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Merge current main into PR 107 branch - #109

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erinepshovel-code merged 10 commits into
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Jul 12, 2026
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erinepshovel-code merged 10 commits into
claude/find-what-done-like-like-c4bkxlfrom
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Conflict-resolution merge for PR #107. The only overlapping file was ucns/__init__.py; its branch version now preserves both the canonical serialized evidence-envelope exports already on main and PR #107's distinct bridge/proof-status exports. Merge this PR to record current main as an ancestor of PR #107's head branch.

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erinepshovel-code merged commit 27c004b into claude/find-what-done-like-like-c4bkxl Jul 12, 2026
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Comment thread ucns/evidence_envelope.py
Comment on lines +409 to +412
"coverage_validated": self.coverage_record_validated,
"coverage_bound": self.coverage_bound_to_search_report,
"pruning_preserves_coverage": self.pruning_preserves_coverage,
"no_uncertified_reasons": not self.uncertified_reasons,

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P1 Badge Require positive catalogue coverage for certified negatives

For records deserialized from JSON, an incomplete-catalogue result such as factorization_evidence(S2, catalogue=[]) still has coverage_record_validated and coverage_bound_to_search_report set because the coverage record accurately matches the supplied catalogue, even though catalogue_coverage_status is uncertified. Since this certification check does not require the status to be canonical-exact or canonical-superset, a record can flip negative_result_certified/seq_prime_is_absolute to true, clear uncertified_reasons, recompute the digest, and pass from_dict() as certified SEQ-PRIME despite missing required catalogue coverage.

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Comment thread ucns/evidence_envelope.py
"not_truncated": not self.truncation_occurred,
"coverage_validated": self.coverage_record_validated,
"coverage_bound": self.coverage_bound_to_search_report,
"pruning_preserves_coverage": self.pruning_preserves_coverage,

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P1 Badge Verify pruning rule before certifying negatives

When deserializing certified evidence, this only trusts the serialized pruning_preserves_coverage boolean and never checks that the pruning metadata is either the no-pruning case or the exact built-in rule accepted by factorization_result._pruning_is_recognized. A record can therefore set pruning_applied=True, use an arbitrary pruning_rule/version that may have removed candidates, keep this boolean true, recompute the digest, and still pass from_dict() as a certified negative result.

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Comment thread ucns/evidence_envelope.py
Comment on lines +405 to +409
certification_requirements = {
"complete_domain": self.completeness_guaranteed,
"search_exhausted": self.search_exhausted,
"not_truncated": not self.truncation_occurred,
"coverage_validated": self.coverage_record_validated,

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P1 Badge Reject unit-domain certified negatives

The certification requirements do not exclude the depth-0 unit domain, even though factorization_result() explicitly treats UNIT as the multiplicative identity rather than a primality candidate. A serialized factorization_evidence(UNIT) record can set the search/coverage/pruning booleans true, clear uncertified_reasons, recompute the digest, and then from_dict() accepts it as certified SEQ-PRIME for the unit hash.

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