BWhat changed
Conditioned one generative network on noise level and desired step size to support one-step and variable-budget sampling within a single training phase.
Scientific scope
Conditioned one generative network on noise level and desired step size to support one-step and variable-budget sampling within a single training phase. Inherits flow matching, consistency learning and bootstrapping. One network/phase does not remove training computation or guarantee exact consistency for every learned solution; claimed quality advantages are original benchmark comparisons.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits flow matching, consistency learning and bootstrapping. One network/phase does not remove training computation or guarantee exact consistency for every learned solution; claimed quality advantages are original benchmark comparisons.
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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