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Label each result with its benchmark, test size, metric, target model, and gate mode; show absolute baseline→after (not just Δ); state the single shared protocol once. SearchQA recall-scaling table (1400-item test, SQuAD-EM, GPT-5.5, gated) + SpreadsheetBench confirmation (280-item, cell-value compare, nano, gate-free) + the gbrain end-to-end line. Keeps the single-seed / flat-on-noisy caveats.