"txt": "This work was supported by re-search grant (VIL53122) from Villum Fonden, and by the European Union's Horizon 2020 research", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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"position_id": 22800000, "bbox": [[0.117, 0.673, 0.258, 0.682]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 11, "global_sentence_id": 952, "edu_l1_label": "EDU_O"}, {"txt": "Language-specific keywords are used to structure the prompts consistently across languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 22900000, "bbox": [[0.115, 0.702, 0.883, 0.749]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 953, "edu_l1_label": "EDU_O"}, {"txt": "These include terms for$\"Q$uestion, ${}^{\\prime \\prime }\\mathrm {O}$ptions,\",\"and$\"Ar$nswer\" to be included when generating the prompt.For example:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 22900000, "bbox": [[0.115, 0.702, 0.883, 0.749]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 954, "edu_l1_label": "EDU_O"}, {"txt": "·English:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23000000, "bbox": [[0.143, 0.784, 0.223, 0.791]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 955, "edu_l1_label": "EDU_O"}, {"txt": " {\"question\": \"Question\", \"options\": \"Options\", \"answer\": \"Answer\"}", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23000000, "bbox": [[0.223, 0.784, 0.561, 0.791], [0.583, 0.782, 0.865, 0.792]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 956, "edu_l1_label": "EDU_O"}, {"txt": "·Spanish:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23100000, "bbox": [[0.143, 0.811, 0.227, 0.818]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 957, "edu_l1_label": "EDU_O"}, {"txt": " {\"question\": \"Pregunta\", \"options\":\"Opciones\",\"answer\": \"Respuesta\"}", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23100000, "bbox": [[0.227, 0.811, 0.565, 0.818], [0.585, 0.809, 0.905, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 958, "edu_l1_label": "EDU_O"}, {"txt": "A.5.3 Prompt Examples", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23200000, "bbox": [[0.117, 0.852, 0.325, 0.862]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 15, "global_sentence_id": 959, "edu_l1_label": "EDU_O"}, {"txt": "System messages A.5.1 and Keywords A.5.2 are used to systematically craft the prompt for a model in a specific language.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23300000, "bbox": [[0.117, 0.882, 0.881, 0.892], [0.117, 0.9, 0.289, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 960, "edu_l1_label": "EDU_O"}, {"txt": "We show examples of both a closed and an open model in Table 12.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23300000, "bbox": [[0.289, 0.9, 0.822, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 961, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23400000, "bbox": [[0.49, 0.938, 0.509, 0.946]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 17, "global_sentence_id": 962, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23400000, "bbox": [[0.143, 0.094, 0.874, 0.737]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 963, "edu_l1_label": "EDU_O"}, {"txt": "Respuesta:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23400000, "bbox": [[0.509, 0.744, 0.586, 0.753]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 964, "edu_l1_label": "EDU_O"}, {"txt": "Table 12: Prompt examples in KALEIDOSCOPE. Multimodal prompt samples with interleaved image are shown for an open model and a closed model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23500000, "bbox": [[0.115, 0.77, 0.885, 0.801]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 3, "global_sentence_id": 965, "edu_l1_label": "EDU_O"}, {"txt": "A.6 Captioning & OCR", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23600000, "bbox": [[0.117, 0.842, 0.345, 0.854]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 966, "edu_l1_label": "EDU_O"}, {"txt": "We instantiated Gemini 1.5 Pro with the following instruction to generate synthetic captions from the images in KALEIDOSCOPE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23700000, "bbox": [[0.117, 0.873, 0.874, 0.883], [0.117, 0.892, 0.358, 0.901]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 967, "edu_l1_label": "EDU_O"}, {"txt": "Prompts with image augmentations are shown in Table 13.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23700000, "bbox": [[0.358, 0.892, 0.823, 0.901]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 968, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23800000, "bbox": [[0.49, 0.938, 0.509, 0.946]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 6, "global_sentence_id": 969, "edu_l1_label": "EDU_O"}, {"txt": "Open Model", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 23900000, "bbox": [[0.146, 0.098, 0.257, 0.108]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 1, "global_sentence_id": 970, "edu_l1_label": "EDU_O"}, {"txt": "SYSTEM:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24000000, "bbox": [[0.145, 0.124, 0.198, 0.132]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 971, "edu_l1_label": "EDU_O"}, {"txt": "You are a helpful assistant who answers multiple-choice questions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24100000, "bbox": [[0.145, 0.138, 0.445, 0.146], [0.145, 0.154, 0.347, 0.159]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 972, "edu_l1_label": "EDU_O"}, {"txt": "For each question, output your final answer in JSON format with the following structure:\"choice\":\"The correct option (e.g.,A,B, C, or D)\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24100000, "bbox": [[0.347, 0.154, 0.422, 0.16], [0.145, 0.168, 0.43, 0.174], [0.146, 0.181, 0.459, 0.188], [0.145, 0.193, 0.437, 0.203], [0.145, 0.207, 0.248, 0.214]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 973, "edu_l1_label": "EDU_O"}, {"txt": "ONLY output this format exactly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24100000, "bbox": [[0.248, 0.207, 0.436, 0.215], [0.145, 0.223, 0.206, 0.23]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 974, "edu_l1_label": "EDU_O"}, {"txt": "Do not include any additional text or explanations outside the JSON structure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24100000, "bbox": [[0.206, 0.223, 0.484, 0.229], [0.145, 0.236, 0.475, 0.242]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 975, "edu_l1_label": "EDU_O"}, {"txt": "USER:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24200000, "bbox": [[0.145, 0.263, 0.182, 0.27]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 976, "edu_l1_label": "EDU_O"}, {"txt": "#include<stdio.h>", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.146, 0.275, 0.236, 0.28]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 5, "global_sentence_id": 977, "edu_l1_label": "EDU_O"}, {"txt": "int main(int argc, char *argv[]){", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.147, 0.289, 0.322, 0.296]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 6, "global_sentence_id": 978, "edu_l1_label": "EDU_O"}, {"txt": "$$chara='P';$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.302, 0.243, 0.311]]}]}, "tags": ["equation"], "label": "code", "web_segment_id": 7, "global_sentence_id": 979, "edu_l1_label": "EDU_O"}, {"txt": "$$charb='x';$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.316, 0.243, 0.326]]}]}, "tags": ["equation"], "label": "code", "web_segment_id": 8, "global_sentence_id": 980, "edu_l1_label": "EDU_O"}, {"txt": "$$\\mathrm {c}=(\\mathrm {a}\\&\\mathrm {~b})+{}^{\\prime }\\star ^{\\prime }$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.331, 0.296, 0.341]]}]}, "tags": ["equation"], "label": "code", "web_segment_id": 9, "global_sentence_id": 981, "edu_l1_label": "EDU_O"}, {"txt": "$$chard=(a\\vert b)-'-';$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.346, 0.296, 0.355]]}]}, "tags": ["equation"], "label": "code", "web_segment_id": 10, "global_sentence_id": 982, "edu_l1_label": "EDU_O"}, {"txt": "$$char\\quad e=(a^b)+'+';$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.36, 0.296, 0.37]]}]}, "tags": ["equation"], "label": "code", "web_segment_id": 11, "global_sentence_id": 983, "edu_l1_label": "EDU_O"}, {"txt": "$printf(\"\\%c$ $8c$tc\\n\",c,d,e);", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.172, 0.374, 0.333, 0.384]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 12, "global_sentence_id": 984, "edu_l1_label": "EDU_O"}, {"txt": "return 0;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24300000, "bbox": [[0.173, 0.391, 0.22, 0.397]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 13, "global_sentence_id": 985, "edu_l1_label": "EDU_O"}, {"txt": "1", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24400000, "bbox": [[0.146, 0.405, 0.15, 0.417]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 14, "global_sentence_id": 986, "edu_l1_label": "EDU_O"}, {"txt": "ASCII encoding for relevant characters is given below", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24400000, "bbox": [[0.147, 0.42, 0.338, 0.426]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 15, "global_sentence_id": 987, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24500000, "bbox": [[0.302, 0.432, 0.4, 0.464]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 16, "global_sentence_id": 988, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24500000, "bbox": [[0.185, 0.434, 0.286, 0.464]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 17, "global_sentence_id": 989, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24500000, "bbox": [[0.252, 0.475, 0.313, 0.504]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 18, "global_sentence_id": 990, "edu_l1_label": "EDU_O"}, {"txt": "Caption:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 19, "global_sentence_id": 991, "edu_l1_label": "EDU_O"}, {"txt": " The code initializes character variables 'a' to 'P' and 'b' to ${}^{\\prime }\\mathrm {X}^{\\prime }$.It then calculates 'c','d',and'e'using bitwise operations (&,1,~)and character addition with $,*'$ ,'-',and $'+'$,respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 992, "edu_l1_label": "EDU_O"}, {"txt": "The 'printf' function outputs the characters c, d, and e. Below the code,three tables display ASCII values: one for uppercase letters 'A' to 'Z'(65 to 90),another for lowercase letters 'a' to 'z'(97 to 122), and a third for symbols '*',${}^{\\prime }+{}^{\\prime }$,and'-'(42,43,and 45,respectively).Ellipses (...) within the tables indicate omitted values between the shown characters.OCR: ##include<stdio.$h>$ \\nint main(int argc,\\n \\nchar $a='P';nchar$ $b='x'$;\\nchar $c=$(a &\\nchar$d=(a$ I\\nchar e $=$ (a\\u 201c\\n \\nprintf $(\\backslash \"sc$\\%\\nreturn 0;\\n \\n $\\backslash \\}\\backslash n$\\nchar *argv[]) \\{\\n \\nby $+$ te;\\nb)$-'-$se\\\\n\\\",c,d,e);\\n \\nASCII encoding for relevant characters is given below\\n \\n 42| 43) 45\\n \\n Question: What is printed by the following ANSI C program?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 993, "edu_l1_label": "EDU_O"}, {"txt": "Options: A.)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 994, "edu_l1_label": "EDU_O"}, {"txt": "z K s B.)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 995, "edu_l1_label": "EDU_O"}, {"txt": "122 7583 C.) $*-+D.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 996, "edu_l1_label": "EDU_O"}, {"txt": ")$Px+", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24600000, "bbox": [[0.143, 0.54, 0.494, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 997, "edu_l1_label": "EDU_O"}, {"txt": "Answer:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24700000, "bbox": [[0.146, 0.886, 0.198, 0.895]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 20, "global_sentence_id": 998, "edu_l1_label": "EDU_O"}, {"txt": "Closed Model", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24800000, "bbox": [[0.51, 0.098, 0.632, 0.108]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 21, "global_sentence_id": 999, "edu_l1_label": "EDU_O"}, {"txt": "SYSTEM:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 24900000, "bbox": [[0.509, 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28100000, "bbox": [[0.281, 0.237, 0.853, 0.242], [0.118, 0.252, 0.301, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 1065, "edu_l1_label": "IOS"}, {"txt": "- Neutral Tone:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28200000, "bbox": [[0.115, 0.282, 0.894, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 1066, "edu_l1_label": "IOS"}, {"txt": " Exclude subjective interpretations (e.g., \"messy handwriting\"or \"complex diagram\"') unless style is exam-relevant (e.g.,$\"a$ hand-drawn sketch with annotations\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28200000, "bbox": [[0.115, 0.282, 0.894, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 1067, "edu_l1_label": "IOS"}, {"txt": "A.7 Open-Weight Models CoT Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28300000, "bbox": [[0.116, 0.362, 0.485, 0.372]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 1068, "edu_l1_label": "IOS"}, {"txt": "To benchmark the models, we initially designed a$CoT$ prompt that instructed the models to think step-by-step and then provide the correct answer, marking the choice with the tags <ANSWER></ANSWER>.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28400000, "bbox": [[0.115, 0.391, 0.883, 0.459]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 1069, "edu_l1_label": "IOS"}, {"txt": "However, in preliminary experiments, we found this instruction too complex for mid-to small-sized models (32B-3B), which struggled to follow it consistently.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28400000, "bbox": [[0.115, 0.391, 0.883, 0.459]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 1070, "edu_l1_label": "IOS"}, {"txt": "In Table 14, we compare results using$CoT$versus the direct English-language prompt adopted in our final evaluation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28500000, "bbox": [[0.114, 0.477, 0.885, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1071, "edu_l1_label": "IOS"}, {"txt": "The error rate was considerably higher for most models, even after cleaning and extracting answers with regex matching their typical output formats.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28500000, "bbox": [[0.114, 0.477, 0.885, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1072, "edu_l1_label": "IOS"}, {"txt": "Two exceptions were Pangea and Molmo, which showed lower error rates with theCoT prompt.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28500000, "bbox": [[0.114, 0.477, 0.885, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1073, "edu_l1_label": "IOS"}, {"txt": "However, this was because both ignored the reasoning instruction and simply output the selected option, making extraction easier.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28500000, "bbox": [[0.114, 0.477, 0.885, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1074, "edu_l1_label": "IOS"}, {"txt": "Prompt choice significantly impacted performance: the direct English prompt improved results across all models except Pangea,which remained unchanged.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28500000, "bbox": [[0.114, 0.477, 0.885, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1075, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28600000, "bbox": [[0.157, 0.614, 0.842, 0.811]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 8, "global_sentence_id": 1076, "edu_l1_label": "EDU_O"}, {"txt": "Table 14: Comparison of CoT and direct English prompting on KALEIDOSCOPE for small models.. Reported values are macro-averaged accuracy $\\%$) across all languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28700000, "bbox": [[0.115, 0.828, 0.883, 0.859]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 1077, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28800000, "bbox": [[0.49, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 10, "global_sentence_id": 1078, "edu_l1_label": "EDU_O"}, {"txt": "A.8 Comparison with Other Benchmarks", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 28900000, "bbox": [[0.117, 0.093, 0.503, 0.104]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 1, "global_sentence_id": 1079, "edu_l1_label": "IOS"}, {"txt": "Table A.8 offers a concise comparison of key multimodal benchmarks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29000000, "bbox": [[0.118, 0.124, 0.661, 0.134]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 1080, "edu_l1_label": "IOS"}, {"txt": "MMMU (Yue et al.,2024a),SEED-Bench (Li et al., 2024a), and MME (Fu et al., 2023) are single-language datasets focused mainly on image-text pairs, with SEED-Bench also incorporating video-text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29000000, "bbox": [[0.661, 0.124, 0.882, 0.137], [0.117, 0.141, 0.88, 0.151], [0.117, 0.162, 0.738, 0.169]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 1081, "edu_l1_label": "IOS"}, {"txt": "MME is notably smaller and only partially human-annotated, using mostly true/false formats.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29000000, "bbox": [[0.738, 0.162, 0.881, 0.171], [0.117, 0.18, 0.713, 0.186]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 1082, "edu_l1_label": "IOS"}, {"txt": "In contrast, M3Exam (Zhang et al., 2023), EXAMS-V (Das et al., 2024), and M5 (Schneider & Sitaram, 2024) introduce multilingualism-M5 being the most extensive with 41 languages-though much of its content is not multiple-choice and lacks verified annotations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29000000, "bbox": [[0.713, 0.18, 0.874, 0.186], [0.117, 0.193, 0.881, 0.203], [0.117, 0.213, 0.883, 0.221], [0.117, 0.23, 0.507, 0.237]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 1083, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29100000, "bbox": [[0.125, 0.256, 0.886, 0.468]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 1084, "edu_l1_label": "EDU_O"}, {"txt": "Table 15: Comparison of Multimodal Benchmarks.${}^{\\dagger }\\mathrm {All}$1 but 40 questions are in English that measure machine translation capability from Chinese to English.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29200000, "bbox": [[0.115, 0.48, 0.883, 0.513]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 1085, "edu_l1_label": "EDU_O"}, {"txt": "KALEIDOSCOPE stands out by offering a balanced composition of 20,911 samples across 18 lan-guages, with a strong focus on multimodal reasoning (11,459 Image-Textsamples),comprehensive human annotation, and a consistent multiple-choice setup.", "language": "english", "position": {"pdf_position": 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"global_sentence_id": 1089, "edu_l1_label": "EDU_O"}, {"txt": "Romero et al., 2024; Lu et al., 2022; Yue et al., 2024a) offers a more humman-like evaluation paradigm by providing predefined answer options.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29500000, "bbox": [[0.118, 0.769, 0.874, 0.779], [0.117, 0.785, 0.431, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1090, "edu_l1_label": "EDU_O"}, {"txt": "This reduces ambiguity in scoring and facilitates the cre-ation of evaluation datasets that capture both domain knowledge and linguistic/cultural nuances across languages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29500000, "bbox": [[0.431, 0.785, 0.881, 0.795], [0.117, 0.806, 0.881, 0.812], [0.117, 0.823, 0.255, 0.83]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1091, "edu_l1_label": "EDU_O"}, {"txt": "Although concerns regarding oversaturation and reliance on superficial cues in MCQA exist (Du et al., 2023; Yuksekgonul et al., 2022), these can be mitigated by extending the an-swer option space and applying rigorous filtering strategies (WNang et al., 2024b; Yue et al., 2024a).Our primary challenge lies in the scarcityy of questions that are both multimodal and culturally agnostic.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29500000, "bbox": [[0.255, 0.823, 0.881, 0.83], [0.118, 0.838, 0.881, 0.847], [0.117, 0.858, 0.882, 0.865], [0.117, 0.871, 0.881, 0.883], [0.117, 0.893, 0.188, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 1092, "edu_l1_label": "EDU_O"}, {"txt": "As demonstrated by results from KALEIDOSCOPE and related studies (Maaz et al., 2024;", "language": "english", "position": {"pdf_position": [{"page_number": 0, 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[1650, 1275], "position_id": 29600000, "bbox": [[0.578, 0.095, 0.88, 0.105], [0.117, 0.115, 0.313, 0.121]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 1096, "edu_l1_label": "EDU_O"}, {"txt": "To ensure high data quality, source data in KALEIDOSCOPE are manually verified by qualified processors in accordance with established criteria (2.2), maintaining a clear distinction between verified and unverified data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29600000, "bbox": [[0.313, 0.115, 0.881, 0.123], [0.117, 0.132, 0.881, 0.138], [0.117, 0.145, 0.491, 0.156]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 1097, "edu_l1_label": "EDU_O"}, {"txt": "B.1 Selected Dataset Samples", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29700000, "bbox": [[0.118, 0.188, 0.408, 0.199]]}]}, 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"label": "O", "web_segment_id": 3, "global_sentence_id": 1121, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29900000, "bbox": [[0.144, 0.09, 0.878, 0.851]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 1122, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29900000, "bbox": [[0.708, 0.855, 0.855, 0.865]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 2, "global_sentence_id": 1123, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29900000, "bbox": [[0.49, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 3, "global_sentence_id": 1124, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 29900000, "bbox": [[0.144, 0.091, 0.886, 0.838]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 1125, "edu_l1_label": "EDU_O"}, {"txt": "Table 16: Samples from various exams in the KALEIDOSCOPE benchmark. The correct answer is highlighted in Bold Green. Some samples are reformmatted for better presentation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30000000, "bbox": [[0.111, 0.836, 0.881, 0.868]]}]}, "tags": ["figure_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 1126, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 30100000, "bbox": [[0.49, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 3, "global_sentence_id": 1127, "edu_l1_label": "EDU_O"}], "type": "PDF"}
# Kaleidoscope: In-language Exams forMassively Multilingual Vision Evaluation ## 1 Introduction ## 2 The KALEIDOSCOPE Benchmark ### 2.1 Global Collaboration ### 2.2 Data Pipeline #### Collection: #### Processing: #### Quality Assessment: ### 2.3 Data Statistics ## 3 Experimental Setup ### 3.1 Models ### 3.2 Evaluation Setup ### 3.3 Evaluation Metrics ## 4 Results ### 4.1 Overall Performance ### 4.2 Not All Image Types are Equal ### 4.3 Resource and Script Sensitivity in Models ### 4.4 STEM Questions Expose Model Deficiencies ## 5 Analysis ### 5.1 How Sensitive Are VLMs to Missing or Incorrect Images? ### 5.2 Scaling Model Size Improves Performance ### 5.3 To What Extent Do Textual Augmentations Boost VLM Capabilities? ### 5.4 Format Errors ## 6 Related Work ### 6.1 General Challenges in Multilingual Evaluation of Vision-Language Models ### 6.2 Exam-Style Benchmarks for Vision-Language Models ### 6.3 Participatory Open Science Projects ## 7 Conclusion
6384bbbf-4467-43d4-91e0-4c4b28f891b6
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https://www.nature.com/articles/s41467-025-57193-y
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"txt": "+", "x": "/html/body/div[2]/main/article/div[3]/div[1]/section[2]/div/div/p[12]/sup[4]"}, {"position_id": 2305, "txt": " cells using Cellpose.", "x": "/html/body/div[2]/main/article/div[3]/div[1]/section[2]/div/div/p[12]/sup[4]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": " The resulting objects were tracked using btrack (Supplementary Fig.", "language": "english", "position": {"atoms": [{"position_id": 2306, "txt": " The resulting objects were tracked using btrack (Supplementary Fig.", "x": "/html/body/div[2]/main/article/div[3]/div[1]/section[2]/div/div/p[12]/sup[4]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": " 2).", "language": "english", "position": {"atoms": [{"position_id": 2307, "txt": " ", "x": "/html/body/div[2]/main/article/div[3]/div[1]/section[2]/div/div/p[12]/sup[4]"}, {"position_id": 2309, "txt": "2", "x": 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"/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[1]/p[1]"}, {"position_id": 3177, "txt": "FEBS Lett.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[1]/p[1]/i"}, {"position_id": 3179, "txt": "596", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[1]/p[1]/b"}, {"position_id": 3181, "txt": ", 2472–2485 (2022).", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[1]/p[1]/b"}]}, "tags": ["li", "b"], "label": "reference", "web_segment_id": 143, "global_sentence_id": 591, "edu_l1_label": "EDU_O"}, {"txt": "Leal, J. 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L. et al.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 145, "global_sentence_id": 596, "edu_l1_label": "EDU_O"}, {"txt": " Spatiotemporally distinct interactions with dendritic cell subsets facilitates CD4+ and CD8+ T cell activation to localized viral infection.", "language": "english", "position": {"atoms": [{"position_id": 3195, "txt": " Spatiotemporally distinct interactions with dendritic cell subsets facilitates CD4+ and CD8+ T cell activation to localized viral infection.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 145, "global_sentence_id": 597, "edu_l1_label": "EDU_O"}, {"txt": " Immunity43, 554–565 (2015).", "language": "english", "position": {"atoms": [{"position_id": 3196, "txt": " ", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]"}, {"position_id": 3198, "txt": "Immunity", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]/i"}, {"position_id": 3200, "txt": "43", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]/b"}, {"position_id": 3202, "txt": ", 554–565 (2015).", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[3]/p[1]/b"}]}, "tags": ["li", "b"], "label": "reference", "web_segment_id": 145, "global_sentence_id": 598, "edu_l1_label": "EDU_O"}, {"txt": "Duckworth, B. 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R. et al.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 150, "global_sentence_id": 613, "edu_l1_label": "EDU_O"}, {"txt": " CytoMAP:", "language": "english", "position": {"atoms": [{"position_id": 3247, "txt": " CytoMAP:", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 150, "global_sentence_id": 614, "edu_l1_label": "EDU_O"}, {"txt": " a spatial analysis toolbox reveals features of myeloid cell organization in lymphoid tissues.", "language": "english", "position": {"atoms": [{"position_id": 3248, "txt": " a spatial analysis toolbox reveals features of myeloid cell organization in lymphoid tissues.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 150, "global_sentence_id": 615, "edu_l1_label": "EDU_O"}, {"txt": " Cell Rep.31, 107523 (2020).", "language": "english", "position": {"atoms": [{"position_id": 3249, "txt": " ", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]"}, {"position_id": 3251, "txt": "Cell Rep.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]/i"}, {"position_id": 3253, "txt": "31", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]/b"}, {"position_id": 3255, "txt": ", 107523 (2020).", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[8]/p[1]/b"}]}, "tags": ["b", "li"], "label": "reference", "web_segment_id": 150, "global_sentence_id": 616, "edu_l1_label": "EDU_O"}, {"txt": "Li, W., Germain, R. 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J.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 161, "global_sentence_id": 655, "edu_l1_label": "EDU_O"}, {"txt": " From Louvain to Leiden:", "language": "english", "position": {"atoms": [{"position_id": 3368, "txt": " From Louvain to Leiden:", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 161, "global_sentence_id": 656, "edu_l1_label": "EDU_O"}, {"txt": " guaranteeing well-connected communities.", "language": "english", "position": {"atoms": [{"position_id": 3369, "txt": " guaranteeing well-connected communities.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 161, "global_sentence_id": 657, "edu_l1_label": "EDU_O"}, {"txt": " Sci.", "language": "english", "position": {"atoms": [{"position_id": 3370, "txt": " ", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]"}, {"position_id": 3372, "txt": "Sci.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]/i"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 161, "global_sentence_id": 658, "edu_l1_label": "EDU_O"}, {"txt": " Rep.9, 5233 (2019).", "language": "english", "position": {"atoms": [{"position_id": 3373, "txt": " Rep.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]/i"}, {"position_id": 3375, "txt": "9", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]/b"}, {"position_id": 3377, "txt": ", 5233 (2019).", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[19]/p[1]/b"}]}, "tags": ["li", "b"], "label": "reference", "web_segment_id": 161, "global_sentence_id": 659, "edu_l1_label": "EDU_O"}, {"txt": "Hartigan, J.", "language": "english", "position": {"atoms": [{"position_id": 3379, "txt": "Hartigan, J.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[20]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 162, "global_sentence_id": 660, "edu_l1_label": "EDU_O"}, {"txt": " A.", "language": "english", "position": {"atoms": [{"position_id": 3380, "txt": " A.", "x": "/html/body/div[2]/main/article/div[3]/div[2]/div/section/div/div/div/ol/li[20]/p[1]"}]}, "tags": ["li"], "label": "reference", "web_segment_id": 162, "global_sentence_id": 661, "edu_l1_label": "EDU_O"}, {"txt": " & Wong, M. 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3855, "txt": "Article", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[2]/article/div[2]/div/span[1]"}, {"position_id": 3857, "txt": "07 July 2022", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[2]/article/div[2]/div/span[2]"}]}, "tags": [], "label": "O", "web_segment_id": 250, "global_sentence_id": 853, "edu_l1_label": "EDU_O"}, {"txt": "<img https://media.springernature.com/w215h120/springer-static/image/art%3A10.1038%2Fs42003-024-07378-w/MediaObjects/42003_2024_7378_Fig1_HTML.png", "language": "english", "position": {"atoms": [{"position_id": 338, "txt": "<img https://media.springernature.com/w215h120/springer-static/image/art%3A10.1038%2Fs42003-024-07378-w/MediaObjects/42003_2024_7378_Fig1_HTML.png", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[3]/article/div[1]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 251, "global_sentence_id": 854, "edu_l1_label": "EDU_O"}, {"txt": "ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data ", "language": "english", "position": {"atoms": [{"position_id": 3859, "txt": "ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data ", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[3]/article/div[2]/h3/a"}]}, "tags": ["h3"], "label": "O", "web_segment_id": 252, "global_sentence_id": 855, "edu_l1_label": "EDU_O"}, {"txt": "ArticleOpen access20 December 2024", "language": "english", "position": {"atoms": [{"position_id": 3861, "txt": "Article", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[3]/article/div[2]/div/span[1]"}, {"position_id": 3863, "txt": "Open access", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[3]/article/div[2]/div/span[2]"}, {"position_id": 3865, "txt": "20 December 2024", "x": "/html/body/div[2]/main/article/div[3]/section[2]/div/div[3]/article/div[2]/div/span[3]"}]}, "tags": [], "label": "O", "web_segment_id": 253, "global_sentence_id": 856, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# Cecelia: a multifunctional image analysis toolbox for decoding spatial cellular interactions and behaviour ## Abstract ## Introduction ## Results ### Cecelia as a general-purpose image analysis framework ### Spatial analysis of cellular interactions in complex 3D images using Cecelia ### Quantitative analysis of highly multiplexed 3D images using Cecelia ### Behavioural analysis of immune cell dynamics using Cecelia reveals hidden cell states ### Integration of structural components and cellular flow into live cell quantification using Cecelia ## Discussion ## Methods ### Animals and ethics statement ### Flank scarification, HSV infection and TRITC dye painting ### LCMV infections ### T cell enrichment, labelling and adoptive transfer ### Dye labelling and adoptive transfer ### Confocal microscopy ### Intravital two-photon microscopy ### Statistics and reproducibility ### Image analysis ### Development of Cecelia ### Design and implementation of Cecelia ### Task management in Cecelia ### Installation options ### Running Cecelia with Docker ### Image segmentation and object measurement ### Object storage and access in Cecelia ### Population management in Cecelia ### Population gating in Cecelia ### Cell tracking in Cecelia ### Neighbour detection in Cecelia ### Plotting data in Cecelia
412c6630-186f-46cf-8025-243a1bc0b752
web
test/raw_web_htmls/412c6630-186f-46cf-8025-243a1bc0b752.html
http://www.199it.com/archives/1748430.html
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"在成功采用生成式AI方面，高投资企业与低投资企业之间存在40个百分点的差距。", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "进行大规模战略性投资的企业表现优于同行。", "language": "chinese", "position": {"atoms": [{"position_id": 210, "txt": "进行大规模战略性投资的企业表现优于同行。", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "未被充分利用的AI倡导者资源", "language": "chinese", "position": {"atoms": [{"position_id": 212, "txt": "未被充分利用的AI倡导者资源", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[15]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 18, "global_sentence_id": 23, "edu_l1_label": "BOS"}, {"txt": "在使用AI的员工中有77%已成为或有望成为企业内部的AI倡导者。", "language": "chinese", "position": {"atoms": [{"position_id": 214, "txt": "在使用AI的员工中有77%已成为或有望成为企业内部的AI倡导者。", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "这些员工正在采取行动推动更优的全公司AI实施流程。", "language": "chinese", "position": {"atoms": [{"position_id": 215, "txt": "这些员工正在采取行动推动更优的全公司AI实施流程。", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "从AI倡导者到AI构建者", "language": "chinese", "position": {"atoms": [{"position_id": 217, "txt": "从AI倡导者到AI构建者", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[17]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 20, "global_sentence_id": 26, "edu_l1_label": "BOS"}, {"txt": "AI倡导者不仅热衷于推广AI技术，许多人更希望积极参与解决方案的开发——近98%的AI倡导者已为公司创建过AI工具或有意愿参与开发。", "language": "chinese", "position": {"atoms": [{"position_id": 219, "txt": 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"chinese", "position": {"atoms": [{"position_id": 79, "txt": "<img img", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[20]/a[1]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 23, "global_sentence_id": 30, "edu_l1_label": "EDU_O"}, {"txt": "​文档链接将分享到199IT知识星球，扫描下面二维码即可查阅！", "language": "chinese", "position": {"atoms": [{"position_id": 225, "txt": "​文档链接将分享到199IT知识星球，扫描下面二维码即可查阅！", "x": "/html/body/div[1]/div[3]/div/div/div[1]/div/div/article/div/p[21]/span/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 24, "global_sentence_id": 31, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# WRITER：2025年企业采用生成式AI报告 ## 普遍存在的AI乐观情绪 ## 采用过程中的挑战 ## 权力斗争 ## 员工与雇主之间的认知差异 ## 员工抵触行为 ## AI工具质量低劣 ## 高投入带来高回报 ## 未被充分利用的AI倡导者资源 ## 从AI倡导者到AI构建者 ## 企业需要合作伙伴而非单纯供应商
5342aa2d-9191-43a3-b4b4-1afcde7ef812
web
test/raw_web_htmls/5342aa2d-9191-43a3-b4b4-1afcde7ef812.html
https://mp.weixin.qq.com/s/FQDVZgIPbYRzRyPasavITg
{"entry_id": "5342aa2d-9191-43a3-b4b4-1afcde7ef812", "infos": [{"txt": "中国海油：", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "中国海油：", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "油价趋势分析及投资核心要素", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "油价趋势分析及投资核心要素", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": " 中国海油：", "language": "chinese", "position": {"atoms": [{"position_id": 249, "txt": "\n \n中国海油：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "油价趋势分析及投资核心要素 ", "language": "chinese", "position": {"atoms": [{"position_id": 250, "txt": "油价趋势分析及投资核心要素\n ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 3, "edu_l1_label": "BOT"}, {"txt": "一、石油供需分析（60美元基本是底部区间！", "language": "chinese", "position": {"atoms": [{"position_id": 252, "txt": "一、石油供需分析（60美元基本是底部区间！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/strong/br"}]}, "tags": ["br", "strong"], "label": "title1", "web_segment_id": 40, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": "）", "language": "chinese", "position": {"atoms": [{"position_id": 253, "txt": "）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/strong/br"}]}, "tags": ["br", "strong"], "label": "title1", "web_segment_id": 40, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "一是供给端：", "language": "chinese", "position": {"atoms": [{"position_id": 255, "txt": "一是供给端：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "美国产量占比22%，OPEC+产量占比41.6%+，且是全球最主要的石油出国国。", "language": "chinese", "position": {"atoms": [{"position_id": 256, "txt": "美国产量占比22%，OPEC+产量占比41.6%+，且是全球最主要的石油出国国。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 41, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "亚太地区虽然产油但是自给不足，还要大量进口。", "language": "chinese", "position": {"atoms": [{"position_id": 257, "txt": "亚太地区虽然产油但是自给不足，还要大量进口。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 41, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "1、美国页岩油在油价70-80美元的时候基本不增产，那么网上搜集到的信息认为页岩油60美元的成本线基本可信。", "language": "chinese", "position": {"atoms": [{"position_id": 259, "txt": "1、美国页岩油在油价70-80美元的时候基本不增产，那么网上搜集到的信息认为页岩油60美元的成本线基本可信。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/strong[1]/br"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 42, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "2、OPEC+等国虽然生产成本都低于30美元，但是都是资源型国家，OPEC+普遍因财政对油价依赖极大，比如沙特、伊拉克等国石油收入占财政收入的80%-90%，而俄罗斯等非OPEC国家依赖度相对较低，也有约50%。", "language": "chinese", "position": {"atoms": [{"position_id": 261, "txt": "2、OPEC+等国虽然生产成本都低于30美元，但是都是资源型国家，OPEC+普遍因财政对油价依赖极大，比如沙特、伊拉克等国石油收入占财政收入的80%-90%，而俄罗斯等非OPEC国家依赖度相对较低，也有约50%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 43, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "国家财政平衡成本接近80美元。", "language": "chinese", "position": {"atoms": [{"position_id": 262, "txt": "国家财政平衡成本接近80美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 43, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "回顾近10年，一旦油价低位，一直是促成他们减产的原因和目标。", "language": "chinese", "position": {"atoms": [{"position_id": 263, "txt": "回顾近10年，一旦油价低位，一直是促成他们减产的原因和目标。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 43, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "核心调控目标为维持油价在70美元/桶以上以保障成员国财政稳定。", "language": "chinese", "position": {"atoms": [{"position_id": 264, "txt": "核心调控目标为维持油价在70美元/桶以上以保障成员国财政稳定。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 43, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "二是需求端，根据各大研究机构和券商报告，石油需求稳定增长，随着电动汽车普及（预计2030年渗透率超30%）和可再生能源成本下降，石油需求增速将显著放缓。", "language": "chinese", "position": {"atoms": [{"position_id": 266, "txt": "二是需求端，根据各大研究机构和券商报告，石油需求稳定增长，随着电动汽车普及（预计2030年渗透率超30%）和可再生能源成本下降，石油需求增速将显著放缓。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]/b"}]}, "tags": ["b"], "label": "content", "web_segment_id": 44, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "IEA、高盛等机构预测，全球需求可能在2030-2035年达峰，峰值区间为1.05-1.1亿桶/日，之后以年均0.3%-0.5%速度缓慢下降。", "language": "chinese", "position": {"atoms": [{"position_id": 267, "txt": "IEA、高盛等机构预测，全球需求可能在2030-2035年达峰，峰值区间为1.05-1.1亿桶/日，之后以年均0.3%-0.5%速度缓慢下降。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]/b"}]}, "tags": ["b"], "label": "content", "web_segment_id": 44, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "三是总结：", "language": "chinese", "position": {"atoms": [{"position_id": 269, "txt": "三是总结：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "供给端成本约束和主动管控，需求又还在持续增长，使供需处于紧平衡状态，维持油价70美元以上，且数据也证明70美元也的确是近十年油价中枢。", "language": "chinese", "position": {"atoms": [{"position_id": 270, "txt": "供给端成本约束和主动管控，需求又还在持续增长，使供需处于紧平衡状态，维持油价70美元以上，且数据也证明70美元也的确是近十年油价中枢。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "可以预见当下70美元及以下的油价，不会持续太久。", "language": "chinese", "position": {"atoms": [{"position_id": 272, "txt": "可以预见当下70美元及以下的油价，不会持续太久。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 46, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "参考过去十年油价低于70美元只有3年多，还有接近7年是高于70美元。", "language": "chinese", "position": {"atoms": [{"position_id": 274, "txt": "参考过去十年油价低于70美元只有3年多，还有接近7年是高于70美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 47, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "过去15年油价低于70美元只有4年，其余11年基本高于70美元！", "language": "chinese", "position": {"atoms": [{"position_id": 276, "txt": "过去15年油价低于70美元只有4年，其余11年基本高于70美元！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[3]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "经济学常识告诉我们亏本的生意，长期看必然破产，也不可能长期存在。", "language": "chinese", "position": {"atoms": [{"position_id": 278, "txt": "经济学常识告诉我们亏本的生意，长期看必然破产，也不可能长期存在。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[4]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 49, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "供给小于需求，产品价格上涨，", "language": "chinese", "position": {"atoms": [{"position_id": 279, "txt": "供给小于需求，产品价格上涨，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[4]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 49, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "桶油价格越接近成本盈亏线，石油生产国停产的概率就会更高，生产国一停产，供给快速减少，石油消费具有刚需性，油价自然就上升。", "language": "chinese", "position": {"atoms": [{"position_id": 281, "txt": "桶油价格越接近成本盈亏线，石油生产国停产的概率就会更高，生产国一停产，供给快速减少，石油消费具有刚需性，油价自然就上升。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[5]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 50, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "价格超过70美元，生产国又会扩产，不久后产能又会过剩，价格下跌，周而复始。", "language": "chinese", "position": {"atoms": [{"position_id": 282, "txt": "价格超过70美元，生产国又会扩产，不久后产能又会过剩，价格下跌，周而复始。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[5]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 50, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "两大阵营的桶油价格生命线，就是长期的油价底部。", "language": "chinese", "position": {"atoms": [{"position_id": 284, "txt": "两大阵营的桶油价格生命线，就是长期的油价底部。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[6]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "所以油价未来10年大概率处于70美元以上。", "language": "chinese", "position": {"atoms": [{"position_id": 285, "txt": "所以油价未来10年大概率处于70美元以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[6]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "60美元更是只会出现在1-2年内，反而是投资者快速布局的好时机！", "language": "chinese", "position": {"atoms": [{"position_id": 287, "txt": "60美元更是只会出现在1-2年内，反而是投资者快速布局的好时机！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong/br[7]"}]}, "tags": ["strong", "br"], "label": "content", "web_segment_id": 52, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "二、低成本是中国海油核心竞争优势", "language": "chinese", "position": {"atoms": [{"position_id": 289, "txt": "二、低成本是中国海油核心竞争优势", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 53, "global_sentence_id": 28, "edu_l1_label": "BOS"}, {"txt": "（一）每桶成本：", "language": "chinese", "position": {"atoms": [{"position_id": 291, "txt": "（一）每桶成本：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "海油28美元，圭亚那油田：", "language": "chinese", "position": {"atoms": [{"position_id": 292, "txt": "海油28美元，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}, {"position_id": 294, "txt": "圭亚那油田：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "21美元/桶（净权益成本）；", "language": "chinese", "position": {"atoms": [{"position_id": 295, "txt": "21美元/桶（净权益成本）；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "巴西里贝拉油田：", "language": "chinese", "position": {"atoms": [{"position_id": 296, "txt": "巴西里贝拉油田：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "19美元/桶（净权益成本）；", "language": "chinese", "position": {"atoms": [{"position_id": 297, "txt": "19美元/桶（净权益成本）；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "国内油田：", "language": "chinese", "position": {"atoms": [{"position_id": 298, "txt": "国内油田：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "21.8美元/桶（含天然气成本）。", "language": "chinese", "position": {"atoms": [{"position_id": 299, "txt": "21.8美元/桶（含天然气成本）。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "最受关注的北美页岩油平均成本约为62美元/桶，中东等国在80美元/桶的油价环境下才能达到财政平衡，伊朗则要达到120美元/桶，整个中东地区需在60美元/桶的油价环境下实现财政平衡，因此中东地区对高油价的诉求非常强烈。", "language": "chinese", "position": {"atoms": [{"position_id": 301, "txt": "最受关注的北美页岩油平均成本约为62美元/桶，中东等国在80美元/桶的油价环境下才能达到财政平衡", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[2]"}, {"position_id": 303, "txt": "，伊朗则要达到120美元/桶，整个中东地区需在60美元/桶的油价环境下实现财政平衡，因此中东地区对高油价的诉求非常强烈。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "沙特阿美完全成本15-20美元，俄罗斯石油公司20-30美元；", "language": "chinese", "position": {"atoms": [{"position_id": 305, "txt": "沙特阿美完全成本15-20美元，俄罗斯石油公司20-30美元；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "美国页岩油企业：", "language": "chinese", "position": {"atoms": [{"position_id": 306, "txt": "美国页岩油企业：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "EOG能源：", "language": "chinese", "position": {"atoms": [{"position_id": 307, "txt": "EOG能源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "平衡油价约40美元/桶；", "language": "chinese", "position": {"atoms": [{"position_id": 308, "txt": "平衡油价约40美元/桶；", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "康菲石油：", "language": "chinese", "position": {"atoms": [{"position_id": 310, "txt": "康菲石油：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 55, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "桶油成本约32美元/桶（含折旧摊销）", "language": "chinese", "position": {"atoms": [{"position_id": 311, "txt": "桶油成本约32美元/桶（含折旧摊销）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 55, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "深水项目：", "language": "chinese", "position": {"atoms": [{"position_id": 313, "txt": "深水项目：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[2]"}]}, "tags": ["strong", "br"], "label": "content", "web_segment_id": 56, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "成本高于50美元/桶", "language": "chinese", "position": {"atoms": [{"position_id": 314, "txt": "成本高于50美元/桶", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "西方石油（OXY）：", "language": "chinese", "position": {"atoms": [{"position_id": 316, "txt": "西方石油（OXY）：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[3]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 57, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "页岩油成本约35美元/桶", "language": "chinese", "position": {"atoms": [{"position_id": 317, "txt": "页岩油成本约35美元/桶", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[3]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 57, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "雪佛龙（Chevron）完全成本：", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "雪佛龙（Chevron）完全成本：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[4]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "约44.7美元/桶（含折旧摊销）", "language": "chinese", "position": {"atoms": [{"position_id": 320, "txt": "约44.7美元/桶（含折旧摊销）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[3]/br[4]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "（二）桶油利润：", "language": "chinese", "position": {"atoms": [{"position_id": 322, "txt": "（二）桶油利润：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "参考雪球C大和会计务工人员的文章：", "language": "chinese", "position": {"atoms": [{"position_id": 323, "txt": "参考雪球C大和会计务工人员的文章：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "油价93美元的油价时中海油桶利润34.81美元，83美元是桶净利润30.95美元，70美元时桶净利润26.06美元，63美元时桶净利润22.28美元，50美元时桶利润15.22美元，43美元时桶利润11.32美元。", "language": "chinese", "position": {"atoms": [{"position_id": 325, "txt": "油价93美元的油价时中海油桶利润34.81美元，83美元是桶净利润30.95美元，70美元时桶净利润26.06美元，63美元时桶净利润22.28美元，50美元时桶利润15.22美元，43美元时桶利润11.32美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "24年上半年油价平均不低于75美元，中海油2024Q1每桶净利润31美元，", "language": "chinese", "position": {"atoms": [{"position_id": 327, "txt": "24年上半年油价平均不低于75美元，中海油2024Q1每桶净利润31美元，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 60, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "沙特阿美2024Q1桶净利润24美元，", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "沙特阿美2024Q1桶净利润24美元，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 61, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "2024H1西方石油的桶净利润只有6.12美元，", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "2024H1西方石油的桶净利润只有6.12美元，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[3]"}]}, "tags": ["strong", "br"], "label": "content", "web_segment_id": 62, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "2024H1美孚的美国产区上游桶净利润12.98美元，", "language": "chinese", "position": {"atoms": [{"position_id": 333, "txt": "2024H1美孚的美国产区上游桶净利润12.98美元，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[4]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 63, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "2024H1赫斯的美国产区继续亏损0.74美元/桶，", "language": "chinese", "position": {"atoms": [{"position_id": 335, "txt": "2024H1赫斯的美国产区继续亏损0.74美元/桶，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[5]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 64, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "大中型页岩油公司EOG的2024H1桶净利润18.4美元。", "language": "chinese", "position": {"atoms": [{"position_id": 337, "txt": "大中型页岩油公司EOG的2024H1桶净利润18.4美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[6]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 65, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "墨西哥的PEMEX几乎跟中海油同样的产能规模，2024Q2亏损137亿美元。", "language": "chinese", "position": {"atoms": [{"position_id": 339, "txt": "墨西哥的PEMEX几乎跟中海油同样的产能规模，2024Q2亏损137亿美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong[2]/br[7]"}]}, "tags": ["strong", "br"], "label": "content", "web_segment_id": 66, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "2、中海油天然气桶利润24.65美元，天然气由于长协价且长协价低于市场价，利润较为稳定可预期，相当于油价70美元的桶利润。", "language": "chinese", "position": {"atoms": [{"position_id": 341, "txt": "2、中海油天然气桶利润24.65美元，天然气由于长协价且长协价低于市场价，利润较为稳定可预期，相当于油价70美元的桶利润。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "海油天然气的成本在0.6-0.8元，售价在1.8-2.5元间，考虑到结合国内天然气价格市场化稳定上涨，毛利1.5上下。", "language": "chinese", "position": {"atoms": [{"position_id": 343, "txt": "海油天然气的成本在0.6-0.8元，售价在1.8-2.5元间，考虑到结合国内天然气价格市场化稳定上涨，毛利1.5上下。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 68, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "算法1：", "language": "chinese", "position": {"atoms": [{"position_id": 345, "txt": "算法1：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "雪球C大文章中天然气正常非常低的成本大概17美元／桶当量左右而且深海天然气15％所得税税率，天然气桶净利润（46-17）=29*0.85=24.65美元，低于中海油平均桶利润31美元呢。", "language": "chinese", "position": {"atoms": [{"position_id": 346, "txt": "雪球C大文章中天然气正常非常低的成本大概17美元／桶当量左右而且深海天然气15％所得税税率，天然气桶净利润（46-17）=29*0.85=24.65美元，低于中海油平均桶利润31美元呢。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "未来随心协议价提升，天然气桶利润还会提高", "language": "chinese", "position": {"atoms": [{"position_id": 347, "txt": "未来随心协议价提升，天然气桶利润还会提高", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "算法2：", "language": "chinese", "position": {"atoms": [{"position_id": 349, "txt": "算法2：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 69, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "每立方米天然气相当0.006427桶。", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "每立方米天然气相当0.006427桶。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 69, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "成本0.6元/方，售价2元/方", "language": "chinese", "position": {"atoms": [{"position_id": 352, "txt": "成本0.6元/方，售价2元/方", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 70, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "已知天然气利润为1.4元每方，则相当于每桶价格为1.4/0.006427=217.83元。", "language": "chinese", "position": {"atoms": [{"position_id": 354, "txt": "已知天然气利润为1.4元每方，则相当于每桶价格为1.4/0.006427=217.83元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]/br[3]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 71, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "217.86/7.2=30.25美元/桶*0.85=25.7125美元。", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": "217.86/7.2=30.25美元/桶*0.85=25.7125美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/strong[2]/br[3]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 71, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "（三）竞争优势", "language": "chinese", "position": {"atoms": [{"position_id": 357, "txt": "（三）竞争优势", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 72, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "1、垄断中国海域95%以上的油气资源。", "language": "chinese", "position": {"atoms": [{"position_id": 359, "txt": "1、垄断中国海域95%以上的油气资源。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 73, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "海油的成本优势还表现为资源权近乎免费长时间使用。", "language": "chinese", "position": {"atoms": [{"position_id": 360, "txt": "海油的成本优势还表现为资源权近乎免费长时间使用。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 73, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "且这些油气区块还属于勘探和开采的早中期，潜力巨大。", "language": "chinese", "position": {"atoms": [{"position_id": 361, "txt": "且这些油气区块还属于勘探和开采的早中期，潜力巨大。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 73, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "如3个万亿大油气田。", "language": "chinese", "position": {"atoms": [{"position_id": 362, "txt": "如3个万亿大油气田。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 73, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "中海油拥有圭亚那油田25%股份，圭亚那油田极为优质，桶油成本26美元，且税费很低，规模庞大，盈利能力是常规油田的3倍左右，可开采30多年。", "language": "chinese", "position": {"atoms": [{"position_id": 364, "txt": "中海油拥有圭亚那油田25%股份，圭亚那油田极为优质，桶油成本26美元，且税费很低，规模庞大，盈利能力是常规油田的3倍左右，可开采30多年。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/br[2]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 74, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "2、中海油靠近消费地的价格优势，以及中国缺油少气的情况下，中海油大量油气资源就是优势。", "language": "chinese", "position": {"atoms": [{"position_id": 366, "txt": "2、中海油靠近消费地的价格优势，以及中国缺油少气的情况下，中海油大量油气资源就是优势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/br"}]}, "tags": ["br"], "label": "content", "web_segment_id": 75, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "3、未来低成本的新油田逐渐衰减为老油田，如果海油运气不好，没有新发现更多低成本油田，每桶成本上升，这是潜在风险，好在随着高利润低成本的天然气产量快速增长，综合桶油成本稳中有降。", "language": "chinese", "position": {"atoms": [{"position_id": 368, "txt": "3、未来低成本的新油田逐渐衰减为老油田，如果海油运气不好，没有新发现更多低成本油田，每桶成本上升，这是潜在风险，好在随着高利润低成本的天然气产量快速增长，综合桶油成本稳中有降。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/br"}]}, "tags": ["br"], "label": "content", "web_segment_id": 76, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "4、海油把工厂建在沿海，虽然客观成本高，但是省了运费，加快了对接高价消费的市场，也是优势。", "language": "chinese", "position": {"atoms": [{"position_id": 370, "txt": "4、海油把工厂建在沿海，虽然客观成本高，但是省了运费，加快了对接高价消费的市场，也是优势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 77, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "不能只考虑低成本的生产！", "language": "chinese", "position": {"atoms": [{"position_id": 371, "txt": "不能只考虑低成本的生产！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 77, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "三、产量稳定增长，具备成长性。", "language": "chinese", "position": {"atoms": [{"position_id": 373, "txt": "三、产量稳定增长，具备成长性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 78, "global_sentence_id": 79, "edu_l1_label": "BOS"}, {"txt": "2018-2023年油气产量CAGR 达到 7.70%, 24年-27年产量（百万桶）720亿桶（6%），770亿桶（6.9%），790（2.6%）亿桶，820（3.8%）亿桶。", "language": "chinese", "position": {"atoms": [{"position_id": 375, "txt": "2018-2023年油气产量CAGR 达到 7.70%, 24年-27年产量（百万桶）720亿桶（6%），770亿桶（6.9%），790（2.6%）亿桶，820（3.8%）亿桶。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/strong/br[1]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 79, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "未来几年产量增速预计4%。", "language": "chinese", "position": {"atoms": [{"position_id": 377, "txt": "未来几年产量增速预计4%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/strong/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 80, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "四、资本开支较高，影响自由现金流。", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "四、资本开支较高，影响自由现金流。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span[1]"}]}, "tags": [], "label": "title1", "web_segment_id": 81, "global_sentence_id": 82, "edu_l1_label": "BOS"}, {"txt": "2016年：", "language": "chinese", "position": {"atoms": [{"position_id": 381, "txt": "2016年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 82, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "487.33亿元（低油价周期后重启增长）", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "487.33亿元（低油价周期后重启增长）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[1]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 82, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "2017年：", "language": "chinese", "position": {"atoms": [{"position_id": 384, "txt": "2017年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[2]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 83, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "711.54亿元（同比增长46.4%）", "language": "chinese", "position": {"atoms": [{"position_id": 385, "txt": "711.54亿元（同比增长46.4%）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[2]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 83, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "2018年：", "language": "chinese", "position": {"atoms": [{"position_id": 387, "txt": "2018年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[3]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 84, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "695.38亿元（小幅回调）", "language": "chinese", "position": {"atoms": [{"position_id": 388, "txt": "695.38亿元（小幅回调）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[3]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 84, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "2019年：", "language": "chinese", "position": {"atoms": [{"position_id": 390, "txt": "2019年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[4]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 85, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "799.01亿元（同比增长14.9%）", "language": "chinese", "position": {"atoms": [{"position_id": 391, "txt": "799.01亿元（同比增长14.9%）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[4]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 85, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "2020年：", "language": "chinese", "position": {"atoms": [{"position_id": 393, "txt": "2020年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[5]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 86, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "711.54亿元（受疫情影响持平）", "language": "chinese", "position": {"atoms": [{"position_id": 394, "txt": "711.54亿元（受疫情影响持平）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[5]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 86, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "2021年：", "language": "chinese", "position": {"atoms": [{"position_id": 396, "txt": "2021年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[6]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 87, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "875.92亿元（同比增长23.1%）", "language": "chinese", "position": {"atoms": [{"position_id": 397, "txt": "875.92亿元（同比增长23.1%）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[6]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 87, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "2022年：", "language": "chinese", "position": {"atoms": [{"position_id": 399, "txt": "2022年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[7]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 88, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "1,000亿元（同比增长14.2%）", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "1,000亿元（同比增长14.2%）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[7]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 88, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "2023年：", "language": "chinese", "position": {"atoms": [{"position_id": 402, "txt": "2023年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[8]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 89, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "1,280亿元（同比增长28%）", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "1,280亿元（同比增长28%）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[8]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 89, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "2024年：", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "2024年：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[9]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 90, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "预算1,250-1,350亿元（维持高位）", "language": "chinese", "position": {"atoms": [{"position_id": 406, "txt": "预算1,250-1,350亿元（维持高位）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/br[9]"}]}, "tags": ["br"], "label": "content", "web_segment_id": 90, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "（21-25年高资本开支，对应产量25-29年不断增长）维持性支出占比：", "language": "chinese", "position": {"atoms": [{"position_id": 408, "txt": "（21-25年高资本开支，对应产量25-29年不断增长）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span[2]"}, {"position_id": 410, "txt": "维持性支出占比：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 81, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "约53%（689亿元/1300亿元），主要用于覆盖老油田衰减、保持现有开采能力。", "language": "chinese", "position": {"atoms": [{"position_id": 411, "txt": "约53%（689亿元/1300亿元），主要用于覆盖老油田衰减、保持现有开采能力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 81, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "对应产量：", "language": "chinese", "position": {"atoms": [{"position_id": 413, "txt": "对应产量：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/strong/br"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 91, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "2024年公司净产量为720百万桶油当量，若维持性支出保持689亿元规模，理论上可支撑与2024年相当的产量水平（约720百万桶），如果1300亿的资本开支全部用来维持产量，而不再新增，可以达到1300/690*7.2=13.56亿桶，产量翻倍！", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "2024年公司净产量为720百万桶油当量，若维持性支出保持689亿元规模，理论上可支撑与2024年相当的产量水平（约720百万桶），如果1300亿的资本开支全部用来维持产量，而不再新增，可以达到1300/690*7.2=13.56亿桶，产量翻倍！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/strong/br"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 91, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "五、自由现金流", "language": "chinese", "position": {"atoms": [{"position_id": 416, "txt": "五、自由现金流", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 92, "global_sentence_id": 105, "edu_l1_label": "BOS"}, {"txt": "根据公式自由现金流=净利润+折旧折耗摊销-资本开支+勘探费用（失败的勘探）", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "根据公式自由现金流=净利润+折旧折耗摊销-资本开支+勘探费用（失败的勘探）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span[1]/br"}]}, "tags": ["br"], "label": "content", "web_segment_id": 93, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "，结合中国海油近五年（2020-2024年）公开数据及行业分析，计算结果如下：", "language": "chinese", "position": {"atoms": [{"position_id": 420, "txt": "，结合中国海油近五年（2020-2024年）公开数据及行业分析，计算结果如下：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "（一）各年度自由现金流明细", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "（一）各年度自由现金流明细", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/br[1]"}]}, "tags": ["br"], "label": "title2", "web_segment_id": 94, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "2021年", "language": "chinese", "position": {"atoms": [{"position_id": 424, "txt": 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513, "txt": "约937-1,017亿元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[20]/strong/span/br[2]"}]}, "tags": ["br", "strong"], "label": "content", "web_segment_id": 126, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "自由现金流1000亿，十年回本就是合理估值1万亿。", "language": "chinese", "position": {"atoms": [{"position_id": 515, "txt": "自由现金流1000亿，十年回本就是合理估值1万亿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[20]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 124, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "点评：", "language": "chinese", "position": {"atoms": [{"position_id": 517, "txt": "点评：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[21]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 127, "global_sentence_id": 168, "edu_l1_label": "BOS"}, {"txt": "当下H股中海油相对比较便宜，预期收益率股息率6.8%+4%成长率=10.8%，但是投资周期股最好在油价下跌的时候，大概率会有一眼便宜的时候，当下只能轻仓，安全边际不够多，不好重仓。", "language": "chinese", "position": {"atoms": [{"position_id": 518, "txt": "当下H股中海油相对比较便宜，预期收益率股息率6.8%+4%成长率=10.8%，但是投资周期股最好在油价下跌的时候，大概率会有一眼便宜的时候，当下只能轻仓，安全边际不够多，不好重仓。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[21]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 127, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": " 逆向思维价值投资 ", "language": "chinese", "position": {"atoms": [{"position_id": 520, "txt": "\n 逆向思维价值投资 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 145, "global_sentence_id": 170, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 中国海油：油价趋势分析及投资核心要素 ## 一、石油供需分析（60美元基本是底部区间！） ## 二、低成本是中国海油核心竞争优势 ## 三、产量稳定增长，具备成长性。 ## 四、资本开支较高，影响自由现金流。 ## 五、自由现金流 ### （一）各年度自由现金流明细 ### （二）总计与年均值 ## 点评：
ab64438e-4767-4c58-a797-7eae612b07d7
web
test/raw_web_htmls/ab64438e-4767-4c58-a797-7eae612b07d7.html
https://martech.org/why-the-mql-model-is-failing-b2b-marketing-and-what-to-use-instead/
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# Why the MQL model is failing B2B marketing and what to use instead ## The MQL no longer works ## A system built on vanity metrics ## The growing frustration across GTM teams ## The MQL model ignores critical business realities ### Time lag ### External marketplace forces ### The impact of brand and reputation on sales ## The legal and financial risks of clinging to MQLs ## AI and advanced analytics are exposing the MQL’s flaws ## The ‘no BS’ GTM model ## Why causal AI is the key to GTM success ## The time for change is now
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test/raw_web_htmls/21b605df-7b97-4d01-9fad-c594d11dfb35.html
https://mp.weixin.qq.com/s?__biz=MzA4NjU3MDg5NA==&mid=2648446227&idx=1&sn=63350a4676eee46bf58c4a0c1481e819&scene=0
{"entry_id": "21b605df-7b97-4d01-9fad-c594d11dfb35", "infos": [{"txt": "6.1亿美元！", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "6.1亿美元！", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "中国电建和韩国斗山联合体中标沙特电站项目", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "中国电建和韩国斗山联合体中标沙特电站项目", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": " 6.1亿美元！", "language": "chinese", "position": {"atoms": [{"position_id": 162, "txt": "\n \n6.1亿美元！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "中国电建和韩国斗山联合体中标沙特电站项目 ", "language": "chinese", "position": {"atoms": [{"position_id": 163, "txt": "中国电建和韩国斗山联合体中标沙特电站项目\n ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 3, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/esJnqzKqDT1N3j22RHO1h.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 53, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/esJnqzKqDT1N3j22RHO1h.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 39, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "1800MW", "language": "chinese", "position": {"atoms": [{"position_id": 165, "txt": "1800MW", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 40, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "近日，韩国知名国际承包商斗山（Doosan Enerbility）与沙特电力公司（SEC）签署了一项工程协议，正式获得沙特PP12联合循环发电项目。", "language": "chinese", "position": {"atoms": [{"position_id": 167, "txt": "近日，韩国知名国际承包商斗山（Doosan Enerbility）与沙特电力公司（SEC）签署了一项工程协议，正式获得沙特PP12联合循环发电项目。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "BOS"}, {"txt": "合同金额约为6.107亿美元。", "language": "chinese", "position": {"atoms": [{"position_id": 169, "txt": "合同金额约为", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span/span[1]"}, {"position_id": 171, "txt": "6.107亿美元", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span/span[2]"}, {"position_id": 173, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "项目沙特首都利雅得西北约150公里处。", "language": "chinese", "position": {"atoms": [{"position_id": 175, "txt": "项目沙特首都利雅得西北约150公里处。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "规划发电装机1,800MW，建成后将在实现沙特电网稳定等战略方面发挥关键作用。", "language": "chinese", "position": {"atoms": [{"position_id": 177, "txt": "规划发电装机", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span/span[1]"}, {"position_id": 179, "txt": "1,800MW", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span/span[2]"}, {"position_id": 181, "txt": "，建成后将在实现沙特电网稳定等战略方面发挥关键作用。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "作为沙特“2030愿景”战略的一部分，该国计划未来五年每年新增6GW的发电能力，致力于通过投资关键基础设施和能源项目，实现经济多元化，减少对石油的依赖。", "language": "chinese", "position": {"atoms": [{"position_id": 183, "txt": "作为沙特“2030愿景”战略的一部分，该国计划未来五年每年新增", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/span/span[1]"}, {"position_id": 185, "txt": "6GW", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/span/span[2]"}, {"position_id": 187, "txt": "的发电能力，致力于通过投资关键基础设施和能源项目，实现经济多元化，减少对石油的依赖。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3pi65v1k8Mxe1oS5oZ3M5Fqw.png", "language": "chinese", "position": {"atoms": [{"position_id": 81, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3pi65v1k8Mxe1oS5oZ3M5Fqw.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[3]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 46, "global_sentence_id": 11, "edu_l1_label": "EDU_O"}, {"txt": "联合体", "language": "chinese", "position": {"atoms": [{"position_id": 189, "txt": "联合体", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 47, "global_sentence_id": 12, "edu_l1_label": "EDU_O"}, {"txt": "斗山将与中国电建旗下山东电建三公司（SEPCO3）组成强大的联合体，共同执行该项目，充分发挥两家公司在大型电厂建设方面的专业优势。", "language": "chinese", "position": {"atoms": [{"position_id": 191, "txt": "斗山将与中国电建旗下", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span/span[1]"}, {"position_id": 193, "txt": "山东电建三公司（SEPCO3）", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span/span[2]"}, {"position_id": 195, "txt": "组成强大的联合体，共同执行该项目，充分发挥两家公司在大型电厂建设方面的专业优势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "根据协议，斗山Enerbility将负责该电厂的设计、核心设备供应以及全面调试工作，展现公司在复杂能源项目交付方面的能力。", "language": "chinese", "position": {"atoms": [{"position_id": 197, "txt": "根据协议，斗山Enerbility将负责该电厂的设计、核心设备供应以及全面调试工作，展现公司在复杂能源项目交付方面的能力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "PP12电厂的一大亮点是其采用的先进燃气联合循环技术，该技术通过同时使用燃气轮机和蒸汽轮机发电，比传统方法具有更高的发电效率。", "language": "chinese", "position": {"atoms": [{"position_id": 199, "txt": "PP12电厂的一大亮点是其采用的先进燃气联合循环技术，该技术通过同时使用燃气轮机和蒸汽轮机发电，比传统方法具有更高的发电效率。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "这种方式不仅优化了能源输出，也能以更加可持续的方式满足该地区日益增长的电力需求。", "language": "chinese", "position": {"atoms": [{"position_id": 201, "txt": "这种方式不仅优化了能源输出，也能以更加可持续的方式满足该地区日益增长的电力需求。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "PP12项目体现了沙特致力于实现能源行业现代化，并推广更清洁、更高效的发电解决方案的决心。", "language": "chinese", "position": {"atoms": [{"position_id": 203, "txt": "PP12项目体现了沙特致力于实现能源行业现代化，并推广更清洁、更高效的发电解决方案的决心。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "除了这个项目，斗山与中国电建（山东电建三公司）最近还中标了沙特的Rumah1、Nairyah1 两个联合循环电站项目，装机容量3.6GW。", "language": "chinese", "position": {"atoms": [{"position_id": 205, "txt": "除了这个项目，斗山与中国电建（山东电建三公司）最近还中标了沙特的Rumah1、Nairyah1 两个联合循环电站项目，装机容量3.6GW。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[13]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "可谓收获不小。", "language": "chinese", "position": {"atoms": [{"position_id": 207, "txt": "可谓收获不小。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "3.6GW！", "language": "chinese", "position": {"atoms": [{"position_id": 209, "txt": "3.6GW！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span/a/span"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 20, "edu_l1_label": "EDU_O"}, {"txt": "中国电建联合体签约沙特联合循环电站项目", "language": "chinese", "position": {"atoms": [{"position_id": 210, "txt": "中国电建联合体签约沙特联合循环电站项目", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span/a/span"}]}, "tags": [], "label": "O", "web_segment_id": 55, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "5亿+美元！", "language": "chinese", "position": {"atoms": [{"position_id": 212, "txt": "5亿+美元！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span/a/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "印度L&T公司联合体中标沙特海水淡化项目", "language": "chinese", "position": {"atoms": [{"position_id": 213, "txt": "印度L&T公司联合体中标沙特海水淡化项目", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span/a/span"}]}, "tags": [], "label": "O", "web_segment_id": 56, "global_sentence_id": 23, "edu_l1_label": "EDU_O"}, {"txt": " 中东热土 ", "language": "chinese", "position": {"atoms": [{"position_id": 215, "txt": "\n 中东热土 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 74, "global_sentence_id": 24, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 6.1亿美元！中国电建和韩国斗山联合体中标沙特电站项目 ## 1800MW ## 联合体
733dc980-9c79-4a9e-8581-2d2f0ddf253f
web
test/raw_web_htmls/733dc980-9c79-4a9e-8581-2d2f0ddf253f.html
https://joomaen.sol.build/134E0FC6-0B2C-48BC-B2B6-8037E7C4D07A/
{"entry_id": "733dc980-9c79-4a9e-8581-2d2f0ddf253f", "infos": [{"txt": "Planet博客设置", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "Planet博客设置", "x": "//title"}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "Planet博客设置", "language": "chinese", "position": {"atoms": [{"position_id": 81, "txt": "Planet博客设置", "x": "/html/body/div/div[2]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "2025年1月28日 22:31:42", "language": "chinese", "position": {"atoms": [{"position_id": 83, "txt": "2025年1月28日 22:31:42", "x": "/html/body/div/div[2]/div[1]"}]}, "tags": [], "label": "publish_time", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "添加评论功能", "language": "chinese", "position": {"atoms": [{"position_id": 85, "txt": "添加评论功能", "x": "/html/body/div/div[2]/div[2]/h2[1]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 3, "edu_l1_label": "BOS"}, {"txt": "使用Giscus为Planet添加评论功能。", "language": "chinese", "position": {"atoms": [{"position_id": 87, "txt": "使用", "x": "/html/body/div/div[2]/div[2]/p[1]"}, {"position_id": 89, "txt": "Giscus", "x": "/html/body/div/div[2]/div[2]/p[1]/a"}, {"position_id": 91, "txt": "为Planet添加评论功能。", "x": "/html/body/div/div[2]/div[2]/p[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "IOS"}, {"txt": "按要求建立公开仓库，安装 Giscus App，将仓库名 填入，之后会生成一个下面这种代码，将它添加到文章末尾即可，Planet 可以自动渲染出来。", "language": "chinese", "position": {"atoms": [{"position_id": 93, "txt": "按要求建立公开仓库，安装 Giscus App，将仓库名 填入，之后会生成一个下面这种代码，将它添加到文章末尾即可，Planet 可以自动渲染出来。", "x": "/html/body/div/div[2]/div[2]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "# 不要复制我的，仅作参考，Giscus网页会生成自己的<script src=\"https://giscus.app/client.js\" data-repo=\"用户名/仓库名\" data-repo-id=\"R_kgDONv0EQg\" data-category=\"Announcements\" data-category-id=\"DIC_kwDONv0EQs4CmW3b\" data-mapping=\"pathname\" data-strict=\"0\" data-reactions-enabled=\"1\" data-emit-metadata=\"0\" data-input-position=\"bottom\" data-theme=\"preferred_color_scheme\" data-lang=\"zh-CN\" crossorigin=\"anonymous\" async></script>", "language": "chinese", "position": {"atoms": [{"position_id": 95, "txt": "# 不要复制我的，仅作参考，Giscus网页会生成自己的\n<script src=\"https://giscus.app/client.js\"\n data-repo=\"用户名/仓库名\"\n data-repo-id=\"R_kgDONv0EQg\"\n data-category=\"Announcements\"\n data-category-id=\"DIC_kwDONv0EQs4CmW3b\"\n data-mapping=\"pathname\"\n data-strict=\"0\"\n data-reactions-enabled=\"1\"\n data-emit-metadata=\"0\"\n data-input-position=\"bottom\"\n data-theme=\"preferred_color_scheme\"\n data-lang=\"zh-CN\"\n crossorigin=\"anonymous\"\n async>\n</script>\n", "x": "/html/body/div/div[2]/div[2]/pre[1]/code"}]}, "tags": [], "label": "code", "web_segment_id": 6, "global_sentence_id": 6, "edu_l1_label": "EDU_O"}, {"txt": "修改模板代码添加Google Analytics分析", "language": "chinese", "position": {"atoms": [{"position_id": 97, "txt": "修改模板代码添加Google Analytics分析", "x": "/html/body/div/div[2]/div[2]/h2[2]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 7, "edu_l1_label": "BOS"}, {"txt": "Google Analytics 用 Google 账号登录建立账户，再建立一个资源，获取 Google Analytics 统计代码，他会提供一串代码。", "language": "chinese", "position": {"atoms": [{"position_id": 99, "txt": "Google Analytics", "x": "/html/body/div/div[2]/div[2]/p[3]/a"}, {"position_id": 101, "txt": " 用 Google 账号登录建立账户，再建立一个资源，获取 Google Analytics 统计代码，他会提供一串代码。", "x": "/html/body/div/div[2]/div[2]/p[3]/a"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "类似这样：", "language": "chinese", "position": {"atoms": [{"position_id": 102, "txt": "类似这样：", "x": "/html/body/div/div[2]/div[2]/p[3]/a"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "# 参考<!-- Google tag (gtag.js) --> <script async src=\"https://www.googletagmanager.com/gtag/js?id=G-代码\"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-代码'); </script>", "language": "chinese", "position": {"atoms": [{"position_id": 104, "txt": "# 参考\n<!-- Google tag (gtag.js) --> \n<script async src=\"https://www.googletagmanager.com/gtag/js?id=G-代码\"></script> \n<script> \n window.dataLayer = window.dataLayer || []; \n function gtag(){dataLayer.push(arguments);} \n gtag('js', new Date()); \n \n gtag('config', 'G-代码'); \n</script>\n", "x": "/html/body/div/div[2]/div[2]/pre[2]/code"}]}, "tags": [], "label": "code", "web_segment_id": 6, "global_sentence_id": 10, "edu_l1_label": "EDU_O"}, {"txt": "在 Planet 中打开左上菜单中的 工具-模板浏览器，选择你正在使用的模板，在文件夹中打开即可查看HTML模板文件。", "language": "chinese", "position": {"atoms": [{"position_id": 106, "txt": "在 Planet 中打开左上菜单中的 工具-模板浏览器，选择你正在使用的模板，在文件夹中打开即可查看HTML模板文件。", "x": "/html/body/div/div[2]/div[2]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "编辑模板文件中的templates/base.html，用 VScode 或其他工具，将获取到的统计代码插入到<head>下方，点击 工具-重新载入网站，重新生成静态页面即可。", "language": "chinese", "position": {"atoms": [{"position_id": 107, "txt": "编辑模板文件中的", "x": "/html/body/div/div[2]/div[2]/p[4]"}, {"position_id": 109, "txt": "templates/base.html", "x": "/html/body/div/div[2]/div[2]/p[4]/code[1]"}, {"position_id": 111, "txt": "，用 VScode 或其他工具，将获取到的统计代码插入到", "x": "/html/body/div/div[2]/div[2]/p[4]/code[1]"}, {"position_id": 113, "txt": "<head>", "x": "/html/body/div/div[2]/div[2]/p[4]/code[2]"}, {"position_id": 115, "txt": "下方，点击 工具-重新载入网站，重新生成静态页面即可。", "x": "/html/body/div/div[2]/div[2]/p[4]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "在配置Google Analytics时需要有对应域名，所以使用公共网关或者本地IPFS节点访问的话似乎无法被GA追踪到。", "language": "chinese", "position": {"atoms": [{"position_id": 117, "txt": "在配置Google Analytics时需要有对应域名，所以使用公共网关或者本地IPFS节点访问的话似乎无法被GA追踪到。", "x": "/html/body/div/div[2]/div[2]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 10, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "我的Privacy页面也有介绍。", "language": "chinese", "position": {"atoms": [{"position_id": 118, "txt": "我的", "x": "/html/body/div/div[2]/div[2]/p[5]"}, {"position_id": 120, "txt": "Privacy", "x": "/html/body/div/div[2]/div[2]/p[5]/a"}, {"position_id": 122, "txt": "页面也有介绍。", "x": "/html/body/div/div[2]/div[2]/p[5]/a"}]}, "tags": [], "label": "content", "web_segment_id": 10, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "域名", "language": "chinese", "position": {"atoms": [{"position_id": 124, "txt": "域名", "x": "/html/body/div/div[2]/div[2]/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 11, "global_sentence_id": 15, "edu_l1_label": "BOS"}, {"txt": "注册一个区块链域名，.eth.bit.sol 都可以绑定IPNS，然后通过相应的公网访问。", "language": "chinese", "position": {"atoms": [{"position_id": 126, "txt": "注册一个区块链域名，", "x": "/html/body/div/div[2]/div[2]/p[6]"}, {"position_id": 128, "txt": ".eth", "x": "/html/body/div/div[2]/div[2]/p[6]/code[1]"}, {"position_id": 130, "txt": ".bit", "x": "/html/body/div/div[2]/div[2]/p[6]/code[2]"}, {"position_id": 132, "txt": ".sol", "x": "/html/body/div/div[2]/div[2]/p[6]/code[3]"}, {"position_id": 134, "txt": " 都可以绑定IPNS，然后通过相应的公网访问。", "x": "/html/body/div/div[2]/div[2]/p[6]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "我目前有一个.bit域名，在后台绑定IPNS后，可以通过.bit.site这个公共节点访问，它为.bit域名提供免费的IPFS PIN服务，绑定后它会存储Planet中的静态内容，这样也就不怕电脑关闭就无法访问了。", "language": "chinese", "position": {"atoms": [{"position_id": 136, "txt": "我目前有一个", "x": "/html/body/div/div[2]/div[2]/p[7]"}, {"position_id": 138, "txt": ".bit", "x": "/html/body/div/div[2]/div[2]/p[7]/code[1]"}, {"position_id": 140, "txt": "域名，在后台绑定IPNS后，可以通过", "x": "/html/body/div/div[2]/div[2]/p[7]/code[1]"}, {"position_id": 142, "txt": ".bit.site", "x": "/html/body/div/div[2]/div[2]/p[7]/code[2]"}, {"position_id": 144, "txt": "这个公共节点访问，它为", "x": "/html/body/div/div[2]/div[2]/p[7]/code[2]"}, {"position_id": 146, "txt": ".bit", "x": "/html/body/div/div[2]/div[2]/p[7]/code[3]"}, {"position_id": 148, "txt": "域名提供免费的IPFS PIN服务，绑定后它会存储Planet中的静态内容，这样也就不怕电脑关闭就无法访问了。", "x": "/html/body/div/div[2]/div[2]/p[7]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "目前比较推荐.sol域名，.eth太贵了，.bit不太贵，不过需要按年付费，而.sol是永久的，一次付费即可，基于Solana链，我正准备搞一个。", "language": "chinese", "position": {"atoms": [{"position_id": 150, "txt": "目前比较推荐", "x": "/html/body/div/div[2]/div[2]/p[8]"}, {"position_id": 152, "txt": ".sol", "x": "/html/body/div/div[2]/div[2]/p[8]/code[1]"}, {"position_id": 154, "txt": "域名，", "x": "/html/body/div/div[2]/div[2]/p[8]/code[1]"}, {"position_id": 156, "txt": ".eth", "x": "/html/body/div/div[2]/div[2]/p[8]/code[2]"}, {"position_id": 158, "txt": "太贵了，", "x": "/html/body/div/div[2]/div[2]/p[8]/code[2]"}, {"position_id": 160, "txt": ".bit", "x": "/html/body/div/div[2]/div[2]/p[8]/code[3]"}, {"position_id": 162, "txt": "不太贵，不过需要按年付费，而", "x": "/html/body/div/div[2]/div[2]/p[8]/code[3]"}, {"position_id": 164, "txt": ".sol", "x": "/html/body/div/div[2]/div[2]/p[8]/code[4]"}, {"position_id": 166, "txt": "是永久的，一次付费即可，基于Solana链，我正准备搞一个。", "x": "/html/body/div/div[2]/div[2]/p[8]/code[4]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "IPFS托管", "language": "chinese", "position": {"atoms": [{"position_id": 168, "txt": "IPFS托管", "x": "/html/body/div/div[2]/div[2]/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 15, "global_sentence_id": 19, "edu_l1_label": "BOS"}, {"txt": "我还使用4EVERLAND来对IPFS文件进行托管，进入官网连接加密钱包，之后需存入1美元等值的对应加密货币，就可以使用它提供的服务。", "language": "chinese", "position": {"atoms": [{"position_id": 170, "txt": "我还使用", "x": "/html/body/div/div[2]/div[2]/p[9]"}, {"position_id": 172, "txt": "4EVERLAND", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}, {"position_id": 174, "txt": "来对IPFS文件进行托管，进入官网连接加密钱包，之后需存入1美元等值的对应加密货币，就可以使用它提供的服务。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "可以托管IPNS、IPFS、连接GitHub仓库等等。", "language": "chinese", "position": {"atoms": [{"position_id": 175, "txt": "可以托管IPNS、IPFS、连接GitHub仓库等等。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "还提供S3对象存储。", "language": "chinese", "position": {"atoms": [{"position_id": 176, "txt": "还提供S3对象存储。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "当然我只使用了IPNS托管。", "language": "chinese", "position": {"atoms": [{"position_id": 177, "txt": "当然我只使用了IPNS托管。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "从Planet中复制出IPNS，在4EVERLAND中新建Hosting项目，选择IPNS并填入。", "language": "chinese", "position": {"atoms": [{"position_id": 178, "txt": "从Planet中复制出IPNS，在4EVERLAND中新建Hosting项目，选择IPNS并填入。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "它给提供2个子域名来访问，你也可以绑定自己域名。", "language": "chinese", "position": {"atoms": [{"position_id": 179, "txt": "它给提供2个子域名来访问，你也可以绑定自己域名。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "记得在设定中开启自动重新部署IPNS，这样它每天18:", "language": "chinese", "position": {"atoms": [{"position_id": 180, "txt": "记得在设定中开启自动重新部署IPNS，这样它每天18:", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "00会自动进行同步，如果需要即时同步可以手动操作。", "language": "chinese", "position": {"atoms": [{"position_id": 181, "txt": "00会自动进行同步，如果需要即时同步可以手动操作。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "我只是把它作为一个PIN服务和作为备份，所以就让它自动同步好了。", "language": "chinese", "position": {"atoms": [{"position_id": 182, "txt": "我只是把它作为一个PIN服务和作为备份，所以就让它自动同步好了。", "x": "/html/body/div/div[2]/div[2]/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "<img https://media.joomaen.top/2025/01/1738074288.png", "language": "chinese", "position": {"atoms": [{"position_id": 71, "txt": "<img https://media.joomaen.top/2025/01/1738074288.png", "x": "/html/body/div/div[2]/div[2]/p[9]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 16, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "小结", "language": "chinese", "position": {"atoms": [{"position_id": 184, "txt": "小结", "x": "/html/body/div/div[2]/div[2]/h3"}]}, "tags": ["h3"], "label": "title1", "web_segment_id": 18, "global_sentence_id": 30, "edu_l1_label": "BOS"}, {"txt": "这一番操作下来，使得Planet这个静态IPFS博客更加可靠和方便访问，也有了评论支持。", "language": "chinese", "position": {"atoms": [{"position_id": 186, "txt": "这一番操作下来，使得Planet这个静态IPFS博客更加可靠和方便访问，也有了评论支持。", "x": "/html/body/div/div[2]/div[2]/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "当然RSS也是支持的，任意一个网关或域名访问/rss.xml即可订阅。", "language": "chinese", "position": {"atoms": [{"position_id": 187, "txt": "当然RSS也是支持的，任意一个网关或域名访问", "x": "/html/body/div/div[2]/div[2]/p[10]"}, {"position_id": 189, "txt": "/rss.xml", "x": "/html/body/div/div[2]/div[2]/p[10]/code"}, {"position_id": 191, "txt": "即可订阅。", "x": "/html/body/div/div[2]/div[2]/p[10]/code"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "这样看来，似乎WordPress也不是很必要了。", "language": "chinese", "position": {"atoms": [{"position_id": 193, "txt": "这样看来，似乎WordPress也不是很必要了。", "x": "/html/body/div/div[2]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 33, "edu_l1_label": "IOS"}], "type": "WEB"}
# Planet博客设置 ## 添加评论功能 ## 修改模板代码添加Google Analytics分析 ## 域名 ## IPFS托管 ## 小结
4ae8c595-39be-478a-ae27-530a97a65368
web
test/raw_web_htmls/4ae8c595-39be-478a-ae27-530a97a65368.html
https://www.woshipm.com/share/6205754.html
{"entry_id": "4ae8c595-39be-478a-ae27-530a97a65368", "infos": [{"txt": "同城实体生意怎么做出高播放量且持续获客的短视频", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "同城实体生意怎么做出高播放量且持续获客的短视频", "x": ""}]}, "tags": [], "label": "article_title", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": "在当今数字化时代，同城实体生意的成功不仅依赖于线下服务的质量，还需要借助线上流量的精准引流。", "language": "chinese", "position": {"atoms": [{"position_id": 221, "txt": "在当今数字化时代，同城实体生意的成功不仅依赖于线下服务的质量，还需要借助线上流量的精准引流。", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 3, "global_sentence_id": 1, "edu_l1_label": "BOS"}, {"txt": "短视频作为一种高效且生动的营销工具，已经成为实体商家吸引同城目标客户的重要手段。", "language": "chinese", "position": {"atoms": [{"position_id": 222, "txt": "短视频作为一种高效且生动的营销工具，已经成为实体商家吸引同城目标客户的重要手段。", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 3, 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"txt": "3秒指令：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "在视频的最后3秒，给用户一个明确的行动指令，如“点击链接了解更多”或“到店体验”。", "language": "chinese", "position": {"atoms": [{"position_id": 316, "txt": "在视频的最后3秒，给用户一个明确的行动指令，如“点击链接了解更多”或“到店体验”。", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "公式7：", "language": "chinese", "position": {"atoms": [{"position_id": 318, "txt": "公式7：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/h3[7]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 39, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "问题引入 + 解决方案 + 行动号召", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "问题引入 + 解决方案 + 行动号召", "x": 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"公式8：", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "公式8：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/h3[8]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 43, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "情感共鸣 + 产品展示 + 福利赠送", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "情感共鸣 + 产品展示 + 福利赠送", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/h3[8]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 43, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "情感共鸣：", "language": "chinese", "position": {"atoms": [{"position_id": 333, "txt": "情感共鸣：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "通过分享一个与目标客户相关的情感故事，建立情感连接。", "language": "chinese", "position": {"atoms": [{"position_id": 334, "txt": "通过分享一个与目标客户相关的情感故事，建立情感连接。", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "产品展示：", "language": "chinese", "position": {"atoms": [{"position_id": 336, "txt": "产品展示：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "展示你的产品或服务，突出其特点和优势。", "language": "chinese", "position": {"atoms": [{"position_id": 337, "txt": "展示你的产品或服务，突出其特点和优势。", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "福利赠送：", "language": "chinese", "position": {"atoms": [{"position_id": 339, "txt": "福利赠送：", "x": "/html/body/div[1]/div/div/div[2]/div/div[1]/div[3]/div[1]/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 46, 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# 同城实体生意怎么做出高播放量且持续获客的短视频 ## 一、8个必火同城流量视频结构 ### 公式1：避坑指南类 ### 公式2：过程展示类 ### 公式3：本地话题类 ### 公式4：客户见证类 ### 公式5：限时福利类 ### 公式6：7秒钩子 + 30秒故事 + 3秒指令 ### 公式7：问题引入 + 解决方案 + 行动号召 ### 公式8：情感共鸣 + 产品展示 + 福利赠送 ## 二、短视频的几种类型 ### ①行业干货视频 ### ②产品展示视频 ### ③福利赠送视频 ### ④争议话题视频 ### ⑤情感共鸣视频 ### ⑥行业内幕视频
ca9f412d-8a7c-4986-a360-8efd7aee0904
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"IANG续签的签证期限不再固定为3年，而是会根据申请人的具体情况灵活调整。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[21]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "换句话说，续签不再只是“走过场”，而是要实实在在看你的工作情况和对香港的贡献。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "换句话说，续签不再只是“走过场”，而是要实实在在看你的工作情况和对香港的贡献。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[21]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "以下是可能的原因和影响因素：", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "以下是可能的原因和影响因素：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[23]/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "1.工作合同限制：", "language": "chinese", "position": {"atoms": [{"position_id": 438, "txt": "1.工作合同限制：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[25]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "续签时，签证期限可能会根据申请人的工作合同有效期来决定。", "language": "chinese", "position": {"atoms": [{"position_id": 439, "txt": "续签时，签证期限可能会根据申请人的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[25]/span[1]"}, {"position_id": 441, "txt": "工作合同有效期", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[25]/span[2]/strong"}, {"position_id": 443, "txt": "来决定。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[25]/span[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 52, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "例如，如果工作合同仅剩1年，续签的签证期限也可能只有1年。", "language": "chinese", "position": {"atoms": [{"position_id": 444, "txt": "例如，如果工作合同仅剩1年，续签的签证期限也可能只有1年。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[25]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "2.行业和职位相关性：", "language": "chinese", "position": {"atoms": [{"position_id": 446, "txt": "2.行业和职位相关性：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "申请人的工作是否与所学专业相关、是否符合学位持有人的职位水平，以及薪酬是否达到市场标准，都会影响续签的签证期限。", "language": "chinese", "position": {"atoms": [{"position_id": 447, "txt": "申请人的工作是否与所学", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[1]"}, {"position_id": 449, "txt": "专业相关", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[2]/strong"}, {"position_id": 451, "txt": "、是否符合", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[3]"}, {"position_id": 453, "txt": "学位", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[4]/strong"}, {"position_id": 455, "txt": "持有人的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[5]"}, {"position_id": 457, "txt": "职位水", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[6]/strong[1]"}, {"position_id": 459, "txt": "平", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[6]/strong[2]"}, {"position_id": 461, "txt": "，以及", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[7]"}, {"position_id": 463, "txt": "薪酬", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[8]/strong"}, {"position_id": 465, "txt": "是否达到", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[9]"}, {"position_id": 467, "txt": "市场标准", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[10]/strong"}, {"position_id": 469, "txt": "，都会影响续签的签证期限。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[27]/span[11]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 53, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "3.顶尖人才标准：", "language": "chinese", "position": {"atoms": [{"position_id": 471, "txt": "3.顶尖人才标准：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "如果申请人在上一评税年度的薪俸税应评税收入达到200万港币，且在港逗留不少于两年，仍可获得更长的签证期限（如6年）。", "language": "chinese", "position": {"atoms": [{"position_id": 472, "txt": "如果申请人在上一评税年度的薪俸税应评", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[1]"}, {"position_id": 474, "txt": "税收入达到200万港币", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[2]/strong"}, {"position_id": 476, "txt": "，且在港", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[3]"}, {"position_id": 478, "txt": "逗留不少于两年", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[4]/strong"}, {"position_id": 480, "txt": "，仍可获得更长的签证期限（如6年）。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[29]/span[5]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "4.在港逗留时间：", "language": "chinese", "position": {"atoms": [{"position_id": 482, "txt": "4.在港逗留时间：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "入境处会综合考虑申请人在香港的逗留时间、工作性质和经济贡献等因素。", "language": "chinese", "position": {"atoms": [{"position_id": 483, "txt": "入境处会综合考虑申请人在香港的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[1]"}, {"position_id": 485, "txt": "逗留时间", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[2]/strong"}, {"position_id": 487, "txt": "、", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[3]"}, {"position_id": 489, "txt": "工作性质", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[4]/strong"}, {"position_id": 491, "txt": "和", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[5]"}, {"position_id": 493, "txt": "经济贡献", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[6]/strong"}, {"position_id": 495, "txt": "等因素。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[31]/span[7]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 55, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "💡怎么应对？", "language": "chinese", "position": {"atoms": [{"position_id": 497, "txt": "💡", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[34]/span/strong[1]/span"}, {"position_id": 499, "txt": "怎么应对？", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[34]/span/strong[2]/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 30, "edu_l1_label": "BOS"}, {"txt": "1.提前规划，搞定合同", "language": "chinese", "position": {"atoms": [{"position_id": 501, "txt": "1.提前规划，搞定合同", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[36]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 57, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "建议在签证到期前4周内提交续签申请，并确保工作合同的有效期尽可能长，最好能覆盖你期望的续签年限。", "language": "chinese", "position": {"atoms": [{"position_id": 503, "txt": "建议在", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[37]/span[1]"}, {"position_id": 505, "txt": "签证到期前4周内", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[37]/span[2]/strong"}, {"position_id": 507, "txt": "提交续签申请，并确保工作合同的有效期尽可能长，最好能覆盖你期望的续签年限。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[37]/span[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "如果你的合同快到期了，赶紧和老板谈续约，或者看看有没有更好的工作机会。", "language": "chinese", "position": {"atoms": [{"position_id": 509, "txt": "如果你的合同快到期了，赶紧和老板谈续约，或者看看有没有更好的工作机会。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[39]/span"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "2.优先签Permanent合同", "language": "chinese", "position": {"atoms": [{"position_id": 511, "txt": "2.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[41]/span/strong[1]/span"}, {"position_id": 513, "txt": "优先签Permanent合同", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[41]/span/strong[2]/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 60, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "以往无论Permanent还是Contract，一般都正常给3年续签，从今年开始，Contract有可能只给到“合同终止时间”（比如你合同只有两个月就到期了，那就给只给你批两个月...）！", "language": "chinese", "position": {"atoms": [{"position_id": 515, "txt": "以往无论Permanent还是Contract，一般都正常给3年续签，从今年开始，Contract有可能只给到“合同终止时间”（比如你合同只有两个月就到期了，那就给只给你批两个月...）！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[42]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "不过，Permanent并没有受影响，依然正常给2-3年签证，所以正在找工作的香港留子们，一定要优先签Permanent合同！", "language": "chinese", "position": {"atoms": [{"position_id": 517, "txt": "不过，Permanent并没有受影响，依然正常给2-3年签证，所以正在找工作的香港留子们，一定要优先签Permanent合同！", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[44]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "3.准备充分的材料", "language": "chinese", "position": {"atoms": [{"position_id": 519, "txt": "3.准备充分的材料", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[46]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 63, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "包括有效旅行证件、香港身份证、雇佣合同、薪酬证明等。", "language": "chinese", "position": {"atoms": [{"position_id": 521, "txt": "包括有效旅行证件、香港身份证、雇佣合同、薪酬证明等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[47]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "4.关注政策动态", "language": "chinese", "position": {"atoms": [{"position_id": 523, "txt": "4.关注政策动态", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[49]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 65, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "续签政策可能会根据香港的经济和人才需求进一步调整，建议定期关注香港入境处的官方公告。", "language": "chinese", "position": {"atoms": [{"position_id": 525, "txt": "续签政策可能会根据香港的经济和人才需求进一步调整，建议定期关注香港入境处的官方公告。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/p[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "如果有疑问，可以咨询专业的移民顾问或联系香港入境事务处获取最新政策信息。", "language": "chinese", "position": {"atoms": [{"position_id": 527, "txt": "如果有疑问，可以咨询专业的移民顾问或联系香港入境事务处获取最新政策信息。", "x": 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"web_segment_id": 110, "global_sentence_id": 72, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 2025年香港IANG续签不再给3年了，宝子们，速看攻略！ ## 📢 续签政策到底变了啥？ ## 😱 为啥会变？ ## 💡怎么应对？ ### 1.提前规划，搞定合同 ### 2.优先签Permanent合同 ### 3.准备充分的材料 ### 4.关注政策动态 ### 5.可以考虑创业续签 ## ✨ 写在最后
2475edb5-861e-4194-a9e9-6c7c1ba8551e
web
test/raw_web_htmls/2475edb5-861e-4194-a9e9-6c7c1ba8551e.html
https://www.vincentschmalbach.com/ai-soft-skills-the-new-differentiator-for-language-models/
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"global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": " In human terms, someone may have high intellectual aptitude but still struggle with practical tasks or teamwork due to lacking soft skills.", "language": "english", "position": {"atoms": [{"position_id": 272, "txt": " In human terms, someone may have high intellectual aptitude but still struggle with practical tasks or teamwork due to lacking soft skills.", "x": "/html/body/main/div[3]/div[2]/div/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": " Similarly, an AI might score high on academic benchmarks yet falter when asked to perform iterative, tool-assisted tasks or to adapt to user preferences.", "language": "english", "position": {"atoms": [{"position_id": 273, "txt": " Similarly, an AI might score high on academic benchmarks yet falter when asked to perform iterative, tool-assisted tasks or to adapt to user preferences.", "x": 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# AI Soft Skills: The New Differentiator for Language Models ## What Are "AI Soft Skills"? ### Key AI Soft Skills ## Why Soft Skills Matter in Agentic Workflows ### The Limits of Static Q&A ### The Shift to Agent Architectures ### The Importance of Tool Use ### Following Instructions and Adapting ### Practical Usability Features ## Key Soft Skills in Action ### Iterative Reasoning and Tool Use #### The Power of Thinking in Loops #### Combining Reasoning with Tools #### Real-World Coding Differences ### Instruction Following and Adaptability #### Different Models, Different Personalities #### Handling Changes Mid-Course #### The Balance Between Compliance and Speed ### Usability and Workflow Integration #### The Power of Context Length #### Style and Presentation Matter #### Interface Design and Integration ## How Leading Models Stack Up on Soft Skills ### GPT-4 (OpenAI) ### Claude 3 Sonnet (Anthropic) ### Gemini 2.5 Pro (Google DeepMind) ## Beyond Coding: Soft Skills in Other Domains ### Research Agents ### Creative Assistants ### Data Analysis and Agents for Automation ## The New Evaluation Paradigm: Utility over Brains ### A Shift in Focus ### The Importance of Ecosystem Integration
6c59cf28-b146-47ea-9ded-f5a3cc8e1d66
web
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https://mp.weixin.qq.com/s/pHX8Dj5oIYeGiP_0-_C2uQ
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# 失手误删的小资料，终于有救了！ ## 万能格式转换器（手机版） ## UltData（手机版）
bbee2e32-4c99-49f0-8bc5-1dd1d1e0e0c6
web
test/raw_web_htmls/bbee2e32-4c99-49f0-8bc5-1dd1d1e0e0c6.html
https://www.jiemian.com/article/12592997.html
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"因此，当前我们在构建哑铃结构时，不妨转向「核心资产+科技成长」。", "language": "chinese", "position": {"atoms": [{"position_id": 297, "txt": "因此，当前我们在构建哑铃结构时，不妨转向「核心资产+科技成长」。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "chinese", "position": {"atoms": [{"position_id": 109, "txt": "<img img", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[7]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 22, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "有“中国版标普500”之称的中证A500指数，正是布局A股核心资产的有力工具。", "language": "chinese", "position": {"atoms": [{"position_id": 299, "txt": "有“中国版标普500”之称的中证A500指数，正是布局A股核心资产的有力工具。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "我们曾在往期推文中，对中证A500指数做了详尽解析。", "language": "chinese", "position": {"atoms": [{"position_id": 300, "txt": "我们曾在往期推文中，对中证A500指数做了详尽解析。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 36, "edu_l1_label": "EDU_O"}, {"txt": "从配置的角度说，如果你想要参与权益市场，但又没有明确观点，或担心布局特定赛道风险太大，其实不妨考虑将以中证A500指数为代表的被动投资工具作为配置底仓。", "language": "chinese", "position": {"atoms": [{"position_id": 302, "txt": "从配置的角度说，如果你想要参与权益市场，但又没有明确观点，或担心布局特定赛道风险太大，其实不妨考虑将以中证A500指数为代表的被动投资工具作为配置底仓。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "尤其是如果目前权益持仓风格偏成长或小盘，那么这类投资工具也可以被用作资产再平衡的抓手。", "language": "chinese", "position": {"atoms": [{"position_id": 303, "txt": "尤其是如果目前权益持仓风格偏成长或小盘，那么这类投资工具也可以被用作资产再平衡的抓手。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "【A500指数之上，力争超额】", "language": "chinese", "position": {"atoms": [{"position_id": 305, "txt": "【A500指数之上，力争超额】", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[10]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 25, "global_sentence_id": 39, "edu_l1_label": "BOS"}, {"txt": "指数增强基金是旨在跟踪特定指数的同时，通过主动管理力求获取超越指数的表现。", "language": "chinese", "position": {"atoms": [{"position_id": 307, "txt": "指数增强基金是旨在跟踪特定指数的同时，通过主动管理力求获取超越指数的表现。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "其主要收益来源于两部分：", "language": "chinese", "position": {"atoms": [{"position_id": 308, "txt": "其主要收益来源于两部分：", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "一部分是跟踪指数获得的市场收益(Beta收益)，另一部分是通过主动管理获得的超额收益(Alpha收益)。", "language": "chinese", "position": {"atoms": [{"position_id": 309, "txt": "一部分是跟踪指数获得的市场收益(Beta收益)，另一部分是通过主动管理获得的超额收益(Alpha收益)。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "鹏华指数增强采用“ AI+基本面量化”的多因子模型，从在管各类指数增强产品的业绩归因上看，超额收益主要来自各Alpha 因子带来的选股收益。", "language": "chinese", "position": {"atoms": [{"position_id": 310, "txt": "鹏华指数增强采用“ AI+基本面量化”的多因子模型，从在管各类指数增强产品的业绩归因上看，超额收益主要来自各Alpha 因子带来的选股收益。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "鹏华苏俊杰的指增团队现已形成库覆盖基本面、量价、另类数据三大数据源超过5000 个有效因子的强大因子库，持续扩增的高端算力群，以及融合基本面逻辑和机器学习模型的多元策略框架。", "language": "chinese", "position": {"atoms": [{"position_id": 311, "txt": "鹏华苏俊杰的指增团队现已形成库覆盖基本面、量价、另类数据三大数据源超过5000 个有效因子的强大因子库，持续扩增的高端算力群，以及融合基本面逻辑和机器学习模型的多元策略框架。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "【后市展望：", "language": "chinese", "position": {"atoms": [{"position_id": 313, "txt": "【后市展望：", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[12]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 27, "global_sentence_id": 45, "edu_l1_label": "BOS"}, {"txt": "2025年中国股市有望“转型牛”确立】", "language": "chinese", "position": {"atoms": [{"position_id": 314, "txt": "2025年中国股市有望“转型牛”确立】", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[12]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 27, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "4月A股市场可能会呈现先抑后扬的走势。", "language": "chinese", "position": {"atoms": [{"position_id": 316, "txt": "4月A股市场可能会呈现先抑后扬的走势。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "中下旬开始，业绩披露高峰期将结束，而4月下旬召开的政治局会议可能会进一步定调财政支出提速或者其他稳增长的政策落地。", "language": "chinese", "position": {"atoms": [{"position_id": 317, "txt": "中下旬开始，业绩披露高峰期将结束，而4月下旬召开的政治局会议可能会进一步定调财政支出提速或者其他稳增长的政策落地。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "随着外部冲击也有望阶段性缓解，市场或重新回到上行趋势并加速上行。", "language": "chinese", "position": {"atoms": [{"position_id": 318, "txt": "随着外部冲击也有望阶段性缓解，市场或重新回到上行趋势并加速上行。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "此外，国泰君安证券指出，经过三年的出清、决策层对于扭转形势的决心以及无风险利率下降带动增量入市，2025年中国股市有望“转型牛”确立。", "language": "chinese", "position": {"atoms": [{"position_id": 320, "txt": "此外，国泰君安证券指出，经过三年的出清、决策层对于扭转形势的决心以及无风险利率下降带动增量入市，2025年中国股市有望“转型牛”确立。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "接下来，海外市场的大幅波动下预计周初A股对扰动因素将会有快速计价，而负面预期的快速定价后，或存在短期修复性的机会与超跌反弹。", "language": "chinese", "position": {"atoms": [{"position_id": 321, "txt": "接下来，海外市场的大幅波动下预计周初A股对扰动因素将会有快速计价，而负面预期的快速定价后，或存在短期修复性的机会与超跌反弹。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "综合来看，Q2作为全年政策验证→盈利修复→趋势确立”的过渡期，既具备风险释放后的低位布局机会，又能捕捉科技与消费双主线的中长期逻辑。", "language": "chinese", "position": {"atoms": [{"position_id": 322, "txt": "综合来看，Q2作为全年政策验证→盈利修复→趋势确立”的过渡期，既具备风险释放后的低位布局机会，又能捕捉科技与消费双主线的中长期逻辑。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "鹏华中证A500指增(A类023339，C类023340)有望把握这一布局窗口。", "language": "chinese", "position": {"atoms": [{"position_id": 323, "txt": "鹏华中证A500指增(A类023339，C类023340)有望把握这一布局窗口。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[1]/div[4]/div[2]/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": " 未经正式授权严禁转载本文，侵权必究。", "language": "chinese", "position": {"atoms": [{"position_id": 325, "txt": "\n 未经正式授权严禁转载本文，侵权必究。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/p"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "如需转载请联系：", "language": "chinese", "position": {"atoms": [{"position_id": 326, "txt": "如需转载请联系：", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/p"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": "[email protected] ", "language": "chinese", "position": {"atoms": [{"position_id": 327, "txt": "[email protected]\n ", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/p"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": " 以上内容与数据仅供参考，与界面有连云频道立场无关，不构成投资建议，使用前请核实。", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "\n 以上内容与数据仅供参考，与界面有连云频道立场无关，不构成投资建议，使用前请核实。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/p/br"}]}, "tags": ["br"], "label": "O", "web_segment_id": 31, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": "据此操作，风险自担。", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "据此操作，风险自担。", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/p/br"}]}, "tags": ["br"], "label": "O", "web_segment_id": 31, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "ETF严选", "language": "chinese", "position": {"atoms": [{"position_id": 332, "txt": "ETF严选", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[4]/div/a"}]}, "tags": [], "label": "O", "web_segment_id": 32, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "点赞", "language": "chinese", "position": {"atoms": [{"position_id": 334, "txt": "点赞", "x": "/html/body/div[1]/div[3]/div[1]/div/div[2]/div[1]/div[5]/div/div/div[1]/div/div[1]/i"}]}, "tags": [], "label": "O", "web_segment_id": 33, "global_sentence_id": 60, "edu_l1_label": "EDU_O"}, {"txt": "收藏", "language": "chinese", "position": {"atoms": [{"position_id": 336, "txt": "收藏", "x": 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"language": "chinese", "position": {"atoms": [{"position_id": 408, "txt": "2025年中国股市有望“转型牛”确立】", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[12]/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 59, "global_sentence_id": 104, "edu_l1_label": "EDU_O"}, {"txt": "4月A股市场可能会呈现先抑后扬的走势。", "language": "chinese", "position": {"atoms": [{"position_id": 410, "txt": "4月A股市场可能会呈现先抑后扬的走势。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "O", "web_segment_id": 60, "global_sentence_id": 105, "edu_l1_label": "EDU_O"}, {"txt": "中下旬开始，业绩披露高峰期将结束，而4月下旬召开的政治局会议可能会进一步定调财政支出提速或者其他稳增长的政策落地。", "language": "chinese", "position": {"atoms": [{"position_id": 411, "txt": "中下旬开始，业绩披露高峰期将结束，而4月下旬召开的政治局会议可能会进一步定调财政支出提速或者其他稳增长的政策落地。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "O", "web_segment_id": 60, "global_sentence_id": 106, "edu_l1_label": "EDU_O"}, {"txt": "随着外部冲击也有望阶段性缓解，市场或重新回到上行趋势并加速上行。", "language": "chinese", "position": {"atoms": [{"position_id": 412, "txt": "随着外部冲击也有望阶段性缓解，市场或重新回到上行趋势并加速上行。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "O", "web_segment_id": 60, "global_sentence_id": 107, "edu_l1_label": "EDU_O"}, {"txt": "此外，国泰君安证券指出，经过三年的出清、决策层对于扭转形势的决心以及无风险利率下降带动增量入市，2025年中国股市有望“转型牛”确立。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "此外，国泰君安证券指出，经过三年的出清、决策层对于扭转形势的决心以及无风险利率下降带动增量入市，2025年中国股市有望“转型牛”确立。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[14]"}]}, "tags": [], "label": "O", "web_segment_id": 61, "global_sentence_id": 108, "edu_l1_label": "EDU_O"}, {"txt": "接下来，海外市场的大幅波动下预计周初A股对扰动因素将会有快速计价，而负面预期的快速定价后，或存在短期修复性的机会与超跌反弹。", "language": "chinese", "position": {"atoms": [{"position_id": 415, "txt": "接下来，海外市场的大幅波动下预计周初A股对扰动因素将会有快速计价，而负面预期的快速定价后，或存在短期修复性的机会与超跌反弹。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[14]"}]}, "tags": [], "label": "O", "web_segment_id": 61, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "综合来看，Q2作为全年政策验证→盈利修复→趋势确立”的过渡期，既具备风险释放后的低位布局机会，又能捕捉科技与消费双主线的中长期逻辑。", "language": "chinese", "position": {"atoms": [{"position_id": 416, "txt": "综合来看，Q2作为全年政策验证→盈利修复→趋势确立”的过渡期，既具备风险释放后的低位布局机会，又能捕捉科技与消费双主线的中长期逻辑。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[14]"}]}, "tags": [], "label": "O", "web_segment_id": 61, "global_sentence_id": 110, "edu_l1_label": "EDU_O"}, {"txt": "鹏华中证A500指增(A类023339，C类023340)有望把握这一布局窗口。", "language": "chinese", "position": {"atoms": [{"position_id": 417, "txt": "鹏华中证A500指增(A类023339，C类023340)有望把握这一布局窗口。", "x": "/html/body/div[2]/div/div/div/div/div/div[3]/div[2]/p[14]"}]}, "tags": [], "label": "O", "web_segment_id": 61, "global_sentence_id": 111, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 量化强将护航，以A500指增应对复杂市！鹏华中证A500指增(A类023339，C类023340)正在发售中！ ## 【哑铃结构布局核心资产+科技成长】 ## 【A500指数之上，力争超额】 ## 【后市展望：2025年中国股市有望“转型牛”确立】
201501e7-62c0-4b15-a180-3d9e2746c49f
web
test/raw_web_htmls/201501e7-62c0-4b15-a180-3d9e2746c49f.html
https://bensbites.com/blog/bb-digest-disappointing-memories
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# BB Digest: Disappointing memories ## 🔎 What’s Trending ### ChatGPT wants to have infinite memory. ### OpenAI also released three new models on Monday—GPT-4.1, 4.1 mini and 4.1 nano. ### Wordware (i’m an investor) now integrates with 2,000+ apps & data-sources. ### Canva has a code generator now. ## 🔬 Tiny experiment ## ⚙️ Top tools ### Opennote - Make AI teach you by drawing Feynman-like diagrams. ### Pippit - Capcut has a new name for its tool for generating short marketing videos with avatars. ### Image Styles - Explore a variety of image styles generated by ChatGPT. ## 🌐 News flash ### Mira Murati and Ilya Sutskever are both raising billions for their AI companies without any product. ### Bolt can now connect to Stripe. ### Google is out there trying to talk to dolphins. ## 📜 You should read ### An illustrated primer about the state of voice agents in 2025. Good resource to bookmark and read on slowly. ### SF Compute: Commoditizing compute to solve the GPU bubble forever.
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"IOS"}, {"txt": "# 医疗军团作战模式", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "# 医疗军团作战模式", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/span"}]}, "tags": [], "label": "title1", "web_segment_id": 47, "global_sentence_id": 22, "edu_l1_label": "BOS"}, {"txt": "华为的“军团制度”自2021年由任正非提出，本质是一场向大公司病宣战的自我改革，以“打破部门壁垒、集中火力攻坚”闻名。", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": "华为的“军团制度”自2021年由任正非提出，本质是一场向大公司病宣战的自我改革，以“打破部门壁垒、集中火力攻坚”闻名。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "任正非提出这一模式时，外界曾质疑其“军事化管理是否适应现代企业”，但如今回看，这却成为华为在国外制裁重压下实现战略突围的关键棋局。", "language": "chinese", "position": {"atoms": [{"position_id": 356, "txt": "任正非提出这一模式时，外界曾质疑其“军事化管理是否适应现代企业”，但如今回看，这却成为华为在国外制裁重压下实现战略突围的关键棋局。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "军团模式的核心特点包括垂直行业深度聚焦、扁平化与自主权、跨部门资源整合以及目标导向与压力驱动。", "language": "chinese", "position": {"atoms": [{"position_id": 358, "txt": "军团模式的核心特点包括垂直行业深度聚焦、扁平化与自主权、跨部门资源整合以及目标导向与压力驱动。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "垂直行业深度聚焦：", "language": "chinese", "position": {"atoms": [{"position_id": 360, "txt": "垂直行业深度聚焦：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[12]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "每个军团针对特定行业（如煤矿、港口、智慧公路、光伏等），整合研发、销售、交付等全链条资源，形成“端到端”的解决方案能力。", "language": "chinese", "position": {"atoms": [{"position_id": 362, "txt": "每个军团针对特定行业（如煤矿、港口、智慧公路、光伏等），整合研发、销售、交付等全链条资源，形成“端到端”的解决方案能力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[12]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "扁平化与自主权：", "language": "chinese", "position": {"atoms": [{"position_id": 364, "txt": "扁平化与自主权：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "军团独立运作，直接向公司高层汇报，减少层级审批，决策链条短，可快速响应客户需求。", "language": "chinese", "position": {"atoms": [{"position_id": 366, "txt": "军团独立运作，直接向公司高层汇报，减少层级审批，决策链条短，可快速响应客户需求。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "团队规模通常控制在数十到百人，强调“小团队打硬仗”。", "language": "chinese", "position": {"atoms": [{"position_id": 368, "txt": "团队规模通常控制在数十到百人，强调“小团队打硬仗”。", "x": 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"军团制度打破原有产品线（如运营商BG、企业BG等）的割裂，从研发、供应链到服务部门抽调专家组成“混编团队”，集中力量攻坚。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[14]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "比如从各BG抽调专家组成攻坚小组，集中资源突破技术瓶颈，一旦验证市场机会，立即投入重资源。", "language": "chinese", "position": {"atoms": [{"position_id": 376, "txt": "比如从各BG抽调专家组成攻坚小组，集中资源突破技术瓶颈，一旦验证市场机会，立即投入重资源。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[14]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "目标导向与压力驱动：", "language": "chinese", "position": {"atoms": [{"position_id": 378, "txt": "目标导向与压力驱动：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "军团设定明确的收入增长或技术突破目标，考核严格，强调结果而非过程，部分军团需在成立首年实现盈利，未达标团队面临重组或淘汰。", "language": "chinese", "position": {"atoms": [{"position_id": 380, "txt": "军团设定明确的收入增长或技术突破目标，考核严格，强调结果而非过程，部分军团需在成立首年实现盈利，未达标团队面临重组或淘汰。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "同时个人收益与组织贡献强关联，践行“不让雷锋吃亏”的理念。", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "同时个人收益与组织贡献强关联，践行“不让雷锋吃亏”的理念。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "医疗卫生军团作为第21个军团，延续了“小团队、高自主权”的基因，团队规模控制在百人以内，直接向高层汇报，可跨部门调用研发、供应链资源，形成“快速需求响应-技术定制开发-场景落地验证”的闭环。", "language": "chinese", "position": {"atoms": [{"position_id": 384, "txt": "医疗卫生军团作为第21个军团，延续了“小团队、高自主权”的基因，团队规模控制在百人以内，直接向高层汇报，可跨部门调用研发、供应链资源，形成“快速需求响应-技术定制开发-场景落地验证”的闭环。", "x": 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# 华为杀入医疗圈！第21军团来袭 ## # 医疗军团作战模式 ## # 三大核心技术底牌 ### 昇腾AI算力 ### 瑞智病理大模型 ### 5G+云技术 ## # 牵手医疗上市公司 ### 润达医疗 ### 卫宁健康 ### 东软集团 ### 联影医疗 ### 安必平 ### 塞力医疗 ## # 巨头抢滩的新风口
02ae5d75-635a-49f3-9ba2-f6c9b625a6dd
web
test/raw_web_htmls/02ae5d75-635a-49f3-9ba2-f6c9b625a6dd.html
https://mp.weixin.qq.com/s?__biz=MzAwODUxMjY0OQ==&mid=2650889879&idx=3&sn=0ac69105a5bb323c4068ab991b19755a&scene=0
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# 27个！第二批国家碳达峰试点名单公布 ## 国家发展改革委办公厅关于印发第二批国家碳达峰试点名单的通知
a7bf8f6f-3896-4fe1-b0f4-b935a52002a4
web
test/raw_web_htmls/a7bf8f6f-3896-4fe1-b0f4-b935a52002a4.html
https://www.ifanr.com/1619185?utm_source=rss&utm_medium=rss&utm_campaign=
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"position": {"atoms": [{"position_id": 542, "txt": "小红书强调，尊重用户隐私、重视用户体验是平台长期以来践行的承诺，小红书深知只有在保障用户权益的基础上，才能真正保障用户体验。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "也感谢大家对平台的关注和建议。", "language": "chinese", "position": {"atoms": [{"position_id": 543, "txt": "也感谢大家对平台的关注和建议。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "曝 Manus AI 正洽谈 37 亿融资，估值暴涨 5 倍", "language": "chinese", "position": {"atoms": [{"position_id": 545, "txt": "曝 Manus AI 正洽谈 37 亿融资，估值暴涨 5 倍", "x": "/html/body/div/div[3]/div/div[1]/div/article/h3[4]"}]}, "tags": ["h3"], "label": "title1", "web_segment_id": 36, "global_sentence_id": 49, "edu_l1_label": "BOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3qTk2F2e5fUr2yTPkZ2z0OdG.png", 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549, "txt": "不久前 Manus 的国内产品 Monica 在北京完成了生成式人工智能服务登记，其背后的初创公司「蝴蝶效应」最近与一些美国投资者进行了面对面和在线的沟通。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "报道称，虽然中国的 AI 产品在美国面临限制的风险，随着 DeepSeek 的崛起，越来越多的美国投资者开始密切关注中国的 AI 产品。", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "报道称，虽然中国的 AI 产品在美国面临限制的风险，随着 DeepSeek 的崛起，越来越多的美国投资者开始密切关注中国的 AI 产品。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "蝴蝶效应公司方面目前拒绝对此消息置评。", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "蝴蝶效应公司方面目前拒绝对此消息置评。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "据悉 Manus 表示使用邀请码等待名单已经超过 260 万人。", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "据悉 Manus 表示使用邀请码等待名单已经超过 260 万人。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "Manus 发布时，曾因采用邀请码的方式进行预览体验，且邀请码数量过少，一度出现「一码难求」的市场局面。", "language": "chinese", "position": {"atoms": [{"position_id": 554, "txt": "Manus 发布时，曾因采用邀请码的方式进行预览体验，且邀请码数量过少，一度出现「一码难求」的市场局面。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "而 Manus 也在昨天正式公布了收费方案，共分为 Manus Starter 和 Manus Pro 两个版本：", "language": "chinese", "position": {"atoms": [{"position_id": 556, "txt": "而 Manus 也在昨天正式公布了收费方案，共分为 Manus Starter 和 Manus Pro 两个版本：", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "Manus Starter：", "language": "chinese", "position": {"atoms": [{"position_id": 558, "txt": "Manus Starter：", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "每月 3,900 积分；", "language": "chinese", "position": {"atoms": [{"position_id": 559, "txt": "每月 3,900 积分；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "同时运行最多 2 个任务；", "language": "chinese", "position": {"atoms": [{"position_id": 560, "txt": "同时运行最多 2 个任务；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "专属资源提升稳定性；", "language": "chinese", "position": {"atoms": [{"position_id": 561, "txt": "专属资源提升稳定性；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "扩展的上下文长度；", "language": "chinese", "position": {"atoms": [{"position_id": 562, "txt": "扩展的上下文长度；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "高峰时段优先访问。", "language": "chinese", "position": {"atoms": [{"position_id": 563, "txt": "高峰时段优先访问。", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 42, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "Manus Pro：", "language": "chinese", "position": {"atoms": [{"position_id": 565, "txt": "Manus Pro：", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 43, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "每月 19,900 积分；", "language": "chinese", "position": {"atoms": [{"position_id": 566, "txt": "每月 19,900 积分；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 43, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "同时运行最多 5 个 任务；", "language": "chinese", "position": {"atoms": [{"position_id": 567, "txt": "同时运行最多 5 个 任务；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 43, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "支持使用高投入模式和其他测试功能；", "language": "chinese", "position": {"atoms": [{"position_id": 568, "txt": "支持使用高投入模式和其他测试功能；", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 43, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "其他与 Starter 会员一致。", "language": "chinese", "position": {"atoms": [{"position_id": 569, "txt": "其他与 Starter 会员一致。", "x": "/html/body/div/div[3]/div/div[1]/div/article/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 43, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "此外，Manus AI App 也上架了 App Store，目前已支持 iPad、iPhone。", "language": "chinese", "position": {"atoms": [{"position_id": 571, "txt": "此外，Manus AI App 也上架了 App Store，目前已支持 iPad、iPhone。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "但该软件目前暂未上架国区 App Store。", "language": "chinese", "position": {"atoms": [{"position_id": 572, "txt": "但该软件目前暂未上架国区 App Store。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "丰田章男谈「日产本田合并」：", "language": "chinese", "position": {"atoms": [{"position_id": 574, "txt": "丰田章男谈「日产本田合并」：", "x": 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"position": {"atoms": [{"position_id": 577, "txt": "据 Automotive News 昨日报道，丰田董事长丰田章男在采访中，对「日产、本田合并失败」这一事件发表了看法。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "对于 2024 年 12 月举行的日产、本田联合发布会，丰田章男坦言「一开始听到消息时，很期待三家厂商能为标志性车型拿出什么谈判计划」，但发布会中并没有提及任何产品，这也令他十分失望。", "language": "chinese", "position": {"atoms": [{"position_id": 579, "txt": "对于 2024 年 12 月举行的日产、本田联合发布会，丰田章男坦言「一开始听到消息时，很期待三家厂商能为标志性车型拿出什么谈判计划」，但发布会中并没有提及任何产品，这也令他十分失望。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "丰田章男认为，讨论的重点应该是汽车本身，而不是商业概念。", "language": "chinese", "position": {"atoms": [{"position_id": 580, "txt": "丰田章男认为，讨论的重点应该是汽车本身，而不是商业概念。", "x": "/html/body/div/div[3]/div/div[1]/div/article/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 48, 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# 早报GPT4o 更新多个功能/vivo X200 Ultra 将配备独立拍照按键/Manus AI 收费方案正式公布 ## 📰 周末也值得一看的新闻 ### 小米 YU7 官方读音公布 ### 小红书回应「高频读取用户位置信息」问题 ### 曝 Manus AI 正洽谈 37 亿融资，估值暴涨 5 倍 ### 丰田章男谈「日产本田合并」：他们完全没提及产品 ### 三星聘请前百事首席设计官 ### 腾讯投资育碧新成立的子公司 ### 消息称百度云渠道生态总经理离职 ### 市场监管总局：加快推进 AI 领域国家标准研制工作 ### 全球首份 AI 心理治疗师报告诞生 ### 💡 Sam Altman：AI 并未影响我的生活 ### OpenAI GPT-4o 功能更新 ### vivo X200 Ultra 配备独立拍照按键 ### 微信新增「消息自动翻译」 ### Apple Music 迎来多项更新 ### 优衣库首个「美好生活」市集广州开幕 ### 腾讯元宝支持解析 36 种文件 ### 电影《下一个台风》撤档，导演回应 ### 《孤独的美食家 剧场版》宣布定档 ## ✨ 是周末啊！ ### One Fun Thing |AYANEO Pocket ACE 复古小掌机 ### 周末看什么 |《麦兜当当伴我心》 ### 买书不读指南｜《河边的错误》 ### 游戏推荐 |《骗子酒吧 Liar’s Bar》
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# Dems want answers on national security risks posed by hiring freeze, DOGE probes ## DOGE demands intensify ## Updated to add at 2200 UTC
758fd593-f410-493f-8194-3ac306980b62
web
test/raw_web_htmls/758fd593-f410-493f-8194-3ac306980b62.html
https://mp.weixin.qq.com/s?__biz=MzAwNTczMzcxMA==&mid=2655647107&idx=1&sn=5ab069acb7cf3cc29bdbffacf84f852b&chksm=816b6c2500d256b2cedcd0842901717ddf179d52625c704a72331e13e0e425656716cc3e2075&mpshare=1&scene=1&srcid=0103Bt3Qy8yIrc7O9Zp1dHEB&sharer_shareinfo=de0a37b18b46da6fb27e5ad1c5d74d75&sharer_shareinfo_first=de0a37b18b46da6fb27e5ad1c5d74d75#rd
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# 2025年，出版界有哪些值得期待的新书！ ## — —虚构类 — — ###  01安东尼·霍洛维茨《大限将至》悬疑推理 ###  02詹姆斯·乔伊斯《芬尼根的守灵夜》文学·小说 ###  03格奥尔基·戈斯波丁诺夫《时间庇护所》文学·小说 ### 04阿拉斯代尔·格雷《拉纳克：四卷书里的一生》文学·小说 ###  05金爱烂《其中一个是谎言》文学·小说 ###  06安妮·卡森《若非，冬天：萨福断章》文学·诗歌 ###  07阿来《寻金记》文学·小说 ###  08陈浩基《隐蔽嫌疑人》悬疑推理 ###  09斯蒂芬·金《恶魔地下室》悬疑推理 ###  10 菲利普·迪克《少数派报告》科幻小说 ## — —非虚构类 — — ###  01 余华《九岁的委屈和九十岁的委屈》（暂定名）文学评论 ###  02陈瑜《少年厌学》心理 ###  03上野千鹤子《情欲的脚本》社会·女性主义 ###  04易小荷《惹作》社会纪实 ###  05刘勃《说三分》历史 ###  06日本《朝日新闻》采访组《无退休社会》纪实 ###  07杰梅茵·格里尔《被塑造的女性》社会·女性主义 ###  08杨振宁《杨振宁讲物理》物理 ###  09W.斯科特·普尔《克苏鲁的崛起》传记 ###  10勒内·基拉尔《欲望的先知》人类学·访谈
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# Vibe Check: OpenAI’s o3, GPT-4.1, and o4-mini ## o3: OpenAI’s most powerful reasoning model ### What it’s great at: #### Tool use: #### Visual reasoning: ## GPT-4.1: Built for precision, not vibes ### What it’s great at: #### Follows complex instructions: #### It won’t lose your map: #### Thrives on structure: ## o4-mini: Small, sharp, and surprisingly capable ### What it’s great at: #### Packs a punch for its size: #### Same tools, lighter lift: ## What everyone at Every thinks… ### … about o3 #### o3 thinks like a prompt engineer #### o3 is the best teacher model yet ### … about 4.1 #### Built to ship, not to vibe #### Precise input, solid output #### Great for structure, weaker on elegance #### 4.1 might finally dethrone Sonnet for user interaction work #### But Gemini still leads in Cursor ### … about o4-mini ## What everyone else thinks… ### … about o3 #### Is o3 OpenAI’s stealth AGI? #### o3 gets enterprise nuance right ### … about 4.1 #### It’s about human collaboration, not just task completion #### O3 raises the ceiling for agentic reasoning #### Less reasoning, more instruction-following, faster coding ### … about o4-mini #### o4-mini outsmarts 4.1 on long memory #### It outpaces o3 on vision #### It’s incredibly fast at complex math #### Where o3 reasons heavily, o4-mini keeps it fast and straightforward ## How the new tools stack up against the competition ### 4.1 vs Claude 3.7 Sonnet ### o4-mini vs GPT-3.5
183eda5a-b8ea-41da-9478-6b16a79cba4b
web
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https://techcrunch.com/2025/02/03/what-powerschool-isnt-saying-about-its-massive-student-data-breach/
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{"txt": "Mark Racine, chief executive of the Boston-based education technology consulting firm RootED Solutions, told TechCrunch that while the report provides “some detail,” there is not enough information to “understand what went wrong.”", "language": "english", "position": {"atoms": [{"position_id": 419, "txt": "Mark Racine, chief executive of the Boston-based education technology consulting firm RootED Solutions, told TechCrunch that while the report provides “some detail,” there is not enough information to “understand what went wrong.”", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "It’s not known exactly how far back PowerSchool’s breach actually goes", "language": "english", "position": {"atoms": [{"position_id": 421, "txt": "It’s not known exactly how far back PowerSchool’s breach actually goes", "x": 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December’s breach, and the hacker accessed PowerSchool’s PowerSource, the same customer support portal compromised in December to gain access to PowerSchool’s school information system.", "language": "english", "position": {"atoms": [{"position_id": 429, "txt": "The access was gained using the same compromised credentials used in December’s breach, and the hacker accessed PowerSchool’s PowerSource, the same customer support portal compromised in December to gain access to PowerSchool’s school information system.", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "CrowdStrike said, however, that there is not enough evidence to conclude this is the same threat actor responsible for December’s breach due to insufficient logs.", "language": "english", "position": {"atoms": [{"position_id": 431, "txt": "CrowdStrike said, however, that there is not enough evidence to conclude this is the same threat actor responsible for December’s breach due to insufficient logs.", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "But the findings suggest that the hacker — or multiple hackers — may have had access to PowerSchool’s network for months before the access was detected.", "language": "english", "position": {"atoms": [{"position_id": 433, "txt": "But the findings suggest that the hacker — or multiple hackers — may have had access to PowerSchool’s network for months before the access was detected.", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "Do you have more information about the PowerSchool data breach?", "language": "english", "position": {"atoms": [{"position_id": 435, "txt": "Do you have more information about the PowerSchool data breach?", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[36]/em"}]}, "tags": ["em"], "label": "O", "web_segment_id": 45, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": " We’d love to hear from you.", "language": "english", "position": {"atoms": [{"position_id": 436, "txt": " We’d love to hear from you.", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[36]/em"}]}, "tags": ["em"], "label": "O", "web_segment_id": 45, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": " From a non-work device, you can contact Carly Page securely on Signal at +44 1536 853968 or via email at [email protected].", "language": "english", "position": {"atoms": [{"position_id": 437, "txt": " From a non-work device, you can contact Carly Page securely on Signal at +44 1536 853968 or via email at ", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[36]/em"}, {"position_id": 439, "txt": "[email protected]", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[36]/em/a"}, {"position_id": 441, "txt": ".", "x": "/html/body/div[2]/div[2]/main/div/div[1]/div[1]/p[36]/em/a"}]}, "tags": ["em"], "label": "O", "web_segment_id": 45, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# What PowerSchool won’t say about its data breach affecting millions of students ## PowerSchool hasn’t said how many students or staff are affected ## PowerSchool hasn’t said what types of data were stolen  ## PowerSchool won’t say how much it paid the hacker responsible for the breach ## We don’t know what evidence PowerSchool received that the stolen data has been deleted ## The hacker behind the data breach is not yet known ## CrowdStrike’s forensic report leaves questions unanswered ## It’s not known exactly how far back PowerSchool’s breach actually goes
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"position": {"atoms": [{"position_id": 209, "txt": "为用户提供了强大的数学公式识别与编辑功能，使得在 Microsoft Word 中处理复杂公式变得更加便捷和高效。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "插件的主要功能包括：", "language": "chinese", "position": {"atoms": [{"position_id": 210, "txt": "插件的主要功能包括：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "截图识别", "language": "chinese", "position": {"atoms": [{"position_id": 212, "txt": "截图识别", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/section/section/section/section/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 49, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "用户可以直接在 Word 中进行截图，插件会自动识别截图中的数学公式，并将其转换为  MathML 格式。", "language": "chinese", "position": {"atoms": [{"position_id": 214, "txt": "用户可以直接在 Word 中进行截图，插件会自动识别截图中的数学公式，并将其转换为  MathML 格式。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[12]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "无需手动输入公式，省时省力，尤其适合快速插入图像中的公式。", "language": "chinese", "position": {"atoms": [{"position_id": 215, "txt": "无需手动输入公式，省时省力，尤其适合快速插入图像中的公式。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[12]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/23BNHm40IwGu4dbjNK23gtlF.gif", "language": "chinese", "position": {"atoms": [{"position_id": 91, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/23BNHm40IwGu4dbjNK23gtlF.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[13]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 51, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "粘贴图识别：", "language": "chinese", "position": {"atoms": [{"position_id": 217, "txt": "粘贴图识别：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[3]/section/section/section/section/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 52, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "当用户将图片粘贴到 Word 文档中时，插件能够自动识别图片中的数学公式，并转换为可编辑的MathML 格式。", "language": "chinese", "position": {"atoms": [{"position_id": 219, "txt": "当用户将图片粘贴到 Word 文档中时，插件能够自动识别图片中的数学公式，并转换为可编辑的MathML 格式。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "这一功能让用户不必担心公式的手动输入，尤其适用于从其他文档或图片中提取公式的场景。", "language": "chinese", "position": {"atoms": [{"position_id": 220, "txt": "这一功能让用户不必担心公式的手动输入，尤其适用于从其他文档或图片中提取公式的场景。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3Ovrr81UJdlt3klQe7F95Qy.gif", "language": "chinese", "position": {"atoms": [{"position_id": 101, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3Ovrr81UJdlt3klQe7F95Qy.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[15]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 54, "global_sentence_id": 26, "edu_l1_label": "EDU_O"}, {"txt": "识别选择的图片", "language": "chinese", "position": {"atoms": [{"position_id": 222, "txt": "识别选择的图片", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/section/section/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 55, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "用户还可以选择已经插入到 Word 文档中的图片，插件将自动识别图片中的数学公式并转换为 MathML 格式。", "language": "chinese", "position": {"atoms": [{"position_id": 224, "txt": "用户还可以选择已经插入到 Word 文档中的图片，插件将自动识别图片中的数学公式并转换为 MathML 格式。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "这样，用户可以方便地对已有的公式进行提取和编辑，进一步提高工作效率。", "language": "chinese", "position": {"atoms": [{"position_id": 225, "txt": "这样，用户可以方便地对已有的公式进行提取和编辑，进一步提高工作效率。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3WNeB913ZlYm11fA8FLMLuV.gif", "language": "chinese", "position": {"atoms": [{"position_id": 113, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3WNeB913ZlYm11fA8FLMLuV.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[18]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 57, "global_sentence_id": 30, "edu_l1_label": "EDU_O"}, {"txt": "保存PDF", "language": "chinese", "position": {"atoms": [{"position_id": 227, "txt": "保存PDF", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section/section/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 58, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "插件支持将识别后的公式或文档内容保存为 PDF 文件，方便进行分享和打印。", "language": "chinese", "position": {"atoms": [{"position_id": 229, "txt": "插件支持将识别后的公式或文档内容保存为 PDF 文件，方便进行分享和打印。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "通过此功能，用户能够将编辑后的文档和公式轻松输出为高质量的 PDF 格式，适合需要进行正式发布或存档的场合。", "language": "chinese", "position": {"atoms": [{"position_id": 230, "txt": "通过此功能，用户能够将编辑后的文档和公式轻松输出为高质量的 PDF 格式，适合需要进行正式发布或存档的场合。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/146lrx1MOxWXRLb6YjYpeH.gif", "language": "chinese", "position": {"atoms": [{"position_id": 124, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/146lrx1MOxWXRLb6YjYpeH.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[20]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 60, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "写在最后", "language": "chinese", "position": {"atoms": [{"position_id": 232, "txt": "写在最后", "x": 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不仅提高了公式编辑的效率，还为教育工作者提供了优惠，使其在同类软件中具有较高的性价比。", "language": "chinese", "position": {"atoms": [{"position_id": 236, "txt": "通过不断更新和优化，SimpleTex 不仅提高了公式编辑的效率，还为教育工作者提供了优惠，使其在同类软件中具有较高的性价比。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[21]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "软件获取", "language": "chinese", "position": {"atoms": [{"position_id": 238, "txt": "软件获取", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[7]/section/section/section/section/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 63, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "官网下载或", "language": "chinese", "position": {"atoms": [{"position_id": 240, "txt": "官网下载或", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[22]/strong/span"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 64, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "微信关注\"各种学习资源\"，后台发送\"202501177\"", "language": "chinese", "position": {"atoms": [{"position_id": 242, "txt": "微信关注\"各种学习资源\"，后台发送\"202501177\"", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[23]/strong/span"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 65, "global_sentence_id": 41, "edu_l1_label": "EDU_O"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/H4peApPSOic0aOEDRaIKiatjlFWPl5LwKuj2kwqDv3Hv7kI1onRscLRaxkNg4WlaJXqGsm7wDraaQ8uv3H5Im6oQ/640?wx_fmt=png", "language": "chinese", "position": {"atoms": [{"position_id": 146, "txt": "<img https://mmbiz.qpic.cn/mmbiz_png/H4peApPSOic0aOEDRaIKiatjlFWPl5LwKuj2kwqDv3Hv7kI1onRscLRaxkNg4WlaJXqGsm7wDraaQ8uv3H5Im6oQ/640?wx_fmt=png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/p[24]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 66, "global_sentence_id": 42, "edu_l1_label": "EDU_O"}, {"txt": " 各种学习资源 ", "language": "chinese", "position": {"atoms": [{"position_id": 244, "txt": "\n 各种学习资源 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 84, "global_sentence_id": 43, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# SimpleTex重磅推出Word插件，公式识别、插入及编辑一键搞定！ ## 截图识别 ## 粘贴图识别： ## 识别选择的图片 ## 保存PDF ## 写在最后
3141b12f-5aa2-4957-863c-a310cfa5405a
web
test/raw_web_htmls/3141b12f-5aa2-4957-863c-a310cfa5405a.html
https://mp.weixin.qq.com/s?__biz=MjM5ODI5NTE2MA==&mid=2651852578&idx=1&sn=6a5712cd9db30d123e0955befba60164&scene=0
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"txt": "卡特身上有哪些被人误解的侧面？", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "为什么他让特朗普又爱又恨？", "language": "chinese", "position": {"atoms": [{"position_id": 614, "txt": "为什么他让特朗普又爱又恨？", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "他为美国留下了哪些特殊的政治遗产？", "language": "chinese", "position": {"atoms": [{"position_id": 615, "txt": "他为美国留下了哪些特殊的政治遗产？", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": " 核心提要", "language": "chinese", "position": {"atoms": [{"position_id": 617, "txt": " 核心提要", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[1]/strong/span/strong/span/span[1]/span[2]/strong/span"}]}, "tags": ["strong"], "label": "abstract", "web_segment_id": 43, "global_sentence_id": 16, "edu_l1_label": "BOS"}, {"txt": "1.卡特的政治理念受到南方成长背景的深刻影响。", "language": "chinese", "position": {"atoms": [{"position_id": 619, "txt": "1.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[2]/span[1]"}, {"position_id": 621, "txt": "卡特的政治理念受到南方成长背景的深刻影响。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[2]/span[2]"}]}, "tags": [], "label": "abstract", "web_segment_id": 44, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "他在年轻时目睹了大萧条和种族隔离的困境，且与父亲的种族主义观点背道而驰。", "language": "chinese", "position": {"atoms": [{"position_id": 623, "txt": "他在年轻时目睹了大萧条和种族隔离的困境，且与父亲的种族主义观点背道而驰。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[2]/span[3]"}]}, "tags": [], "label": "abstract", "web_segment_id": 44, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "尽管初期卡特为了当选州长曾通过支持种族隔离争取选民，但当上州长后，他迅速推翻了这些立场，任命了大量黑人官员，成为南方民权运动的支持者。", "language": "chinese", "position": {"atoms": [{"position_id": 625, "txt": "尽管初期卡特为了当选州长曾通过支持种族隔离争取选民，但当上州长后，他迅速推翻了这些立场，任命了大量黑人官员，成为南方民权运动的支持者。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[2]/span[4]"}]}, "tags": [], "label": "abstract", "web_segment_id": 44, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "2.卡特成功当选总统，一定程度上是因为水门事件和越南战争后，罗斯福新政和伟大社会所构建的正面政府形象已经在选民中彻底崩塌。", "language": "chinese", "position": {"atoms": [{"position_id": 627, "txt": "2.", "x": 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"两人都煽动民粹主义，并利用媒体，同时也愿意放弃意识形态与世界各国打交道。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[3]/span[3]"}]}, "tags": [], "label": "abstract", "web_segment_id": 45, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "3.卡特，而不是里根，才是美国真正的第一位新自由主义总统。", "language": "chinese", "position": {"atoms": [{"position_id": 634, "txt": "3.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[4]/span[1]"}, {"position_id": 636, "txt": "卡特，而不是里根，才是美国真正的第一位新自由主义总统。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[4]/span[2]"}]}, "tags": [], "label": "abstract", "web_segment_id": 46, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "卡特的国内政策的基础逻辑，是建立在南方政治传统中盛行的“有限政府”的理论框架之上，而并非秉承新政以来两党总统都效法的“有为政府”战后共识。", "language": "chinese", "position": {"atoms": [{"position_id": 638, "txt": 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{"atoms": [{"position_id": 672, "txt": "卡特的执政失利，最终导致了美国政治平衡的整体右转，民主党逐渐走向精英化官僚化。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[5]/span[15]"}]}, "tags": [], "label": "abstract", "web_segment_id": 47, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "5.卡特最重要的外交成就之一是在1979年成功推动了中美建交，同时他在中东和美洲的和平协议上发挥了显著作用，他推动了《戴维营协议》，实现了以色列与阿拉伯国家的和平，此外，他还做出了与巴拿马归还运河的重大决策。", "language": "chinese", "position": {"atoms": [{"position_id": 674, "txt": "5.卡特最重要的外交成就之一是在1979年成功推动了中美建交，同时他在中东和美洲的和平协议上发挥了显著作用，他推动了《戴维营协议》，实现了以色列与阿拉伯国家的和平，此外，他还做出了与巴拿马归还运河的重大决策。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/section/section[2]/section[6]/span[1]"}]}, "tags": [], "label": "abstract", "web_segment_id": 48, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "尽管卡特的外交决策在当时受到质疑，但多年后被证明具有远见。", "language": "chinese", "position": {"atoms": [{"position_id": 676, "txt": 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{"atoms": [{"position_id": 682, "txt": "2024年12月29日，不久之前刚刚庆祝了百岁生日的吉米·卡特，在佐治亚家中安然离世，在拜登政府的末尾，即将再度进入特朗普时代美国政坛又挥手告别了一位故人。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 33, "edu_l1_label": "BOS"}, {"txt": "有关卡特生平事迹，功过是非，以及他高尚人格和传奇人生的文章和讨论已有很多，大部分写的也都非常有深度，经得住历史事实考验。", "language": "chinese", "position": {"atoms": [{"position_id": 684, "txt": "有关卡特生平事迹，功过是非，以及他高尚人格和传奇人生的文章和讨论已有很多，大部分写的也都非常有深度，经得住历史事实考验。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "毕竟，卡特自从2023年2月宣布进入临终关怀之后，大众已经对这位历史上最长寿的美国总统离世做好了充足的准备。", "language": "chinese", "position": {"atoms": [{"position_id": 685, "txt": "毕竟，卡特自从2023年2月宣布进入临终关怀之后，大众已经对这位历史上最长寿的美国总统离世做好了充足的准备。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[6]/span"}]}, "tags": [], "label": "content", 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"chinese", "position": {"atoms": [{"position_id": 688, "txt": "▎", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span[1]/strong/span"}, {"position_id": 690, "txt": "2023年", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span[2]"}, {"position_id": 692, "txt": "11月，前总统吉米·卡特在亚特兰大为他结婚七十多年的妻子罗莎琳·卡特举行葬礼。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span[3]"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "图源：", "language": "chinese", "position": {"atoms": [{"position_id": 693, "txt": "图源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span[3]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "美联社", "language": "chinese", "position": {"atoms": [{"position_id": 694, "txt": "美联社", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[7]/span[3]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "不出意料的是，“他是一个好人，是‘最杰出’的前总统，却是一个失败的总统”，这一段几乎已经成为外界对卡特政治生涯和百年人生的评价共识，作为主旨贯穿了几乎所有对卡特的纪念文章。", "language": "chinese", "position": {"atoms": [{"position_id": 696, "txt": "不出意料的是，“他是一个好人，是‘最杰出’的前总统，却是一个失败的总统”，这一段几乎已经成为外界对卡特政治生涯和百年人生的评价共识，作为主旨贯穿了几乎所有对卡特的纪念文章。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "但如果让卡特本人来评价这段话，他恐怕会第一个发表反对意见。", "language": "chinese", "position": {"atoms": [{"position_id": 697, "txt": "但如果让卡特本人来评价这段话，他恐怕会第一个发表反对意见。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": 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83, "edu_l1_label": "IOS"}, {"txt": "卡特在就任州长后，迅速宣布“种族主义的时代已经结束”，背刺了许多刚刚把他抬进了州长官邸的种族隔离主义者。", "language": "chinese", "position": {"atoms": [{"position_id": 770, "txt": "卡特在就任州长后，迅速宣布“种族主义的时代已经结束”，背刺了许多刚刚把他抬进了州长官邸的种族隔离主义者。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[24]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 68, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "在卡特担任佐治亚州长的四年期间内，他提拔任命了大量黑人官员和幕僚，为一个后民权运动后种族隔离制度时代的新南方勾勒出了一个和解的蓝图。", "language": "chinese", "position": {"atoms": [{"position_id": 772, "txt": "在卡特担任佐治亚州长的四年期间内，他提拔任命了大量黑人官员和幕僚，为一个后民权运动后种族隔离制度时代的新南方勾勒出了一个和解的蓝图。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[24]/span"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "但是卡特的州长生涯中与佐治亚州议会关系紧张，同时也暴露了他不善处理政客之间人际关系，过于自傲相信自我和对选民直接号召力的缺陷。", "language": "chinese", "position": {"atoms": [{"position_id": 773, "txt": 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69, "global_sentence_id": 88, "edu_l1_label": "EDU_O"}, {"txt": "▎1971年2月19日，佐治亚州州长吉米·卡特坐在亚特兰大的办公桌前。", "language": "chinese", "position": {"atoms": [{"position_id": 776, "txt": "▎", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[25]/span[1]/strong/span"}, {"position_id": 778, "txt": "1971年2月19日，佐治亚州州长吉米·卡特坐在亚特兰大的办公桌前。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[25]/span[2]"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 69, "global_sentence_id": 89, "edu_l1_label": "EDU_O"}, {"txt": "图源：", "language": "chinese", "position": {"atoms": [{"position_id": 780, "txt": "图源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[25]/span[2]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 69, "global_sentence_id": 90, "edu_l1_label": "EDU_O"}, {"txt": "美联社", "language": "chinese", "position": {"atoms": [{"position_id": 782, "txt": "美联社", "x": 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"x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[45]/section/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 86, "global_sentence_id": 140, "edu_l1_label": "BOS"}, {"txt": "卡特虽然赢得惊险，但彼时国会民主党却在两院手握巨大优势，拥有超过众院三分之二，参院五分之三的超级多数。", "language": "chinese", "position": {"atoms": [{"position_id": 867, "txt": "卡特虽然赢得惊险，但彼时国会民主党却在两院手握巨大优势，拥有超过众院三分之二，参院五分之三的超级多数。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[46]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "按说，卡特即便不能做到一个罗斯福第二，也应该能和60年代力推伟大社会的林登·约翰逊一样做成许多大事，为自己和民主党留下一份丰硕的政治遗产。", "language": "chinese", "position": {"atoms": [{"position_id": 868, "txt": "按说，卡特即便不能做到一个罗斯福第二，也应该能和60年代力推伟大社会的林登·约翰逊一样做成许多大事，为自己和民主党留下一份丰硕的政治遗产。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[46]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3awuwG1NS5pf1I4LO2SOVED.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 340, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3awuwG1NS5pf1I4LO2SOVED.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 88, "global_sentence_id": 143, "edu_l1_label": "EDU_O"}, {"txt": "▎1977年，卡特在华盛顿特区国会大厦宣誓就任美国第39任总统。", "language": "chinese", "position": {"atoms": [{"position_id": 870, "txt": "▎", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span[1]/strong/span"}, {"position_id": 872, "txt": "1977年，", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span[2]"}, {"position_id": 874, "txt": "卡特在华盛顿特区国会大厦宣誓就任美国第39任总统。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span[3]"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 88, "global_sentence_id": 144, "edu_l1_label": "EDU_O"}, {"txt": "图源：", "language": "chinese", "position": {"atoms": [{"position_id": 875, "txt": "图源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span[3]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 88, "global_sentence_id": 145, "edu_l1_label": "EDU_O"}, {"txt": "美联社", "language": "chinese", "position": {"atoms": [{"position_id": 876, "txt": "美联社", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span[3]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 88, "global_sentence_id": 146, "edu_l1_label": "EDU_O"}, {"txt": "问题在于，卡特本人并不像后继者里根，克林顿一样，选举时宣传自己是局外人，当选后却积极融入华府的政治秩序，比较顺利地完成了从外到里的政治转型，而是真真正正的笃信自己的政治理念和选民赋予他的变革使命。", "language": "chinese", "position": {"atoms": [{"position_id": 878, "txt": "问题在于，卡特本人并不像后继者里根，克林顿一样，选举时宣传自己是局外人，当选后却积极融入华府的政治秩序，比较顺利地完成了从外到里的政治转型，而是真真正正的笃信自己的政治理念和选民赋予他的变革使命。", "x": 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"为了应对能源危机，卡特上台之后提出了一揽子能源政策纾困计划交由国会审核，为了说服部分持反对态度的本党议员，卡特利用在国会联席会议讲话的机会公开向议员和全国选民喊话，希望通过公众舆论的压力迫使国会就范。", "language": "chinese", "position": {"atoms": [{"position_id": 883, "txt": "为了应对能源危机，卡特上台之后提出了一揽子能源政策纾困计划交由国会审核，为了说服部分持反对态度的本党议员，卡特利用在国会联席会议讲话的机会公开向议员和全国选民喊话，希望通过公众舆论的压力迫使国会就范。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[49]/span"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "演讲结束后，奥尼尔向卡特表达了祝贺，认为他的演讲非常成功，但他与此同时他给了卡特一份名单，敦促他逐一致电施压。", "language": "chinese", "position": {"atoms": [{"position_id": 884, "txt": "演讲结束后，奥尼尔向卡特表达了祝贺，认为他的演讲非常成功，但他与此同时他给了卡特一份名单，敦促他逐一致电施压。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[49]/span"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "出乎奥尼尔意料的是，卡特断然拒绝了他的请求。", "language": "chinese", "position": {"atoms": [{"position_id": 885, "txt": "出乎奥尼尔意料的是，卡特断然拒绝了他的请求。", "x": 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"卡特认为，他已经向全美民众申明了自己的态度，国会议员应该主动加入他完成这项对全民福祉有利的正义事业，一如他当年在佐治亚面临种保守派议员反对就直接跳过他们请求民众支持一项政策那样，无需要再搞什么林登·约翰逊式的立法施压。", "language": "chinese", "position": {"atoms": [{"position_id": 897, "txt": "卡特认为，他已经向全美民众申明了自己的态度，国会议员应该主动加入他完成这项对全民福祉有利的正义事业，一如他当年在佐治亚面临种保守派议员反对就直接跳过他们请求民众支持一项政策那样，无需要再搞什么林登·约翰逊式的立法施压。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[52]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 92, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "面对卡特坚定顽固的态度，奥尼尔也只能暗暗叫苦，善意劝告卡特对待国会这些成就斐然，智商超人的政治老狐狸们，远不能像对待佐治亚州议会的业余兼职议员那般“无礼”。", "language": "chinese", "position": {"atoms": [{"position_id": 899, "txt": "面对卡特坚定顽固的态度，奥尼尔也只能暗暗叫苦，善意劝告卡特对待国会这些成就斐然，智商超人的政治老狐狸们，远不能像对待佐治亚州议会的业余兼职议员那般“无礼”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[52]/span"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "在与国会打交道的过程中，卡特展示出的傲慢态度，和他后来传世的软弱老好人全然不符，也自然而然导致了他执政其间和本党主政国会矛盾重重，他的能源法案最后也是落得个胎死腹中，只能通过缩水版的下场。", "language": "chinese", "position": {"atoms": [{"position_id": 901, "txt": "在与国会打交道的过程中，卡特展示出的傲慢态度，和他后来传世的软弱老好人全然不符，也自然而然导致了他执政其间和本党主政国会矛盾重重，他的能源法案最后也是落得个胎死腹中，只能通过缩水版的下场。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 93, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "迟迟不能融入华盛顿节奏的结果就是卡特政府四年内民主党坐拥巨大国会两院的绝对多数却内斗不止，最终在国内立法层面成就乏善可陈。", "language": "chinese", "position": {"atoms": [{"position_id": 902, "txt": "迟迟不能融入华盛顿节奏的结果就是卡特政府四年内民主党坐拥巨大国会两院的绝对多数却内斗不止，最终在国内立法层面成就乏善可陈。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 93, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/v7rJT2KLTwq2OL9AS2IuYGI.png", "language": "chinese", "position": 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944, "txt": "图源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[65]/span[2]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 103, "global_sentence_id": 186, "edu_l1_label": "EDU_O"}, {"txt": "The White House Photo", "language": "chinese", "position": {"atoms": [{"position_id": 946, "txt": "The White House Photo", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[65]/span[3]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 103, "global_sentence_id": 187, "edu_l1_label": "EDU_O"}, {"txt": "因此，卡特任内国内政策的基础逻辑，是建立在南方政治传统中盛行的“有限政府”的理论框架之上，而并非秉承新政以来两党总统都效法的“有为政府”战后共识。", "language": "chinese", "position": {"atoms": [{"position_id": 948, "txt": "因此，卡特任内国内政策的基础逻辑，是建立在南方政治传统中盛行的“有限政府”的理论框架之上，而并非秉承新政以来两党总统都效法的“有为政府”战后共识。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[66]/span"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": 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258, "edu_l1_label": "EDU_O"}, {"txt": "图源：", "language": "chinese", "position": {"atoms": [{"position_id": 1070, "txt": "图源：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[89]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 126, "global_sentence_id": 259, "edu_l1_label": "EDU_O"}, {"txt": "视觉中国", "language": "chinese", "position": {"atoms": [{"position_id": 1071, "txt": "视觉中国", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[89]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 126, "global_sentence_id": 260, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3XV1vj4f3HBT3NGvGd4Dnmep.png", "language": "chinese", "position": {"atoms": [{"position_id": 521, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3XV1vj4f3HBT3NGvGd4Dnmep.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[90]/img"}]}, "tags": ["img"], "label": 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132, "global_sentence_id": 273, "edu_l1_label": "EDU_O"}, {"txt": "王立群教授曾在百家讲坛有过名言：", "language": "chinese", "position": {"atoms": [{"position_id": 1094, "txt": "王立群教授曾在百家讲坛有过名言：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "“小人物怕政府，大人物怕历史”。", "language": "chinese", "position": {"atoms": [{"position_id": 1095, "txt": "“小人物怕政府，大人物怕历史”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "对于美国总统来说，历史会怎样评价他们，往往是他们任内政策决断时在反复思考的重要考量因素。", "language": "chinese", "position": {"atoms": [{"position_id": 1097, "txt": "对于美国总统来说，历史会怎样评价他们，往往是他们任内政策决断时在反复思考的重要考量因素。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 133, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "就拜登而言，他的历史评价究竟如何，还是要看未来四年特朗普2.0时代究竟会带领美国走向何方。", "language": "chinese", "position": {"atoms": [{"position_id": 1099, "txt": "就拜登而言，他的历史评价究竟如何，还是要看未来四年特朗普2.0时代究竟会带领美国走向何方。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 133, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "而即将入土为安的卡特，相信不管是支持还是反对他的人都能一致同意——他的百年人生，让这个世界变成了一个更加美好的地方。", "language": "chinese", "position": {"atoms": [{"position_id": 1101, "txt": "而即将入土为安的卡特，相信不管是支持还是反对他的人都能一致同意——他的百年人生，让这个世界变成了一个更加美好的地方。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[98]/span"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/ibiagGI3WBLaufS8sf1B4pm8wArJgMptFyftwVEPdDTSMCdhDgzRjvxJaT0v88fNrl0OIhknhTnCdJlSYHyb5lZA/640?wx_fmt=png", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "<img https://mmbiz.qpic.cn/mmbiz_png/ibiagGI3WBLaufS8sf1B4pm8wArJgMptFyftwVEPdDTSMCdhDgzRjvxJaT0v88fNrl0OIhknhTnCdJlSYHyb5lZA/640?wx_fmt=png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 135, "global_sentence_id": 279, "edu_l1_label": "EDU_O"}, {"txt": " 凤凰新闻 ", "language": "chinese", "position": {"atoms": [{"position_id": 1103, "txt": "\n 凤凰新闻 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 153, "global_sentence_id": 280, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 让特朗普又爱又恨，卡特的遗产如何影响今日美国？ ## 早年卡特 ## 意外登场的无名氏 ## 无法融入的外来者 ## 复杂的国内政治遗产 ## 长远的国内政治影响 ## 先抑后扬的外交政策 ## "仁人卡特"
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["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "An example of such a hierarchy is shown in Figure 1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.516, 0.502, 0.915, 0.692]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "The root is an artificially added, most abstract event.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.516, 0.502, 0.915, 0.692]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "For instance, AssemblyLoader/Start_System_Threading represents a very specific and detailed event.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 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can remove such limitations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.301, 0.251, 0.48, 0.258], [0.088, 0.264, 0.48, 0.272], [0.087, 0.279, 0.364, 0.287]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "3.1 Event Log Encoding", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.087, 0.307, 0.271, 0.318]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "Most NLP algorithms are applied to sequential data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.087, 0.325, 0.453, 0.334]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "For the task of event log analysis, we need to represent logs as sequences for further application of the algorithm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.453, 0.325, 0.48, 0.334], [0.087, 0.341, 0.48, 0.349], [0.087, 0.357, 0.425, 0.364]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "Table 1 shows an example fragment of an event log, where each event has three mandatory attributes:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.085, 0.37, 0.486, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": " it is the realiza-tion of some activity from the set of activities$\\mathbb {A}-ac_{i},$ 2timestamp $ts_{i}$i corresponding to the event's start time, and a process identifier during which it was executed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.085, 0.37, 0.486, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "The set A is finite and defined by the set of activities allowed in the .NET runtime environment, their list is presented in the Appendix of the work [6].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.085, 0.37, 0.486, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "Table 1. Example fragment of a low-level event log from the CLR environment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.086, 0.506, 0.483, 0.531]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.103, 0.55, 0.463, 0.638]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 9, "global_sentence_id": 60, "edu_l1_label": "EDU_O"}, {"txt": "The considered event log contains events related to the .NET application's execution thread (e.g.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.085, 0.658, 0.483, 0.744]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "ID 31237)and system threads (e.g., ID -1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.085, 0.658, 0.483, 0.744]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "These events can be combined into one trace by merging events according to their IDs and timestamps, resulting in the trace $\\text {trace}_{1}=$<Method/MemoryAllocatedForJitCode,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.085, 0.658, 0.483, 0.744]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "GC/SampledObjectAllocation,Method/LoadVerbose,Buffer/Returned).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 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"tags": ["text"], "label": "content", "web_segment_id": 21, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "After completing the tok-enizer training, we obtained the final set of permitted tokens,denoted as T, where each token represents a subsequence of Unicode characters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.743, 0.321, 0.913, 0.327], [0.519, 0.336, 0.914, 0.344], [0.52, 0.349, 0.913, 0.357], [0.519, 0.364, 0.652, 0.372]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 21, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Any sequence seqi can be represented as toker$_{}=\\left(t_{j}\\right.$ $\\left.t_{j}\\in \\mathbb {T},=1,\\cdots ,\\varphi (\\text {q})\\right),$ where $φ(seq)$ determines the number of tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.516, 0.377, 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"edu_l1_label": "IOS"}, {"txt": "Each token is encoded with a unique number correspond-ing to a value in the embedding table (numeric vectors),which in turn are trainable parameters of the neural network,the configuration of which we will describe in Section 3.2.Using numeric vectors, we can encode traces and feed them to the neural network input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.535, 0.47, 0.914, 0.477], [0.519, 0.485, 0.914, 0.494], [0.519, 0.502, 0.915, 0.511], [0.52, 0.515, 0.914, 0.524], [0.519, 0.529, 0.904, 0.539], [0.518, 0.545, 0.708, 0.554]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 23, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "3.2 Neural Network Configuration", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.519, 0.574, 0.783, 0.583]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 24, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "A key algorithm in deep learning, especially in NLP, is the transformer architecture [7], which consists of an encoder and a decoder.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.519, 0.592, 0.911, 0.601], [0.519, 0.609, 0.911, 0.617], [0.519, 0.626, 0.62, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "The encoder processes the input sequence with the attention mechanism and feed-forward layers,pro-ducing vectors that the decoder further transforms into a probability vector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.62, 0.626, 0.91, 0.632], [0.519, 0.641, 0.913, 0.647], [0.519, 0.653, 0.91, 0.662], [0.519, 0.671, 0.645, 0.677]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "BERT [1] is a transformer model that is based only on the encoder and applies attention to tokens based on their context within a sequence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.645, 0.671, 0.91, 0.677], [0.519, 0.682, 0.911, 0.692], [0.519, 0.698, 0.797, 0.707]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "One of the ways to train BERT is the Masked Language Modeling (MLM) approach, which involves masking a certain percentage of randomly selected tokens with a special token [MASK].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.535, 0.713, 0.911, 0.723], [0.518, 0.729, 0.91, 0.737], [0.519, 0.747, 0.91, 0.753], [0.52, 0.758, 0.582, 0.767]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 26, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "During training, the model aims to minimize the loss function's error by predicting the token hidden behind the [MASK].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.582, 0.758, 0.91, 0.768], [0.519, 0.773, 0.91, 0.782], [0.519, 0.789, 0.608, 0.798]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 26, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "We claim that a model trained on unlabeled correct (without anomalies) event logs can detect events that do not match the context of normal behavior.For this reason,in this work, we apply a BERT-based model for anomaly detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.608, 0.789, 0.911, 0.797], [0.519, 0.807, 0.912, 0.812], [0.52, 0.819, 0.915, 0.83], [0.519, 0.835, 0.911, 0.845], [0.52, 0.849, 0.586, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 26, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "After analyzing existing BERT-based model architectures,we selected the SQUEEZEBERT architecture [4] for this work.The authors of the work presenting this architecture show", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.535, 0.865, 0.915, 0.874], [0.519, 0.881, 0.915, 0.888], [0.518, 0.895, 0.904, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 27, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.087, 0.061, 0.317, 0.07]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 91, "edu_l1_label": "EDU_O"}, {"txt": "that the majority of the model's parameters and the bulk of the time during its application are concentrated in the feed-forward layers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.087, 0.095, 0.481, 0.103], [0.087, 0.11, 0.484, 0.115], [0.087, 0.125, 0.189, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "They propose a convolution-based approach borrowed from the field of computer vision to optimize the neural network.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.189, 0.125, 0.475, 0.133], [0.087, 0.14, 0.479, 0.148], [0.087, 0.158, 0.195, 0.164]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "As a result, they manage to reduce the num-ber of parameters to approximately 40 million, compared to 100 million in original BERT, which requires less computa-tional resources, without significant loss of quality.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.195, 0.158, 0.482, 0.164], [0.087, 0.169, 0.48, 0.179], [0.087, 0.185, 0.483, 0.193], [0.087, 0.201, 0.428, 0.208]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "4 Method", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.087, 0.229, 0.185, 0.239]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 95, "edu_l1_label": "BOS"}, {"txt": "4.1 Patterns Detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.087, 0.249, 0.261, 0.258]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "Algorithm 1 Algorithm for Extracting Traces", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.087, 0.282, 0.395, 0.292]]}]}, "tags": ["title"], "label": "code_title", "web_segment_id": 5, "global_sentence_id": 97, "edu_l1_label": "EDU_O"}, {"txt": "1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.092, 0.302, 0.104, 0.308]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 6, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": " function PROCESSXESTRACES(input_filepath)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.104, 0.302, 0.32, 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[{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.091, 0.542, 0.164, 0.549]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 25, "global_sentence_id": 135, "edu_l1_label": "EDU_O"}, {"txt": " end for", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.091, 0.542, 0.164, 0.549]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 25, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "9:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.09, 0.552, 0.427, 0.561]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 26, "global_sentence_id": 137, "edu_l1_label": "EDU_O"}, {"txt": " processed_traces$\\leftarrow$TokenizeSequences(sequences,LoA)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.09, 0.552, 0.427, 0.561]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 26, "global_sentence_id": 138, "edu_l1_label": "EDU_O"}, {"txt": "10:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.087, 0.563, 0.254, 0.571]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 27, "global_sentence_id": 139, "edu_l1_label": "EDU_O"}, {"txt": " return processed_traces", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.087, 0.563, 0.254, 0.571]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 27, "global_sentence_id": 140, "edu_l1_label": "EDU_O"}, {"txt": "11:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.088, 0.573, 0.106, 0.578]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 28, "global_sentence_id": 141, "edu_l1_label": "EDU_O"}, {"txt": "end function", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.106, 0.573, 0.172, 0.58]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 28, "global_sentence_id": 142, "edu_l1_label": "EDU_O"}, {"txt": "Tokens in the tokenizer's dictionary reflect frequently occurring interactions, thus considered patterns in this work.For instance, a group of events events encoded by symbols $a$,$b$,c appearing as the token bac in the event trace is a pattern.We trained 13 tokenizers with dictionary sizes from 512 to 20,000 tokens, some with a maximum token length limit,to analyze these patterns at different abstraction levels-higher levels encode larger numbers of events into single tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.086, 0.607, 0.484, 0.737]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 29, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "The pattern detection process involves two algorithms.Algorithm 1 describes obtaining a list of traces from raw CLR low-level event logs by extracting necessary columns and combining events by timestamps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.105, 0.744, 0.484, 0.752], [0.088, 0.759, 0.479, 0.767], [0.087, 0.774, 0.48, 0.783], [0.087, 0.791, 0.342, 0.797]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 30, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "Algorithm 2 extracts tokens from event traces at a specified abstraction level (LoA),forming a list of acceptable events and applying a mapping to create sequences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.342, 0.791, 0.48, 0.797], [0.087, 0.806, 0.483, 0.814], [0.087, 0.819, 0.48, 0.828], [0.087, 0.837, 0.203, 0.843]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 30, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "These sequences are then tokenized using the trained tokenizers, resulting in a list of tokens for each trace.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.203, 0.837, 0.48, 0.845], [0.087, 0.849, 0.48, 0.858], [0.087, 0.865, 0.124, 0.873]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 30, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "Consider an example of the results of the pattern search algorithms on event logs of $25C\\#$ program runs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.086, 0.879, 0.483, 0.906]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 31, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.569, 0.094, 0.865, 0.179]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 32, "global_sentence_id": 148, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2. Non tokenized log", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.618, 0.194, 0.813, 0.205]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 33, "global_sentence_id": 149, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.567, 0.227, 0.864, 0.312]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 34, "global_sentence_id": 150, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3. Tokenized log with LoA 10", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.59, 0.328, 0.841, 0.342]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 35, "global_sentence_id": 151, "edu_l1_label": "EDU_O"}, {"txt": "We visualized the obtained traces, showing the trace ID on the horizontal axis and the number of events (tokens)on the vertical axis, with each color representing a different token/event.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.535, 0.366, 0.91, 0.374], [0.519, 0.384, 0.913, 0.391], [0.519, 0.399, 0.913, 0.405], [0.519, 0.413, 0.603, 0.42]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 36, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "Tokenization not only significantly reduced the average trace length from 8000 events in the non-tokenized log (Figure 2) to 200-300 tokens at an abstraction level of 10(Figure 3), but also produced a list of frequently co-occurring events during program execution, which is the set of to-kens of the encoded trace of program execution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.603, 0.413, 0.91, 0.42], [0.519, 0.429, 0.91, 0.436], [0.519, 0.442, 0.91, 0.451], [0.518, 0.456, 0.91, 0.467], [0.519, 0.474, 0.914, 0.48], [0.519, 0.485, 0.855, 0.495]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 36, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "This list can be further analyzed by domain experts to gain deeper insights into the execution process and potentially identify performance bottlenecks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.855, 0.485, 0.912, 0.495], [0.519, 0.504, 0.91, 0.511], [0.519, 0.518, 0.911, 0.528], [0.519, 0.535, 0.689, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 36, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "The method of pattern detection presented in this work is an alternative to the repeated alphabets method presented in [6].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.534, 0.547, 0.912, 0.556], [0.519, 0.565, 0.91, 0.571], [0.519, 0.579, 0.56, 0.586]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 37, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "Thus, we can say that our method is more versatile as it is used not only for pattern search, but also when using the SQUEEZEBERT neural network.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.56, 0.579, 0.911, 0.586], [0.519, 0.594, 0.91, 0.604], [0.519, 0.608, 0.751, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 37, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "4.2 Anomalies Detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.519, 0.634, 0.71, 0.643]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 38, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "Anomaly detection is based on the SQUEEZEBERT neural network architecture, and there are two main approaches in the NLP field for using machine learning models.The first approach involves fine-tuning an already trained model for specific tasks, which is usually optimal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.519, 0.654, 0.911, 0.662], [0.519, 0.671, 0.911, 0.677], [0.519, 0.684, 0.911, 0.692], [0.519, 0.698, 0.912, 0.707], [0.519, 0.713, 0.815, 0.727]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 39, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "However,this approach is not feasible in our case as the BERT-based model has not been previously applied to .NET CLR event logs.Therefore, we train the model from scratch using a tokenizer with a maximum abstraction level of 13, a dictionary size of 20,000 tokens, and a maximum token length of 300 charac-ters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.815, 0.713, 0.91, 0.722], [0.519, 0.731, 0.912, 0.737], [0.519, 0.744, 0.914, 0.752], [0.518, 0.759, 0.913, 0.768], [0.519, 0.776, 0.913, 0.782], [0.519, 0.79, 0.913, 0.797], [0.519, 0.805, 0.548, 0.813]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 39, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "We used the LAMB optimizer [8] for training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.536, 0.819, 0.849, 0.828]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 40, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "The final model consists of 43.6 million parameters and was trained on the same dataset used for tokenizers, employing a tok-enizer with a maximum abstraction level of 13,which has a vocabulary size of 20,000 tokens, and a maximum token length of 300 characters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.849, 0.819, 0.911, 0.828], [0.519, 0.837, 0.91, 0.843], [0.519, 0.852, 0.913, 0.858], [0.52, 0.867, 0.911, 0.873], [0.519, 0.882, 0.91, 0.888], [0.519, 0.894, 0.687, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 40, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "The context window size was set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.687, 0.894, 0.91, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 40, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.698, 0.061, 0.913, 0.07]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 163, "edu_l1_label": "EDU_O"}, {"txt": "to 512 tokens, with shorter traces padded using the [PAD]token.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.087, 0.096, 0.48, 0.105], [0.087, 0.11, 0.131, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "Training was conducted for 300 epochs in the Google Colab environment on an Nvidia Tesla A100 GPU.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.131, 0.11, 0.48, 0.119], [0.087, 0.125, 0.421, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "Algorithm 3 Algorithm for Anomaly Detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.087, 0.148, 0.405, 0.158]]}]}, "tags": ["title"], "label": "code_title", "web_segment_id": 3, "global_sentence_id": 166, "edu_l1_label": "EDU_O"}, {"txt": "1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.092, 0.169, 0.103, 0.174]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 4, "global_sentence_id": 167, "edu_l1_label": "EDU_O"}, {"txt": " function EVALUATETRACES(traces)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.103, 0.169, 0.27, 0.176]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 4, "global_sentence_id": 168, "edu_l1_label": "EDU_O"}, {"txt": "2:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.179, 0.25, 0.188]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 5, "global_sentence_id": 169, "edu_l1_label": "EDU_O"}, {"txt": " for each trace in traces do", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.179, 0.25, 0.188]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 5, "global_sentence_id": 170, "edu_l1_label": "EDU_O"}, {"txt": "3:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.188, 0.395, 0.196]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 6, "global_sentence_id": 171, "edu_l1_label": "EDU_O"}, {"txt": " tokens←ProcessTracesToSequences(trace,13)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.188, 0.395, 0.196]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 6, "global_sentence_id": 172, "edu_l1_label": "EDU_O"}, {"txt": "4:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.198, 0.374, 0.206]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 7, "global_sentence_id": 173, "edu_l1_label": "EDU_O"}, {"txt": " (probs,loss)←EvaluateByTokens(tokens)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.198, 0.374, 0.206]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 7, "global_sentence_id": 174, "edu_l1_label": "EDU_O"}, {"txt": "5:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.209, 0.342, 0.217]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 8, "global_sentence_id": 175, "edu_l1_label": "EDU_O"}, {"txt": " brier←EvaluateTraceBrier(tokens)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.209, 0.342, 0.217]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 8, "global_sentence_id": 176, "edu_l1_label": "EDU_O"}, {"txt": "6:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.218, 0.45, 0.227]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 9, "global_sentence_id": 177, "edu_l1_label": "EDU_O"}, {"txt": " count_abnormal←CountNonEmpty([probs,loss,brier])", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.218, 0.45, 0.227]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 9, "global_sentence_id": 178, "edu_l1_label": "EDU_O"}, {"txt": "7:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.228, 0.289, 0.237]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 10, "global_sentence_id": 179, "edu_l1_label": "EDU_O"}, {"txt": " if count_abnormal≥2 then", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.228, 0.289, 0.237]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 10, "global_sentence_id": 180, "edu_l1_label": "EDU_O"}, {"txt": "8:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.239, 0.336, 0.246]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 11, "global_sentence_id": 181, "edu_l1_label": "EDU_O"}, {"txt": " Print \"Trace \" + trace +\"is abnormal.\"", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.239, 0.336, 0.246]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 11, "global_sentence_id": 182, "edu_l1_label": "EDU_O"}, {"txt": "9:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.249, 0.163, 0.256]]}]}, "tags": ["text"], "label": "code", "web_segment_id": 12, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": " else", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.091, 0.249, 0.163, 0.256]]}]}, 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# NLP-Based.NET CLR Event Logs Analyzer ## Abstract ## 1 Introduction ## 2 Related Work ## 3 Algorithms ### 3.1 Event Log Encoding ### 3.2 Neural Network Configuration ## 4 Method ### 4.1 Patterns Detection ### 4.2 Anomalies Detection ## 5 Conclusion
080ae512-2437-4664-9351-5018885786c0
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test/raw_pdf_files/080ae512-2437-4664-9351-5018885786c0.pdf
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{"entry_id": "080ae512-2437-4664-9351-5018885786c0", "infos": [{"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.081, 0.046, 0.313, 0.061]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.736, 0.013, 0.913, 0.064]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "中观景气度高频跟踪及运用", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.083, 0.083, 0.532, 0.113]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 5, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "中观景气度数据库和定量模型应用", "language": "chinese", "position": 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{"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "上海地铁客运量为651.6 万人次，周环比下降27.49%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "FF 纺织服饰：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "中国轻纺城成交量为675.0 万米，周环比上升81.94%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "老凤祥黄金价格为878.0 元/克，周环比下降1.13%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "16 农林牧渔：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "白鲢鱼批发价为10.05 元/公斤，周环比上升6.12%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "肉鸡苗价格为1.96 元/羽，周环比下降21.91%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "8 基础化工：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "江浙织机开工率为52.98%，较上周增加36.84 个百分点；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.082, 0.336, 0.636, 0.543]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": 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"label": "content", "web_segment_id": 10, "global_sentence_id": 629, "edu_l1_label": "EDU_O"}, {"txt": "天风证券的销售人员、交易人员以及其他专业人士可能会依据不同假设和标准、采用不同的分析方法而口头或书面发表与本报告意见及建议不一致的市场评论和/或交易观点。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.081, 0.396, 0.918, 0.408], [0.081, 0.414, 0.405, 0.426]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 630, "edu_l1_label": "EDU_O"}, {"txt": "天风证券没有将此意见及建议向报告所有接收者进行更新的义务。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.405, 0.414, 0.843, 0.426]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 631, "edu_l1_label": "EDU_O"}, {"txt": "天风证券的资产管理部门、自营部门以及其他投资业务部门可能独立做出与本报告中的意见或建议不一致的投资决策。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.843, 0.414, 0.918, 0.426], [0.081, 0.432, 0.791, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 632, "edu_l1_label": "EDU_O"}, {"txt": "特别声明", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.081, 0.467, 0.145, 0.479]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 7, "global_sentence_id": 633, "edu_l1_label": "EDU_O"}, {"txt": "在法律许可的情况下，天风证券可能会持有本报告中提及公司所发行的证券并进行交易，也可能为这些公司提供或争取提供投资银行、财务顾问和金融产品等各种金融服务。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.081, 0.485, 0.918, 0.497], [0.081, 0.503, 0.398, 0.515]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 634, "edu_l1_label": "IOS"}, {"txt": "因此，投资者应当考虑到天风证券及/或其相关人员可能存在影响本报告观点客观性的潜在利益冲突，投资者请勿将本报告视为投资或其他决定的唯一参考依据", "language": "chinese", "position": {"pdf_position": 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# 中观景气度高频跟踪及运用中观景气度数据库和定量模型应用 ## 1. 模型预测结果 ## 2. 中观景气度周频跟踪 ### 2.1. 上游板块中观景气度跟踪 ### 2.2. 中游板块中观景气度跟踪 ### 2.3. 下游板块中观景气度跟踪 ### 2.4. 金融房建板块中观景气度跟踪 ### 2.5. 支持服务板块中观景气度跟踪 ## 3. 风险提示
b1ce43a0-8513-4bce-908b-825c5d855ac0
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test/raw_pdf_files/b1ce43a0-8513-4bce-908b-825c5d855ac0.pdf
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{"entry_id": "b1ce43a0-8513-4bce-908b-825c5d855ac0", "infos": [{"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.736, 0.013, 0.911, 0.064]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.081, 0.046, 0.273, 0.061]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "稳健医疗（300888）", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.09, 0.083, 0.436, 0.113]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 9, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "全棉时代加速成长", "language": "chinese", "position": {"pdf_position": 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"global_sentence_id": 85, "edu_l1_label": "BOS"}, {"txt": "除非另有规定，本报告中的所有材料版权均属天风证券股份有限公司（已获中国证监会许可的证券投资咨询业务资格）及其附属机构（以下统称“天风证券”）。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.081, 0.179, 0.912, 0.192], [0.081, 0.197, 0.307, 0.209]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "未经天风证券事先书面授权，不得以任何方式修改、发送或者复制本报告及其所包含的材料、内容。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.307, 0.197, 0.927, 0.209], [0.081, 0.215, 0.126, 0.227]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "所有本报告中使用的商标、服务标识及标记均为天风证券的商标、服务标识及标记。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.126, 0.215, 0.685, 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.715, 0.304, 0.912, 0.316], [0.081, 0.322, 0.495, 0.334]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "本报告所载的意见、评估及预测仅为本报告出具日的观点和判断。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.081, 0.34, 0.519, 0.352]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "该等意见、评估及预测无需通知即可随时更改。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.519, 0.34, 0.836, 0.352]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "过往的表现亦不应作为日后表现的预示和担保。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.836, 0.34, 0.913, 0.352], [0.081, 0.358, 0.322, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "在不同时期，天风证券可能会发出与本报告所载意见、评估及预测不一致的研究报告。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.322, 0.358, 0.897, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "天风证券的销售人员、交易人员以及其他专业人士可能会依据不同假设和标准、采用不同的分析方法而口头或书面发表与本报告意见及建议不一致的市场评论和/或交易观点。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.081, 0.375, 0.912, 0.388], [0.081, 0.393, 0.405, 0.405]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "天风证券没有将此意见及建议向报告所有接收者进行更新的义务。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.405, 0.393, 0.843, 0.405]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "天风证券的资产管理部门、自营部门以及其他投资业务部门可能独立做出与本报告中的意见或建议不一致的投资决策。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.843, 0.393, 0.918, 0.405], [0.081, 0.411, 0.791, 0.423]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "特别声明", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.081, 0.447, 0.145, 0.459]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 102, "edu_l1_label": "BOS"}, {"txt": "在法律许可的情况下，天风证券可能会持有本报告中提及公司所发行的证券并进行交易，也可能为这些公司提供或争取提供投资银行、财务顾问和金融产品等各种金融服务。", 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# 稳健医疗（300888）全棉时代加速成长 ## 公司发布三季报 ## 全棉时代品牌与核心爆品认可度持续提升 ## 全球化战略迈上新台阶 ## 调整盈利预测，维持“增持”评级 ## 风险提示：
a322140c-77b8-4f12-a9a3-1e4b8fa3bc12
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test/raw_pdf_files/a322140c-77b8-4f12-a9a3-1e4b8fa3bc12.pdf
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"IOS"}, {"txt": "一线城市周环比＋214%，周同比＋535%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.307, 0.472, 0.607, 0.481]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "二线城市周环比＋216%，周同比＋555%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.607, 0.472, 0.908, 0.481]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "三四线城市周环比＋85%，周同比＋433％。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.908, 0.472, 0.948, 0.48], [0.053, 0.49, 0.316, 0.5]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "本周二手房成交稳健向上，春节错位效应同环比上升。", "language": 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"global_sentence_id": 915, "edu_l1_label": "EDU_O"}, {"txt": "预期未来3-6个月内该行业变动幅度相对大盘在-5%-5%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.094, 0.148, 0.563, 0.158]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 916, "edu_l1_label": "EDU_O"}, {"txt": "减持：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.053, 0.166, 0.095, 0.176]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 917, "edu_l1_label": "EDU_O"}, {"txt": "预期未来3-6个月内该行业下跌幅度超过大盘在5％以上。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.095, 0.166, 0.554, 0.176]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 918, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.965, 0.98, 0.985, 0.989]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 8, "global_sentence_id": 919, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.052, 0.027, 0.193, 0.052]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 920, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.877, 0.053, 0.952, 0.065]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 2, "global_sentence_id": 921, "edu_l1_label": "EDU_O"}, {"txt": "特别声明：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.052, 0.09, 0.134, 0.101]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 3, "global_sentence_id": 922, "edu_l1_label": "EDU_O"}, {"txt": "国金证券股份有限公司经中国证券监督管理委员会批准，已具备证券投资咨询业务资格。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.078, 0.109, 0.563, 0.117]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 923, "edu_l1_label": "EDU_O"}, {"txt": "何形式的复制、转发、转载、引用、修改、仿制、刊发，或以任何侵犯本公司版权的其他方式使用。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.053, 0.147, 0.602, 0.154]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 924, "edu_l1_label": "EDU_O"}, {"txt": "经过书面授权的引用、刊发，需注明出处为“国金证券股份有限公司”，且不得对本报告进行任何有悖原意的删节和修改。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.602, 0.147, 0.945, 0.154], [0.053, 0.166, 0.385, 0.173]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 925, "edu_l1_label": "EDU_O"}, {"txt": "本报告的产生基于国金证券及其研究人员认为可信的公开资料或实地调研资料，但国金证券及其研究人员对这些信息的准确性和完整性不作任何保证。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.079, 0.185, 0.903, 0.192]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 926, "edu_l1_label": "EDU_O"}, {"txt": "本报告反映撰写研究人员的不同设想、见解及分析方法，故本报告所载观点可能与其他类似研究报告的观点及市场实际情况不一致，国金证券不对使用本报告所包含的材料产生的任何直接或间接损失或与此有关的其他任何损失承担任何责任。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.903, 0.185, 0.945, 0.192], [0.053, 0.202, 0.945, 0.209], [0.053, 0.22, 0.449, 0.228]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 927, "edu_l1_label": "EDU_O"}, {"txt": "且本报告中的资料、意见、预测均反映报告初次公开发布时的判断，在不作事先通知的情况下，可能会随时调整，亦可因使用不同假设和标准、采用不同观点和分析方法而与国金证券其它业务部门、单位或附属机构在制作类似的其他材料时所给出的意见不同或者相反。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.449, 0.22, 0.945, 0.228], [0.052, 0.24, 0.945, 0.247], [0.055, 0.258, 0.147, 0.265]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 928, "edu_l1_label": "EDU_O"}, {"txt": "本报告仅为参考之用，在任何地区均不应被视为买卖任何证券、金融工具的要约或要约邀请。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.079, 0.277, 0.588, 0.284]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 929, "edu_l1_label": "EDU_O"}, {"txt": "本报告提及的任何证券或金融工具均可能含有重大的风险，可能不易变卖以及不适合所有投资者。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.588, 0.277, 0.945, 0.284], [0.053, 0.295, 0.238, 0.303]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 930, "edu_l1_label": "EDU_O"}, {"txt": "本报告所提及的证券或金融工具的价格、价值及收益可能会受汇率影响而波动。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.238, 0.295, 0.674, 0.302]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 931, "edu_l1_label": "EDU_O"}, {"txt": "过往的业绩并不能代表未来的表现。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.674, 0.295, 0.877, 0.303]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 932, "edu_l1_label": "EDU_O"}, {"txt": "客户应当考虑到国金证券存在可能影响本报告客观性的利益冲突，而不应视本报告为作出投资决策的唯一因素。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.078, 0.314, 0.687, 0.32]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 933, "edu_l1_label": "EDU_O"}, {"txt": "证券研究报告是用于服务具备专业知识的投资者和投资顾问的专业产品，使用时必须经专业人士进行解读。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.687, 0.314, 0.945, 0.321], [0.053, 0.332, 0.387, 0.339]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 934, "edu_l1_label": "EDU_O"}, {"txt": "国金证券建议获取报告人员应考虑本报告的任何意见或建议是否符合其特定状况，以及（若有必要）咨询独立投资顾问。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.387, 0.332, 0.94, 0.339], [0.053, 0.351, 0.16, 0.358]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 935, "edu_l1_label": "EDU_O"}, {"txt": "报告本身、报告中的信息或所表达意见也不构成投资、法律、会计或税务的最终操作建议，国金证券不就报告中的内容对最终操作建议做出任何担保，在任何时候均不构成对任何人的个人推荐。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.16, 0.351, 0.945, 0.358], [0.053, 0.37, 0.336, 0.377]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 936, "edu_l1_label": "EDU_O"}, {"txt": "在法律允许的情况下，国金证券的关联机构可能会持有报告中涉及的公司所发行的证券并进行交易，并可能为这些公司正在提供或争取提供多种金融服务。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.079, 0.388, 0.927, 0.395]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 9, "global_sentence_id": 937, "edu_l1_label": "EDU_O"}, {"txt": "本报告并非意图发送、发布给在当地法律或监管规则下不允许向其发送、发布该研究报告的人员。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.079, 0.407, 0.614, 0.414]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 938, "edu_l1_label": "EDU_O"}, {"txt": "国金证券并不因收件人收到本报告而视其为国金证券的客户。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.614, 0.407, 0.932, 0.414], [0.053, 0.424, 0.072, 0.433]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 939, "edu_l1_label": "EDU_O"}, {"txt": "本报告对于收件人而言属高度机密，只有符合条件的收件人才能使用。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.072, 0.424, 0.463, 0.432]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 940, "edu_l1_label": "EDU_O"}, {"txt": "根据《证券期货投资者适当性管理办法》，本报告仅供国金证券股份有限公司客户中风险评级高于C3级（含C3级）的投资者使用；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.463, 0.424, 0.945, 0.432], [0.053, 0.444, 0.296, 0.451]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 941, "edu_l1_label": "EDU_O"}, {"txt": "本报告所包含的观点及建议并未考虑个别客户的特殊状况、目标或需要，不应被视为对特定客户关于特定证券或金融工具的建议或策略。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.296, 0.444, 0.941, 0.45], [0.053, 0.463, 0.158, 0.469]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 942, "edu_l1_label": "EDU_O"}, {"txt": "对于本报告中提及的任何证券或金融工具，本报告的收件人须保持自身的独立判断。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.158, 0.463, 0.624, 0.469]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 943, "edu_l1_label": "EDU_O"}, {"txt": "使用国金证券研究报告进行投资，遭受任何损失，国金证券不承担相关法律责任。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.624, 0.463, 0.945, 0.469], [0.053, 0.48, 0.185, 0.488]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 944, "edu_l1_label": "EDU_O"}, {"txt": "若国全证券以外的任何机构或个人发送本报告，则由该机构或个人为此发送行为承担全部责任。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.079, 0.499, 0.604, 0.506]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 945, "edu_l1_label": "EDU_O"}, {"txt": "本报告不构成国金证券向发送本报告机构或个人的收件人提供投责建议，国金证券不为此承担任何责任。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.604, 0.499, 0.945, 0.506], [0.052, 0.518, 0.285, 0.526]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 946, "edu_l1_label": "EDU_O"}, {"txt": "此报告仅限于中国境内使用。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.078, 0.536, 0.239, 0.543]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 12, "global_sentence_id": 947, "edu_l1_label": "EDU_O"}, {"txt": "国金证券版权所有，保留一切权利。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.239, 0.536, 0.437, 0.544]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 12, "global_sentence_id": 948, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.043, 0.572, 0.959, 0.684]]}]}, "tags": ["table"], "label": "O", "web_segment_id": 13, "global_sentence_id": 949, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.403, 0.979, 0.985, 0.989]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 14, "global_sentence_id": 950, "edu_l1_label": "EDU_O"}], "type": "PDF"}
# 广东积极落地专项债收储土地，个人住房贷款同比多增 ## 广东积极落地专项债收储土地 ## 个人住房贷款同比多增 ## 行情回顾 ### 地产行情回顾 ### 物业行情回顾 ## 数据跟踪 ### 宅地成交 ### 新房成交 ### 二手房成交 ### 重点城市库存与去化周期 ## 地产行业政策和新闻 ## 地产公司动态 ## 物管行业政策和新闻 ## 非开发公司动态 ## 行业估值 ## 风险提示
5a8ca540-cbe7-4fda-857b-333934801631
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test/raw_pdf_files/5a8ca540-cbe7-4fda-857b-333934801631.pdf
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{"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.453, 0.343, 0.547, 0.362]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 5, "global_sentence_id": 13, "edu_l1_label": "BOS"}, {"txt": "Federated learning (FL) is a popular paradigm for collaborative training which avoids direct data exposure between clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.176, 0.367, 0.824, 0.382], [0.176, 0.381, 0.35, 0.396]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "However, data privacy issues still remain: FL-trained large language models are capable of memorizing and completing phrases and sentences contained in training data when given with their prefxes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.35, 0.381, 0.824, 0.396], [0.176, 0.394, 0.824, 0.409], [0.176, 0.408, 0.383, 0.423]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "Thus, it is possible for adversarial and honest-but-curious clients to recover training data of other participants simply through targeted prompting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.383, 0.408, 0.824, 0.423], [0.176, 0.422, 0.71, 0.437]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "In this work, we demonstrate that a popular and simple fne-tuning strategy, low-rank adaptation (LoRA), reduces memorization during FL up to a factor of 10.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.71, 0.422, 0.824, 0.437], [0.176, 0.436, 0.824, 0.451], [0.176, 0.449, 0.466, 0.465]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "We study this effect by performing a medical questionanswering fne-tuning task and injecting multiple replicas of out-of-distribution sensitive sequences drawn from an external clinical dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.466, 0.449, 0.826, 0.465], [0.176, 0.463, 0.824, 0.478], [0.176, 0.477, 0.428, 0.492]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "We observe a reduction in memorization for a wide variety of Llama 2 and 3 models, and fnd that LoRA can reduce memorization in centralized learning as well.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.428, 0.477, 0.824, 0.492], [0.176, 0.491, 0.827, 0.506]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "Furthermore, we show that LoRA can be combined with other privacy-preserving techniques such as gradient clipping and Gaussian noising, secure aggregation, and Goldfsh loss to further improve record-level privacy while maintaining performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.176, 0.505, 0.824, 0.52], [0.176, 0.518, 0.824, 0.533], [0.176, 0.532, 0.519, 0.547]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "1Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.118, 0.566, 0.253, 0.585]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 21, "edu_l1_label": "BOS"}, {"txt": "Large language models (LLMs) have been shown to achieve state-of-the-art performance over most relevant natural language processing (NLP) tasks [Zhao et al., 2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.118, 0.598, 0.882, 0.613], [0.118, 0.612, 0.457, 0.627]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "There is an emerging and signifcant interest in fne-tuning LLMs to conduct tasks over specialized domains such as medicine [Thirunavukarasu et al., 2023, Yang et al., 2022] and fnance [Wu et al., 2023a, Li et al., 2023a].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.457, 0.612, 0.882, 0.627], [0.118, 0.626, 0.882, 0.641], [0.118, 0.639, 0.397, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "These felds handle inherently sensitive user data, necessitating additional mechanisms to prevent data exposure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.397, 0.639, 0.882, 0.655], [0.118, 0.653, 0.367, 0.668]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "A well-studied paradigm for collaboratively training a machine learning (ML) model over a cluster of clients without sharing local data is federated learning (FL) [McMahan et al., 2016, Kairouz et al., 2021].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.367, 0.653, 0.883, 0.668], [0.118, 0.667, 0.882, 0.682], [0.118, 0.681, 0.199, 0.696]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "Although FL respects data sovereignty by allowing training samples to remain decentralized, most FL works do not address the memorization problem:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.117, 0.702, 0.882, 0.717], [0.118, 0.715, 0.346, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": " an FL-trained LLM may still memorize client training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.346, 0.715, 0.736, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "Indeed, memorization is observable in most, if not all, LLMs [Carlini et al., 2019, 2022, 2021], with some work arguing that memorization is required to learn natural speech patterns [Dourish, 2004, Feldman, 2020].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.736, 0.715, 0.882, 0.73], [0.118, 0.729, 0.882, 0.744], [0.118, 0.743, 0.597, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "While there is a wealth of research focused on preventing data reconstruction [Huang et al., 2021] and improving differential privacy [El Ouadrhiri and Abdelhadi, 2022] within the FL literature, very few have explored the propensity and prevention of FL-trained LLMs to leak training data [Thakkar et al., 2020].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.597, 0.743, 0.882, 0.758], [0.118, 0.757, 0.884, 0.772], [0.118, 0.77, 0.883, 0.786], [0.118, 0.784, 0.349, 0.799]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "In this work, we demonstrate an intuitive and effcient strategy for reducing memorization during LLM fne-tuning:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.114, 0.804, 0.888, 0.848]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": " low-rank adaptation (LoRA) [Hu et al., 2021].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.114, 0.804, 0.888, 0.848]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "In fact, we observe that LoRA fne-tuning mitigates regurgitation of synthetically-injected sensitive data in both the federated and centralized settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.114, 0.804, 0.888, 0.848]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "This includes exact token matching", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.114, 0.804, 0.888, 0.848]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "∗Equal contribution†Tune Insight SA, Switzerland‡EPFL, Switzerland§Yale University, USA", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.137, 0.857, 0.253, 0.871], [0.138, 0.871, 0.318, 0.885], [0.138, 0.885, 0.256, 0.898], [0.138, 0.898, 0.271, 0.912]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.268, 0.045, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 35, "edu_l1_label": "EDU_O"}, {"txt": "[Carlini et al., 2022] and approximate reproduction [Ippolito et al., 2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.118, 0.092, 0.597, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "As LoRA combines the benefts of reduced computational [Hu et al., 2021], memory [Dettmers et al., 2024], and communication overhead [Liu et al., 2024], its added beneft of preventing memorization makes it an ideal strategy for FL fne-tuning of LLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.597, 0.092, 0.882, 0.107], [0.118, 0.106, 0.882, 0.121], [0.118, 0.119, 0.747, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "Our contributions are as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.118, 0.14, 0.331, 0.155]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "• We discover and demonstrate that LoRA mitigates memorization in federated and centralized learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.162, 0.166, 0.848, 0.181]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "Thisincludes exact match rate (repeating training data exactly) and paraphrasing (partial overlap).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.848, 0.166, 0.882, 0.181], [0.176, 0.18, 0.791, 0.195]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "Compared to full fne-tuning, LoRA can signifcantly reduce memorization even when sensitive data is replicated and the LLM is prompted with long prefxes of a sequence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.791, 0.18, 0.882, 0.195], [0.176, 0.194, 0.882, 0.209], [0.176, 0.208, 0.51, 0.223]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "• We comprehensively test models of varying size from the Llama-2 family, Llama-3 family, and Mistral-v0.3 on medical question-answering tasks to simulate a data-sensitive scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.162, 0.227, 0.885, 0.242], [0.176, 0.241, 0.705, 0.256]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "LoRA effectively reduces memorization while preserving high performance accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.705, 0.241, 0.882, 0.256], [0.176, 0.255, 0.564, 0.27]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "• We experimentally explore how LoRA interacts with other privacy strategies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.162, 0.274, 0.667, 0.289]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "This includes differential privacymechanisms such as gradient noising and clipping, Goldfsh loss [Hans et al., 2024], and post-training noise injection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.667, 0.274, 0.883, 0.289], [0.176, 0.288, 0.882, 0.303], [0.176, 0.302, 0.237, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "We fnd that LoRA works synergistically with these other approaches.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.237, 0.302, 0.698, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "• To facilitate reproducibility and further research, we publicly release our code and instructions at https://github.com/tuneinsight/federated-llms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.162, 0.321, 0.887, 0.337], [0.175, 0.336, 0.514, 0.35]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "2Related Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.118, 0.369, 0.263, 0.388]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 48, "edu_l1_label": "BOS"}, {"txt": "2.1Privacy in LLMs", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.118, 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measure the privacy-preservingcapacity of an algorithm by analyzing whether the probability of observing an output changes by ϵ when the underlyingdatabase excludes or includes a user record [Dwork et al., 2006].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.259, 0.461, 0.882, 0.477], [0.118, 0.475, 0.882, 0.49], [0.118, 0.489, 0.555, 0.504]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "The application of this framework to generative language tasks, in general, has proven complicated due to the rigid defnition of a user record [Jayaraman and Evans, 2019].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.555, 0.489, 0.882, 0.504], [0.118, 0.503, 0.884, 0.518], [0.118, 0.516, 0.161, 0.532]]}]}, "tags": ["text"], "label": "content", 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{"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.118, 0.619, 0.297, 0.635]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "Following previous work [Ippolito et al., 2023, Huang et al., 2024, Hans et al., 2024], we adopt the \"extractable memorization\" defnition of Carlini et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.297, 0.619, 0.884, 0.634], [0.117, 0.633, 0.575, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "[2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.575, 0.633, 0.629, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "Consider a string representable as a concatenation [p||s] where p is a prefx of length k and s is the remainder of the string.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.629, 0.633, 0.882, 0.648], [0.118, 0.647, 0.694, 0.662]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "We defne the string s to be memorized with k tokens of context by a language model f if [p||s] is contained in the training data of f, and f produces s when prompted with p using greedy decoding.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.694, 0.647, 0.882, 0.662], [0.118, 0.66, 0.882, 0.676], [0.118, 0.676, 0.431, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "In other words, we consider a string from training data memorized if an LLM can generate it when prompted by a prefx.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.431, 0.676, 0.882, 0.689], [0.118, 0.688, 0.454, 0.703]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "4Empirical Evaluation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.118, 0.729, 0.326, 0.749]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 113, "edu_l1_label": "BOS"}, {"txt": "In this section, we study how LoRA affects memorization of out-of-distribution sequences injected into fne-tuning training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.118, 0.767, 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then consider an FL setting in Section 4.4, where training data is split among several clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.117, 0.829, 0.745, 0.844]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "Our FL experiments are designed to mimic a medical setting where training data contains sensitive information at an unknown rate, which is a common scenario as few if not any data anonymization tools can guarantee a complete removal of sensitive data [Langarizadeh et al., 2018].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.745, 0.829, 0.882, 0.844], [0.118, 0.842, 0.882, 0.858], [0.118, 0.856, 0.882, 0.871], [0.118, 0.87, 0.298, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "In fact, Heider et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.298, 0.87, 0.433, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "[2020] measured the accuracy of three off-the-shelf de-identifcation tools on the i2b2 medical record dataset [Stubbs and Özlem Uzuner, 2015], which our experiments also use, and foundthat no system could perform a full removal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.433, 0.87, 0.882, 0.885], [0.118, 0.884, 0.882, 0.899], [0.118, 0.897, 0.407, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": 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{"txt": "The dataset contains 1k expert-annotated (PQA-L) and 211k artifcially generated QA instances (PQA-A).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.804, 0.327, 0.882, 0.342], [0.176, 0.34, 0.778, 0.356]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "We include 500 questions from the train and validation sets of PQA-L and 50k questions of PQA-A.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.778, 0.34, 0.882, 0.356], [0.176, 0.354, 0.723, 0.369]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.156, 0.373, 0.168, 0.388]]}]}, 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4700000, "bbox": [[0.345, 0.479, 0.812, 0.494]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "Following Chen et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.812, 0.479, 0.882, 0.494], [0.176, 0.493, 0.246, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "[2023], we report each case separately, respectively MedQA-4 and MedQA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.246, 0.493, 0.745, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": 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"label": "content", "web_segment_id": 11, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "No artifcially-generated questions are usedduring evaluation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.589, 0.53, 0.882, 0.546], [0.176, 0.544, 0.294, 0.559]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.156, 0.563, 0.168, 0.578]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "MedMCQA’s test set does not provide answer labels, therefore we rely on the validation set, containing 4183instances, to benchmark downstream performance following Wu et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.168, 0.563, 0.882, 0.578], [0.176, 0.577, 0.632, 0.592]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "[2023b] and Chen et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.632, 0.577, 0.789, 0.592]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "[2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.789, 0.577, 0.841, 0.592]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.156, 0.595, 0.168, 0.611]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "MMLU-Medical.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.168, 0.595, 0.286, 0.611]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "MMLU [Hendrycks et al., 2021] is a collection of 4-option multiple-choice exam questions covering 57 subjects.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.286, 0.595, 0.882, 0.611], [0.176, 0.609, 0.317, 0.624]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "We follow Chen et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.317, 0.609, 0.469, 0.624]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "[2023] and select a subset of 9 subjects that are most relevant to medical and clinical knowledge: high school biology, college biology, college medicine, professional medicine, medical genetics, virology, clinical knowledge, nutrition, and anatomy, and group them into one medical-related benchmark: MMLU-Medical.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.469, 0.609, 0.882, 0.624], [0.176, 0.623, 0.882, 0.638], [0.176, 0.637, 0.882, 0.652], [0.176, 0.651, 0.477, 0.666]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "We use 3-shot in-context learning without any chain-of-thought reasoning and average the accuracy over 3 seeds.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.117, 0.676, 0.853, 0.691]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "Models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.118, 0.696, 0.172, 0.713]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "To account for the effect of model size on memorization [Carlini et al., 2023, Tirumala et al., 2022], we study pre-trained models ranging from 1B to 8B parameters: Llama 3.2 1B, Llama 3.2 3B, Llama 3 8B [Dubey et al., 2024], Llama 2 7B [Touvron et al., 2023], and Mistral 7B v0.3 [Jiang et al., 2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.172, 0.696, 0.883, 0.712], [0.118, 0.711, 0.884, 0.726], [0.118, 0.724, 0.609, 0.739]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "4.2Quantifying memorization", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.118, 0.755, 0.339, 0.771]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 14, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "How we measure memorization is largely inspired by Carlini et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.118, 0.78, 0.564, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "[2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.564, 0.78, 0.618, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "In short, we inject sensitive sequences, so-called “canaries\" [Carlini et al., 2019, Jagielski et al., 2023, Thakkar et al., 2020], into fne-tuning data and thenmeasure the models’ ability to regurgitate this information when prompted with the beginning of these sequences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.618, 0.78, 0.884, 0.796], [0.118, 0.794, 0.882, 0.809], [0.118, 0.808, 0.864, 0.823]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "InAppendix C.2, we give an example of memorization scores for Llama 2 7B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.864, 0.808, 0.882, 0.823], [0.117, 0.822, 0.61, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "Canaries.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.118, 0.842, 0.184, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "Unlike prior works that evaluate memorization of all training data [Carlini et al., 2023, Ippolito et al., 2023, Hans et al., 2024], we are interested in measuring how much sensitive information is memorized.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.184, 0.842, 0.884, 0.858], [0.118, 0.856, 0.754, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "Similar to Lehman et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.754, 0.856, 0.882, 0.871], [0.118, 0.87, 0.149, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "[2021] and Mireshghallah et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.149, 0.87, 0.358, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "[2022], we inject medical records into our training set originating from the 2014 i2b2/UTHealth corpus dataset [Stubbs and Özlem Uzuner, 2015].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.358, 0.87, 0.882, 0.885], [0.118, 0.884, 0.54, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "The i2b2 dataset contains 1304 longitudinal medicalrecords that describe 296 patients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.54, 0.884, 0.882, 0.899], [0.118, 0.897, 0.34, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.494, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 178, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.27, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 179, "edu_l1_label": "EDU_O"}, {"txt": "Since data duplication has been shown to greatly infuence memorization [Carlini et al., 2023, Lee et al., 2022, Kandpal et al., 2022], we randomly select 30% of the medical records and duplicate them 10 times within our fne-tuning data in order to study data duplication in our experiments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.118, 0.092, 0.882, 0.107], [0.118, 0.106, 0.882, 0.121], [0.118, 0.119, 0.447, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "Prompting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.118, 0.14, 0.195, 0.156]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "To measure unintended memorization after fne-tuning, we randomly select test sequences from the medical records (one sequence per record) and split each sequence into a prefx p and a suffx s. Conditioned on the prefx, the model generates text via greedy decoding and the generated suffx is compared with the ground truth.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.195, 0.14, 0.882, 0.155], [0.118, 0.154, 0.882, 0.169], [0.118, 0.168, 0.767, 0.183]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "We set the length of the generated suffx s to 50 tokens, in line with Carlini et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.767, 0.168, 0.882, 0.183], [0.118, 0.181, 0.526, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "[2023], Ippolito et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.526, 0.181, 0.669, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "[2023] and Hans et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.669, 0.181, 0.817, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "[2024].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.817, 0.181, 0.868, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "Following Carlini et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.118, 0.202, 0.266, 0.217]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "[2023], we measure the effect of the context size by prompting the model on each test sequence several times with prompts of lengths in {10, 50, 100, 200, 500}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.266, 0.202, 0.882, 0.217], [0.118, 0.216, 0.551, 0.231]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "The different prompts for one test sequence are constructed such that the suffx s is kept identical while varying the prompt length.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.551, 0.216, 0.882, 0.231], [0.118, 0.23, 0.671, 0.245]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "This ensures a fair comparison between prompt lengths, since different suffxes may be more or less diffcult to regurgitate.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.671, 0.23, 0.882, 0.245], [0.118, 0.243, 0.715, 0.259]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "Memorization scores.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.118, 0.264, 0.267, 0.28]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "To compare generated text with the ground truth, we rely on two metrics: (1) the exact token match rate and (2) the BLEU score to measure approximate reproduction, as prior works suggest that the exact match rate does not capture subtler forms of memorization [Ippolito et al., 2023].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.267, 0.264, 0.882, 0.28], [0.118, 0.277, 0.882, 0.293], [0.118, 0.292, 0.624, 0.307]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "In line with this work, we consider a sequence memorized if the generated suffx and the ground truth yields a BLEU score > 0.75.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.624, 0.292, 0.882, 0.307], [0.118, 0.305, 0.727, 0.321]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "For both metrics, lower is better and a score of 1 denotes the complete memorization of all test sequences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.727, 0.305, 0.883, 0.321], [0.118, 0.319, 0.663, 0.334]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "In Appendix C.2, we provide an example for Llama 2 7B fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.663, 0.319, 0.882, 0.334], [0.118, 0.333, 0.356, 0.348]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "4.3Centralized Learning", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.118, 0.371, 0.304, 0.388]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "To the best of our knowledge, the impact of LoRA on memorization has not been previously quantifed;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.117, 0.4, 0.792, 0.415]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": " therefore, we begin by studying LoRA in the context of centralized learning (CL) before considering federated learning (FL).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.792, 0.4, 0.882, 0.415], [0.118, 0.414, 0.843, 0.429]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "Training details.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.117, 0.434, 0.235, 0.45]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "In the centralized learning setting, we merge PubMedQA, MedMCQA and Medical Meadow Flashcards into one fne-tuning dataset in which we inject the i2b2 medical records to benchmark memorization after fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.235, 0.434, 0.882, 0.45], [0.117, 0.448, 0.883, 0.463], [0.118, 0.462, 0.195, 0.477]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "We use a validation split of 10% and for each model we search for the learning rate yielding the lowest validation loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.195, 0.462, 0.882, 0.477], [0.117, 0.476, 0.215, 0.491]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "More details on hyperparameters can be found in Appendix B.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.215, 0.476, 0.639, 0.491]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "Accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.117, 0.496, 0.186, 0.512]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "To study how LoRA mitigates unintended memorization, we must frst assess if it comes at a cost in model performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.186, 0.496, 0.882, 0.512], [0.118, 0.51, 0.204, 0.525]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "Figure 1 illustrates the average accuracy over fne-tuning strategies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.204, 0.51, 0.651, 0.525]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "Comparing full fne-tuning against LoRA, we fnd that LoRA comes with a relatively negligible cost in accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.651, 0.51, 0.882, 0.525], [0.118, 0.524, 0.633, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "Every fne-tuning yields a signifcant accuracy improvement of the pre-trained model except for Llama 3.1 8B, in which performance minimally improved.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.633, 0.524, 0.882, 0.539], [0.118, 0.538, 0.882, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "We hypothesize that part or all of our fne-tuning dataset has already been trained on during Llama 3.1 8B’s pre-trainingphase.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.117, 0.559, 0.882, 0.574], [0.118, 0.572, 0.159, 0.587]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "Accordingly, we exclude Llama 3.1 8B from subsequent experiments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.159, 0.572, 0.618, 0.587]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.311, 0.602, 0.695, 0.783]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 210, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: Downstream accuracy of centralized learning averaged across the 5 benchmarks. LoRA matches full fne-tuning accuracy on every model tested. We report the out-of-the-box accuracy of the pre-trained models as a control. A breakdown per benchmark is included in Appendix C.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.115, 0.793, 0.886, 0.838]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 211, "edu_l1_label": "EDU_O"}, {"txt": "Memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.118, 0.856, 0.222, 0.872]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "Given that LoRA matches full fne-tuning performance in our experiments, we now measure the unintended memorization occurring during fne-tuning, illustrated in Figure 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.222, 0.856, 0.882, 0.871], [0.118, 0.87, 0.614, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "To account for prompt length, we include a fgure (plots (c) and (f)) for each metric with the highest memorization score obtained across settings, which is systematically reached on duplicated documents with the longest prompt.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.614, 0.87, 0.882, 0.885], [0.118, 0.884, 0.882, 0.899], [0.118, 0.897, 0.596, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.494, 0.937, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.268, 0.045, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 216, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.3, 0.104, 0.703, 0.324]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 6, "global_sentence_id": 217, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: LoRA vs full fne-tuning memorization scores in centralized learning. LoRA consistently yields lower memorization scores (lower is better). Unless stated otherwise, scores are averaged across prompt lengths. Values are shown when bars are too small. Right-most fgures denote the worst-case setting where memorization scores are the highest. Plots (a)-(c) show memorization using exact match rate with no duplication, 10x document duplication, and 10x document duplication with a 500 tokens prompt length, while (d)-(f) use BLEU score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.115, 0.331, 0.884, 0.405]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 218, "edu_l1_label": "EDU_O"}, {"txt": "Analysis.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.117, 0.434, 0.18, 0.451]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "Across all model sizes, data duplication greatly increases memorization and longer prompt lengths increase the extraction success.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.18, 0.434, 0.882, 0.45], [0.118, 0.449, 0.263, 0.464]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "Figure 2 also illustrates that larger models memorize more [Carlini et al., 2023, Tirumala et al., 2022].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.263, 0.449, 0.884, 0.464], [0.118, 0.462, 0.16, 0.478]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Most importantly, we see that models fne-tuned in centralized learning with LoRA consistently exhibit lower memorization scores, suggesting the adequacy of using of LoRA as a memorization-mitigating technique with little to no performance cost.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.16, 0.462, 0.882, 0.477], [0.118, 0.476, 0.882, 0.491], [0.118, 0.49, 0.255, 0.505]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "Additionally, we compute the memorization scores of pre-trained models without fne-tuning, to obtain control values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.117, 0.511, 0.885, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "This is equivalent to computing the models’ ability to “guess\" the suffx without having seen previously the medicalrecords.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.117, 0.524, 0.882, 0.54], [0.118, 0.538, 0.169, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "We obtained scores an order of magnitude lower than any fne-tuned model score, which additionally confrms that none of the models had already been trained on the i2b2 dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.169, 0.538, 0.882, 0.553], [0.118, 0.552, 0.563, 0.567]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "Thus, while some scores in Figure 2 may appear low at frst glance, the lowest memorization depicted in this fgure is >10 times higher than the control.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.563, 0.552, 0.883, 0.567], [0.118, 0.566, 0.791, 0.581]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "4.3.1Utility-privacy tradeoff", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.118, 0.603, 0.328, 0.619]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 7, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "To further confrm that the privacy gains observed on models trained with LoRA do not come at the cost of utility, and that the privacy loss observed with full fne-tuning is not due to overftting or preventable by early stopping, we analyzed the utility-privacy tradeoff throughout the fne-tuning process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.117, 0.63, 0.884, 0.645], [0.118, 0.644, 0.882, 0.659], [0.118, 0.658, 0.575, 0.673]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "Figure 3 illustrates the evolution of privacy and utility for Llama 3.2 3B during both LoRA and full fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.575, 0.658, 0.882, 0.673], [0.118, 0.671, 0.533, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "The fgure shows that LoRA fne-tuning consistently follows a more privacy-preserving trend, with lower memorization scores compared to full fne-tuning at similar utility levels.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.533, 0.671, 0.883, 0.686], [0.118, 0.685, 0.883, 0.7], [0.118, 0.699, 0.16, 0.714]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "Furthermore, after a certain number of fne-tuning steps, the model’s tendency to memorize data increaseswithout signifcant improvements in utility, due to overftting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.16, 0.699, 0.882, 0.714], [0.117, 0.713, 0.516, 0.728]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "This highlights that early stopping during LLM training not only improves effciency, but also helps privacy by reducing the risk of memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.516, 0.713, 0.882, 0.728], [0.118, 0.726, 0.697, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "4.4Federated Learning", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.118, 0.765, 0.292, 0.782]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "Having empirically measured how LoRA reduces unintended memorization in centralized learning, we now turn to federated learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.118, 0.794, 0.882, 0.809], [0.118, 0.808, 0.24, 0.823]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "The federated learning framework contains multiple key differences with centralized learning that may impact memorization, such as Federated Averaging or non-IID data across participants [Thakkar et al., 2020].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.24, 0.808, 0.882, 0.823], [0.118, 0.822, 0.863, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "Training details.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.117, 0.842, 0.232, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "We defne a heterogeneous setting with one client per dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.232, 0.842, 0.641, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "In other words, we fne-tune models with 3 participants, where each participant trains locally on one of the 3 datasets MedMCQA, PubMedQA, and Medical Meadow fashcards.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.641, 0.842, 0.882, 0.858], [0.117, 0.856, 0.882, 0.871], [0.118, 0.87, 0.246, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "We split and inject i2b2 medical records into each dataset proportionally to their size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.246, 0.87, 0.801, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "Participants fne-tune over their local dataset for one epoch between each global weight update, for a total of 5 rounds.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.801, 0.87, 0.882, 0.885], [0.118, 0.884, 0.815, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "For every model, we fne-tune the learning rate on each local dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.815, 0.884, 0.883, 0.899], [0.118, 0.897, 0.501, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "More training details are included in Appendix B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.501, 0.897, 0.83, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.492, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 243, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.269, 0.045, 0.733, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 244, "edu_l1_label": "EDU_O"}, {"txt": "Llama 3.2, 3B, Base modelLlama 3.2, 3B, LoRALlama 3.2, 3B, Full FT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.325, 0.115, 0.678, 0.128]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 9, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.321, 0.122, 0.689, 0.26]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 246, "edu_l1_label": "EDU_O"}, {"txt": "Memorization score", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.475, 0.265, 0.583, 0.279]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 8, "global_sentence_id": 247, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: Accuracy vs. privacy across fne-tuning steps. We track accuracy and memorization (BLEU score) during Llama 3.2 3B fne-tuning (10× document duplication) using full fne-tuning (Full FT) and LoRA, compared to the basemodel. Numbers above data points indicate completed fne-tuning steps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.115, 0.296, 0.887, 0.341]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 248, "edu_l1_label": "EDU_O"}, {"txt": "To provide fair comparisons between multiple federated learning fne-tuning, Figures 4 and 6 report metrics for the last federated communication round. This ensures that each model has been fne-tuned on the medical records the same number of times. Additionally, we include the accuracy and memorization metrics for each round in Appendix C.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.112, 0.365, 0.887, 0.409]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 6, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.315, 0.42, 0.697, 0.619]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 250, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4: Downstream accuracy in federated learning. LoRA yields relatively similar accuracy to full fne-tuning for several LLMs in a heterogeneous FL setting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.627, 0.886, 0.659]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 251, "edu_l1_label": "EDU_O"}, {"txt": "Accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.117, 0.69, 0.187, 0.707]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "Figure 4 depicts downstream accuracy of federated fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.187, 0.69, 0.615, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "All fne-tunings show relatively similar accuracy values between full fne-tuning and LoRA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.615, 0.69, 0.883, 0.706], [0.118, 0.705, 0.459, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "This suggests that LoRA is a competitive technique in federated learning and can replace full fne-tuning at relatively little cost, in addition to lowering the hardware requirements and the communication overheads.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.459, 0.705, 0.882, 0.72], [0.118, 0.718, 0.882, 0.733], [0.118, 0.732, 0.317, 0.747]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "Memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.118, 0.752, 0.222, 0.769]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "We frst start by comparing memorization in federated learning to centralized learning in Figure 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.222, 0.752, 0.885, 0.768]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "We observe that FL can enhance privacy by reducing memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.117, 0.767, 0.566, 0.782]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "This is consistent with previous work [Thakkar et al., 2020] suggesting that FedAvg and a non-IID data distribution contribute to reducing unintended memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.566, 0.767, 0.883, 0.782], [0.118, 0.78, 0.885, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "However, we note that memorization increases monotonically with the number of rounds (i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.118, 0.794, 0.742, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "the number of times medical records are seen).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.742, 0.794, 0.882, 0.809], [0.118, 0.808, 0.287, 0.823]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "Therefore, a model fne-tuned via FL can reach similar or even greater memorization levels as the number of rounds increases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.287, 0.808, 0.882, 0.823], [0.118, 0.822, 0.343, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "In fact, Figure 8 shows that, after a certain number of rounds, fne-tuning Llama 2 7B exhibits more memorization across several metrics in FL than in CL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.343, 0.822, 0.882, 0.837], [0.117, 0.835, 0.584, 0.851]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "Thus, our results expand on previous work by focusing on how memorization increases throughout the rounds.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.584, 0.835, 0.883, 0.851], [0.118, 0.849, 0.534, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "Comparisons for all models and metrics are included in Appendix C.3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.534, 0.849, 0.882, 0.864], [0.118, 0.863, 0.23, 0.878]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "Analysis.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.117, 0.883, 0.179, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "Despite FL showing lower memorization than CL, all federated fne-tunings exhibit signifcant memorization, thus showing the need for additional privacy-preserving techniques.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.179, 0.883, 0.884, 0.899], [0.118, 0.897, 0.564, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "Figure 6 shows how using LoRA instead of full", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.564, 0.897, 0.882, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.494, 0.937, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 269, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.271, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 270, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.306, 0.086, 0.7, 0.255]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 8, "global_sentence_id": 271, "edu_l1_label": "EDU_O"}, {"txt": "Figure 5: Exact match rates of FL and CL. We compare memorization between CL and FL when fne-tuning Llama 3.2 3B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.114, 0.27, 0.886, 0.298]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.304, 0.322, 0.706, 0.548]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 273, "edu_l1_label": "EDU_O"}, {"txt": "Figure 6: Memorization of LoRA vs full fne-tuning in federated learning. LoRA yields signifcantly lower memorization scores in every setting for an equivalent performance. Plots (a)-(c) show memorization using exact match rate with no duplication, 10x document duplication, and 10x document duplication with a 500 tokens prompt length, while (d)-(f) use BLEU score.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.115, 0.556, 0.888, 0.614]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 274, "edu_l1_label": "EDU_O"}, {"txt": "fne-tuning impacts memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.118, 0.638, 0.349, 0.653]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "Fine-tuning federated LLMs with LoRA displays lower memorization than full fne-tuning across all metrics and models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.349, 0.638, 0.882, 0.653], [0.118, 0.651, 0.4, 0.666]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "LoRA fne-tuning can reduce memorization up to 10× for a negligibleaccuracy loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.4, 0.651, 0.882, 0.667], [0.118, 0.665, 0.207, 0.68]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "We do note that the memorization impact of LoRA differs between similarly sized models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.207, 0.665, 0.795, 0.68]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "For example, fne-tuning Llama 2 7B with LoRA shows a drastic memorization improvement over full fne-tuning, whereas Mistral v0.3 7B shows a lower impact.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.795, 0.665, 0.884, 0.68], [0.118, 0.679, 0.882, 0.694], [0.117, 0.693, 0.318, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "We also fnd that not all trends observed in centralized learning hold in federated learning:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.117, 0.713, 0.719, 0.729]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": " data duplication, longer context and considering paraphrasing all yield higher memorization scores, however Figure 6 shows that bigger models do not necessarily result in more memorization with full fne-tuning, as Llama 3.2 1B reaches higher memorization scores than Llama 3.2 3B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.719, 0.713, 0.883, 0.729], [0.118, 0.727, 0.882, 0.742], [0.118, 0.741, 0.882, 0.756], [0.118, 0.755, 0.287, 0.77]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "Yet the trend still holds when looking at LoRA fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.287, 0.755, 0.675, 0.77]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "We leave further exploration of how model size infuences memorization in federated learning for future work.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.675, 0.755, 0.882, 0.77], [0.118, 0.768, 0.63, 0.784]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "Finally, LoRA drastically reduces FL communication overhead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.118, 0.789, 0.529, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 284, "edu_l1_label": "IOS"}, {"txt": "For instance, each round of our setting requires a total data exchange of 74GB for a 7B model, and using LoRA reduces the load by a factor of 152, decreasing the overhead to 498MB.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.529, 0.789, 0.882, 0.804], [0.118, 0.803, 0.882, 0.818], [0.118, 0.817, 0.186, 0.832]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": "4.4.1 Secure Aggregations", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.118, 0.846, 0.15, 0.862], [0.166, 0.846, 0.309, 0.862]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 7, "global_sentence_id": 286, "edu_l1_label": "IOS"}, {"txt": "FL’s privacy benefts can be compromised if participants gain access to each other’s fne-tuned local models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.118, 0.87, 0.837, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "WhileFigure 8 highlights reduced memorization after model aggregation, unsecured local models may still expose additional information regarding participants’ datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.837, 0.87, 0.882, 0.885], [0.118, 0.884, 0.882, 0.899], [0.118, 0.897, 0.4, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "In Appendix D, we show how secure aggregation addresses this vulnerabil-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.4, 0.897, 0.885, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.495, 0.938, 0.506, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 290, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.268, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 291, "edu_l1_label": "EDU_O"}, {"txt": "ity by using a third party to aggregate encrypted local contributions using Fully Homomorphic Encryption (FHE) and decrypting the aggregated model collectively through Secure Multiparty Computation (SMPC), as described in Sébertet al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.118, 0.092, 0.882, 0.107], [0.118, 0.106, 0.882, 0.121], [0.118, 0.119, 0.149, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "[2022].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.149, 0.119, 0.201, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": "Experiments were conducted using the open-source Lattigo library [Lattigo v6, Mouchet et al., 2020].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.201, 0.119, 0.869, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "4.5Combining LoRA with other methods", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.118, 0.155, 0.417, 0.172]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 9, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "Although LoRA mitigates unintended memorization on its own, we investigate whether it can be combined with other privacy-persevering techniques without compromising performance or increasing memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.117, 0.183, 0.883, 0.198], [0.118, 0.197, 0.733, 0.212]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "If users are focused on reducing extractable memorization in pre-training, then they may be interested in Goldfsh loss (LoRA is preferred for fne-tuning), but we investigate and verify its potential for fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.733, 0.197, 0.882, 0.212], [0.118, 0.211, 0.883, 0.226], [0.118, 0.225, 0.581, 0.24]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "Gradient noising and clipping can be used to satisfy (ϵ, δ)-differential-privacy guarantees, which LoRA alone has not been formally proven to provide.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.581, 0.225, 0.882, 0.24], [0.118, 0.238, 0.804, 0.254]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": "Nonetheless, we emphasize that Goldfsh loss and DP noising/clipping are not effcient strategies, as both require calculation of the full gradient.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.118, 0.259, 0.882, 0.274], [0.118, 0.273, 0.32, 0.288]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "Hence, users will choose LoRA if they are concerned about backpropagation costs or communication overhead, which is a common scenario in FL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.32, 0.273, 0.883, 0.288], [0.118, 0.287, 0.52, 0.302]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "4.5.1Goldfsh loss", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.118, 0.321, 0.255, 0.337]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 11, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "The Goldfsh loss [Hans et al., 2024] has been introduced recently as a memorization mitigating technique for pretraining language models via a new next-token training objective.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.117, 0.347, 0.885, 0.362], [0.118, 0.361, 0.55, 0.376]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "The training procedure randomly excludes tokens from the loss computation in order to prevent verbatim reproduction of training sequences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.55, 0.361, 0.882, 0.376], [0.118, 0.375, 0.699, 0.39]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "In Appendix E, we evaluate the memorization and accuracy of Llama 3.2 3B fne-tuned with LoRA in combination with Goldfsh loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.699, 0.375, 0.882, 0.39], [0.118, 0.388, 0.824, 0.404]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "We also compare it to the same model fully fne-tuned with Goldfsh loss only.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.824, 0.388, 0.882, 0.404], [0.118, 0.402, 0.583, 0.417]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "The combination of LoRA with Goldfsh loss synergistically achieves lower memorization beyond what either strategy achieves alone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.583, 0.402, 0.882, 0.417], [0.118, 0.416, 0.694, 0.431]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": "4.5.2Differential privacy", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.118, 0.45, 0.303, 0.467]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 8, "global_sentence_id": 307, "edu_l1_label": "IOS"}, {"txt": "(ϵ, δ)-Differential privacy (DP) provides formal guarantees that an individual’s data cannot be inferred from a model’soutput, by quantifying the model’s sensitivity to changes in input data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.116, 0.479, 0.882, 0.492], [0.118, 0.49, 0.572, 0.505]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 308, "edu_l1_label": "IOS"}, {"txt": "Following Li et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.572, 0.49, 0.697, 0.505]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "[2021] and Liu et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.697, 0.49, 0.833, 0.505]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 310, "edu_l1_label": "IOS"}, {"txt": "[2024],we defne sensitivity as the maximum change in model output resulting from the inclusion or removal of a single data point in the training dataset (record-level DP).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.833, 0.49, 0.884, 0.505], [0.117, 0.504, 0.882, 0.519], [0.118, 0.518, 0.418, 0.533]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 311, "edu_l1_label": "IOS"}, {"txt": "Implementing DP requires modifcations to the fne-tuning pipeline to limit the infuence of individual data points on model parameters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.118, 0.538, 0.882, 0.554], [0.118, 0.552, 0.24, 0.567]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "Gradient clipping, which constrains the magnitude of gradient updates, is a key technique in this process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.24, 0.552, 0.882, 0.567], [0.118, 0.566, 0.172, 0.581]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "In our experiments (see Appendix G.1), applying a gradient clipping value of 0.0001 signifcantly reduces memorization and improves accuracy compared to the default value of 1.0.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.172, 0.566, 0.882, 0.581], [0.118, 0.58, 0.611, 0.595]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 314, "edu_l1_label": "IOS"}, {"txt": "This demonstrates gradient clipping as a privacy-enhancing method in itself, even without the addition of noise.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.611, 0.58, 0.882, 0.595], [0.118, 0.594, 0.566, 0.609]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 315, "edu_l1_label": "IOS"}, {"txt": "But the use of stochastic gradient descent (SGD), required for DP-SGD, presents challenges in fne-tuning the Llama 3.2 3B model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.566, 0.594, 0.884, 0.609], [0.118, 0.607, 0.667, 0.623]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 316, "edu_l1_label": "IOS"}, {"txt": "Despite an extensive search for optimal learning rates, SGD consistently underperforms compared to Adam-derived optimizers (see Appendix G.2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.667, 0.607, 0.883, 0.623], [0.118, 0.621, 0.873, 0.636]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 317, "edu_l1_label": "IOS"}, {"txt": "5Discussion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.118, 0.66, 0.235, 0.679]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 318, "edu_l1_label": "BOS"}, {"txt": "Our experimental evaluation demonstrates that LoRA reduces memorization in both centralized and FL settings, which naturally raises the question:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.118, 0.695, 0.882, 0.71], [0.118, 0.709, 0.31, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 319, "edu_l1_label": "IOS"}, {"txt": " why does this happen?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.31, 0.709, 0.47, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 320, "edu_l1_label": "IOS"}, {"txt": "We argue that the mechanisms by which FedAvg and LoRA mitigate memorization should be considered independently.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.47, 0.709, 0.883, 0.724], [0.118, 0.723, 0.517, 0.738]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": "Carlini et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.517, 0.723, 0.609, 0.738]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "[2022] empirically establish a log-linear relationship between canary duplication and memorization, thus we frame our discussion of memorization in the context of overftting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.609, 0.723, 0.883, 0.738], [0.118, 0.736, 0.882, 0.752], [0.118, 0.75, 0.205, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "How and why in-distribution, non-duplicated sequences can still be regurgitated [Carlini et al., 2019] is a question that we leave to future work.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.205, 0.75, 0.882, 0.765], [0.118, 0.764, 0.363, 0.779]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 324, "edu_l1_label": "IOS"}, {"txt": "Federated learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.118, 0.784, 0.256, 0.801]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 325, "edu_l1_label": "IOS"}, {"txt": "While it is known that FedAvg can reduce memorization for simpler LSTM-based next-word predictors (NWPs) [Ramaswamy et al., 2020, Thakkar et al., 2020], we hope that our verifcation of this phenomenon for LLMs on longer canaries can encourage formal investigation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.256, 0.784, 0.882, 0.8], [0.118, 0.798, 0.882, 0.814], [0.118, 0.812, 0.556, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "Nevertheless, we note the following: in the IID FedAvg setting with identical hyperparameter settings (same number of local updates, learning rate, and initialization) k resemble a single stochastic gradient in a centralized setting taken over a sNingdle large batch of ∼ size Nk since fk and Dkare homogeneous.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.556, 0.812, 0.882, 0.827], [0.118, 0.826, 0.883, 0.841], [0.635, 0.841, 0.642, 0.85], [0.118, 0.856, 0.881, 0.872], [0.118, 0.87, 0.235, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "Thus, Thakkar et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.235, 0.87, 0.37, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "[2020] observe more memorization in IID settings with larger batch sizes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.37, 0.87, 0.852, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 329, "edu_l1_label": "IOS"}, {"txt": "The non-IID setting is signifcantly more complex: the optimization problem and associated loss landscape of Equation 1 differs from the centralized problem.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.852, 0.87, 0.882, 0.885], [0.118, 0.884, 0.884, 0.899], [0.118, 0.897, 0.351, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 330, "edu_l1_label": "IOS"}, {"txt": "We observe in Figures 5 and 6 that non-IID FL signifcantly reduces memorization,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.351, 0.897, 0.884, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 331, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.494, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 332, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.268, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 333, "edu_l1_label": "EDU_O"}, {"txt": "which Thakkar et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.117, 0.092, 0.251, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 334, "edu_l1_label": "IOS"}, {"txt": "[2020] also observe for their NWPs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.251, 0.092, 0.491, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 335, "edu_l1_label": "IOS"}, {"txt": "While they do not fne-tune their learning rates to eliminate this as a confounding variable, we do5, thus suggesting that FedAvg itself is a memorization-reducing mechanism.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.491, 0.092, 0.882, 0.107], [0.118, 0.106, 0.861, 0.121]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 336, "edu_l1_label": "IOS"}, {"txt": "LoRA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.118, 0.126, 0.165, 0.142]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 337, "edu_l1_label": "IOS"}, {"txt": "It is possible that LoRA reduces benign overftting [Bartlett et al., 2020], which occurs when training data is overftted without affecting performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.165, 0.126, 0.882, 0.141], [0.118, 0.14, 0.381, 0.155]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 338, "edu_l1_label": "IOS"}, {"txt": "Notably, Tang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.381, 0.14, 0.512, 0.155]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 339, "edu_l1_label": "IOS"}, {"txt": "[2023a] prove that benign overftting can preserve out-ofdistribution generalization for overparameterized linear models if there is a strong correlation between the dominant eigenvectors/components of the source and target distributions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.512, 0.14, 0.885, 0.155], [0.118, 0.154, 0.882, 0.169], [0.118, 0.168, 0.535, 0.183]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 340, "edu_l1_label": "IOS"}, {"txt": "It is possible then that our LLMs are displaying this phenomenon: in both the centralized and FL settings, our fne-tuning datasets, while heterogeneous, contain aligned components due to their shared domain.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.535, 0.168, 0.882, 0.183], [0.118, 0.181, 0.882, 0.197], [0.118, 0.195, 0.38, 0.21]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 341, "edu_l1_label": "IOS"}, {"txt": "LoRA may reduce benign overftting by ignoring minor components, which only explain a minimal (and possibly noisy) portion of the data covariance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.38, 0.195, 0.882, 0.21], [0.118, 0.209, 0.606, 0.224]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 342, "edu_l1_label": "IOS"}, {"txt": "Specifc to FL, an alternative hypothesis is that the low-rank approximation of ∆W resembles a δ-compressionoperator [Karimireddy et al., 2019], i.e., ||LORA(∆W) −∆W||2 ≤(1 −δ)||∆W||2, and that low-δ compressors reducememorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.118, 0.23, 0.882, 0.245], [0.118, 0.243, 0.882, 0.259], [0.118, 0.257, 0.214, 0.272]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 343, "edu_l1_label": "IOS"}, {"txt": "Low-bias compressors, such as certain randomized projections [Dorfman et al., 2023, Rabbani et al., 2021, Ivkin et al., 2019] and other low-rank approximations [Makkuva et al., 2023] have been shown to preserve model performance in non-IID distributed settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.214, 0.257, 0.884, 0.272], [0.118, 0.271, 0.882, 0.286], [0.118, 0.285, 0.406, 0.3]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 344, "edu_l1_label": "IOS"}, {"txt": "While the effects of these other operators on memorization has not been extensively studied, the effcacy of gradient clipping in lowering memorization while maintaining accuracy (Table 8) lends further credence to this hypothesis.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.406, 0.285, 0.882, 0.3], [0.118, 0.299, 0.882, 0.314], [0.118, 0.312, 0.409, 0.327]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 345, "edu_l1_label": "IOS"}, {"txt": "Clipping is a low-bias compressor for heavy-tailed gradients, which is observed for general SGD [Mireshghallah et al., 2022] and LLM fne-tuning [Kenton and Toutanova, 2019].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.409, 0.312, 0.882, 0.327], [0.118, 0.326, 0.829, 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1275], "position_id": 11500000, "bbox": [[0.118, 0.405, 0.797, 0.42]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 349, "edu_l1_label": "IOS"}, {"txt": "In particular, this effect is observable in both centralized learning and federated learning (FL), and we fnd this effect is especially pronounced in the latter.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.797, 0.405, 0.884, 0.42], [0.118, 0.419, 0.883, 0.434], [0.118, 0.433, 0.282, 0.448]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 350, "edu_l1_label": "IOS"}, {"txt": "Moreover, it is possible to further reduce memorization by combining LoRA with other strategies such as Goldfsh loss or conventional privacy-preserving mechanisms such as Gaussian noising and gradient clipping.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 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further research is needed to determine whether LoRA mitigates data regurgitation under alternative defnitions of memorization [Schwarzschild et al., 2024].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.791, 0.522, 0.884, 0.537], [0.118, 0.536, 0.882, 0.551], [0.118, 0.55, 0.398, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 356, "edu_l1_label": "IOS"}, {"txt": "Impact statement", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.118, 0.583, 0.264, 0.602]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 11, "global_sentence_id": 357, "edu_l1_label": "EDU_O"}, {"txt": "This paper presents work whose goal is to advance the feld of Machine Learning, especially enhancing privacy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.117, 0.615, 0.885, 0.63]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 358, "edu_l1_label": "IOS"}, {"txt": "Among the many potential societal consequences of our work, we specifcally acknowledge that techniques mitigating unintended memorization can incidentally facilitate the concealment of unlawful use of copyrighted data by preventing its regurgitation post-training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.117, 0.629, 0.882, 0.644], [0.118, 0.642, 0.882, 0.657], [0.118, 0.656, 0.319, 0.671]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 359, "edu_l1_label": "IOS"}, {"txt": "However, we believe that the beneft of enhanced safeguards for confdential data protection combined with the current advances of other methods such as watermarking [Li et al., 2023b, Tang et al., 2023b, Cui et al., 2024] can effectively mitigate this risk and provide stronger overall data protection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.319, 0.656, 0.882, 0.671], [0.118, 0.67, 0.884, 0.685], [0.118, 0.684, 0.777, 0.699]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 360, "edu_l1_label": "IOS"}, {"txt": "Acknowledgments", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.118, 0.717, 0.27, 0.736]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 10, "global_sentence_id": 361, "edu_l1_label": "EDU_O"}, {"txt": "This research is conducted as part of an Innovation Project supported by Innosuisse.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.117, 0.749, 0.649, 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1275], "position_id": 12300000, "bbox": [[0.245, 0.231, 0.451, 0.246]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 442, "edu_l1_label": "EDU_O"}, {"txt": "Wash. L.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.451, 0.231, 0.513, 0.246]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 443, "edu_l1_label": "EDU_O"}, {"txt": "Rev., 79:119, 2004.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.513, 0.231, 0.642, 0.246]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 444, "edu_l1_label": "EDU_O"}, {"txt": "Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, and Florian Tramèr.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.118, 0.25, 0.733, 0.265]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 0, "global_sentence_id": 445, "edu_l1_label": "EDU_O"}, {"txt": "What does it mean fora 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0.178], [0.118, 0.176, 0.453, 0.192]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 648, "edu_l1_label": "EDU_O"}, {"txt": "This study demonstrated that LLMs are particularly vulnerable to membership inference attacks, as they often retain verbatim information from their training datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.453, 0.176, 0.882, 0.192], [0.118, 0.19, 0.811, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 649, "edu_l1_label": "EDU_O"}, {"txt": "The work highlighted the increased privacy risks associated with LLMs due to their scale and training dynamics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.811, 0.19, 0.883, 0.205], [0.118, 0.204, 0.784, 0.219]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 650, "edu_l1_label": "EDU_O"}, {"txt": "Secure Aggregations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.118, 0.224, 0.268, 0.241]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 651, "edu_l1_label": "EDU_O"}, {"txt": "While the conventional FL ensures that raw data is not shared between participants during collective training, it does not address the risk of data leakage through model updates shared prior to aggregation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.268, 0.224, 0.882, 0.24], [0.118, 0.238, 0.855, 0.254]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 652, "edu_l1_label": "EDU_O"}, {"txt": "For example, in the honest-but-curious scenario, a server examines whether client data can be reconstructed [Huang et al., 2021].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.855, 0.238, 0.883, 0.254], [0.118, 0.252, 0.884, 0.267], [0.118, 0.266, 0.159, 0.281]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 653, "edu_l1_label": "EDU_O"}, {"txt": "This vulnerability becomes particularly critical with LLMs, given their propensity for memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.159, 0.266, 0.809, 0.281]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 654, "edu_l1_label": "EDU_O"}, {"txt": "To address the privacy risks associated with local model exchanges in FL, [Truex et al., 2019] proposes a hybrid approach that combines differential privacy with secure multiparty computation (SMC).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.809, 0.266, 0.882, 0.281], [0.118, 0.28, 0.882, 0.295], [0.118, 0.293, 0.586, 0.309]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 655, "edu_l1_label": "EDU_O"}, {"txt": "In this framework, local models are encrypted and remain hidden from other participants prior to aggregation, thereby mitigating privacy leakage risks associated with individual local models by focusing them on the aggregated model during each aggregation round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.586, 0.293, 0.882, 0.309], [0.118, 0.307, 0.882, 0.322], [0.117, 0.321, 0.807, 0.336]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 656, "edu_l1_label": "EDU_O"}, {"txt": "While this method has been explored for general machine learning applications, to the best of our knowledge, it has not yet been investigated in the context of large language models (LLMs).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.807, 0.321, 0.882, 0.336], [0.118, 0.335, 0.882, 0.35], [0.118, 0.349, 0.515, 0.364]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 657, "edu_l1_label": "EDU_O"}, {"txt": "BTraining details", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.118, 0.382, 0.282, 0.402]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 658, "edu_l1_label": "IOS"}, {"txt": "B.1Hyperparameters", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.118, 0.414, 0.281, 0.43]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 659, "edu_l1_label": "EDU_O"}, {"txt": "In centralized learning, we sweep the learning rate ∈{1e −5, 5e −5, 1e −4, 5e −4} for full fne-tuning experiments.For LoRA experiments, we search for learning rate values ∈{5e −5, 1e −4, 5e −4, 1e −3}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.118, 0.44, 0.885, 0.455], [0.118, 0.453, 0.739, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 660, "edu_l1_label": "EDU_O"}, {"txt": "In federated learningexperiments, we sweep the learning rate on each dataset individually for one epoch, with the same set of values as in centralized learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.739, 0.453, 0.882, 0.468], [0.118, 0.467, 0.882, 0.482], [0.118, 0.481, 0.251, 0.496]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 661, "edu_l1_label": "EDU_O"}, {"txt": "For all experiments we fne-tune models with the AdamW optimizer [Loshchilov and Hutter, 2019] with default parameters (β1 = 0.9, β2 = 0.999, ϵ = 1e−8, weight decay of 0.01).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.118, 0.502, 0.882, 0.517], [0.118, 0.515, 0.571, 0.53]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 662, "edu_l1_label": "EDU_O"}, {"txt": "We used a context length of 1024 and ensuredthat no text inputs were longer than the context length.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.571, 0.515, 0.882, 0.53], [0.118, 0.529, 0.476, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 663, "edu_l1_label": "EDU_O"}, {"txt": "We use a linear warmup of 100 steps with a cosine annealing schedule.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.476, 0.529, 0.882, 0.544], [0.118, 0.543, 0.18, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 664, "edu_l1_label": "EDU_O"}, {"txt": "Unless mentioned otherwise, we use a global batch size of 32 with gradient accumulation and gradient checkpointing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.18, 0.543, 0.882, 0.558], [0.118, 0.557, 0.215, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 665, "edu_l1_label": "EDU_O"}, {"txt": "For all LoRA experiments with use a rank of 16, an alpha of 8, drop out 0.05 and use adapters for all projection layers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.215, 0.557, 0.882, 0.572], [0.118, 0.57, 0.231, 0.586]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 666, "edu_l1_label": "EDU_O"}, {"txt": "Additionally, we study the impact of the LoRA rank on memorization in Section B.2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.231, 0.57, 0.791, 0.586]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 667, "edu_l1_label": "EDU_O"}, {"txt": "B.2The LoRA rank and memorization", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13500000, "bbox": [[0.118, 0.601, 0.399, 0.618]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 668, "edu_l1_label": "EDU_O"}, {"txt": "We measure the infuence of the LoRA hyperparameters by varying the rank and measuring the resulting memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.117, 0.627, 0.885, 0.642]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 669, "edu_l1_label": "EDU_O"}, {"txt": "We study rank values r ∈{4, 16, 64, 128, 256, 1024} and set alpha to twice the rank, following common practice.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.117, 0.641, 0.856, 0.656]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 670, "edu_l1_label": "EDU_O"}, {"txt": "Wedecrease the learning rate exponentially as the rank increase.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.856, 0.641, 0.882, 0.656], [0.118, 0.655, 0.512, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 671, "edu_l1_label": "EDU_O"}, {"txt": "Table 1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.117, 0.681, 0.169, 0.697]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 11, "global_sentence_id": 672, "edu_l1_label": "EDU_O"}, {"txt": " Impact of the LoRA rank on memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.169, 0.681, 0.476, 0.697]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 11, "global_sentence_id": 673, "edu_l1_label": "EDU_O"}, {"txt": "We fne-tune Llama 3.2 3B with LoRA in centralized learning on increasing LoRA ranks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.476, 0.681, 0.882, 0.697], [0.118, 0.695, 0.293, 0.71]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 11, "global_sentence_id": 674, "edu_l1_label": "EDU_O"}, {"txt": "We fnd that higher ranks lead to more memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.293, 0.695, 0.646, 0.71]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 11, "global_sentence_id": 675, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.178, 0.731, 0.822, 0.86]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 676, "edu_l1_label": "EDU_O"}, {"txt": "As shown in Table 1, increasing the rank, i.e. increasing the number of weights updated during fne-tuning, results in more memorization, ranging from virtually no verbatim memorization with a rank of 4 to almost 50% of the medical records being memorized for rank 1024 when considering duplicated medical records. We note that in our case, larger", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.112, 0.87, 0.886, 0.915]]}]}, "tags": ["table_caption"], "label": "content", "web_segment_id": 10, "global_sentence_id": 677, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.492, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 678, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.27, 0.045, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 679, "edu_l1_label": "EDU_O"}, {"txt": "ranks do not necessarily imply better accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.118, 0.092, 0.42, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 680, "edu_l1_label": "EDU_O"}, {"txt": "We hypothesize that larger ranks might make overftting more likely to occur.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.42, 0.092, 0.882, 0.107], [0.118, 0.106, 0.157, 0.121]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 681, "edu_l1_label": "EDU_O"}, {"txt": "Additionally, each rank value can beneft from more extensive hyperparameter tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.157, 0.106, 0.722, 0.121]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 682, "edu_l1_label": "EDU_O"}, {"txt": "C Auxiliary results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.118, 0.14, 0.132, 0.16], [0.151, 0.14, 0.289, 0.16]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 683, "edu_l1_label": "IOS"}, {"txt": "C.1 Accuracy", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.118, 0.172, 0.142, 0.189], [0.158, 0.172, 0.224, 0.189]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 9, "global_sentence_id": 684, "edu_l1_label": "EDU_O"}, {"txt": "Table 2 includes a breakdown per benchmark of the downstream accuracy of LoRA and full model fne-tuning in centralized learning as well as performance of pre-trained models without fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.117, 0.198, 0.882, 0.214], [0.118, 0.212, 0.681, 0.227]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 685, "edu_l1_label": "EDU_O"}, {"txt": "Table 3 shows the accuracy of federated fne-tuning per round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.681, 0.212, 0.882, 0.227], [0.118, 0.226, 0.325, 0.241]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 686, "edu_l1_label": "EDU_O"}, {"txt": "Table 2: Downstream accuracy in central learning. Best accuracy values are marked in bold.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.187, 0.253, 0.812, 0.269]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 12, "global_sentence_id": 687, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.299, 0.899, 0.519]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 0, "global_sentence_id": 688, "edu_l1_label": "EDU_O"}, {"txt": "Table 3: Downstream accuracy per federated round. We emphasize in bold the earliest round where models reach their best accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.112, 0.535, 0.885, 0.566]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 1, "global_sentence_id": 689, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.255, 0.584, 0.746, 0.761]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 690, "edu_l1_label": "EDU_O"}, {"txt": "C.2Memorization Score", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.118, 0.783, 0.299, 0.8]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 691, "edu_l1_label": "EDU_O"}, {"txt": "Figure 7 illustrates with Llama 2 7B multiple trends that are consistent with results previously mentioned:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.118, 0.809, 0.807, 0.825]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 692, "edu_l1_label": "EDU_O"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.156, 0.836, 0.168, 0.851]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 693, "edu_l1_label": "EDU_O"}, {"txt": "There is signifcantly, and alarmingly, more memorization when the medical records occur multiple times in the fne-tuning data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.168, 0.836, 0.882, 0.851], [0.176, 0.849, 0.308, 0.865]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 694, "edu_l1_label": "EDU_O"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.156, 0.869, 0.168, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 695, "edu_l1_label": "EDU_O"}, {"txt": "Longer prompts show higher memorization (discoverability phenomenon).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.168, 0.869, 0.66, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 696, "edu_l1_label": "EDU_O"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.156, 0.889, 0.168, 0.904]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 697, "edu_l1_label": "EDU_O"}, {"txt": "There is signifcantly more memorization with approximate generation (BLEU score).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.168, 0.889, 0.732, 0.904]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 698, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.491, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 699, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.271, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 700, "edu_l1_label": "EDU_O"}, {"txt": "Documents duplicated 10x", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15400000, "bbox": [[0.547, 0.095, 0.784, 0.11]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 11, "global_sentence_id": 701, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.182, 0.092, 0.815, 0.343]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 702, "edu_l1_label": "EDU_O"}, {"txt": "Figure 7: An example of memorization scores for a full fne-tuning of Llama 2 7B. We report the exact match rate and BLEU score with respect to the prompt length, with and without duplication. We also show the memorization upper bound (\"Full memorization\") reached when every test sequence has been memorized.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.356, 0.889, 0.401]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 703, "edu_l1_label": "EDU_O"}, {"txt": "C.3Memorization scores in FL", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.118, 0.426, 0.345, 0.442]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 9, "global_sentence_id": 704, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8 shows the memorization scores per round of federated learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.118, 0.452, 0.589, 0.467]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 705, "edu_l1_label": "EDU_O"}, {"txt": "We can see that using LoRA results in lower unintended memorization than full fne-tuning at every round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.589, 0.452, 0.883, 0.467], [0.118, 0.466, 0.52, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 706, "edu_l1_label": "EDU_O"}, {"txt": "DSecure Aggregations", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.118, 0.5, 0.323, 0.52]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 7, "global_sentence_id": 707, "edu_l1_label": "EDU_O"}, {"txt": "Secure aggregations ensure that sensitive data remains protected and prevents the aggregator from decrypting any model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.118, 0.534, 0.885, 0.549]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 708, "edu_l1_label": "EDU_O"}, {"txt": "We evaluate the runtime performance of using secure aggregation in conjunction with LoRA in an FL setting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.117, 0.547, 0.83, 0.562]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 709, "edu_l1_label": "EDU_O"}, {"txt": "Performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.118, 0.568, 0.212, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 710, "edu_l1_label": "EDU_O"}, {"txt": "To evaluate the performance impact of secure aggregation, we use Lattigo, an open-source library that enables secure protocols based on multiparty homomorphic encryption Lattigo v6, Mouchet et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.212, 0.568, 0.882, 0.583], [0.118, 0.582, 0.749, 0.597]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 711, "edu_l1_label": "EDU_O"}, {"txt": "[2020].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.749, 0.582, 0.8, 0.597]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 712, "edu_l1_label": "EDU_O"}, {"txt": "Specifcally, it implements the CKKS scheme, which allows effcient encrypted computations on real-valued data, making it ideal for the secure aggregation of the LoRA models trained by the clients/participants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.8, 0.582, 0.884, 0.597], [0.118, 0.596, 0.883, 0.611], [0.118, 0.609, 0.615, 0.624]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 713, "edu_l1_label": "EDU_O"}, {"txt": "In our experiments, we consider 3 clients and confgure CKKS parameters to enable 32-bit precision.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.615, 0.609, 0.882, 0.624], [0.118, 0.623, 0.504, 0.638]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 714, "edu_l1_label": "EDU_O"}, {"txt": "Since our LoRA models are trained with 16-bit precision, this ensures that secure aggregation does not introduce any accuracy loss compared to standard aggregation in plaintext.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.504, 0.623, 0.884, 0.638], [0.118, 0.637, 0.882, 0.652], [0.118, 0.651, 0.178, 0.666]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 715, "edu_l1_label": "EDU_O"}, {"txt": "Secure aggregation introduces a time overhead due to encryption, homomorphic operations, and collective decryption.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.118, 0.671, 0.885, 0.687]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 716, "edu_l1_label": "EDU_O"}, {"txt": "The duration of encrypted aggregation is infuenced by the number of weights being aggregated, specifcally the number of LoRA weights.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.117, 0.685, 0.882, 0.7], [0.118, 0.699, 0.289, 0.714]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 717, "edu_l1_label": "EDU_O"}, {"txt": "In our experiments with Llama 3.2 3B, a LoRA update contains 24,772,608 parameters, representing approximately 0.77% of the full model’s parameters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.289, 0.699, 0.884, 0.715], [0.118, 0.712, 0.577, 0.728]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 718, "edu_l1_label": "EDU_O"}, {"txt": "In Table 4, we report the aggregation times forvectors of varying sizes, corresponding to the number of LoRA weights.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.577, 0.712, 0.883, 0.728], [0.117, 0.726, 0.592, 0.742]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 719, "edu_l1_label": "EDU_O"}, {"txt": "Aggregating three vectors of the size of our LoRA takes 11.33 seconds, which is negligible compared to the time required for local fne-tuning at each round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.592, 0.726, 0.883, 0.742], [0.118, 0.74, 0.854, 0.755]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 720, "edu_l1_label": "EDU_O"}, {"txt": "EGoldfsh loss", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.118, 0.775, 0.256, 0.794]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 721, "edu_l1_label": "EDU_O"}, {"txt": "In this section, we evaluate how LoRA combined with Goldfsh loss impact the accuracy and the memorization of Llama 3.2 3B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.118, 0.808, 0.882, 0.823], [0.118, 0.822, 0.21, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 722, "edu_l1_label": "EDU_O"}, {"txt": "While Goldfsh loss has been designed for pre-training, we apply it to our fne-tuning and report values for various dropping frequencies k. We use a hashing context width h = 13 following the authors’ methodology [Hanset al., 2024].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.21, 0.822, 0.882, 0.837], [0.118, 0.835, 0.882, 0.851], [0.118, 0.849, 0.199, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 723, "edu_l1_label": "EDU_O"}, {"txt": "Table 5 shows how combining Goldfsh loss with LoRA mitigates memorization compared to a full fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.117, 0.87, 0.885, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 724, "edu_l1_label": "EDU_O"}, {"txt": "By contrasting memorization scores with control values, we can also note that the Goldfsh loss is an effective memorization-mitigation technique.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.118, 0.884, 0.882, 0.899], [0.118, 0.897, 0.352, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 725, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.492, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 726, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.268, 0.045, 0.733, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 727, "edu_l1_label": "EDU_O"}, {"txt": "Mistral-v0.3-7B", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.443, 0.416, 0.539, 0.425]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 5, "global_sentence_id": 728, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16800000, "bbox": [[0.103, 0.101, 0.891, 0.538]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 0, "global_sentence_id": 729, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8: Memorization scores for central learning and federated learning with respect to rounds. In all settings, LoRA results in better privacy than a full fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16900000, "bbox": [[0.113, 0.547, 0.885, 0.578]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 730, "edu_l1_label": "EDU_O"}, {"txt": "Table 4: Execution Time of the Secure Aggregation Protocol. The protocol aggregates three equal-sized encrypted vectors for varying sizes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.115, 0.608, 0.885, 0.638]]}]}, "tags": ["figure_caption"], "label": "table_title", "web_segment_id": 2, "global_sentence_id": 731, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17100000, "bbox": [[0.397, 0.658, 0.606, 0.785]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 4, "global_sentence_id": 732, "edu_l1_label": "EDU_O"}, {"txt": "To assess the impact of LoRA in combination with Goldfsh loss, we evaluated the memorization and accuracy of fne-tuning the same model using full fne-tuning. Table 6 presents the memorization scores and accuracy of the model fne-tuned with Goldfsh loss alone, without LoRA. Our results indicate that while Goldfsh loss reduces memorization, it does not achieve the same level of reduction as the combination with LoRA, especially when duplication occurs in the fne-tuning data. In summary, combining LoRA with Goldfsh loss allows a privacy-utility tradeoff that cannot be achieved using Goldfsh loss alone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17200000, "bbox": [[0.115, 0.827, 0.886, 0.913]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 1, "global_sentence_id": 733, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17300000, "bbox": [[0.491, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 734, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17300000, "bbox": [[0.27, 0.045, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 735, "edu_l1_label": "EDU_O"}, {"txt": "Table 5: Impact of Goldfsh loss on BLEU Scores and accuracy in LoRA Fine-Tuning. Llama 3.2 3B is fne-tuned with different dropping frequencies (k). Best accuracy is marked in bold.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.115, 0.088, 0.884, 0.118]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 11, "global_sentence_id": 736, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17500000, "bbox": [[0.316, 0.137, 0.686, 0.258]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 737, "edu_l1_label": "EDU_O"}, {"txt": "Table 6: Impact of Goldfsh loss on BLEU Scores and accuracy. The BLEU scores and the accuracy of Llama 3.2 3B is reported for full fne-tuning across different dropping frequencies (k). Best accuracy is marked in bold.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.115, 0.27, 0.886, 0.301]]}]}, "tags": ["figure_caption"], "label": "table_title", "web_segment_id": 10, "global_sentence_id": 738, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17700000, "bbox": [[0.317, 0.32, 0.686, 0.441]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 739, "edu_l1_label": "EDU_O"}, {"txt": "FNEFTune", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17800000, "bbox": [[0.118, 0.465, 0.23, 0.485]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 5, "global_sentence_id": 740, "edu_l1_label": "EDU_O"}, {"txt": "NEFTune is a regularization technique consisting in adding random noise to the embedding vectors to improve instruction fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.118, 0.501, 0.882, 0.517], [0.118, 0.515, 0.264, 0.53]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 741, "edu_l1_label": "EDU_O"}, {"txt": "While not introduced as a privacy-preserving technique per se, we hypothesize that a fne-tuning regularization such as NEFTune may also reduce unintended memorization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.264, 0.515, 0.882, 0.53], [0.118, 0.529, 0.612, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 742, "edu_l1_label": "EDU_O"}, {"txt": "We display results after applying NEFTune with noise value α ∈{5, 10, 15, 30, 45}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18000000, "bbox": [[0.117, 0.55, 0.657, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 743, "edu_l1_label": "EDU_O"}, {"txt": "We fnd that adding noise does notimprove accuracy when applied to our domain adaptation fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18000000, "bbox": [[0.657, 0.55, 0.882, 0.565], [0.118, 0.563, 0.58, 0.579]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 744, "edu_l1_label": "EDU_O"}, {"txt": "Secondly, increasing the noise does not yield better privacy, at least not until we set alpha to 45, which is greater than alpha values reported by the original work (5, 10, and 15).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18000000, "bbox": [[0.58, 0.563, 0.882, 0.579], [0.118, 0.577, 0.884, 0.592], [0.116, 0.591, 0.194, 0.606]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 745, "edu_l1_label": "EDU_O"}, {"txt": "Table 7: NEFTune impact on the BLEU score and accuracy when combined with LoRA. We analyze LoRA fne-tuning with Llama 3.2 3B and different noise scaling factors α.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.115, 0.622, 0.885, 0.654]]}]}, "tags": ["figure_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 746, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18200000, "bbox": [[0.357, 0.673, 0.645, 0.783]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 4, "global_sentence_id": 747, "edu_l1_label": "EDU_O"}, {"txt": "GDifferential Privacy", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18300000, "bbox": [[0.118, 0.819, 0.317, 0.839]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 748, "edu_l1_label": "IOS"}, {"txt": "G.1Gradient clipping", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18400000, "bbox": [[0.118, 0.855, 0.282, 0.871]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 749, "edu_l1_label": "EDU_O"}, {"txt": "Table 8 illustrates the effect of different gradient clipping values on the BLEU score and accuracy achieved during the fne-tuning of LLama 3.2 3B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18500000, "bbox": [[0.117, 0.884, 0.882, 0.899], [0.118, 0.897, 0.309, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 750, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.491, 0.938, 0.508, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 751, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.268, 0.045, 0.733, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 752, "edu_l1_label": "EDU_O"}, {"txt": "Table 8: Gradient clipping impact on the BLEU score and accuracy. The BLEU score and the accuracy of Llama 3.2 3B is reported for LoRA fne-tuning. Best accuracy is marked in bold.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18700000, "bbox": [[0.117, 0.088, 0.885, 0.118]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 753, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18800000, "bbox": [[0.325, 0.135, 0.678, 0.332]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 8, "global_sentence_id": 754, "edu_l1_label": "EDU_O"}, {"txt": "G.2Optimizer effect on loss", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18900000, "bbox": [[0.118, 0.353, 0.323, 0.37]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 755, "edu_l1_label": "EDU_O"}, {"txt": "Figure 9 illustrates the loss reduction difference between Stochastic Gradient Descent (SGD) and Paged AdamW optimizers during the fne-tuning of Llama 3.2 3B. The SGD optimizer failed to achieve the same level of loss reduction as Paged AdamW.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19000000, "bbox": [[0.111, 0.379, 0.884, 0.422]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 6, "global_sentence_id": 756, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19100000, "bbox": [[0.304, 0.451, 0.696, 0.596]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 757, "edu_l1_label": "EDU_O"}, {"txt": "Figure 9: Loss reduction comparison between optimizers. The plot compares loss reduction during the fne-tuning of Llama 3.2 3B using different optimizers: SGD (blue) and Paged AdamW (orange).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19200000, "bbox": [[0.111, 0.608, 0.885, 0.637]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 758, "edu_l1_label": "EDU_O"}, {"txt": "HPost-fne-tuning Gaussian noise injection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19300000, "bbox": [[0.118, 0.672, 0.492, 0.691]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 759, "edu_l1_label": "IOS"}, {"txt": "This section provides details and results of the injection of noise into the weights of a model after fne-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.117, 0.705, 0.885, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 760, "edu_l1_label": "EDU_O"}, {"txt": "Specifcally, the noise is sampled from a Gaussian distribution N(µ, σ2), where the mean µ is set to 0, and σ2 is thevariance that determines the noise’s magnitude.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.118, 0.718, 0.882, 0.733], [0.117, 0.732, 0.43, 0.747]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 761, "edu_l1_label": "EDU_O"}, {"txt": "Unlike the DP Gaussian mechanism, this approach does not provideformal privacy guarantees.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.43, 0.732, 0.882, 0.747], [0.118, 0.746, 0.287, 0.761]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 762, "edu_l1_label": "EDU_O"}, {"txt": "However, it offers a practical and computationally light method to mitigate the memorization of sensitive information, as it does not require additional fne-tuning and can be directly applied to previously fne-tuned LLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.287, 0.746, 0.882, 0.761], [0.118, 0.76, 0.882, 0.775], [0.118, 0.773, 0.163, 0.789]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 763, "edu_l1_label": "EDU_O"}, {"txt": "Additionally, measuring the performance of this method can illustrate how other noise mechanisms similar to those used in DP might affect accuracy and privacy metrics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.163, 0.773, 0.882, 0.789], [0.118, 0.787, 0.507, 0.802]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 764, "edu_l1_label": "EDU_O"}, {"txt": "In Table 9, we evaluate its effect under various noise magnitudes, along with the corresponding impact on model accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19500000, "bbox": [[0.118, 0.808, 0.882, 0.823], [0.118, 0.822, 0.178, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 765, "edu_l1_label": "EDU_O"}, {"txt": "We applied Gaussian noise to the LoRA weights of a fne-tuned Llama 3.2 3B model, as evaluated in earlier sections.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19500000, "bbox": [[0.178, 0.822, 0.883, 0.837], [0.118, 0.835, 0.174, 0.851]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 766, "edu_l1_label": "EDU_O"}, {"txt": "We then compared the model’s BLEU score and accuracy across different noise magnitudes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19500000, "bbox": [[0.174, 0.835, 0.781, 0.851]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 767, "edu_l1_label": "EDU_O"}, {"txt": "We observe that the accuracy remains unaffected up to a certain noise level (σ = 0.01) and even shows slightimprovement.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19600000, "bbox": [[0.117, 0.856, 0.882, 0.871], [0.118, 0.87, 0.209, 0.885]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 768, "edu_l1_label": "EDU_O"}, {"txt": "However, beyond this threshold, accuracy decreases and reduction in memorization similarly follows, appearing to correlate with this decrease.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19600000, "bbox": [[0.209, 0.87, 0.884, 0.885], [0.118, 0.884, 0.381, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 769, "edu_l1_label": "EDU_O"}, {"txt": "These observations suggest that this mechanism effectively reduces excessive memorization in models that have overftted onto their training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19600000, "bbox": [[0.381, 0.884, 0.882, 0.899], [0.118, 0.897, 0.565, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 770, "edu_l1_label": "EDU_O"}, {"txt": "Therefore, this approach offers an alternative to", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19600000, "bbox": [[0.565, 0.897, 0.882, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 771, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19700000, "bbox": [[0.491, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 772, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19700000, "bbox": [[0.268, 0.044, 0.734, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 773, "edu_l1_label": "EDU_O"}, {"txt": "Table 9:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19800000, "bbox": [[0.117, 0.088, 0.171, 0.103]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 774, "edu_l1_label": "EDU_O"}, {"txt": " Impact of noise addition on BLEU score and accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19800000, "bbox": [[0.171, 0.088, 0.568, 0.104]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 775, "edu_l1_label": "EDU_O"}, {"txt": "Llama 3.2 3B is fne-tuned with LoRA across various noise magnitudes (σ)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19800000, "bbox": [[0.568, 0.088, 0.882, 0.103], [0.117, 0.102, 0.307, 0.117]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 776, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19900000, "bbox": [[0.299, 0.137, 0.701, 0.238]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 777, "edu_l1_label": "EDU_O"}, {"txt": "early stopping for controlling memorization which can be applied post fne-tuning. Figure 10 compares the privacy and utility of Llama 3.2 3B subject to post-fne-tuning gaussian noise injection with the evolution of the model fne-tuned with LoRA accross iterations. The noisy model, represented by red dots, has been fne-tuned for 2100 iterations before injecting the gaussian noise. Gaussian noise injection of standard deviations of σ = 0.2 and σ = 0.3 have been reportedin the plot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20000000, "bbox": [[0.115, 0.258, 0.885, 0.331]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 5, "global_sentence_id": 778, "edu_l1_label": "EDU_O"}, {"txt": "H.1Privacy-Utility tradeoff with Gaussian noise injection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.118, 0.344, 0.529, 0.36]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 3, "global_sentence_id": 779, "edu_l1_label": "EDU_O"}, {"txt": "Figure 10 presents a dot plot comparing the privacy-utility tradeoffs of Llama 3.2 3B when fne-tuned with LoRA versus when Gaussian noise is injected after fne-tuning with LoRA. The results indicate that Gaussian noise injection does not enhance the privacy-utility tradeoff compared to fne-tuning with LoRA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20200000, "bbox": [[0.115, 0.37, 0.885, 0.413]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 6, "global_sentence_id": 780, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20300000, "bbox": [[0.164, 0.436, 0.837, 0.715]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 781, "edu_l1_label": "EDU_O"}, {"txt": "Memorization score", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20400000, "bbox": [[0.474, 0.725, 0.62, 0.741]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 4, "global_sentence_id": 782, "edu_l1_label": "EDU_O"}, {"txt": "Figure 10: Privacy-Utility tradeoff with post-fne-tuning gaussian noise injection. Accuracy and memorization (BLEU score with 10x document duplication) tradeoff of Llama 3.2 3B subject to post-fne-tuning gaussian noise injection with standard deviation. Values above the dots correspond to the number of iterations for LoRA fne-tuning evolution, and the standard deviation of injected noise for noisy models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20500000, "bbox": [[0.114, 0.767, 0.889, 0.824]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 783, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20600000, "bbox": [[0.491, 0.937, 0.508, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 784, "edu_l1_label": "EDU_O"}], "type": "PDF"}
# MITIGATING UNINTENDED MEMORIZATION WITH LORA IN FEDERATED LEARNING FOR LLMS ## ABSTRACT ## 1Introduction ## 2Related Work ### 2.1Privacy in LLMs #### Differential privacy. #### Memorization. ### 2.2Federated Learning #### Privacy in FL. #### Medical applications. ## 3Preliminaries ### LoRA. ### Federated Learning. ### Memorization Defnition. ## 4Empirical Evaluation ### 4.1Experimental setup #### Fine-tuning Datasets. ##### 1.MedMCQA [Pal et al., 2022] is composed of multiple-choice questions, containing almost 190k entrance exam questions (AIIMS & NEET PG). ##### 2.PubMedQA [Jin et al., 2019] consists of Yes/No/Maybe questions created from PubMed abstracts. ##### 3.Medical Meadow fashcards [Han et al., 2023] contains 39k questions created from Anki Medical Curriculum fashcards compiled by medical students. #### Medical Benchmarks. #### Models. ### 4.2Quantifying memorization #### Canaries. #### Prompting. #### Memorization scores. ### 4.3Centralized Learning #### 4.3.1Utility-privacy tradeoff ### 4.4Federated Learning #### 4.4.1 Secure Aggregations ### 4.5Combining LoRA with other methods #### 4.5.1Goldfsh loss #### 4.5.2Differential privacy ## 5Discussion ### Federated learning. ### LoRA. ## 6Conclusion and Limitations ## Impact statement
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# 中国华电与中国建材签署战略合作协议 ## 江毅 ## 周育先
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"因此受限于访问权限的设置，若给您造成不便，烦请见谅！", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 21500000, "bbox": [[0.063, 0.201, 0.51, 0.211]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 946, "edu_l1_label": "EDU_O"}, {"txt": "感谢您给予的理解与配合。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 21500000, "bbox": [[0.51, 0.201, 0.722, 0.212]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 947, "edu_l1_label": "EDU_O"}, {"txt": "分析师承诺", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 21500000, "bbox": [[0.061, 0.237, 0.161, 0.249]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 6, "global_sentence_id": 948, "edu_l1_label": "EDU_O"}, {"txt": "负责准备本报告以及撰写本报告的所有研究分析师或工作人员在此保证，本研究报告中关于任何发行商或证券所发表的观点均如实反映分析人员的个人观点。", "language": "chinese", "position": 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# 2月电商数据分析：白酒线上消费回暖，重视零食板块成长性-行业点评报告 ## 1、酒类：线上销售额上升，白酒集中度环比上升 ### 2025年2月酒类销售额上升，清酒烧酒表现相对较好。 ### 白酒行业龙头企业中，贵州茅台、五粮液线上销售额增长，山西汾酒下降。 ### 白酒行业集中度环比上升。 ### 啤酒行业青岛、百威、雪花线上销售额均同比下降。 ### 啤酒行业集中度环比下降。 ### 2025年2月预调酒线上销售额下降，锐澳品牌销售额下降。 ## 2、休闲食品：线上销售额下降，奶酪零食表现相对较好 ### 2025年2月休闲食品销售额下降，奶酪零食表现相对较好。 ### 休闲食品行业龙头企业中三只松鼠、百草味、良品铺子线上销售额均下降。 ### 休闲食品行业集中度环比下降。 ## 3、粮油速食：线上销售额增长，烘焙原料表现相对较好 ### 2025年2月粮油速食行业销售额增长，烘焙原料表现相对较好。 ### 龙头品牌海天味业、李锦记线上销售额增长，千禾味业线上销售额下降。 ### 行业头部集中度环比下降。 ## 4、乳制品：线上销售额增长，低温调制乳增速较快 ### 2025年2月乳制品行业销售额增长，低温调制乳类增速较快。 ### 乳制品头部品牌伊利、认养一头牛线上销售额增长，蒙牛线上销售额下降。 ### 乳制品行业集中度环比下降。 ## 5、冲饮麦片：线上销售额上升，行业集中度环比下降 ### 2025年2月冲饮麦片行业销售额上升，西麦市占率最高。 ### 燕麦头部品牌中西麦销售额增长，桂格、王饱饱销售额下降。 ### 行业集中度下降。 ## 6、包装饮料：线上销售额增长，植物蛋白饮料增长较快 ### 2025年2月包装饮料行业销售额增长，植物蛋白饮料增速相对较快。 ### 主要品牌线上销售额表现分化。 ## 7、投资建议：白酒线上消费回暖，重视零食板块成长性 ## 8、风险提示 ### （1）宏观经济表现低于预期： ### （2）食品安全问题： ### （3）行业竞争加剧：
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https://mp.weixin.qq.com/s?__biz=MzIzNjc1NzUzMw==&mid=2247773702&idx=3&sn=f3860806fffaf94dc27ff0c3d8a54539&scene=0
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532, "size": 0, "start": 0, "tags": ["img"], "tail": 0, "txt": "恢复到全精度表示，反量化过程公式为：", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[21]/img[2]"}]}, "tags": ["img"], "label": "content", "web_segment_id": 40, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/15gXBr2MN4S52luNpd3fytM4.png", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 117, "size": 0, "start": 0, "tags": ["img"], "tail": 0, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/15gXBr2MN4S52luNpd3fytM4.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[22]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 41, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": "其中", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 534, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": 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# 扩散模型低位量化突破！有效扩散量化的极限推向2-4位，W2A4位宽下FID降低58%，超越SOTA方法 ## 相关工作 ### 扩散模型 ### 扩散模型量化 ## 方法 ### 模型量化 ### 离群值指导的混合精度量化 ### 时间步平滑的关系蒸馏 ## 实验 ### 实验设置 ### 实验结果 #### 类条件生成 #### 无条件的生成 #### 文本到图像生成 ### 消融实验 #### 组件研究 #### 异常值选择方法研究 #### 蒸馏指标研究
624b9fcf-4e1d-4216-8c61-9eb7d739d89b
web
test/raw_web_htmls/624b9fcf-4e1d-4216-8c61-9eb7d739d89b.html
https://mp.weixin.qq.com/s/QrjQTu1Dv9eErYjR3vDPCQ
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# 咖啡危机：发霉豆、假标签、有毒瘦身，消费者如何自保？ ## 新闻一：北京警方破获假冒咖啡销售案 ## 新闻二：兰州警方侦破特大“瘦身咖啡”案 ## 新闻三：福州海关查获2吨发霉咖啡豆
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test/raw_pdf_files/3d9e30e3-fe83-45e8-9dea-2d6f7b0cdd5e.pdf
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{"entry_id": "3d9e30e3-fe83-45e8-9dea-2d6f7b0cdd5e", "infos": [{"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.805, 0.006, 0.934, 0.029]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "M", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.102, 0.094, 0.116, 0.103]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 25, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "电子", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.054, 0.109, 0.111, 0.13]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 16, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "----------------------------------------", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.114, 0.084, 0.237, 0.1]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 26, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "1000 ▼汇通天下V P", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.239, 0.015, 0.8, 0.1]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 13, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "周跟踪（20241014-20241018）", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.35, 0.111, 0.687, 0.134]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 18, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "证券研究报告", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.809, 0.085, 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"global_sentence_id": 9, "edu_l1_label": "EDU_O"}, {"txt": "投资要点", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.351, 0.189, 0.425, 0.204]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 6, "global_sentence_id": 10, "edu_l1_label": "BOS"}, {"txt": "> T 市场整体：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "本周（2024.10.14-10.18）市场大盘整体上涨，上证指数涨1.36%，深圳成指涨2.95%，创业板指涨4.49%，科创50涨8.87%，申万电子指数涨9.65%，Wind半导体指数上涨10.07%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "外围市场费城半导体指数跌2.39%，台湾半导体指数涨3.12%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "细分板块中，周涨跌幅前三为其他电子（+13.66%）、半导体（+12.07%）、数字芯片设计（+11.84%)。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "从个股看，涨幅前五为光智科技（+148.86%）、经纬辉开（+105.35%）、捷邦科技（+81.63%）、凯旺科技（+65.48%）和华岭股份（+63.00%）；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "跌幅前五为：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "光华科技（-7.26%）、*ST美讯（-6.55%）利安科技（-6.12%）、莱尔科技（-5.56%)、传音控股（-5.50%）。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.351, 0.209, 0.953, 0.355]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 2, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "行业新闻：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "ASML发布2024年第三季度财报。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "ASML24Q3实现净销售额75亿欧元，毛利率50.8%，净利润21亿欧元，新增订单26亿欧元，其中14亿欧元来自EUV光刻机。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "管理层表示，虽然人工智能继续存在强劲的发展和上行潜力，但其他细分市场需要更长的时间才能恢复。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "现在看来，复苏比之前预期的要缓慢。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "预计这种情况将在2025年继续下去，这导致客户持谨慎态度。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "ASML预计2024年第四季度收入在88亿至92亿欧元之间，毛利率在49%至50%之间。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "2025年展望中，预计收入目标为300亿至350亿欧元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "英伟达DGXB200AI服务器上市，顶级AI硬件起售价50万美元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "英伟达的下一代BlackwellAI架构备受业界瞩目，特别是其DGXB200“Blackwell”AI服务器。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "该服务器由Broadberry以约51.5万美元的起售价列出，搭载8块B200GPU，拥有1.4TBGPU内存和64TB/s的HBM3E内存带宽，能提供72petaFLOPS的训练性能和144petaFLOPS的推理性能，相较于Hopper架构大幅升级。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "Blackwell已吸引微软和Meta等科技巨头的采用，且英伟达与OpenAI存在独家合作。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "预计Blackwell将引领AI市场，成为英伟达最成功的产品之一。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "台积电发布2024年第三季度财报。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "台积电24Q3实现营收7596.9亿新台币，同比增长39.0%，环比增长12.8%，净利润3252.6亿新台币，同比增长54.2%，环比增长31.2%；", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "毛利率为57.8%，净利率为42.8%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "先进技术（7nm及以上)占晶圆收入的69%，其中3nm出货占20%，5nm出货占32%，7nm出货占17%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "管理层表示，受益于智能手机和AI 需求强劲，推动了3nm 和m技术的发展。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "公司预计第四季度收入为261亿至269亿美元，毛利率在57.0%至59.0%之间。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.349, 0.358, 0.952, 0.779]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "重要公告：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.351, 0.784, 0.952, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "【顺中科技】2024年第三季度，公司实现营业收入5.01亿元，同比增加9.39%，实现归母净利润0.66亿元，同比减少45.92%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.351, 0.784, 0.952, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "【力合微】2024年第三季度，公司实现营业收入1.15亿元，同比减少41.43%，实现归母净利润8.13百万元，同比减少73.56%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.351, 0.784, 0.952, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "【麦格米特】公司目前作为英伟达指定的40余家数据中心部件提供商之一，将最新技术突破的创新型电源解决方案与", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.351, 0.784, 0.952, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "2024年10月22日", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.052, 0.166, 0.212, 0.184]]}]}, "tags": ["figure_caption"], "label": "publish_time", "web_segment_id": 21, "global_sentence_id": 41, "edu_l1_label": "EDU_O"}, {"txt": "电子行业近一年市场表现", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.052, 0.187, 0.225, 0.201]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 42, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", 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"shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.086, 0.416, 0.91, 0.451]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 346, "edu_l1_label": "EDU_O"}, {"txt": "山西证券研究所：", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15400000, "bbox": [[0.089, 0.479, 0.243, 0.495]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 4, "global_sentence_id": 347, "edu_l1_label": "EDU_O"}, {"txt": "上海", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.09, 0.499, 0.127, 0.514]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 14, "global_sentence_id": 348, "edu_l1_label": "IOS"}, {"txt": "上海市浦东新区滨江大道5159号陆家嘴滨江中心N5座3楼", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.089, 0.517, 0.394, 0.552]]}]}, "tags": 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# 台积电24Q3业绩全面超预期，AI 需求依旧强劲 ## 1. 行情回顾 ### 1.1市场整体行情 ### 1.2 细分板块行情 #### 1.2.1 涨跌幅 #### 1.2.2 估值 ### 1.3 个股公司行情 ## 2. 数据跟踪 ## 3. 新闻公告 ### 3.1重大事项 ### 3.2 行业新闻 ## 4. 风险提示
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0.383]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 18, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "Here, we report an evaluation of how good large language models are at generating sections of one such document, clinical trial protocols.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.615, 0.375, 0.915, 0.384], [0.104, 0.39, 0.74, 0.398]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 18, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "Methods:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.105, 0.404, 0.178, 0.413]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 19, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": " Using an off-the-shelf large language model, we generated protocol sections for a broad range of diseases and clinical trial phases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.178, 0.404, 0.915, 0.414], [0.104, 0.421, 0.242, 0.428]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 19, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "Each of these document sections we assessed across four dimensions: Clinical thinking and logic;Transparency and references; Medical and clinical terminology; and Content relevance and suitability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.242, 0.421, 0.917, 0.43], [0.105, 0.435, 0.741, 0.443]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 19, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "To improve performance,we used the retrieval-augmented generation method to enhance the large language model with accurate up-to-date information, including regulatory guidance documents and data from ClinicalTrials.gov.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.741, 0.435, 0.915, 0.445], [0.104, 0.452, 0.915, 0.458], [0.104, 0.466, 0.703, 0.474]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 19, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "Using this retrieval-augmented generationlarge language model, we regenerated the same protocol sections and assessed them across the same four dimensions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.703, 0.466, 0.915, 0.474], [0.104, 0.482, 0.916, 0.489], [0.104, 0.497, 0.184, 0.504]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 19, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "Results:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.102, 0.51, 0.919, 0.612]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 20, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": " We find that the off-the-shelf large language model delivers reasonable results, especially when assessing content relevance and the correct use of medical and clinical terminology, with scores of over $80\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.102, 0.51, 0.919, 0.612]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 20, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "However, the off-the-shelf large language model shows limited performance in clinical thinking and logic and transparency and references, with assessment scores of$\\approx 40\\%$or less.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.102, 0.51, 0.919, 0.612]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 20, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "The use of retrieval-augmented generation substantially improves the writing quality of the large language model, with clinical thinking and logic and transparency and references scores increasing to$\\approx 80\\%$.The retrieval-augmented generation method thus greatly improves the practical usability of large language models for clinical trial-related writing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.102, 0.51, 0.919, 0.612]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 20, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "Discussion:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.104, 0.616, 0.191, 0.625]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 21, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": " Our results suggest that hybrid large language model architectures, such as the retrieval-augmented generation method we utilized, offer strong potential for clinical trial-related writing, including a wide variety of docu-ments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.191, 0.616, 0.915, 0.625], [0.103, 0.634, 0.916, 0.64], [0.113, 0.649, 0.15, 0.655]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 21, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "This is potentially transformative, since it addresses several major bottlenecks of drug development.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.15, 0.649, 0.827, 0.655]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 21, 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"bbox": [[0.081, 0.048, 0.897, 0.064]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 50, "edu_l1_label": "EDU_O"}, {"txt": "employ tens to hundreds of medical writers and reviewers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.08, 0.088, 0.482, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "Even with these resources, it often takes organizations a long time to write,review,and finalize clinical trial documents.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.08, 0.088, 0.482, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "As an illustration, a clinical trial protocol typically has 50-150 or more pages and can take 3-6 months or longer to prepare.2 A substan-tial proportion of this time is due to the writing and reviewing process, to ensure that the document achieves the high quality expected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.08, 0.088, 0.482, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "As a result, writing is one of the major rate-limiting steps in the development pro-cess.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.08, 0.088, 0.482, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "With pharmaceutical companies under pressure to accelerate tria$1\\mathrm {\\sim }^{3,4}$and to submit regulatory documents faster, there is strong interest across the industry in using new technologies and approaches to speed up trial-related writing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.08, 0.088, 0.482, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "In the past few years, large language models (LLMs), a new class of generative artificial intelligence algorithms, have advanced to a point where they can produce near-human-quality writing.5 Since the arrival of ChatGPT,6 the first widely used tool built on LLMs,there has been interest in using these algorithms in the context of clinical trials.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.08, 0.317, 0.482, 0.557]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "Examples include enhancing patient-trial matching,⁷ clinical trial planning,8 assisting in medical writing tasks, and others.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.08, 0.317, 0.482, 0.557]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "While it is early days for these efforts, we see signs of great potential but also challenges, such as accuracy and potential biases in the LLMs, as well as concerns about robust-ness and reproducibility.$.1011$To help address some of these questions, we describe a framework for document quality evaluation, and we report an analysis of LLMs in the context of clinical trial-related writing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.08, 0.317, 0.482, 0.557]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "Methods", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.5, 0.086, 0.579, 0.098]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 59, "edu_l1_label": "BOS"}, {"txt": "Our assessment focused on GPT-4, one of the leading LLMs available today12and utilizing it to generate key sections of clinical trial protocols.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.5, 0.112, 0.894, 0.123], [0.5, 0.127, 0.672, 0.132], [0.676, 0.13, 0.893, 0.139], [0.499, 0.146, 0.757, 0.152]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "The LLM output was subsequently assessed in terms of writing quality.Specifically we analyzed four dimensions: Clinical thinking and logic, which measures how closely recom-mendations from regulatory guidance documents were included in the generated section; Transparency and references, which verifies the presence and relevance of cited scientific sources in the generated text; Medical and clinical terminology, which assesses the use of appropriate jargon and scales of measurements;Content relevance and suitability, which measures,among others, whether the generated protocol section was specific to the disease and trial phase.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.757, 0.146, 0.895, 0.152], [0.5, 0.162, 0.895, 0.168], [0.499, 0.174, 0.895, 0.183], [0.5, 0.191, 0.895, 0.198], [0.5, 0.208, 0.894, 0.214], [0.499, 0.221, 0.896, 0.23], [0.499, 0.238, 0.895, 0.245], [0.499, 0.253, 0.895, 0.261], [0.499, 0.27, 0.895, 0.276], [0.499, 0.285, 0.893, 0.292], [0.5, 0.298, 0.894, 0.308], [0.499, 0.315, 0.893, 0.322], [0.5, 0.331, 0.801, 0.338]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "An overview of the methodology is given in Figure 1, and a full description of both the generation and evaluation pro-cess, including the criteria and requirements used,is provided in the Supplementary Information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.801, 0.331, 0.893, 0.338], [0.499, 0.346, 0.894, 0.353], [0.499, 0.36, 0.895, 0.368], [0.499, 0.378, 0.894, 0.384], [0.499, 0.393, 0.816, 0.399]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "Our analysis does not make direct comparisons between LLM-written text and fully human-written text.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.52, 0.406, 0.895, 0.414], [0.499, 0.421, 0.893, 0.429], [0.499, 0.438, 0.534, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "This is because, from our experience in the field,there is often substantial variability between individual human writers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.534, 0.438, 0.897, 0.446], [0.499, 0.453, 0.894, 0.46], [0.5, 0.467, 0.61, 0.475]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "It is therefore challenging to establish a single, objective “ground truth” to compare against.Our evaluation framework, with its four dimensions described above, addresses this challenge by breaking down the assessment into discrete sub-dimensions which can be assessed objectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.61, 0.467, 0.893, 0.476], [0.499, 0.485, 0.897, 0.492], [0.499, 0.497, 0.895, 0.507], [0.499, 0.513, 0.894, 0.523], [0.499, 0.528, 0.895, 0.537], [0.499, 0.545, 0.74, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.106, 0.594, 0.874, 0.699]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 7, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}, {"txt": "(c)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.107, 0.711, 0.128, 0.721]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.106, 0.724, 0.878, 0.863]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 9, "global_sentence_id": 68, "edu_l1_label": "EDU_O"}, {"txt": "Figure I. Overview of methodology and approach used in this analysis. (a) Typical use of off-the-shelf LLMs. (b) Retrieval-augmented generation (RAG) methodology for enhancing LLMs. (c) ClinEval methodology for assessing the output of large language models (LLMs). Further details are described in the \"Methods\" section and in the supplementary information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.081, 0.878, 0.888, 0.916]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.102, 0.049, 0.918, 0.062]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 70, "edu_l1_label": "EDU_O"}, {"txt": "Our assessment targeted two key sections of a clini-cal trial protocol document:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.124, 0.089, 0.499, 0.098], [0.103, 0.106, 0.311, 0.113]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": " the endpoints section and the eligibility criteria section.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.311, 0.106, 0.498, 0.113], [0.104, 0.12, 0.318, 0.128]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "Two LLM models were evaluated: off-the-shelf GPT-4 via its commercially available application programming interface,6,12used as a baseline; and a retrieval-augmented generation (RAG) GPT-4 as an alternative to the off-the-shelf ver-sion (see Figure 1(b)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.318, 0.12, 0.5, 0.128], [0.103, 0.137, 0.498, 0.144], [0.103, 0.152, 0.458, 0.154], [0.467, 0.152, 0.498, 0.159], [0.104, 0.168, 0.498, 0.174], [0.103, 0.181, 0.499, 0.188], [0.104, 0.198, 0.259, 0.204]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "RAG is a methodology for incor-porating knowledge from external databases,13 and involves providing the LLM with external sources of knowledge to supplement the model's internal represen-tation of information.14 The RAG-augmented LLM was configured as follows: based on a user input query below, an LLM-powered decision agent automatically decided which tools to use to fetch relevant context and feed it to an LLM for final summarization and docu-ment generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.259, 0.198, 0.5, 0.204], [0.104, 0.213, 0.499, 0.219], [0.104, 0.228, 0.5, 0.235], [0.103, 0.241, 0.5, 0.249], [0.104, 0.256, 0.495, 0.264], [0.104, 0.275, 0.497, 0.281], [0.105, 0.287, 0.499, 0.298], [0.103, 0.302, 0.498, 0.311], [0.104, 0.317, 0.5, 0.325], [0.104, 0.334, 0.232, 0.341]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "As described in more detail in the Supplementary Information, the following tools were utilized as part of the RAG-augmentation: vector store databases to access and analyze regulatory guidance documents; the clinicaltrials.gov AACT (Aggregate Analysis of Clinical Trials) database; SemanticsScholar connector to scrape scientific literature.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.232, 0.334, 0.499, 0.341], [0.104, 0.347, 0.499, 0.356], [0.104, 0.365, 0.499, 0.372], [0.103, 0.378, 0.499, 0.387], [0.103, 0.393, 0.5, 0.402], [0.104, 0.408, 0.5, 0.418], [0.103, 0.426, 0.385, 0.433]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "Both the off-the-shelf GPT-4 and RAG-augmented GPT-4 were prompted with a natural-language user query of the form “Write the {section} section of a Phase {phase} clinical trial protocol in {disease}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.125, 0.438, 0.499, 0.448], [0.103, 0.453, 0.5, 0.463], [0.104, 0.471, 0.499, 0.478], [0.105, 0.484, 0.453, 0.493]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "Focus on FDA guidance” where section, phase,and disease were customizable.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.453, 0.484, 0.499, 0.493], [0.103, 0.502, 0.5, 0.508], [0.105, 0.518, 0.244, 0.523]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "For each disease and trial phase,and for each model, five endpoints sections and five eligibility criteria sections were generated, with poten-tial differences between versions due to the stochastic nature of the underlying LLM models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.244, 0.518, 0.501, 0.525], [0.103, 0.532, 0.499, 0.538], [0.103, 0.547, 0.5, 0.554], [0.105, 0.561, 0.499, 0.569], [0.105, 0.577, 0.381, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "The evaluation process was strictly identical for both the off-the-shelf and RAG-augmented LLMs, and", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.125, 0.591, 0.499, 0.599], [0.103, 0.606, 0.498, 0.615]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "involved a combination of algorithmic and human expert-based scoring.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.52, 0.089, 0.915, 0.098], [0.52, 0.106, 0.672, 0.113]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "Briefly, the algorithmic assessment consisted in prompting GPT-4, used as an evaluator LLM, with the generated protocol section or an individ-ual section element (i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.672, 0.106, 0.915, 0.113], [0.52, 0.122, 0.916, 0.128], [0.521, 0.134, 0.915, 0.144], [0.521, 0.152, 0.688, 0.158]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "an endpoint or an eligibility cri-terion) and asking it to provide a binary score for each sub-dimension based on a specific list of requirements (detailed in Supplementary Table 2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.688, 0.152, 0.916, 0.157], [0.521, 0.166, 0.914, 0.174], [0.521, 0.182, 0.916, 0.188], [0.52, 0.195, 0.78, 0.203]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "For every protocol section that had been generated, metrics for each dimen-sion were then obtained as an average of the scores of the relevant sub-dimensions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.78, 0.195, 0.915, 0.203], [0.521, 0.213, 0.916, 0.219], [0.521, 0.227, 0.917, 0.234], [0.52, 0.241, 0.73, 0.249]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "Those requirements were developed in consultation with internal and external experts and aim to capture best human practices in clini-cal protocol writing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.73, 0.241, 0.916, 0.249], [0.52, 0.255, 0.915, 0.265], [0.52, 0.273, 0.915, 0.279], [0.521, 0.288, 0.665, 0.295]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "Each of the two models generated a total of 140document sections, which covered protocols for 14 dis-eases across different phases of clinical trials (see Supplementary Table 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.542, 0.3, 0.916, 0.31], [0.52, 0.316, 0.915, 0.322], [0.52, 0.334, 0.915, 0.34], [0.521, 0.346, 0.705, 0.355]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "The scores are presented as percentages which indicate the mean score achieved by the generated documents across all diseases and phases and section types.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.705, 0.346, 0.916, 0.355], [0.521, 0.365, 0.915, 0.373], [0.521, 0.377, 0.915, 0.386], [0.52, 0.394, 0.662, 0.401]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "Because of the non-deterministic nature of LLMs, we performed five repetitions for each query combination.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.662, 0.394, 0.916, 0.401], [0.521, 0.409, 0.914, 0.416], [0.521, 0.424, 0.662, 0.431]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "This approach mitigates the impact of inherent randomness in the model's responses.Statistical testswere performed to assess whether differ-ences in performance metrics between the two models were statistically significant.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.662, 0.424, 0.916, 0.431], [0.521, 0.44, 0.918, 0.446], [0.521, 0.452, 0.915, 0.46], [0.52, 0.47, 0.916, 0.476], [0.521, 0.485, 0.72, 0.492]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.521, 0.52, 0.588, 0.531]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 89, "edu_l1_label": "BOS"}, {"txt": "An overview of the result of our assessment is shown in Figure 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.518, 0.544, 0.919, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "Overall, we find that the off-the shelf LLM delivers reasonable results, specifically good content relevance anid suitability (assessment score$>80\\%)$,and excellent medical and clinical terminology $(>99\\%),$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.518, 0.544, 0.919, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.123, 0.644, 0.897, 0.894]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 9, "global_sentence_id": 92, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2. Comparison of off-the-shelf LLM and RAG-augmented LLM. Further information is described in the \"Methods\" section and supplementary information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.102, 0.909, 0.9, 0.933]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 93, "edu_l1_label": "EDU_O"}, {"txt": "*Difference statistically significant", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.104, 0.936, 0.286, 0.945]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 94, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.081, 0.049, 0.896, 0.062]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 95, "edu_l1_label": "EDU_O"}, {"txt": "meaning that the results from the first pass of the LLM are deemed correct and appropriate for the vast major-ity of the protocol sections written.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.082, 0.092, 0.474, 0.099], [0.081, 0.106, 0.479, 0.113], [0.086, 0.121, 0.339, 0.128]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "However, for clini-cal thinking and logic, the off-the-shelf LLM scores poorly (assessment score just over 40%),meaning that recommendations from the off-the-shelf LLM often do not follow the latest regulatory guidance or contain other errors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.339, 0.121, 0.478, 0.128], [0.082, 0.139, 0.478, 0.144], [0.082, 0.153, 0.374, 0.159], [0.374, 0.157, 0.478, 0.159], [0.082, 0.168, 0.478, 0.174], [0.082, 0.183, 0.477, 0.189], [0.082, 0.198, 0.175, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "Since the LLM used for this analysis6 does not natively source references, assessing transparency and references is not possible (therefore, no score for this dimension).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.175, 0.198, 0.478, 0.205], [0.082, 0.213, 0.474, 0.221], [0.082, 0.229, 0.479, 0.235], [0.082, 0.242, 0.196, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "As an illustrative example when we asked the algo-rithm to draft a Phase 3 protocol for tuberculosis the off-the-shelf LLM suggested in the eligibility section to exclude patients with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome,diabetes,liver disease, and kidney disease.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.103, 0.257, 0.476, 0.264], [0.083, 0.273, 0.478, 0.281], [0.082, 0.29, 0.477, 0.296], [0.081, 0.305, 0.474, 0.311], [0.082, 0.318, 0.48, 0.328], [0.083, 0.334, 0.33, 0.342]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "This contrasts with regulatory guidance documents which state that “Sponsors should include in trials [...], subjects with renal insufficiency, diabetes mellitus, and subjects with hepatic impairment, if feasible.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.33, 0.334, 0.477, 0.342], [0.082, 0.351, 0.478, 0.357], [0.083, 0.363, 0.478, 0.373], [0.082, 0.382, 0.478, 0.388], [0.083, 0.395, 0.319, 0.403]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "Because of the high incidence of tuberculosis in patients coinfected with HIV, subjects with HIV should be included in trials.15", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.319, 0.395, 0.477, 0.404], [0.082, 0.412, 0.476, 0.418], [0.083, 0.424, 0.474, 0.429]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "The output of the RAG-augmented LLM (Figure 2)shows high content relevance and suitability and medical and clinical terminology, comparable to the off-the-shelf LLM.However, the RAG-augmented LLM substan-tially outperforms the off-the-shelf LLM in terms of clinical thinking and logic, where the output of the RAG-augmented LLM scores approximately twice as high as the off-the-shelf LLM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.103, 0.44, 0.479, 0.45], [0.081, 0.457, 0.479, 0.465], [0.082, 0.474, 0.479, 0.479], [0.082, 0.486, 0.479, 0.495], [0.083, 0.502, 0.479, 0.509], [0.082, 0.518, 0.478, 0.526], [0.084, 0.532, 0.478, 0.541], [0.083, 0.547, 0.306, 0.555]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "Regarding transparency and references, the RAG-augmented LLM (by design)includes references, which we show to be correct and appropriate nearly 80% of the time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.306, 0.547, 0.474, 0.557], [0.082, 0.565, 0.478, 0.571], [0.082, 0.579, 0.476, 0.587], [0.082, 0.595, 0.34, 0.601]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "As detailed in Supplementary Table 2, those trends were similar across different protocol sections, with a marked improvement in clinical thinking and logic, and similar scores in medical and clinical terminology and content relevance and suitability (the difference in scores for endpoints was not statistically significant).Transparency and references scores of the RAG-aug-mented LLM were comparable for both protocol sec-tions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.103, 0.608, 0.479, 0.617], [0.082, 0.625, 0.477, 0.632], [0.082, 0.641, 0.476, 0.648], [0.082, 0.656, 0.477, 0.663], [0.082, 0.672, 0.477, 0.678], [0.083, 0.686, 0.48, 0.697], [0.085, 0.7, 0.479, 0.706], [0.083, 0.717, 0.476, 0.724], [0.082, 0.732, 0.127, 0.739]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "Please note that if Bonferroni correction is applied (to account for multiple comparisons), only those related to clinical thinking and logic survive.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.127, 0.732, 0.478, 0.739], [0.082, 0.747, 0.476, 0.754], [0.082, 0.763, 0.453, 0.77]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "On that dimension, we observed a large difference between off-the shelf LLM and RAG-augmented LLM for the endpoints section (score uplift from ~50% to ~73%)and even more pronounced for the eligibility criteria section (score uplift from ~33% to~86%).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.453, 0.763, 0.478, 0.77], [0.082, 0.776, 0.478, 0.785], [0.082, 0.793, 0.478, 0.8], [0.082, 0.809, 0.479, 0.816], [0.082, 0.825, 0.478, 0.831], [0.082, 0.839, 0.395, 0.846]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "Discussion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.082, 0.879, 0.18, 0.89]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 107, "edu_l1_label": "BOS"}, {"txt": "Across both endpoints and eligibility criteria sections,we find that the off-the-shelf LLM produces seemingly well-written content, as reflected by high scores in", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.082, 0.904, 0.48, 0.914], [0.082, 0.923, 0.476, 0.929], [0.083, 0.938, 0.477, 0.945]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "content relevance and suitability and medical and clini-cal terminology.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.499, 0.092, 0.893, 0.098], [0.499, 0.106, 0.62, 0.113]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "Closer investigation of the protocol's specifics, however, reveals important deviations from regulatory guidance (such as the above shown exam-ple), captured by low clinical thinking and logic scores.Given the critical importance of following regulation,our findings could present a challenge to the use of some off-the-shelf LLMs in the context of clinical trials and may limit their adoption in trial-related document writing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.62, 0.106, 0.894, 0.113], [0.499, 0.122, 0.891, 0.128], [0.499, 0.137, 0.895, 0.143], [0.499, 0.152, 0.896, 0.158], [0.5, 0.165, 0.895, 0.174], [0.499, 0.182, 0.895, 0.188], [0.498, 0.196, 0.895, 0.203], [0.499, 0.212, 0.895, 0.219], [0.5, 0.228, 0.556, 0.234]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "Another major limitation of some off-the-shelf LLMs is their lack of proper referencing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.556, 0.228, 0.896, 0.234], [0.5, 0.239, 0.791, 0.249]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "To address these challenges, we explored alternative approaches of using LLMs, specifically RAG which has emerged as a promising methodology for incorpor-ating knowledge from external databases.13,14 RAG involves providing the LLM with external sources of knowledge, to supplement the model's internal repre-sentation of information.14 Asa result of the RAG methodology, the LLM is primarily used not for its memorized knowledge, but instead for its ability to read,synthesize,and evaluate information provided to it.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.52, 0.255, 0.894, 0.264], [0.498, 0.273, 0.892, 0.279], [0.499, 0.287, 0.894, 0.293], [0.499, 0.303, 0.846, 0.304], [0.856, 0.3, 0.893, 0.31], [0.499, 0.317, 0.895, 0.325], [0.499, 0.331, 0.894, 0.339], [0.499, 0.349, 0.727, 0.355], [0.736, 0.349, 0.893, 0.355], [0.5, 0.363, 0.894, 0.37], [0.5, 0.379, 0.894, 0.385], [0.499, 0.394, 0.894, 0.4], [0.499, 0.408, 0.516, 0.416]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "In our assessment, the use of RAG augmentation produced high scores for both clinical thinking and logic and for transparency and references, demonstrating the strength of LLMs and their ability to go beyond writ-ing tasks and reason on novel information provided via RAG.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.52, 0.421, 0.894, 0.43], [0.499, 0.439, 0.894, 0.446], [0.499, 0.454, 0.894, 0.461], [0.498, 0.469, 0.894, 0.473], [0.5, 0.484, 0.893, 0.491], [0.499, 0.499, 0.576, 0.506]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "The improvement obtained by the RAG-augmented LLM for clinical thinking and logic wwas particularly high for eligibility criteria.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.576, 0.499, 0.894, 0.506], [0.499, 0.514, 0.894, 0.521], [0.5, 0.53, 0.793, 0.536]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "This demon-strates the remarkable ability of RAG-augmented LLMs to exploit vector store databases to find relevant pieces of information within large and complex source documents.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.793, 0.53, 0.894, 0.537], [0.499, 0.545, 0.893, 0.551], [0.5, 0.557, 0.895, 0.566], [0.5, 0.576, 0.894, 0.582], [0.499, 0.588, 0.581, 0.597]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "While the results shown in Figure 2 are intriguing,it is important to acknowledge a number of limitations of this work:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.52, 0.603, 0.893, 0.612], [0.5, 0.619, 0.895, 0.627], [0.499, 0.634, 0.573, 0.642]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": " First, the evaluation framework we report is a mixture of quantitative scores (clinical thinking and logic; and transparency and references) and qualita-tive scores (medical and clinical terminology; and content relevance and suitability).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.573, 0.634, 0.894, 0.642], [0.499, 0.651, 0.894, 0.658], [0.499, 0.666, 0.894, 0.671], [0.499, 0.679, 0.894, 0.687], [0.499, 0.696, 0.744, 0.702]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "The framework thus addresses-at least in part-one of the challenges of assessing clinical trial-related writing,namely, the lack of an objective \"ground truth.”Going forward,it may be helpful to evolve our framework and make it fully quantitative.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.744, 0.696, 0.895, 0.703], [0.499, 0.711, 0.895, 0.717], [0.499, 0.727, 0.893, 0.733], [0.5, 0.741, 0.894, 0.75], [0.5, 0.754, 0.893, 0.766], [0.499, 0.771, 0.593, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "Second, the evaluation framework is,by design, relatively general.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.593, 0.771, 0.894, 0.781], [0.5, 0.784, 0.682, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "In our analysis, we cover spe-cific diseases and trial phases but did not tailor it to particular treatments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.682, 0.784, 0.894, 0.793], [0.499, 0.801, 0.893, 0.808], [0.5, 0.817, 0.658, 0.823]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "In practice, this means that the RAG-augmented LLM approach can generate high-quality first draft versions of documents, which would then require further refinement to align with the treat-ment or therapy being studied.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.658, 0.817, 0.894, 0.824], [0.5, 0.829, 0.894, 0.839], [0.499, 0.848, 0.893, 0.853], [0.499, 0.861, 0.894, 0.866], [0.5, 0.877, 0.73, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "Third, the assessment we report evaluates document sections independently of one another.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.73, 0.877, 0.894, 0.884], [0.5, 0.892, 0.893, 0.901], [0.499, 0.907, 0.615, 0.914]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "As a result, it does not capture inter-relationships across the full document.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.615, 0.907, 0.893, 0.913], [0.499, 0.923, 0.788, 0.929]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "This could be important in complex diseases where the endpoints", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.788, 0.923, 0.894, 0.929], [0.499, 0.935, 0.893, 0.945]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.049, 0.918, 0.062]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "should depend on the target group, defined by eligibil-ity criteria.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "In such situations, LLM-based writing approaches would be most valuable if they were able to jointly generate and evaluate endpoints and eligibility criteria.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "One recent approach for this could be to use agent self-reflection,$16$iterating on all protocol sections.Fourth, our assessment looks at only one LLM,namely, GPT-4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "This was motivated by the model's popularity and widespread use today.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Going forward,additional LLMs (such as Claude 3 Opus¹7)will need to be studied for comparison.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "Given the recent progress in the field, we expect newer LLMs to have improved performance characteristics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.102, 0.089, 0.503, 0.282]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "In summary, our results suggest that hybrid LLM architectures such as agent-based RAG methodology we used offer strong potential for GenAl-powered clini-cal trial-related writing, covering potentially a wide variety of documents.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "This is exciting, since it addresses several major bottlenecks of drug development.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "Indeed,when we applied the RAG-augmented LLM approach in the context of recent clinical trials, we observed dra-matic acceleration.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "For writing tasks, such as protocols or clinical study reports, the time to generate first draft versions of documents is typically reduced from days or weeks (in the case of fully-human writing), to min-utes (when uusing a RAG-augmented LLM).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "For the end-to-end document creation process, which normally consists of multiple cycles of writing and review,we observe time reductions of $25\\%-50\\%$ or more, depend-ing on which document is being created.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "The reason why the time reduction of the end-to-end process is somewhat smaller than for writing alone is because review by human experts is always required.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.101, 0.283, 0.503, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "Beyond the writing abilities of LLMs in clinical trials,which our work demonstrates, there are a num-ber of practical1 considerations which pharmaceutical companies and other trial sponsors will need to address.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.126, 0.588, 0.499, 0.597], [0.103, 0.605, 0.499, 0.612], [0.104, 0.618, 0.499, 0.627], [0.103, 0.635, 0.498, 0.642], [0.103, 0.65, 0.165, 0.657]]}]}, "tags": ["text"], "label": "content", 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US FDA and other agen-cies have outlined their plans to regulate artificial intel-ligence in medical products, including building relevant infrastructure and technical expertise.18 As the regula-tory framework evolves, sponsors of clinical trials will likely need to adapt their LLM and other tools in clini-cal trial writing and other processes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.283, 0.787, 0.499, 0.793], [0.103, 0.802, 0.5, 0.808], [0.105, 0.814, 0.499, 0.824], [0.103, 0.832, 0.499, 0.838], [0.104, 0.846, 0.5, 0.854], [0.104, 0.86, 0.5, 0.868], [0.103, 0.877, 0.378, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "Third, there are talent and capability considerations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.378, 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{"txt": "jointly authored by major pharmaceutical companies,0highlights talent as a major challenge for the industry.Fourth, there are questions regarding technical readi-ness.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.521, 0.089, 0.914, 0.101], [0.906, 0.101, 0.912, 0.107], [0.521, 0.104, 0.904, 0.113], [0.521, 0.119, 0.916, 0.128], [0.521, 0.138, 0.557, 0.144]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "In recent years, many pharmaceutical companies and other trial sponsors have made major investments in their data analytics platforms and in data partner-ships.19 However, from the work reported here, we learned that configuring these technologies, and ingest-ing, integrating, and analyzing the required data sources is often challenging.", "language": "english", "position": {"pdf_position": [{"page_number": 0, 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between medical writers,clinical researchers, data scientists, and data engineers.Organizations that achieve this cross-functional colla-boration are already beginning to reap significant accel-eration gains.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.733, 0.289, 0.915, 0.298], [0.521, 0.305, 0.915, 0.312], [0.52, 0.319, 0.916, 0.327], [0.521, 0.333, 0.916, 0.343], [0.521, 0.349, 0.914, 0.357], [0.52, 0.366, 0.62, 0.373]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "Going forward, we expect these benefits to increase even further.Over time, we therefore expect that sponsors of clinical trials will adopt the LLM tech-nology in their clinical and other writing tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.62, 0.366, 0.917, 0.373], 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# From RAGs to riches: Utilizing large language models to write documents for clinical trials ## Background and aims ## Methods ## Results ## Discussion