docs: add arXiv citation url

README.md

@@ -19,7 +19,7 @@ tags:
 
 [![Hugging Face](https://img.shields.io/badge/Model_doc-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/docs/transformers/en/model_doc/neomme)
 [![Hugging Face](https://img.shields.io/badge/Collection-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000)](https://hf.co/collections/Hcompany/neomme)
-[![arXiv](https://img.shields.io/badge/arXiv-coming_soon-b31b1b.svg?style=for-the-badge)](https://arxiv.org)
+[![arXiv](https://img.shields.io/badge/arXiv-2609.01657-b31b1b.svg?style=for-the-badge)](https://arxiv.org/abs/2609.01657)
 
 ## Model summary
 
@@ -133,10 +133,13 @@ Model weights are released under the Apache 2.0 license.
 ## Citation
 
 ```bibtex
-@techreport{neomme2026,
-  title = {NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference},
-  author = {Lac, Aurélien and Wu, Tony},
-  institution = {H Company},
-  year = {2026}
+@misc{lac2026neommesingletowermultimodalnativemultilingual,
+      title={NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference},
+      author={Aurélien Lac and Tony Wu},
+      year={2026},
+      eprint={2609.01657},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2609.01657},
 }
 ```