{"schema_version":"papers/paper-detail-v1","title":"S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models","surface":"papers","opportunity_kernel":{"paper_id":"15b4c416-e7e6-442c-b6d8-2ca25b62a8dc","title":"S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models","authors":["Jack Young"],"arxiv_id":"2604.01168v1","doi":null,"published_at":"2026-04-01T17:21:15.000Z","score_object":{"overall":{"value":8,"scale":"0-10","confidence":0.85,"confidence_reason":"Backfilled from persisted papers.viability_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T20:55:03.732Z","fresh_until":"2026-05-02T20:55:03.732Z","is_stale":true,"source_count":1,"missingness":[]},"technical":{"value":6.4,"scale":"0-10","confidence":0.7,"confidence_reason":"Backfilled from deployability_scores.score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-03T20:30:36.730Z","fresh_until":"2026-04-17T20:30:36.730Z","is_stale":true,"source_count":2,"missingness":["reproducibility_results.reproducibility_score"]},"commercial":{"value":5,"scale":"0-10","confidence":0.75,"confidence_reason":"Backfilled from persisted commercial_flags and repo availability.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T20:55:03.732Z","fresh_until":"2026-05-02T20:55:03.732Z","is_stale":true,"source_count":2,"missingness":[]},"market":{"value":3.9,"scale":"0-10","confidence":0.34,"confidence_reason":"Estimated from commercial flags, repo presence, author coverage, and market-language heuristics because no persisted distribution_readiness_scores row was available.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T20:55:03.732Z","fresh_until":"2026-04-16T20:55:03.732Z","is_stale":true,"source_count":4,"missingness":["distribution_readiness_scores.score"]},"team":{"value":3.5,"scale":"0-10","confidence":0.31,"confidence_reason":"Estimated from author count, repo presence, and summary coverage because no persisted team-quality evidence was available.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T20:55:03.732Z","fresh_until":"2026-04-16T20:55:03.732Z","is_stale":true,"source_count":3,"missingness":["engineer_profiles.builder_score","author_startups"]},"methodology":{"value":7.01,"scale":"0-10","confidence":0.82,"confidence_reason":"Backfilled from paper_extraction_scorecards.total_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-02T20:56:52.995Z","fresh_until":"2026-05-02T20:56:52.995Z","is_stale":true,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"stale","proof_status":"verified","repo_status":"active","references_count":6,"source_count":4,"coverage":0.8333,"missingness":["distribution_readiness_scores"],"unresolved_unknowns":["distribution readiness has not been computed yet"],"last_verification_at":"2026-04-03T20:30:36.730Z"},"lineage_hash":"f7eec1e6e42b6a393552046454f8e5bd1dafedb35e26398831269dbe8a90801e"},"distribution":null,"replication_evidence":[],"author_dna":[]}