Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection

Excerpt

arXiv:2610.00978v1 Announce Type: new Abstract: Time-series anomaly detection (TSAD) is difficult to generalize across datasets because heterogeneous temporal dynamics imply different notions of normality and favor different detection criteria. While time-series foundation models provide transferable representations, coupling them with a fixed anomaly-scoring mechanism can overlook this variation. This motivates a different perspective on foundation-model-based TSAD: using foundation models to c