figures: add audited ResNet confirmation panel

1 files changed, 20 insertions, 17 deletions

diff --git a/PAPER_PLAN.md b/PAPER_PLAN.md
index 290ac30..f3fcab3 100644
--- a/PAPER_PLAN.md
+++ b/PAPER_PLAN.md
@@ -44,15 +44,14 @@ as a limitation rather than a title claim.
 5. Report the frozen depth panel: SDIL changes by only
    `-0.214 +/- 0.349` points over 12x hidden depth while DFA alignment falls to
    `0.047`; qualify that flattened CIFAR is depth-flat.
-6. Report native BurstCCN and Dual Prop as method-native context, including
-   their unmatched protocols and audited walls. Report the failed
-   standard-ResNet A3 gate as a limitation: short-run SDIL beat tuned DFA, but
-   the full recipe became nonfinite and did not open A4. The later dynamic
-   neutral-projection D2 result may be mentioned as a short seed-0 recovery
-   (`83.58%`) but cannot support a full-scale abstract claim unless D3 and its
-   independent confirmation pass. End with the supported scope: innovation is
-   useful for soma-predictable traffic, while learned feedback amortization and
-   independently confirmed long-horizon stability remain bottlenecks.
+6. Report the untouched standard-ResNet confirmation: dynamic innovation
+   reaches `91.584%` mean test accuracy under four-times-RMS predictable
+   traffic versus clean KP's `91.388%`, with a `0.131`-point one-sided deficit
+   bound, `0.999687` early alignment, zero task-loss queries, and `1.326x` BP
+   MACs. Attribute reciprocal KP credit to Akrout et al. and disclose the
+   paired neutral microphase. End with the supported scope: ResNet-20
+   robustness is established, but positive added-depth utility and the broader
+   Harnett-like population signature are not.
 
 The abstract should not mention the failed desired-velocity hypothesis unless
 the paper explicitly positions that falsification as a contribution. It must
@@ -90,18 +89,22 @@ numbering.
 
 1. **Mechanism and necessity:** current `figure3_innovation`. Lead with the
    subtraction diagram, accuracy under traffic, and used-signal alignment.
-2. **Accuracy/cost:** current `figure1_pareto`, augmented by the completed
+2. **Standard-network confirmation:** current
+   `figure4_resnet_confirmation`. Show untouched paired test endpoints,
+   layerwise raw-versus-innovation direction, the complete credit-tracking
+   trajectory, and the explicit resource audit together.
+3. **Accuracy/cost:** current `figure1_pareto`, augmented by the completed
    native-author table in the text or supplement. Do not place unmatched
    architectures on one purported equal-compute frontier.
-3. **Depth scaling:** current `figure2_scaling`. Retain the MLP result as a
+4. **Depth scaling:** current `figure2_scaling`. Retain the MLP result as a
    controlled depth-preservation diagnosis; report the failed ResNet-20 A3
    trajectory in the limitations or supplement, not as a scaling figure.
-4. **Mechanism/cost anatomy:** query-budget retention, direct-NP diagnosis,
-   predictor timescale, and failure boundaries. The audited
-   `figureS_dynamic_stability` gives the clearest current sequence—fixed
-   predictor explosion, continually removed neutral coupling, and restored
-   short-run learning—and should move into the main paper if D3 passes.
-5. **Biological signatures:** the complete failed Oral-B screen belongs in the
+5. **Mechanism/cost anatomy:** query-budget retention, direct-NP diagnosis,
+   predictor timescale, and failure boundaries. Keep
+   `figureS_dynamic_stability` in the supplement because the D4 main figure now
+   shows the complete stable trajectory; cite it for the failure-to-recovery
+   sequence.
+6. **Biological signatures:** the complete failed Oral-B screen belongs in the
    supplement/limitations unless the paper foregrounds falsification. Report
    its positive decodability and negative causal-role results together.