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Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection

arXiv:2604.17616v2 Announce Type: replace Abstract: Root cause analysis (RCA) for time-series anomaly detection is critical for the reliable operation of complex real-world systems. Existing explanation methods often rely on unrealistic feature perturbations and ignore temporal and cross-feature dependencies, leading to unreliable attributions. We propose a conditional attribution framework that explains anomalies relative to contextually similar normal system states.

arXiv CS 9d ago

Realizing microrheological response of configurable viscoelastic media with a dynamic optical trap

arXiv:2603.07100v2 Announce Type: replace-cross Abstract: The local viscoelastic (VE) environment governs the motion of an embedded microsphere and consequently, pertinent dynamical phenomena. However, studying such phenomena with varying VE properties remains challenging for various reasons, including the strong coupling among the VE parameters and their dependence on experimental conditions, such as temperature. Here, we demonstrate the experimental realization of configurable VE media...

arXiv Physics 1d ago