Observed-context result: frozen comparison and independent replay

Publishes #84's second frozen 8,640-episode comparison and corrected independent replay. The observed-example adapter is measured at ff9a0f3 / code-v97; the repaired auditor is be79fe9 / code-v98. Both source scopes and the original failed audit are retained without rewriting measurements.

At budget 144, context-conditioned persistent SNN accepts 390/864 repeated task/order/seed attempts versus frozen 395, reset 425 and same-run streaming 414. The previous no-context persistent count was 378. All gates fail in all six orders. The small descriptive change does not establish that the persistent-learning regression is fixed.

The cold fixed encoder represents 48 contexts with only 10/6/8 distinct LIF codes across seeds, versus 48 for each continuous control. At full grammar, persistent SNN saves 2.7% pooled candidates but uses 4.29 times streaming CPU; reset saves 13.7% but uses 3.89 times CPU. No SNN-specific, total-work or hardware-energy gain is demonstrated.

Verification: all 8,640 episodes independently replayed, eight corruption controls rejected, measured execution-source hashes preserved. The corrected checkout differs only in the auditor and its test, recorded in auditor-repair.json. All 436 fast tests passed in 235.965 s; 62 affected tests passed in 0.204 s. No skips/exclusions; checks ran serially under the builder lock. Slow/retry and local full discovery were not rerun for this additive path. Newer full CI remains pending and tracked separately.

The adapter stays opt-in. #84 remains open for encoder/reward/exposure mechanisms and real sensor/hardware contracts. Original ranking and pilot results, both frozen input corpora and the first counterbalanced result remain intact.