Add task categories and links to paper/project page

README.md

@@ -1,17 +1,21 @@
 ---
-pretty_name: VisPhyBench
-license: mit
 language:
-  - en
+- en
+license: mit
+pretty_name: VisPhyBench
+task_categories:
+- video-text-to-text
 ---
 
 # VisPhyBench
 
+[**Project Page**](https://tiger-ai-lab.github.io/VisPhyWorld/) | [**Paper**](https://huggingface.co/papers/2602.13294) | [**GitHub**](https://github.com/TIGER-AI-Lab/VisPhyWorld)
+
 To evaluate how well models reconstruct appearance and reproduce physically plausible motion, we introduce VisPhyBench, a unified evaluation protocol comprising 209 scenes derived from 108 physical templates that assesses physical understanding through the lens of code-driven resimulation in both 2D and 3D scenes, integrating metrics from different aspects. Each scene is also annotated with a coarse difficulty label (easy/medium/hard).
 
 # Dataset Details
 
-- **Created by:** Jiarong Liang
+- **Created by:** Jiarong Liang, Max Ku, Ka-Hei Hui, Ping Nie, Wenhu Chen
 - **Language(s) (NLP):** English
 - **License:** MIT
 - **Repository:** `https://github.com/TIGER-AI-Lab/VisPhyWorld`
@@ -56,12 +60,13 @@ These fields specify object locations and attributes precisely, which helps an L
 # BibTeX
 
 ```bibtex
-@misc{visphybench2026,
-  title        = {VisPhyBench},
-  author       = {Liang, Jiarong and Ku, Max and Hui, Ka-Hei and Nie, Ping and Chen, Wenhu},
-  howpublished = {GitHub repository},
-  year         = {2026},
-  url          = {https://github.com/TIGER-AI-Lab/VisPhyWorld}
+@misc{liang2026visphyworld,
+  title={VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction}, 
+  author={Jiarong Liang and Max Ku and Ka-Hei Hui and Ping Nie and Wenhu Chen},
+  year={2026},
+  eprint={2602.13294},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
+  url={https://arxiv.org/abs/2602.13294}, 
 }
-```
-
+```