Update paper link and add project page

README.md

@@ -1,7 +1,9 @@
 ---
-license: cc-by-nc-4.0
 language:
 - en
+license: cc-by-nc-4.0
+size_categories:
+- n<1K
 task_categories:
 - question-answering
 tags:
@@ -10,8 +12,6 @@ tags:
 - social-reasoning
 - mental-state
 - multimodal
-size_categories:
-- n<1K
 configs:
 - config_name: text
   data_files:
@@ -33,8 +33,9 @@ Menti-Bench is a manually constructed, quality-controlled benchmark of **situate
 
 Each instance presents a short story (text, an image sequence, or a sounding video), a designated target agent, a question about the target's next action, and six candidate actions. The correct action follows from the target's *partial* view of the scene, so distractor options are typically plausible under the global state but inconsistent with what the target can perceive, know, or socially do.
 
-- Paper: *Mental World Modeling* ([arXiv:XXXX.XXXXX])
-- Code (Mentis baseline system): **https://github.com/mental-world/mentis**
+- Paper: *Mental World Modeling* ([Hugging Face Papers](https://huggingface.co/papers/2607.27201))
+- Project page: [https://mental-world.github.io/](https://mental-world.github.io/)
+- Code (Mentis baseline system): [https://github.com/mental-world/Mentis](https://github.com/mental-world/Mentis)
 
 ## Composition
 
@@ -108,8 +109,8 @@ Released under **CC BY-NC 4.0** for non-commercial research use. Please do not u
 ```bibtex
 @article{mwm2026,
   title   = {Mental World Modeling},
-  author  = {[AUTHORS]},
-  journal = {arXiv preprint arXiv:[XXXX.XXXXX]},
+  author  = {Fei, Hao and Zhao, Yiran},
+  journal = {arXiv preprint arXiv:2607.27201},
   year    = {2026}
 }
-```
+```