Empirically measure what each of model-right-sizer's four research-grounded citation layers (Token Economics, IBPO, BudgetThinker, Speculative Decoding) actually does to its blueprints — instead of trusting the citations alone. Renders layer-ablated variants (any of the 16 layer subsets), runs a fixed six-task benchmark through each variant's Pass A blueprint, and for a scoped subset actually executes the recommended build and scores whether real effort stayed within the predicted budget (wrapping `classify_budget_adherence`). Reports each layer's effect in ISOLATION vs. a zero-layer baseline, and every COMBINATION across the full 16-subset grid, so synergy or redundancy is visible, not assumed away. Read-mostly: writes only a scratch directory and a final report, never `agents/model-right-sizer.md`. Use when someone says "does the Token Economics layer actually change anything", "ablate the research layers", "run the layer-ablation study", or "audit model-right-sizer's citations empirically".