Add Technical Report

README.md

@@ -16,7 +16,8 @@ base_model:
     <a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
     <a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
     <a href="https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/" target="_blank">Launch Blog</a> |
-    <a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a>
+    <a href="https://ai.google.dev/gemma/docs/core" target="_blank">Documentation</a> |
+    <a href="https://arxiv.org/abs/2607.02770" target="_blank">Technical Report</a>
     <br>
     <b>License</b>: <a href="https://ai.google.dev/gemma/docs/gemma_4_license" target="_blank">Apache 2.0</a> | <b>Authors</b>: <a href="https://deepmind.google/models/gemma/" target="_blank">Google DeepMind</a>
 </p>
@@ -515,4 +516,20 @@ The development of vision-language models (VLMs) raises several ethical concerns
 
 ### **Benefits**
 
-At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
+At the time of release, this family of models provides high-performance open vision-language model implementations designed from the ground up for responsible AI development compared to similarly sized models.
+
+## **Citation**
+
+If you find our work helpful, please consider citing it:
+
+```bibtex
+@misc{gemmateam2026gemma4,
+      title={Gemma 4 Technical Report}, 
+      author={Gemma Team},
+      year={2026},
+      eprint={2607.02770},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2607.02770}, 
+}
+```