Add links to arXiv

README.md

@@ -4,7 +4,7 @@
 
 **Modular Primitives for High-Performance Differentiable Rendering**<br>
 Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila<br>
-[http://arxiv.org/abs/xxxx.yyyyy](http://arxiv.org/abs/xxxx.yyyyy)
+[http://arxiv.org/abs/2011.03277](http://arxiv.org/abs/2011.03277)
 
 Nvdiffrast is a PyTorch/TensorFlow library that provides high-performance primitive operations for rasterization-based differentiable rendering.
 Please refer to &#x261E;&#x261E; [nvdiffrast documentation](https://nvlabs.github.io/nvdiffrast) &#x261C;&#x261C; for more information.

docs/index.html

@@ -339,7 +339,7 @@ This documentation is intended to serve as a user's guide to nvdiffrast. For det
 <blockquote>
 <strong>Modular Primitives for High-Performance Differentiable Rendering</strong><br> Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila<br> ACM Transactions on Graphics 39(6) (proc. SIGGRAPH Asia 2020)
 </blockquote>
-<p>Paper: <a href="http://arxiv.org/abs/xxxx.yyyyy" class="uri">http://arxiv.org/abs/xxxx.yyyyy</a><br> GitHub: <a href="https://github.com/NVlabs/nvdiffrast" class="uri">https://github.com/NVlabs/nvdiffrast</a></p>
+<p>Paper: <a href="http://arxiv.org/abs/2011.03277" class="uri">http://arxiv.org/abs/2011.03277</a><br> GitHub: <a href="https://github.com/NVlabs/nvdiffrast" class="uri">https://github.com/NVlabs/nvdiffrast</a></p>
 <div class="image-parent">
 <div class="image-caption">
 <div class="image-row">