Update README.md

README.md

@@ -11,7 +11,8 @@ base_model:
 
 **qqWen-7B-RL** is a 7-billion parameter language model specifically designed for advanced reasoning and code generation in the Q programming language. Built upon the robust Qwen 2.5 architecture, this model has undergone a comprehensive three-stage training process: pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL) for the Q programming language.
 
-**Associated Technical Report**: [Link to paper will be added here]
+**Associated Technical Report**: [Report](https://arxiv.org/abs/2508.06813)
+
 
 ## 🔤 About Q Programming Language
 
@@ -32,4 +33,16 @@ Q is a high-performance, vector-oriented programming language developed by Kx Sy
 
 ## 📝 Citation
 
-If you use this model in your research or applications, please cite our technical report.
+If you use this model in your research or applications, please cite our technical report.
+```
+@misc{hogan2025technicalreportfullstackfinetuning,
+      title={Technical Report: Full-Stack Fine-Tuning for the Q Programming Language}, 
+      author={Brendan R. Hogan and Will Brown and Adel Boyarsky and Anderson Schneider and Yuriy Nevmyvaka},
+      year={2025},
+      eprint={2508.06813},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2508.06813}, 
+}
+```
+