nv-recall (Stanford Algorithm 1)

Description

Non-verbatim recall measurement. Replaces exact-match with semantic-equivalence scoring under a calibrated neighborhood, recovering memorization signal that survives stylistic rewriting and translation.

Technical signature

in: (model, work) → out: { nv_recall_score, matched_blocks[], confidence_interval }

Adversarial robustness

Calibrated against a 5,000-pair distractor set; reports BCa bootstrap CIs.

Daubert eligibility

Method is peer-reviewed, has published error rates, and is reproducible from the chain-of-custody hash. Eligible for Tier-A admissibility packaging. Ultimate admissibility is the court's determination.