When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection

arXiv:2609.29580 · cs.LG, stat.ML · Submitted 2026-08-27 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• AUROC — 39× in this paper · explained in 2 episodes
• Calibration — 22× in this paper · explained in 7 episodes
• AUC — 21× in this paper · explained in 2 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Exchangeability — 4× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Quantization — 1× in this paper · explained in 12 episodes

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