Update README.md

README.md

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 ### Model Description
 
-MoshiVis is a perceptually augmented version of Moshi, giving it the ability to freely discuss images whilst maintaining its natural conversation style and low latency.
+**MoshiVis** ([Project Page](https://kyutai.org/moshivis) | [arXiv](https://arxiv.org/abs/2503.15633)) is a perceptually augmented version of Moshi, giving it the ability to freely discuss images whilst maintaining its natural conversation style and low latency.
 To achieve this, Moshi has been extended with a visual backbone and a cross-attention mechanism to infuse the visual information into the language model.
 To train MoshiVis, we add a few parameters (~200M) on top of a frozen Moshi backbone (for the text/speech modeling aspect, ~7B params) 
 and a PaliGemma2 vision encoder (for the image encoding part, ~400M parameters).
@@ -31,6 +31,8 @@ We provide the same model weights for other backends and quantization formats in
 
 ### Model Sources 
 
+- **Project Page** [kyutai.org/moshivis](https://kyutai.org/moshivi)
+- **Preprint** ([arXiv/abs/2503.15633](https://arxiv.org/abs/2503.15633))
 - **Repository:** [Github kyutai-labs/moshivis](https://github.com/kyutai-labs/moshivis)
 - **Demo:** [Talk to Moshi](http://vis.moshi.chat)