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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “CoDeGraph”
On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detectioncs.CV

Dissertation tackles zero-shot anomaly detection, focusing on consistent anomalies and proposing CoDeGraph framework.

problem Consistent anomalies bias distance-based zero-shot anomaly detection methods.
method Formalized consistent anomalies, identified similarity scaling and neighbor-burnout phenomena, introduced CoDeGraph framework.
result CoDeGraph effectively suppresses consistent anomalies in zero-shot anomaly detection.
zero-shot anomaly detectionconsistent anomaliesCoDeGraphsimilarity scalingneighbor-burnout
2025-12-02abs ↗pdf ↗