BWhat changed
Jointly optimized a generation policy and a policy that improves its outputs through a regularized adversarial preference objective, deriving an offline supervised training formulation and evaluating iterative self-revision.
Scientific scope
Jointly optimized a generation policy and a policy that improves its outputs through a regularized adversarial preference objective, deriving an offline supervised training formulation and evaluating iterative self-revision. Robustness refers to behavior-policy dependence in the stated fixed-preference formulation, not arbitrary prompt-distribution, preference, support or model-class shifts. Theoretical identities are author-reported and not independently audited here; summarization results do not certify general factual correctness.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Robustness refers to behavior-policy dependence in the stated fixed-preference formulation, not arbitrary prompt-distribution, preference, support or model-class shifts. Theoretical identities are author-reported and not independently audited here; summarization results do not certify general factual correctness.
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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