26 — Human Review Protocol
When to trigger human review
Trigger review when:
- high chiral tension and high stakes;
- access gaps block strict claims;
- predicate invention proposes high-impact latent context;
- residual contradiction remains high;
- calibration confidence is poor;
- strict claims are impossible but likely claims are decision-relevant;
- critic ensemble deadlocks.
Review packet
A review packet includes:
- input SNOs;
- synthesized SNO;
- Antagonist report;
- proof traces;
- evidence spans;
- access states;
- residual tensor summary;
- latent predicates;
- possible worlds;
- model/run manifest.
Reviewer actions
Reviewer can:
- accept strict claims;
- downgrade likely claims;
- reject unsupported claims;
- mark latent predicate as plausible / unsupported / wrong;
- request evidence collection;
- mark access-state assumptions;
- annotate synthesis quality.
How review affects the system
Human review may be used:
- as post-run annotation;
- as calibration data;
- as training data in future offline runs.
Human review is recorded after runtime unless the run is explicitly marked as a review or retraining step.
Review labels
accepteddowngradedrejectedneeds_evidenceaccess_blockedpredicate_plausiblepredicate_unsupportedsynthesis_overclaimssynthesis_preserves_conflict