experiments: freeze FashionMNIST C1 recovery

1 files changed, 15 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index 5864064..ee89703 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -61,6 +61,21 @@ innovation gain of at least 2 points over norm-matched raw, mean traffic R2 of a
 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.
 
+After the MNIST near-miss, one independent FashionMNIST recovery is frozen before any new result.
+The validation screen uses model seed 0, a 5,000-example stratified split from training data
+(`split_seed=2027`), d3/w256, 15 epochs, and otherwise the exact MNIST protocol. It crosses soma
+traffic at `rho=0.5` and top-down traffic at `rho in {0.2, 0.5}`, each with projection seeds 1234
+and 5678 and all four signal controls; a no-traffic panel has three controls (27 runs total).
+Only final validation accuracy is observed; diagnostics use the fixed training prefix.
+
+Soma traffic is eligible only if both projections gain at least 2 points over norm-matched raw,
+retain accuracy within 3 points of no traffic, have traffic R2 at least 0.5, and alignment at least
+0.1. A top-down level is eligible only if both its projections meet the same criteria. Among
+eligible levels, select the one with the highest worst-projection gain, breaking an exact tie
+toward smaller `rho`. No-traffic harm must remain within 0.5 points. If soma or no top-down level
+is eligible, stop without evaluating FashionMNIST test. Otherwise freeze that level for a
+five-model-seed, 95-run test confirmation under the original C1 per-realization gate.
+
 ### C2. SDIL scales when depth is useful
 
 Flattened CIFAR is retained as a preservation result, not as evidence that added depth is used.