{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C033","selector_replication":2,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":75,"causal_archetype_fit":90,"distinctiveness_prior_art_resilience":58,"operational_specificity":92,"falsifiability_test_quality":92,"adopter_partner_path":72,"deployability_complexity":82,"authority_safety_reversibility":95,"strict_potential":63,"empirical_partner_potential":84,"scrutiny_priority":75,"biggest_visible_risk":"The proposal assumes maintainers routinely inspect voluminous theorem-level migration records and that a predictor can safely characterize semantically heterogeneous downstream effects; either premise may fail.","rationale":"The complete-checker separation, frozen predictions, typed residuals, protected bypasses, audits, and component decompression make the archetype causally central and the shadow replay highly falsifiable. Its strongest lane is a library partner with archived migrations. Strict survival is limited by the uncertain magnitude of the review-attention problem, high model-maintenance burden, and close functional adjacency to dependency-impact analysis and grouped checker reports."},{"blind_id":"CANDIDATE_B","problem_reality_importance":70,"causal_archetype_fit":88,"distinctiveness_prior_art_resilience":49,"operational_specificity":91,"falsifiability_test_quality":93,"adopter_partner_path":70,"deployability_complexity":76,"authority_safety_reversibility":94,"strict_potential":56,"empirical_partner_potential":81,"scrutiny_priority":68,"biggest_visible_risk":"Because every object is still computed, the proposal may add atlas construction, synchronization, auditing, and triage costs merely to replace manageable full tables and ordinary aggregation.","rationale":"The bounded family, explicit missingness, reconstructible residuals, protected predicate failures, manifests, and untouched evaluation partition support a strong partner experiment. However, the claimed bottleneck is niche and the atlas can suppress precisely the unfamiliar mathematical structure researchers seek. The remaining contrast may also collapse toward model-based anomaly filtering plus full-result auditing."},{"blind_id":"CANDIDATE_C","problem_reality_importance":61,"causal_archetype_fit":86,"distinctiveness_prior_art_resilience":44,"operational_specificity":91,"falsifiability_test_quality":93,"adopter_partner_path":78,"deployability_complexity":65,"authority_safety_reversibility":96,"strict_potential":53,"empirical_partner_potential":77,"scrutiny_priority":64,"biggest_visible_risk":"The central problem premise is weak: reviewers may not ordinarily store, exchange, or inspect every complete intermediate proof state, so transcript compression may optimize an artificial workflow.","rationale":"This is the safest and easiest proposal to replay because kernel authority remains untouched and archived transcripts permit exact reconstruction tests. Nevertheless, the intervention resembles predictive state differencing with governance controls, while full-state anchors and audit retention reduce its storage advantage. If routine proof-state traversal is not a consequential burden, even an excellent technical result would have little adoption value."},{"blind_id":"CANDIDATE_D","problem_reality_importance":86,"causal_archetype_fit":94,"distinctiveness_prior_art_resilience":36,"operational_specificity":94,"falsifiability_test_quality":95,"adopter_partner_path":76,"deployability_complexity":84,"authority_safety_reversibility":91,"strict_potential":60,"empirical_partner_potential":92,"scrutiny_priority":80,"biggest_visible_risk":"Its core predictor-corrector loop is visibly close to ordinary validated continuation, so scrutiny may find that residual transport, audits, and governance do not sustain a meaningful contrastive claim.","rationale":"The mathematical problem is consequential, the local prediction-error mechanism is essential, and branch loss, singularities, root-count changes, missing cells, reconstruction failures, and total cost all create decisive tests. Independent certificate verification, cold-start audits, bounded anchors, and rollback make a partner study credible despite substantial complexity. Its best lane is empirical: a validated-numerics group can directly determine whether the governed residual representation saves capacity without losing certified coverage."}],"rank_order":["CANDIDATE_D","CANDIDATE_A","CANDIDATE_B","CANDIDATE_C"],"top_choice":"CANDIDATE_D","portfolio_observation":"All four proposals are unusually specific, reversible, and testable, but each preserves the underlying full computation and therefore must justify added prediction, synchronization, audit, and fallback costs through attention, transfer, or storage savings. D has the strongest consequential problem and decisive partner test; A has the best alternative balance of architectural contrast and bounded evaluation. B and C are more vulnerable to the possibility that ordinary tables, aggregation, folding, or diffs already make the stated attention problem too small.","confidence":"MODERATE"}