We Improved a Typed Decision Model 2.6× — On Unseen Datasets, the Advantage Didn't Hold

Five contract experiments with a bounded decision model inside an AutoML system. Semantic descriptions raised accuracy on one decision type from 22.6% to 58.1%; on six unseen datasets, richer semantics, structured state and decomposition added nothing.