Update README.md

README.md

@@ -2,7 +2,7 @@
 
 <h1>Demystifying Reinforcement Learning in Agentic Reasoning<h1>
 
-<p align="center">   <a href="https://arxiv.org/abs/2509.06949">     <img src="https://img.shields.io/badge/Paper-Arxiv-red?logo=arxiv&logoColor=red" alt="Paper on arXiv"/>   </a>   <a href="https://github.com/Gen-Verse/Open-AgentRL">     <img src="https://img.shields.io/badge/Open--AgentRL-GitHub-black?logo=github&logoColor=white" alt="Open-AgentRL on GitHub"/>   </a>   <a href="https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-30K">     <img src="https://img.shields.io/badge/30K_RL_Dataset-Hugging%20Face-orange?logo=huggingface&logoColor=yellow" alt="30K RL Dataset"/>   </a>   <a href="https://huggingface.co/Gen-Verse/DemyAgent-4B">     <img src="https://img.shields.io/badge/DemyAgent--4B-Hugging%20Face-FFCC00?logo=huggingface&logoColor=yellow" alt="DemyAgent-4B Model"/>   </a> </p> </div>
+<p align="center">   <a href="https://arxiv.org/abs/2510.11701">     <img src="https://img.shields.io/badge/Paper-Arxiv-red?logo=arxiv&logoColor=red" alt="Paper on arXiv"/>   </a>   <a href="https://github.com/Gen-Verse/Open-AgentRL">     <img src="https://img.shields.io/badge/Open--AgentRL-GitHub-black?logo=github&logoColor=white" alt="Open-AgentRL on GitHub"/>   </a>   <a href="https://huggingface.co/datasets/Gen-Verse/Open-AgentRL-30K">     <img src="https://img.shields.io/badge/30K_RL_Dataset-Hugging%20Face-orange?logo=huggingface&logoColor=yellow" alt="30K RL Dataset"/>   </a>   <a href="https://huggingface.co/Gen-Verse/DemyAgent-4B">     <img src="https://img.shields.io/badge/DemyAgent--4B-Hugging%20Face-FFCC00?logo=huggingface&logoColor=yellow" alt="DemyAgent-4B Model"/>   </a> </p> </div>
 
 ## 🎯 About This Repository
 This repository contains the **DemyAgent-4B** model weights, a 4B-sized agentic reasoning model that achieves **state-of-the-art performance** on challenging benchmarks including AIME2024/2025, GPQA-Diamond, and LiveCodeBench-v6.
@@ -55,9 +55,9 @@ We evaluate our models on challenging benchmarks spanning mathematics, science,
 ## 📝 Citation
 ```bibtex
 @article{yu2025demystify,
-  author    = {Zhaochen Yu and Ling Yang and Jiaru Zou and Shuicheng Yan and Mengdi Wang},
-  title     = {Demystifying Reinforcement Learning in Agentic Reasoning},
-  year      = {2025},
-  journal   = {arXiv preprint},
+  title={Demystifying Reinforcement Learning in Agentic Reasoning},
+  author={Yu, Zhaochen and Yang, Ling and Zou, Jiaru and Yan, Shuicheng and Wang, Mengdi},
+  journal={arXiv preprint arXiv:2510.11701},
+  year={2025}
 }
 ```