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README.md

@@ -20,7 +20,7 @@ CallCleaner removes background noise (wind, rain, vehicles, other animals) from
 animal vocalizations. It is a 19M-parameter waveform-to-waveform model that needs no detector,
 text prompt or GPU, and runs about 90× faster than real time on a laptop CPU.
 
-[Project page](https://callcleaner.github.io) · Paper (arXiv, link coming) · [Code (GitHub)](https://github.com/morrisalp/CallCleaner)
+[Project page](https://callcleaner.github.io) · [Paper (arXiv)](https://arxiv.org/abs/2611.11491) · [Code (GitHub)](https://github.com/morrisalp/CallCleaner)
 
 ## How it was made
 
@@ -87,6 +87,7 @@ architecture and initialization are MIT-licensed.
 @article{xie2026callcleaner,
   title  = {CallCleaner: Lightweight Bioacoustic Denoising from an Audio Foundation Model},
   author = {Xie, Michael and Begu{\v{s}}, Ga{\v{s}}per and Alper, Morris},
+  journal = {arXiv preprint arXiv:2611.11491},
   year   = {2026}
 }
 ```