Confidence-Gated Admission for Hardware Prefetching: When the Gate Matters More Than the Predictor

Learned cache prefetchers are typically evaluated against classical predictors that always issue requests, confounding the prediction model with the admission policy. We disentangle these variables with matched controls: the same admission gate is applied to both a 257-parameter online MLP and a cla