Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision.

arXiv:2610.06180v1 Announce Type: cross Abstract: Whether a time-series pattern is anomalous often depends on the operating regime of the monitored process. A missing event can signal a fault in one regime and be routine in another, and the query alone may not