add paper link

README.md

@@ -1,6 +1,6 @@
 # ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
 
-[![Paper](https://img.shields.io/badge/ArXiv-Paper-brown)](https://arxiv.org/abs/xxx)
+[![Paper](https://img.shields.io/badge/ArXiv-Paper-brown)](https://arxiv.org/abs/2511.21689)
 [![Code](https://img.shields.io/badge/GitHub-Link-orange)](https://github.com/NVlabs/ToolOrchestra/)
 [![Model](https://img.shields.io/badge/HuggingFace-Model-green)](https://huggingface.co/nvidia/Orchestrator-8B)
 [![Data](https://img.shields.io/badge/HuggingFace-Data-blue)](https://huggingface.co/datasets/nvidia/ToolScale)
@@ -76,12 +76,12 @@ Please report model quality, risk, security vulnerabilities or NVIDIA AI Concern
 
 
 ### Citation
-If you find this model useful, please cite our [paper](https://arxiv.org/abs/xxx):
+If you find this model useful, please cite our [paper](https://arxiv.org/abs/2511.21689):
 ```
 @article{toolorchestra,
   title={ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration},
   author={Su, Hongjin and Diao, Shizhe and Lu, Ximing and Liu, Mingjie and Xu, Jiacheng and Dong, Xin and Fu, Yonggan and Belcak, Peter and Ye, Hanrong and Yin, Hongxu and Dong, Yi and Bakhturina, Evelina and Yu, Tao and Choi, Yejin and Kautz, Jan and Molchanov, Pavlo}
-  journal={arXiv preprint arXiv:XXXX},
+  journal={arXiv preprint arXiv:2511.21689},
   year={2025}
 }
 ```