results: freeze predictor timescale choice

1 files changed, 5 insertions, 0 deletions

diff --git a/ROADMAP.md b/ROADMAP.md
index d093fc0..d6f5588 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -36,6 +36,11 @@ held-out accuracy by at least 2 percentage points over norm-matched raw feedback
 traffic level, without harming the no-traffic setting by more than 0.5 points. The predictor must
 remove measurable soma-predictable traffic while retaining causal teaching alignment.
 
+The validation-only timescale screen froze `eta_P=0.05` and 200 neutral warmup steps by the highest
+mean last-epoch accuracy across top-down traffic scales 0.2 and 0.5 (and the best worst-scale
+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.
+
 ### C2. SDIL scales when depth is useful
 
 Flattened CIFAR is retained as a preservation result, not as evidence that added depth is used.