A composite multi-proxy framework detects harmful drift in label-free risk decision systems and enables graduated governance alerts.
arXiv preprint arXiv:2506.05047 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A new evidence sufficiency model with four dimensions and seven proxy categories enables monitoring of ML risk systems under delayed ground truth, detecting covariate and mixed drift but not concept drift without feature changes.
Disagreement measures from label flipping in IDT ensembles underperform loss-based drift detectors in streaming tabular data due to the limited plasticity of tree models.
citing papers explorer
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Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems
A composite multi-proxy framework detects harmful drift in label-free risk decision systems and enables graduated governance alerts.
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Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems
A new evidence sufficiency model with four dimensions and seven proxy categories enables monitoring of ML risk systems under delayed ground truth, detecting covariate and mixed drift but not concept drift without feature changes.
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Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
Disagreement measures from label flipping in IDT ensembles underperform loss-based drift detectors in streaming tabular data due to the limited plasticity of tree models.