docs: record dynamic projection stability and short pass

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diff --git a/RESULTS.md b/RESULTS.md
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+++ b/RESULTS.md
@@ -961,6 +961,40 @@ freezes the predictor, restores loader state, and evaluates no validation or
 test example. Sign-only dissipativity is therefore closed before endpoint
 access; no margin is selected and the score remains 5/10.
 
+The new dynamic neutral-projection branch does not weaken those negative stop
+rules. Instead of another fixed margin, it uses a fast paired instruction-off
+soma/apical observation to remove only the current affine component of the
+*neutral* residual. The slow 64-example predictor remains frozen and the fast
+fit sees zero task-instruction observations. The frozen D1 training-only gate
+passes all 14 checks for 352 steps: maximum loss is `2.9281`, final-32 mean
+loss is `1.6293`, maximum forward/feedback weights are `1.181/0.833`, and all
+optimizer and BatchNorm states remain finite. The uncontrolled neutral
+residual grows to `0.005833` of traffic RMS with a correction slope as large
+as `0.02968`; projection holds the residual ratio and soma slope to
+`3.03e-8` and `1.52e-8`. Thus the controller is active rather than benefiting
+from an accidentally exact initialization. D1 evaluates neither validation
+nor test and cannot change the paper score.
+
+The subsequently frozen D2 short validation endpoint also passes every gate:
+
+| method | validation accuracy | early alignment | epoch-11--20 feedback cosine | estimated MACs |
+|:--|--:|--:|--:|--:|
+| dynamic neutral-projection innovation | **83.58%** | 0.883830 | 0.860594 | 1.4519e14 |
+| clean KP | 82.66% | 0.885583 | 0.854594 | 1.4519e14 |
+| frozen MT-1 raw / matched | 10.00% / 10.00% | nonfinite | nonfinite | 1.4530e14 each |
+
+D2 is finite for all 20 epochs and ends with validation loss `0.511322` and
+feedback/forward cosine `0.904056`. The unprojected neutral/traffic ratio
+reaches `0.009561`, while the projected remainder stays below `3.04e-8` with
+maximum soma slope `1.44e-8`; used-signal/instruction RMS differs by at most
+`4.67e-10`. It uses zero task-loss queries, `1.3261x` BP MACs, 4.070e12
+separately reported elementwise operations, one paired neutral observation per
+ordinary example, 2.165 GB peak allocated memory, one final validation
+evaluation, and no test evaluation. This is the first stable load-bearing
+innovation result on the standard ResNet substrate, but it is still a
+one-seed short validation record. Per the frozen scoring rule it leaves the
+reviewer score at 5/10 and opens only the predeclared D3 full validation run.
+
 ## How to run
 `experiments/run.py --mode {bp,fa,dfa,sdil} --dataset {mnist,fmnist,cifar10} --depth D --residual {0,1} --act {tanh,gelu,silu,relu}`
 Batteries: `experiments/run_v2.sh <ds> "<depths>" <res> <act> "<seeds>" <ep> <pfx>`.