Researchers propose CoReLoop, a method for refining SSL-based audio deepfake detectors without additional training data or parameters. CoReLoop adapts recurrent inputs to the frozen encoder and controls state updates to improve detection performance. This advancement could be relevant to developers working on audio deepfake detection and mitigation.