Add link to paper

README.md

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 # Sparsh-skin model
 
-[Sparsh-skin](https://akashsharma02.github.io/sparsh-skin-ssl/) is a transformer-based backbone for full hand tactile sensing with the [Xela](https://www.xelarobotics.com/tactile-sensors) sensor. This model is trained using self-distillation SSL and is specifically adapted for full hand Xela sensing, accounting for hand configuration, etc.
+[Sparsh-skin](https://huggingface.co/papers/2505.11420) is a transformer-based backbone for full hand tactile sensing with the [Xela](https://www.xelarobotics.com/tactile-sensors) sensor. This model is trained using self-distillation SSL and is specifically adapted for full hand Xela sensing, accounting for hand configuration, etc.
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+Project page: https://akashsharma02.github.io/sparsh-skin-ssl/
 
 Disclaimer: This model card was written by the Sparsh-skin authors. The Transformer architetcure and DINO objectives have been adapted for full hand tactile SSL purposes.