arxiv
PublishedOctober 23, 2026 at 4:00 AM
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
Publisher summary· verbatim
arXiv:2510.16511v2 Announce Type: replace-cross Abstract: Real-world multivariate time series anomalies are rare and often unlabeled. Additionally, prevailing methods rely on increasingly complex architectures tuned to benchmarks, detecting only fragments of anomalous segments and overstating perfor
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Originally published on arxiv ↗