When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection
This work introduces SCOUT (Support-Count Orthogonalized Unsupervised Testing), a factorized anomaly detector that separates replication-invariant support evidence from exposure-aware count evidence and specifies when multiplicity should be treated as signal, nuisance, or uninterpretable without additional information.