Preprint
A Stable Attribution Is Not a Stable Error Rate: What Feature-Attribution Monitoring Can See Under Drift, Why 'More Sensitive Than the Inputs' and 'Silent While Fairness Fails' Are Both Correct, and the Label-Free Statistic the Fairness Alarm Needed
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Life of Research Deployed classifiers are often monitored without labels, and feature attributions are one of the signals watched: a production monitoring service alerts when the ranking of SHAP attributions moves, and one line of work argues…