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Diffstat (limited to 'ROADMAP.md')
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@@ -465,6 +465,24 @@ the frozen settings. This strongly repairs the feedback-substrate engineering problem but remains inherited Akrout et al. evidence, so the paper score stays 5/10. +**KP mixed-traffic MT-0 status: mechanics passed; MT-1--MT-3 frozen before +endpoints.** `MIXED_TRAFFIC.md` fixes a four-to-one, initialization-calibrated +soma-predictable traffic intervention and crosses raw apical activity, +per-example norm-matched raw activity, and neutral-period innovation on the +same reciprocal KP substrate. The zero-traffic limit, exact-predictor limit, +gain calibration, norm/direction control, reciprocal local correlations, and +parameter independence pass at zero or float64 machine error. A realistic +20-step neutral warmup leaves `0.1360` of traffic RMS versus the frozen `0.25` +ceiling. Elementwise traffic/predictor work is reported separately from affine +MACs, and every control pays the predictor schedule. + +MT-1 remains sealed until KP-2 passes. A 20-epoch pass opens one full seed-0 +validation panel but cannot raise the reviewer score; a full pass opens the +already frozen five-seed, all-50k, one-test-evaluation confirmation. Only the +complete MT-3 confirmation can move the score from 5/10 to 6/10. This is the +current accept-bar path. It is a controlled predictable-traffic experiment, +not a retroactive rescue of the failed natural/top-down C1 or Oral-B gates. + Prepare convolutional local-update primitives and ResNet-20/32/56 protocols early. Queue frozen runs opportunistically on authorized idle GPUs. Because BurstCCN already reports CIFAR-10 and ImageNet scaling, dataset scale alone is not novel. The oral-level target is a memorable joint |