Update README.md

README.md

@@ -15,7 +15,7 @@ pipeline_tag: text-generation
   <img src="prox-teaser.png">
 </p>
 
-[ArXiv](http://arxiv.org/abs/xxxx) | [Data: OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) | [Code](https://github.com/GAIR-NLP/program-every-example)
+[ArXiv](http://arxiv.org/abs/2409.17115) | [Data: OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) | [Code](https://github.com/GAIR-NLP/program-every-example)
 
 **Mistral-7B-ProXMath** is a math-adapted Mistral-7B-v0.1 model that is continually pre-trained on [OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) (a refined version by ProX) for **10**B tokens.
 
@@ -33,6 +33,10 @@ ProX models are evaluated on 9 common math reasoning benchmarks.
 
 ### Citation
 ```
-@misc{TBD
+@article{zhou2024programming,
+  title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
+  author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
+  journal={arXiv preprint arXiv:2409.17115},
+  year={2024}
 }
 ```