Add paper link and library_name metadata

Hi, I'm Niels from the Hugging Face team.

This model is part of the MOSS-TTS family, which builds upon the CAT architecture described in the recent paper: [MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models](https://huggingface.co/papers/2602.10934).

I've opened this PR to:
- Update the Arxiv badge from "Coming soon" to point to the actual technical report.
- Add `library_name: transformers` to the metadata (since it's a custom model compatible with the library).
- Set the `pipeline_tag` to `text-to-speech` for improved discoverability.
- Add a reference to the research paper.

These changes help users find the research context and improve the model's visibility on the Hub.

README.md

@@ -1,7 +1,4 @@
 ---
-license: apache-2.0
-tags:
-- text-to-speech
 language:
 - zh
 - en
@@ -23,7 +20,15 @@ language:
 - hu
 - el
 - tr
+license: apache-2.0
+pipeline_tag: text-to-speech
+library_name: transformers
+tags:
+- text-to-speech
+- audio
+- moss-tts
 ---
+
 # MOSS-TTS Family
 
 <br>
@@ -39,7 +44,7 @@ language:
   <a href="https://github.com/OpenMOSS/MOSS-TTS/tree/main"><img src="https://img.shields.io/badge/Project%20Page-GitHub-blue"></a>
   <a href="https://modelscope.cn/collections/OpenMOSS-Team/MOSS-TTS"><img src="https://img.shields.io/badge/ModelScope-Models-lightgrey?logo=modelscope&amp"></a>
   <a href="https://mosi.cn/#models"><img src="https://img.shields.io/badge/Blog-View-blue?logo=internet-explorer&amp"></a>
-  <a href="https://github.com/OpenMOSS/MOSS-TTS"><img src="https://img.shields.io/badge/Arxiv-Coming%20soon-red?logo=arxiv&amp"></a>
+  <a href="https://arxiv.org/abs/2602.10934"><img src="https://img.shields.io/badge/Arxiv-2602.10934-red?logo=arxiv&amp"></a>
 
   <a href="https://studio.mosi.cn"><img src="https://img.shields.io/badge/AIStudio-Try-green?logo=internet-explorer&amp"></a>
   <a href="https://studio.mosi.cn/docs/moss-tts"><img src="https://img.shields.io/badge/API-Docs-00A3FF?logo=fastapi&amp"></a>
@@ -50,6 +55,9 @@ language:
 ## Overview
 MOSS‑TTS Family is an open‑source **speech and sound generation model family** from [MOSI.AI](https://mosi.cn/#hero) and the [OpenMOSS team](https://www.open-moss.com/). It is designed for **high‑fidelity**, **high‑expressiveness**, and **complex real‑world scenarios**, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
 
+## Paper Information
+
+This model is based on the research presented in the paper: **[MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models](https://huggingface.co/papers/2602.10934)**.
 
 ## Introduction
 
@@ -141,4 +149,16 @@ Please refer to the following GitHub repository for detailed usage instructions
 👉 **Usage Guide**:  
 https://github.com/OpenMOSS/MOSS-TTS/blob/main/docs/moss_tts_realtime_model_card.md
 
----
+## Citation
+If you use this code or result in your paper, please cite our work as:
+```tex
+@misc{gong2026mossaudiotokenizerscalingaudiotokenizers,
+      title={MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models}, 
+      author={Yitian Gong and Kuangwei Chen and Zhaoye Fei and Xiaogui Yang and Ke Chen and Yang Wang and Kexin Huang and Mingshu Chen and Ruixiao Li and Qingyuan Cheng and Shimin Li and Xipeng Qiu},
+      year={2026},
+      eprint={2602.10934},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2602.10934}, 
+}
+```