Update README.md

README.md

@@ -36,7 +36,7 @@ As above. This is a model trained to detect IBD patients from clinical text
 ### Model Sources
 
 - **Repository:** https://huggingface.co/MattStammers/BioClinicalBERT_IBD
-- **Paper:** Arxiv (Pending)
+- **Paper:** MedRxiv- [MedRxiv Paper](https://www.medrxiv.org/content/10.1101/2025.07.06.25330961v1)
 - **Demo:** https://huggingface.co/spaces/MattStammers/IBD_Cohort_Identification
 
 ## Uses
@@ -125,7 +125,8 @@ Training the model used 2.01kWh of energy emmitting 416.73 grams of CO2
 
 ## Citation
 
-Arxiv (Pending)
+Stammers M, Gwiggner M, Nouraei R, Metcalf C, Batchelor J. From Rule-Based to DeepSeek R1: A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease Cohorts. medRxiv. 2025:2025-07.
+MedRxiv- [MedRxiv Paper](https://www.medrxiv.org/content/10.1101/2025.07.06.25330961v1)
 
 ## Glossary