Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection.

arXiv:2610.06453v1 Announce Type: new Abstract: Time Series Foundation Models (TSFMs) achieve strong generalization by learning to reconstruct or forecast broad temporal patterns from large-scale time series during pre-training. Yet this strength can become a