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R12 S9.2 Global Anchor Closure CPU Result

Decision: admit mechanics for one fresh-board neural development experiment

R12_S9_2_GLOBAL_ANCHOR_CLOSURE_CPU_RESULT.mdOpen original Markdown ↗

R12 S9.2 Global Anchor Closure CPU Result

Decision: admit mechanics for one fresh-board neural development experiment

Seed: 7509220561492772015

Closed mechanics rows: 2,048 S9 development rows; no neural checkpoint or sealed confirmation row read

Report SHA-256: 91d653c7e2a131ad7e21319dd72a52dee95c00520fbd59771fe5f7a08fe52e24

Result

All 17 frozen mechanics gates pass.

MechanicResult
Oracle exact graph2,048/2,048
Operation-recoded oracle exact graph2,048/2,048
One weak required root breaks local selection2,048/2,048
Global assignment recovers that weak root2,048/2,048
One extra positive root breaks local cardinality2,048/2,048
Global assignment ignores that extra root2,048/2,048
Uniform-logit abstention2,048/2,048
Flat-positive syntax control exact0/2,048
Shuffled root-score control exact0/2,048
Wrong high-margin root selected2,048/2,048
Wrong high-margin root exact0/2,048
Wrong high-margin count followed2,048/2,048
Wrong high-margin count exact0/2,048
Metadata/target poisoning leaves selection identical2,048/2,048

Every row has at least 632 distinct complete syntax-valid assignments under the measured one-slot lower bound; median is 986 and maximum is 1,459. Thus finite grammar and cardinality do not uniquely reveal the graph. The independent reduced exhaustive solver agrees with interval Viterbi on 10,000/10,000 cases with zero score error.

Instrumentation records zero compiler and executor calls during root optimization. Full decode calls the compiler exactly once and never calls the executor. Deliberately wrong higher model scores are followed into rejection or wrong output rather than repaired from semantics.

The coordinate-free hard-negative orbit loss is exactly zero under identical score multisets, positive when one competitor changes, and has finite nonzero gradients on both views.

Boundary

This admits only the mechanics and anti-leakage boundary. It does not show that learned logits choose the right global assignment, improve S9.1, remain alpha closed, or generalize beyond the templated graph language. Those are frozen fresh-development gates. Confirmation remains sealed.