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+# Oral-A recovery v2: BCI-v2-authorized standard-depth scaling
+
+## Status and provenance boundary
+
+This is a new confirmation branch opened only by the complete calibrated
+oral-B-v2 pass. It does not reopen or relabel the failed learned-vectorizer
+Oral-A-v1--v4 branches, and it does not alter the closed legacy recovery whose
+prerequisite was the failed original oral-B R2 gate.
+
+The experiment and every numerical threshold below are copied verbatim from
+`ORAL_A_RECOVERY.md`, which was committed before any standard-depth endpoint
+was generated. The only protocol change is the prerequisite: the new branch
+requires both the complete D4 accept pass and
+`oral_b_v2_calibrated_recovery_confirmation_v1`. No recovery-v2 test endpoint
+may be generated until this document, its runner, analyzer, and smoke audit
+are committed together in a clean tracked revision.
+
+This separation matters for interpretation. The calibrated BCI-v2 experiment
+establishes that role-vectorized somato-dendritic innovation can carry local
+TD/outcome surprise without Kolen--Pollack reciprocity. The panel below then
+tests the complementary engineering claim that the already established
+dynamic-innovation/reciprocal substrate retains performance and alignment as
+a canonical image network becomes deeper. Neither result alone is presented
+as proving the other.
+
+## Fixed panel and reuse boundary
+
+Use CIFAR-10 ResNet-20/32/56 with width 16, BatchNorm, option-A shortcuts,
+batch size 128, all 50,000 training examples, 200 epochs, SGD momentum 0.9,
+weight decay `1e-4`, base learning rate 0.1 with 10-fold drops at epochs 100
+and 150, no warmup, and model/data-loader seeds 10--14. Test is evaluated
+exactly once at the endpoint; validation and intermediate test evaluations are
+zero.
+
+The matched methods are:
+
+1. exact BP on the identical forward architecture;
+2. tuned DFA at its already selected hidden rate 0.03 and output rate 0.1;
+3. clean reciprocal Kolen--Pollack at hidden/output rate 0.1; and
+4. dynamic innovation on the same reciprocal substrate, with traffic ratio 4,
+   traffic seed `5000 + model_seed`, 64 instruction-off calibration examples,
+   one closed-form neutral projection, and no later predictor update.
+
+The already frozen D4 clean-KP and dynamic records at ResNet-20/seeds 10--14
+are reused verbatim rather than rerun. Recovery v2 therefore adds exactly 50
+records: BP and DFA at depth 20, and all four methods at depths 32 and 56.
+Together with D4 this forms an exact 60-cell panel. All new records must share
+one clean tracked source revision; all D4 records retain their separate frozen
+source revision. No completed record may be deleted, replaced, or pooled with
+a pilot.
+
+Fixed HFA remains closed after its preregistered short gate failed. FF, PEPITA,
+canonical EP, BurstCCN, and Dual Prop retain their method-native audits and are
+reported as separate baselines rather than silently moved onto this matched
+standard-ResNet grid.
+
+## Frozen mechanism and cost invariants
+
+Every dynamic record must retain all D4 invariants: finite 200-epoch
+trajectory; mean early-third credit alignment measured only diagnostically;
+final feedback/forward cosine at least 0.98 and epoch-151--200 mean at least
+0.97; instruction-to-teaching RMS error at most `1e-4`; maximum post-projection
+traffic ratio and absolute soma slope at most `1e-5`; zero instruction leakage
+into neutral observations; exactly 64 predictor-update examples; exactly one
+neutral observation per ordinary example; and zero task-loss queries.
+
+At every depth, dynamic and clean KP must each use at most `1.34x` the matched
+BP MAC estimate. Dynamic elementwise projection work is reported separately
+and must be positive. Peak allocated memory may not exceed 8 GiB on the
+authorized GTX 1080 devices. Wall time is reported but is never substituted
+for MACs, queries, or memory. Every record must identify an NVIDIA GTX 1080
+and visibility restricted to authorized timan107 physical GPU 5 or 7.
+
+## Frozen oral-A gate
+
+The five model/data seeds are the independent paired units. One-sided 95%
+Student-t bounds use four degrees of freedom. Recovery v2 passes only if every
+record and every audited value is finite and all of the following hold:
+
+1. Mean BP accuracy is at least 90% at every depth and every dynamic endpoint
+   is at least 87%.
+2. At each depth, mean dynamic accuracy is within 2 points of matched BP and
+   the one-sided 95% upper bound on the paired deficit is at most 3 points.
+3. At each depth, mean dynamic accuracy is within 1.5 points of clean KP and
+   the upper bound on that paired deficit is at most 2.5 points.
+4. At depth 56, dynamic exceeds tuned DFA by at least 2 points on average and
+   the one-sided lower bound on the paired advantage is at least 1 point.
+5. Dynamic gains at least 0.5 points from depth 20 to 56 on average, its
+   one-sided lower bound is nonnegative, and at least four of five paired
+   seeds improve. Its mean depth gain must also be no more than 1 point below
+   BP's paired depth gain.
+6. Mean dynamic early-third alignment is at least 0.85 at every depth; every
+   depth-56 seed is at least 0.80; and the depth-56 mean retains at least 90%
+   of the depth-20 mean.
+7. Every mechanism, query, MAC, elementwise-work, memory, source, split, and
+   evaluation invariant above passes without exception.
+
+The executable runner and immutable complete-grid analyzer are
+`experiments/oral_a_dynamic_scaling_v2.py` and
+`experiments/analyze_oral_a_dynamic_scaling_v2.py`. A complete pass raises the
+formal milestone from 8 to 9 and establishes the standard-depth oral-A claim.
+Any failure is retained, leaves the score at 8, and closes this branch without
+depth, seed, optimizer, or threshold repair.