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feature alignment 1in-context reconstruction 1tabular anomaly detection 1unified modeling 1unsupervised detection 1

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20242026
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cs.AI2026

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

Yunfeng Zhao, Qingfeng Chen, Yue Tan +4

The paper introduces CORE, a unified approach for detecting anomalies in tabular data that aligns heterogeneous features into a common space and uses in-context reconstruction of n…