Upload README.md

README.md

@@ -1,7 +1,7 @@
 # TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders
 
 <p align="center">
-    <a href=""><img src="https://img.shields.io/badge/Paper-Arxiv-b31b1b.svg" alt="arXiv"></a>&nbsp;
+    <a href="https://arxiv.org/abs/2604.07340"><img src="https://img.shields.io/badge/Paper-Arxiv-b31b1b.svg" alt="arXiv"></a>&nbsp;
     <a href="https://huggingface.co/inclusionAI/TC-AE/tree/main"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Models-yellow" alt="Models"></a>
 </p>
 <div align="center">
@@ -20,6 +20,7 @@
 
 
 
+
 ## News
 
 - [2026/04/09] Research paper, code, and models are released for TC-AE!
@@ -163,5 +164,10 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
 ## Citation
 
 ```
-
+@article{li2026tcae,
+  title={TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders},
+  author={Li, Teng and Huang, Ziyuan and Chen, Cong and Li, Yangfu and Lyu, Yuanhuiyi and Zheng, Dandan and Shen, Chunhua and Zhang, Jun},
+  journal={arXiv preprint arXiv:2604.07340},
+  year={2026}
+}
 ```