docs: register mixed-traffic accept path

1 files changed, 18 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index b2fed59..f9aabc3 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -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