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README.md

@@ -16,8 +16,8 @@ library_name: transformers
 # AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling
 
 <p align="left">
-<a href="https://arxiv.org/abs/2510.xxxxx">
-  <img src="https://img.shields.io/badge/arXiv-2510.xxxxx-b31b1b?logo=arxiv&logoColor=white&labelColor=555555" />
+<a href="https://arxiv.org/abs/2510.07318">
+  <img src="https://img.shields.io/badge/arXiv-2510.07318-b31b1b?logo=arxiv&logoColor=white&labelColor=555555" />
 </a>
 <a href="https://github.com/ByteDance-Seed/AHN">
   <img src="https://img.shields.io/badge/GitHub-AHN-181717?logo=github&logoColor=white&labelColor=555555" />
@@ -76,7 +76,7 @@ This repository hosts the model weights for AHN. For installation, usage instruc
 @article{fang2025artificial,
   title={Artificial hippocampus networks for efficient long-context modeling},
   author={Fang, Yunhao and Yu, Weihao and Zhong, Shu and Ye, Qinghao and Xiong, Xuehan and Wei, Lai},
-  journal={arXiv preprint arXiv:2510.xxxxx},
+  journal={arXiv preprint arXiv:2510.07318},
   year={2025}
 }
 ```