Update README.md

README.md

@@ -33,7 +33,7 @@ size_categories:
 
 > **WalkGPT: Grounded Vision–Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation**  
 > *(Accepted at CVPR 2026)*  
-> Paper link: *(Coming soon)*
+> Paper link: https://arxiv.org/abs/2603.10703
 
 PAVE is a spatially grounded VQA benchmark for accessibility-aware reasoning in real-world pedestrian environments, 
 unifying language understanding, pixel-level grounding, and depth-aware navigation guidance.
@@ -170,9 +170,12 @@ SANPO images are governed by their original license.
 If you use PAVE, please cite:
 
 ```bibtex
-@inproceedings{walkgpt2026,
-  title={WalkGPT: Grounded Vision–Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation},
-  author={Rafi Ibn Sultan, Hui Zhu, Xiangyu Zhou, Chengyin Li, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu},
-  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-  year={2026}
+@misc{sultan2026walkgptgroundedvisionlanguageconversation,
+      title={WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation}, 
+      author={Rafi Ibn Sultan and Hui Zhu and Xiangyu Zhou and Chengyin Li and Prashant Khanduri and Marco Brocanelli and Dongxiao Zhu},
+      year={2026},
+      eprint={2603.10703},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2603.10703}, 
 }