Update README.md

README.md

@@ -12,7 +12,7 @@ base_model:
 **qqWen-32B-RL** is a 32-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.
 **qqWen-32B-RL** is a reasoning model.
 
-**Associated Technical Report**: [Link to paper will be added here]
+**Associated Technical Report**: [Report](https://arxiv.org/abs/2508.06813)
 
 ## 🔤 About Q Programming Language
 
@@ -35,4 +35,14 @@ Q is a high-performance, vector-oriented programming language developed by Kx Sy
 
 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}, 
+}
+```