Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring

ArXi:2604.20122v1 Announce Type: new We propose a post-hoc adaptive conformal anomaly detection method for monitoring time series that leverages predictions from pre-trained foundation models without requiring additional fine-tuning. Our method yields an interpretable anomaly score directly interpretable as a false alarm rate (p-value), facilitating transparent and actionable decision-making.