Added reference to paper.

README.md

@@ -32,8 +32,8 @@ thereby facilitating significant strides in automated theorem proving.
 
 ## Model Sources
 
-- **Paper:** "Enhancing Formal Theorem Proving: A Comprehensive
-  Dataset for Training AI Models on Coq Code" by Andreas Florath.
+- **Paper:** [Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code](https://arxiv.org/abs/2403.12627)
+- **Dataset:** [florath/coq-facts-props-proofs-gen0-v1](https://huggingface.co/datasets/florath/coq-facts-props-proofs-gen0-v1)
 
 ## Uses
 
@@ -132,7 +132,20 @@ with torch.no_grad():
 
 ## Training Details
 
-The model was fine-tuned with the `florath/coq-facts-props-proofs-v1`
+The model was fine-tuned with the [florath/coq-facts-props-proofs-gen0-v1](https://huggingface.co/datasets/florath/coq-facts-props-proofs-gen0-v1)
 dataset.  Only entries with permissive licenses were used during the
 fine-tuning process.
 
+## Cite
+
+```
+@misc{florath2024enhancing,
+      title={Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code}, 
+      author={Andreas Florath},
+      year={2024},
+      eprint={2403.12627},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
+