Update README.md with paper link and citation

README.md

@@ -37,7 +37,7 @@ UPLiFT is a lightweight method to upscale features from pretrained vision backbo
 
 ## Links
 
-- **Paper**: [Coming Soon]
+- **Paper**: [https://arxiv.org/abs/2601.17950](https://arxiv.org/abs/2601.17950)
 - **GitHub**: [https://github.com/mwalmer-umd/UPLiFT](https://github.com/mwalmer-umd/UPLiFT)
 - **Project Website**: [https://www.cs.umd.edu/~mwalmer/uplift/](https://www.cs.umd.edu/~mwalmer/uplift/)
 
@@ -121,7 +121,14 @@ This model is designed for:
 
 If you use UPLiFT in your research, please cite our paper.
 
-[citation coming soon]
+```
+@article{walmer2026uplift,
+  title={UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders},
+  author={Walmer, Matthew and Suri, Saksham and Aggarwal, Anirud and Shrivastava, Abhinav},
+  journal={arXiv preprint arXiv:2601.17950},
+  year={2026}
+}
+```
 
 ## Acknowledgements