Remove the per-cell full deployment grid section; keep the gate-safety stress
test, experience-replay scaling + night-by-night climb, the dream-diversity
ablation, the gbrain end-to-end result, and the scope/limitations. Renumber
sections; update the README pointer accordingly.
Replace the compact baseline->after grid with three grouped per-benchmark tables
(SearchQA / LiveMath / SpreadsheetBench), each showing all 3 targets x both modes
across every night (N0..N5) + Δ. Makes the trajectory visible — gains reach a
level and hold rather than being single lucky readings — and presents the full
18-cell evidence in a more solid, readable form. Footnotes LiveMath's 4-night run
(train split <50 tasks). Numbers unchanged; just richer presentation.
Adds docs/sleep/RESULTS.md — the complete deployment-scale study behind
SkillOpt-Sleep, presented rigorously (named benchmarks, test sizes, metrics,
baseline->after, single shared protocol):
1. Gate-safety stress test: ungated nano SearchQA collapses 0.554->0.026
(-52.8); the gated twin holds 0.570 — the core argument for the design.
2. Full 18-cell deployment grid (3 benchmarks x 3 targets x gate/free),
shipped config: mean +0.5, range [-2.4, +5.1], nothing hidden.
3. Experience-replay scaling (recall_k 10->20->full: +3.1->+4.5->+5.6) and
the night-by-night climb (0.798->...->0.858, gate accepts as late as N5).
4. Dream-diversity fix as defense-in-depth: 3-config grid comparison
(-2.66/-52.8 -> +0.24/-4.0 -> +0.53/-2.4); the -52.8 cell becomes +2.7
from the dream fix alone.
5. gbrain end-to-end 0.00->1.00 on real Claude + Codex.
6. Honest scope: where it helps vs flat-in-noise, single-seed caveat with a
seed-robustness spot check, keep-the-gate-on.
README Results section now links prominently to it. Docs only; numbers are
self-contained with reproduce commands (no raw run dumps committed).
