Author

Yue Pan

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#artificial intelligence Preprint Oct 2026

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

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 reveal which regime applies. We study in-context learning (ICL) for time series anomaly detection (TSAD) thro...

Tian Lan, Yi-Fei Gao, Yi-Meng Lu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

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

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 mechan...

Tian Lan, Yi-Fei Gao, Yi-Meng Lu et al. · 0 citations