A hypergraph entropic normal-world model learns normality from abundant normal sensor data and calibrates abnormality boundaries with few examples, reporting AUROC 0.9983 on the most complex NASA C-MAPSS subset.
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Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection
A hypergraph entropic normal-world model learns normality from abundant normal sensor data and calibrates abnormality boundaries with few examples, reporting AUROC 0.9983 on the most complex NASA C-MAPSS subset.