Add Hugging Face paper link for improved discoverability

This pull request improves the model card for Gazal-R1-32B-GRPO-preview by adding a direct link to its corresponding paper on the Hugging Face Papers page (`https://huggingface.co/papers/2506.21594`). This enhances discoverability and provides immediate access to the paper details directly from the model page. The existing arXiv link for the technical report remains unchanged, as per instructions.

README.md

@@ -1,13 +1,13 @@
 ---
-license: apache-2.0
-license_link: https://huggingface.co/TachyHealth/Gazal-R1-32B-GRPO-preview/blob/main/LICENSE
+base_model:
+- TachyHealth/Gazal-R1-32B-sft-merged-preview
 datasets:
 - TachyHealth/medical_grpo
 - TachyHealth/structured_medical
-base_model:
-- TachyHealth/Gazal-R1-32B-sft-merged-preview
-pipeline_tag: text-generation
 library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/TachyHealth/Gazal-R1-32B-GRPO-preview/blob/main/LICENSE
+pipeline_tag: text-generation
 tags:
 - gazal-r1
 - grpo
@@ -21,6 +21,8 @@ tags:
 
 # Gazal-R1-32B: Medical Reasoning Language Model
 
+The model was presented in the paper [Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training](https://huggingface.co/papers/2506.21594).
+
 <a href="https://gazal.ai/" target="_blank" style="margin: 0px;">
     <img alt="Gazal AI" src="./logo.png" style=" width: 70%;" />
 </a>