AWhat changed
Constructs randomized cumulative-probability conformity scores and calibrates them with split, cross-validation+ or jackknife+ techniques to adapt categorical prediction sets to model uncertainty.
Scientific scope
Constructs randomized cumulative-probability conformity scores and calibrates them with split, cross-validation+ or jackknife+ techniques to adapt categorical prediction sets to model uncertainty. Exact finite-sample marginal validity requires the stated exchangeability/symmetric-fitting conditions and differs across split/CV+ variants. Oracle conditional optimality is not unconditional finite-sample conditional coverage. First two authors explicitly equal.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Exact finite-sample marginal validity requires the stated exchangeability/symmetric-fitting conditions and differs across split/CV+ variants. Oracle conditional optimality is not unconditional finite-sample conditional coverage. First two authors explicitly equal.
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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