Can External Sources Help the Knowledge Cut-off Issues in Audio Deepfake Detection?

In conventional deepfake audio detection pipelines, inference and evaluation are typically conducted using standalone, parameterized models trained exclusively on a fixed dataset. In contrast, we investigate a retrieval-augmented detection framework that queries an external knowledge database at inf