docs: record reciprocal KP full pass

6 files changed, 64 insertions, 11 deletions

diff --git a/BASELINES.md b/BASELINES.md
index 5c66e2a..760a031 100644
--- a/BASELINES.md
+++ b/BASELINES.md
@@ -41,7 +41,10 @@ The audited implementations and completed results are in `RESULTS.md`:
   reciprocal correlation is charged in the MAC audit; `KP_BASELINE.md` freezes
   its staged ResNet gate before any KP task endpoint. The frozen KP-1 record
   passes at 82.66% validation accuracy versus matched BP's epoch-20 81.02%,
-  with 0.886 early alignment and 1.326x BP MACs;
+  with 0.886 early alignment and 1.326x BP MACs. The frozen KP-2 record also
+  passes at 91.26% versus matched BP's 91.62%, with 0.9994 early alignment,
+  0.9997 late feedback cosine, zero loss queries, and the same 1.326x MAC
+  ratio;
 - direct node perturbation uses a causal target on every hidden update and no
   learned vectorizer;
 - the no-traffic, `P=0` SDIL backbone is learned direct feedback by node
diff --git a/KP_BASELINE.md b/KP_BASELINE.md
index 78bb756..27fd5ff 100644
--- a/KP_BASELINE.md
+++ b/KP_BASELINE.md
@@ -96,4 +96,28 @@ All epoch losses and tracking diagnostics are finite. The run uses
 require exact weight equality to obtain a strong teaching direction. Unlike
 the failed intermittent-mirror trajectory, these alignment gates cover the
 constant-LR training interval rather than only a decayed-LR endpoint. KP-2 is
-opened without changing any optimizer or feedback setting.
+opened without changing any optimizer or feedback setting and subsequently
+passes at those exact settings.
+
+## Audited KP-2 outcome
+
+The sole frozen full record from source revision `44b110f` passes all seven
+gates:
+
+| metric | KP-2 | frozen requirement/reference |
+|:--|--:|--:|
+| epoch-200 validation accuracy | **91.26%** | at least 88%; matched BP is 91.62% |
+| validation loss | 0.429013 | finite |
+| early-third teaching alignment | 0.999397 | at least 0.80 |
+| final feedback/forward cosine | 0.999663 | at least 0.95 |
+| epoch-151--200 mean feedback cosine | 0.999663 | at least 0.95 |
+| final feedback/forward relative error | 0.025458 | diagnostic |
+| MAC ratio to matched BP | 1.3261x | at most 1.40x |
+| task-loss queries for feedback | 0 | exactly 0 |
+
+Every epoch loss and tracking diagnostic is finite. The run uses
+`1.451874816e15` MACs, 2.163 GB peak allocated memory, and 5579.7 s on a GTX
+1080. It is 0.36 accuracy points below matched BP while using no reverse-mode
+gradient or loss query to train its feedback path. The result opens MT-1 but
+does not change the 5/10 reviewer score: reciprocal KP is inherited substrate,
+not evidence that somato-dendritic innovation is load-bearing.
diff --git a/README.md b/README.md
index 043255c..f855473 100644
--- a/README.md
+++ b/README.md
@@ -58,7 +58,8 @@ and scaling behavior. See `NOVELTY.md` for the exact prior-art boundary.
   run at 10% with NaN validation loss. Its endpoint Q/W cosine nevertheless
   reaches 0.999998, exposing final alignment as an inadequate certificate for
   an intermittent tracker. The separate reciprocal KP short gate reaches
-  82.66% and remains the active strong substrate.
+  82.66%, and its frozen full gate reaches 91.26% versus matched BP's 91.62%
+  with 0.9997 late feedback cosine. It is the active strong substrate.
 - Native author-code fidelity is complete. BurstCCN reaches `80.10%` at its
   validation-selected epoch versus published `82.97 +/- 0.21%`; Dual Prop
   reaches `92.46%` versus published `92.41 +/- 0.07%`. Their audited walls are
@@ -156,11 +157,12 @@ no SDIL novelty credit.
 `RESIDUAL_MIRROR.md` freezes its capture and conditional task gates.
 
 The stronger reciprocal Kolen--Pollack substrate is audited separately in
-`KP_BASELINE.md`. Its short gate passed, while its full frozen baseline is in
-progress. Before that full endpoint, `MIXED_TRAFFIC.md` froze the actual
-Harnett-specific test: raw, norm-matched raw, and innovation under identical
-four-times-RMS soma-predictable apical traffic and predictor cost. Mechanics
-are green; task access remains conditional on the KP full gate.
+`KP_BASELINE.md`. Its short and full frozen gates pass; the full record reaches
+91.26% validation accuracy, 0.9994 early alignment, and 1.326x BP MACs without
+feedback loss queries. Before that full endpoint, `MIXED_TRAFFIC.md` froze the
+actual Harnett-specific test: raw, norm-matched raw, and innovation under
+identical four-times-RMS soma-predictable apical traffic and predictor cost.
+Mechanics are green and MT-1 task access is now open.
 
 The subsequent V3 mechanism estimates the required A/G matrix statistics
 directly by perturbing the vectorizer parameter subspace. It remains
diff --git a/RESULTS.md b/RESULTS.md
index 0a719e4..dfcb352 100644
--- a/RESULTS.md
+++ b/RESULTS.md
@@ -909,6 +909,20 @@ correlation, and remains finite throughout the constant-LR screen. The result
 opens the frozen KP-2 full baseline. It is entirely prior-art baseline evidence
 and does not change the SDIL reviewer score.
 
+The sole frozen 200-epoch KP-2 record also passes every gate:
+
+| method | validation accuracy | early alignment | epoch-151--200 feedback cosine | estimated MACs |
+|:--|--:|--:|--:|--:|
+| KP | **91.26%** | 0.999397 | 0.999663 | 1.4519e15 |
+| matched BP | 91.62% | n/a | exact by construction | 1.0949e15 |
+
+KP-2 ends with finite validation loss `0.429013`, final feedback/forward cosine
+`0.999663`, zero task-loss queries, and `1.3261x` BP MACs. Peak allocated
+memory is 2.163 GB and audited wall time is 5579.7 s on a GTX 1080. This
+establishes a stable, near-BP standard-ResNet substrate and opens the frozen
+mixed-traffic screen. It remains prior-art evidence and therefore leaves the
+reviewer score at 5/10 until innovation itself wins the controlled ablation.
+
 ## 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>`.
diff --git a/REVIEW_SCORECARD.md b/REVIEW_SCORECARD.md
index bf08e18..73fb424 100644
--- a/REVIEW_SCORECARD.md
+++ b/REVIEW_SCORECARD.md
@@ -68,6 +68,7 @@ Every formal result report records:
 | Residual response mirror short gate passes | 5 | RRM reaches 65.08%, within 9.86 points of matched BP, at 0.9969x BP MACs and nearly exact alignment | Opens one full validation run; the inherited baseline still supplies no Harnett-specific evidence |
 | Residual response mirror full gate fails | 5 | RRM ends at 10% with NaN validation loss although endpoint Q/W cosine is 0.999998 | Closes intermittent mirroring and proves endpoint alignment is an inadequate trajectory certificate; KP remains the separate strong substrate |
 | Modified KP short gate passes | 5 | KP reaches 82.66% versus BP's epoch-20 81.02%, with 0.886 early alignment and 1.326x BP MACs | Strongly solves the substrate at useful scale, but all credit belongs to inherited reciprocal plasticity until innovation is load-bearing |
+| Modified KP full gate passes | 5 | KP reaches 91.26% versus matched BP's 91.62%, with 0.9994 early alignment, 0.9997 late feedback cosine, zero queries, and 1.326x BP MACs | Establishes a stable near-BP ResNet substrate and opens MT-1, but inherited KP evidence cannot raise the SDIL score |
 | Mixed-traffic MT-1 | 5 if passed | A frozen short raw/matched/innovation screen must preserve clean-KP utility and show accuracy plus same-state directional gains | One seed and 20 epochs can only open full validation |
 | Mixed-traffic MT-2 | 5 if passed | A full seed-0 panel must reach 88%, stay within 3 points of clean KP, and beat both controls under audited cost | A single development seed still cannot establish acceptance |
 | Mixed-traffic MT-3 | 6 if passed | Five untouched network/traffic draws must retain 88% mean test accuracy and positive confidence-bounded paired gains | Establishes the controlled ResNet innovation claim; natural traffic and broad depth/architecture scaling remain open |
@@ -97,6 +98,7 @@ retroactively reopened by success on standard vision benchmarks.
 | 2026-07-22 / residual response-mirror RRM-2 | Two clean short ResNet records; selected RRM reaches 65.08%, 9.86 points below BP, with 0.9991 early alignment and 0.9969x BP MACs | 5 → 5 | Narrowly opens the full baseline run and strengthens the efficient comparator; the remaining accuracy gap despite near-exact direction warns that alignment is not trajectory equivalence |
 | 2026-07-22 / residual response-mirror RRM-3 | The sole frozen full record reaches only 10%, has NaN validation loss, and peaks at `1.5808e16` training loss despite 0.999998 endpoint Q/W cosine | 5 → 5 | Closes intermittent residual mirroring and turns alignment latency into a measured negative; it neither weakens the surviving SDIL mechanism claim nor supplies positive scale evidence |
 | 2026-07-22 / modified KP-1 | One clean constant-LR ResNet record reaches 82.66%, above BP's epoch-20 81.02%, with 0.8856 early alignment, 0.8546 train-period feedback cosine, zero queries, and 1.326x BP MACs | 5 → 5 | Establishes a stable strong substrate under a gate that observes the training trajectory, but reciprocal Kolen--Pollack plasticity is prior art and adds no Harnett-specific evidence |
+| 2026-07-22 / `2ef7f94` modified KP-2 | One clean full ResNet record reaches 91.26%, 0.36 points below matched BP, with 0.9994 early alignment, 0.9997 late feedback cosine, zero queries, and 1.326x BP MACs | 5 → 5 | Removes substrate stability as the immediate blocker and opens the load-bearing innovation experiment, but prior-art reciprocal plasticity earns no novelty credit |
 | 2026-07-22 / mixed-traffic MT-0 | Exact raw/matched/innovation mechanics pass; synthetic ResNet-20 matched batch peaks at 0.857 GB allocated on GTX 1080 without task data | 5 → 5 | Removes implementation, graph, and memory objections before endpoint access; supplies no evidence yet that innovation is useful |
 
 Future rows are appended only after an audited frozen stage. A score staying flat is informative:
diff --git a/ROADMAP.md b/ROADMAP.md
index 68e1b92..1bf6e32 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -455,8 +455,8 @@ cosine `0.999998`, and norm ratios `[1.0002,1.0024]`. This closes RRM without
 cadence/rate rescue and demonstrates why endpoint cosine cannot substitute for
 a training-trajectory audit. No innovation or test panel opens from RRM.
 
-**Modified Kolen--Pollack baseline protocol: mechanics passed, task gate
-frozen.** The separate local reciprocal correlations, post-observation W/Q
+**Modified Kolen--Pollack baseline protocol: mechanics and both task gates
+passed.** The separate local reciprocal correlations, post-observation W/Q
 independence, and exact symmetric-limit momentum updates all pass at zero
 numerical error. `KP_BASELINE.md` freezes one 20-epoch full-development screen
 with no LR/decay grid and requires both validation accuracy and training-period
@@ -473,6 +473,14 @@ the frozen settings. This strongly repairs the feedback-substrate engineering
 problem but remains inherited Akrout et al. evidence, so the paper score stays
 5/10.
 
+**Modified Kolen--Pollack KP-2 status: passed.** The sole frozen 200-epoch
+record reaches `91.26%` validation accuracy versus matched BP's `91.62%`.
+Early alignment is `0.999397`; final and epoch-151--200 mean feedback/forward
+cosines are both `0.999663`. The complete trajectory is finite, feedback uses
+zero task-loss queries, and cost remains `1.3261x` BP. This opens MT-1 without
+raising the reviewer score because the result is entirely inherited KP
+evidence.
+
 **KP mixed-traffic MT-0 status: mechanics passed; MT-1--MT-3 frozen before
 endpoints.** `MIXED_TRAFFIC.md` fixes a four-to-one, initialization-calibrated
 soma-predictable traffic intervention and crosses raw apical activity,
@@ -486,7 +494,7 @@ MACs, and every control pays the predictor schedule. The synthetic batch-128
 matched path is finite on a GTX 1080 and peaks at 0.857 GB allocated after
 reset; no task endpoint was used for this hardware check.
 
-MT-1 remains sealed until KP-2 passes. A 20-epoch pass opens one full seed-0
+MT-1 is now open after the KP-2 pass. A 20-epoch pass opens one full seed-0
 validation panel but cannot raise the reviewer score; a full pass opens the
 already frozen five-seed, all-50k, one-test-evaluation confirmation. Only the
 complete MT-3 confirmation can move the score from 5/10 to 6/10. This is the