Add task category and formal links to paper and code

README.md

@@ -1,19 +1,23 @@
 ---
-license: cc-by-4.0
 language:
 - en
+license: cc-by-4.0
+size_categories:
+- 1K<n<10K
+task_categories:
+- video-text-to-text
 tags:
 - video
 - multimodal
 - benchmark
 - video-question-answering
 - visual-state-tracking
-size_categories:
-- 1K<n<10K
 ---
 
 # VSTAT: Visual State Tracking Benchmark
 
+[**Project Page**](https://vision-x-nyu.github.io/vstat-site/) | [**Paper**](https://huggingface.co/papers/2606.03920) | [**Code**](https://github.com/vision-x-nyu/vstat)
+
 VSTAT is a video-based benchmark for evaluating the **visual state tracking**
 capability of Multimodal Large Language Models (MLLMs). It contains 834 video
 clips paired with 1,500 questions whose answers cannot be inferred from any
@@ -206,4 +210,4 @@ Each question is annotated with:
     year={2026},
     journal={arXiv preprint arXiv:2606.03920},
 }
-```
+```