AWhat changed
Trains prediction through an explicitly supervised concept bottleneck using independent, sequential or joint losses, allowing predicted concepts to be corrected before the final output.
Scientific scope
Trains prediction through an explicitly supervised concept bottleneck using independent, sequential or joint losses, allowing predicted concepts to be corrected before the final output. General computing architecture only; medical application is excluded. Requires training-time concept annotations, and modifying a predicted concept inside a model is not intervening on the real-world causal variable. Earlier attribute-based systems are acknowledged, not claimed newly invented. First three 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. General computing architecture only; medical application is excluded. Requires training-time concept annotations, and modifying a predicted concept inside a model is not intervening on the real-world causal variable. Earlier attribute-based systems are acknowledged, not claimed newly invented. First three 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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