AI RESEARCH

When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

arXiv CS.LG

ArXi:2605.26171v1 Announce Type: new Many practical anomalies are not merely rare inputs, but violations of semantic constraints: objects co-occur in structured ways, actions imply preconditions, and events satisfy temporal or relational regularities. We study anomaly detection in this setting, where constraints are given as logical rules over learned visual concepts, but real rule violations are rare or absent during