experiments: freeze mixed-traffic innovation confirmation

1 files changed, 11 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index d6b368d..f8ad2fe 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -41,6 +41,17 @@ mean last-epoch accuracy across top-down traffic scales 0.2 and 0.5 (and the bes
 endpoint). C1 must use this choice without further test-set tuning. Traffic projection seeds remain
 separate from model/data seeds and must be recorded explicitly.
 
+The frozen confirmation is MNIST d3/w256 for 15 epochs with the C3-selected low-query calibration
+(`K=1`, every four minibatches). It crosses five model seeds with soma traffic at `rho=0.5` and
+top-down traffic at `rho=0.2`, each using independently generated projection seeds 1234 and 5678.
+Every traffic realization crosses raw, norm-matched raw, neutral-period innovation, and task-period
+predictor controls; a no-traffic panel crosses the first three. This is 95 runs total. Test accuracy
+is evaluated once after training, while final causal-alignment diagnostics use a fixed 512-example
+training prefix. C1 passes only if every one of the four traffic realizations has a mean paired
+innovation gain of at least 2 points over norm-matched raw, mean traffic R2 of at least 0.5, and
+mean final hidden-layer teaching alignment of at least 0.1. The mean paired no-traffic innovation
+change relative to both raw controls must be no worse than -0.5 points.
+
 ### C2. SDIL scales when depth is useful
 
 Flattened CIFAR is retained as a preservation result, not as evidence that added depth is used.