Update README.md

README.md

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 # A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
 
+[Paper](https://huggingface.co/papers/2512.21332) | [Code](https://github.com/codefuse-ai/CodeFuse-Embeddings)
+
 **C2LLMs (Code Contrastive Large Language Models)** are powerful new models for generating code embeddings, designed to capture the deep semantics of source code. 
 
 #### Key Features
@@ -154,6 +156,16 @@ If you find this project helpful, please give it a star. It means a lot to us!
 
 [![GitHub stars](https://img.shields.io/github/stars/codefuse-ai/CodeFuse-Embeddings?style=social)](https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main)
 
-## Correspondence to 
-
-Jin Qin (qj431428@antgroup.com), Zihan Liao ([email protected]), Ziyin Zhang ([email protected]), Hang Yu ([email protected]), Peng Di ([email protected])
+## Citation
+
+@article{2025C2LLM,
+  title={C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling}, 
+      author={Jin Qin and Zihan Liao and Ziyin Zhang and Hang Yu and Peng Di and Rui Wang},
+  journal      = {CoRR},
+  volume       = {abs/2512.21332},
+  year         = {2025},
+  url          = {https://doi.org/10.48550/arXiv.2512.21332},
+  doi          = {10.48550/ARXIV.2512.21332},
+  eprinttype    = {arXiv},
+  eprint       = {2512.21332}
+}