Update README.md

README.md

@@ -34,7 +34,12 @@ We introduce **RLAnything**, a reinforcement learning framework forges environme
 # Citation
 
 ```
-
+@article{wang2026rlanything,
+  title={RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System},
+  author={Wang, Yinjie and Xie, Tianbao and Shen, Ke and Wang, Mengdi and Yang, Ling},
+  journal={arXiv preprint arXiv:2602.02488},
+  year={2026}
+}
 ```