Root Cause Analysis of Measurement and Mechanistic Anomalies

ArXi:2601.23026v2 Announce Type: replace Root cause analysis of anomalies aims to identify how and why a sample deviates from the normal process. Existing methods primarily focus on telling which features are responsible, ignoring that anomalies can arise through two fundamentally different processes: measurement errors, where the sample is generated normally but one or values is recorded incorrectly, and mechanism shifts, where the causal process that generated the sample was changed.