fixes broken link to arxiv paper

README.md

@@ -14,8 +14,8 @@ inference: false
 
 SmolVLA is a compact, efficient Vision-Language-Action (VLA) model designed for affordable robotics, trainable on a single GPU and deployable on consumer hardware, while matching the performance of much larger VLAs through community-driven data.
 
-**Original paper:** (SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics)[https://arxiv.org/abs/2506.01844]
-**Reference implementation:** https://github.com/huggingface/lerobot
+- **Original paper:** (SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics)[https://arxiv.org/abs/2506.01844]
+- **Reference implementation:** https://github.com/huggingface/lerobot
 
 
 ## Model description