AWhat changed
Calibrates nested set-valued predictors using pointwise risk upper bounds and a monotonic selection rule to obtain high-probability control of population loss.
Scientific scope
Calibrates nested set-valued predictors using pointwise risk upper bounds and a monotonic selection rule to obtain high-probability control of population loss. Requires i.i.d. held-out calibration, monotone loss/nested sets and suitable concentration/continuity conditions; not arbitrary drift or conditional correctness for every input. Distinct from CRC expectation guarantee; inherited concentration bounds are not newly invented. First three authors equal. Biological/medical applications excluded.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Requires i.i.d. held-out calibration, monotone loss/nested sets and suitable concentration/continuity conditions; not arbitrary drift or conditional correctness for every input. Distinct from CRC expectation guarantee; inherited concentration bounds are not newly invented. First three authors equal. Biological/medical applications excluded.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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