AWhat changed
Averages sensitivity maps over Gaussian perturbations of an input to reduce visually noisy saliency, and studies visualization choices and training-time noise.
Scientific scope
Averages sensitivity maps over Gaussian perturbations of an input to reduce visually noisy saliency, and studies visualization choices and training-time noise. Visual coherence is evaluated on selected image models and does not certify causal faithfulness, completeness or robustness. Monte Carlo averaging approximates a smoothed map, not the exact unsmoothed gradient.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Visual coherence is evaluated on selected image models and does not certify causal faithfulness, completeness or robustness. Monte Carlo averaging approximates a smoothed map, not the exact unsmoothed gradient.
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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