analysis: localize early-layer feedback bottlenecks

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diff --git a/REVIEW_SCORECARD.md b/REVIEW_SCORECARD.md
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@@ -74,6 +74,7 @@ retroactively reopened by success on standard vision benchmarks.
 | 2026-07-22 / frozen Oral-A A1--A3 | A1 and A2 pass; full A3 SDIL becomes nonfinite and fails four of six checks; A4 untouched | 5 → 5 | Closes the standard-scale question negatively. The narrow mechanism paper survives, while any standard-ResNet or oral claim does not |
 | 2026-07-22 / native C4 | BurstCCN and Dual Prop author-code records pass the strict audit; Dual Prop reproduces 92.46% test in 23119.8 s | 5 → 5 | Closes a baseline-fidelity objection and confirms a strong expensive comparator, but does not repair SDIL's failed A3 evidence |
 | 2026-07-22 / Oral-A-v2 V2-1 | Six clean frozen-forward records: structured calibration raises early/all-layer alignment to 0.0072/0.0527 but fails two frozen advancement checks | 5 → 5 | Confirms representable-subspace variance was real, while showing that early-layer causal credit remains below the standard-depth gate; V2-2 and confirmation stay closed |
+| 2026-07-22 / post-failure representation oracle | Current family has a 0.0240 cross-validated early-alignment ceiling on the fixed probe versus 0.0072 learned; unconstrained basis coefficients reach 0.0549 | 5 → 5 | Localizes both a causal-regression gap and an output-error-only capacity gap, but an oracle audit supplies no task-performance evidence |
 
 Future rows are appended only after an audited frozen stage. A score staying flat is informative:
 engineering, theory exposition, or visualization may make the paper more defensible without