Update README

README.md

@@ -20,13 +20,14 @@ base_model:
 </p>
 
 <p align="center">
-  <a href="TODO" target="_blank"><img src="https://img.shields.io/badge/Paper-b5212f.svg?logo=arxiv" height="22px"></a>
+  <a href="https://arxiv.org/abs/2606.06042" target="_blank"><img src="https://img.shields.io/badge/Paper-b5212f.svg?logo=arxiv" height="22px"></a>
   <a href="https://github.com/MSALab-PKU/LoomVideo" target="_blank"><img src="https://img.shields.io/badge/GitHub-bb8a2e.svg?logo=github" height="22px"></a>
   <a href="https://msalab-pku.github.io/projects/LoomVideo/index.html" target="_blank"><img src="https://img.shields.io/badge/Project%20Page-333399.svg?logo=homepage" height="22px"></a>
 </p>
 
 # 🔥 News
 
+- [2026-06-05] We release LoomVideo [paper](https://arxiv.org/abs/2606.06042) on Arxiv!
 - [2026-06-02] We release the [codebase](https://github.com/MSALab-PKU/LoomVideo) and [model weights](https://huggingface.co/MSALab/LoomVideo) of LoomVideo!
 - [2026-06-02] We release the [project page](https://msalab-pku.github.io/projects/LoomVideo/index.html) of LoomVideo!
 
@@ -97,6 +98,8 @@ python hf_download.py
 
 You can also specify a custom path via the `--ckpt_path` argument at inference time.
 
+> 💡 Stage 3 model weights are now available. Higher-performance post-trained weights will be released as soon as possible!
+
 # 🎬 Inference
 LoomVideo provides a unified inference script that supports **four generation tasks** through a single entry point. Each task is selected via the `--task` flag.
 
@@ -515,4 +518,13 @@ Jianzong Wu (吴健宗): jzwu@stu.pku.edu.cn
 
 # 📄 Citation
 
-*TODO*
+If you find our work helpful, please consider giving us a ⭐ on this repo and citing our paper as follows:
+
+```bibtex
+@article{wu2026loomvideo,
+  title={LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing},
+  author={Wu, Jianzong and Lian, Hao and Yang, Jiongfan and Hao, Dachao and Tian, Ye and Tong, Yunhai and Zhu, Jingyuan and Chen, Biaolong and Qi, Qiaosong and Zhang, Aixi and He, Wanggui and Liu, Mushui and Jiang, Hao},
+  journal={arXiv preprint arXiv:2606.06042},
+  year={2026}
+}
+```