Update README.md

README.md

@@ -4,7 +4,7 @@
 
 # Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
 
-**[Paper](), [Project Page](https://research.nvidia.com/labs/toronto-ai/lyra/)**
+**[Paper](https://arxiv.org/abs/2509.19296), [Project Page](https://research.nvidia.com/labs/toronto-ai/lyra/)**
 
 [Sherwin Bahmani](https://sherwinbahmani.github.io/),
 [Tianchang Shen](https://www.cs.toronto.edu/~shenti11/),
@@ -172,10 +172,12 @@ Model and dataset restrictions:            |  The Principle of least privilege (
 
 ## Citation
 ```
- @inproceedings{bahmani2025lyra,
-    title={Lyra: Generative 3D Scene Reconstruction via Self-Distillation with Video Diffusion Models},
-    author={Bahmani, Sherwin and Shen, Tianchang and Ren, Jiawei and Huang, Jiahui and Jiang, Yifeng and Turki, Haithem and Tagliasacchi, Andrea and Lindell, David B. and Gojcic, Zan and Fidler, Sanja and Ling, Huan and Gao, Jun and Ren, Xuanchi},
-    booktitle={arXiv 2025},
-    year={2025}
+@inproceedings{bahmani2025lyra,
+   title={Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation},
+   author={Bahmani, Sherwin and Shen, Tianchang and Ren, Jiawei and Huang, Jiahui and Jiang, Yifeng and 
+            Turki, Haithem and Tagliasacchi, Andrea and Lindell, David B. and Gojcic, Zan and Fidler, Sanja and 
+            Ling, Huan and Gao, Jun and Ren, Xuanchi},
+   booktitle={arXiv preprint arXiv:2509.19296},
+   year={2025}
 }
 ```