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README.md

@@ -18,7 +18,7 @@ metrics:
 
 # sourcetrace — the fitted head of CoRA (open-set audio deepfake attribution)
 
-The fitted head of [`sourcetrace`](https://github.com/pujariaditya/sourcetrace),
+The fitted head of [`sourcetrace`](https://github.com/pujariaditya/CoRA),
 which names **which synthesis model produced a synthetic speech clip** — or reports
 that the model is not one it has seen. It is the artifact behind the paper *CoRA:
 Robust Open-Set Audio Deepfake Attribution with Neural Codec Residuals*.
@@ -78,7 +78,7 @@ retired: the current code does not load them.
 ## Use
 
 ```bash
-git clone https://github.com/pujariaditya/sourcetrace && cd sourcetrace
+git clone https://github.com/pujariaditya/CoRA && cd CoRA
 pip install -e . && ./setup.sh
 python scripts/download_weights.py      # sha256-pinned
 python -m sourcetrace.evaluate --task both --checkpoint checkpoints/mlaad_v5.pt
@@ -139,7 +139,7 @@ redistributed here.
 
 ## Citation
 
-See [`CITATION.cff`](https://github.com/pujariaditya/sourcetrace/blob/master/CITATION.cff)
+See [`CITATION.cff`](https://github.com/pujariaditya/CoRA/blob/master/CITATION.cff)
 in the code repository, which is the single source for how to cite this.
 
 Please also cite the benchmarks (MLAAD, STOPA) and the baselines this is compared