{"schema_version":"papers/paper-detail-v1","title":"OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation","surface":"papers","opportunity_kernel":{"paper_id":"fc8c9aaf-1b78-462c-b6c6-85e548e44857","title":"OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation","authors":["Haochen Yang","Ke Zhao","Mengyuan Ma","Xingyu Lu","Xiangfeng Wang","Hong Qian"],"arxiv_id":"2605.29829v1","doi":null,"published_at":"2026-05-28T12:07:28.000Z","score_object":{"overall":{"value":7,"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":"2026-05-29T20:13:12.447Z","fresh_until":"2026-06-28T20:13:12.447Z","is_stale":false,"source_count":1,"missingness":[]},"technical":{"value":1.4,"scale":"0-10","confidence":0.55,"confidence_reason":"Backfilled from paper_extraction_scorecards.reconstruction_score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-05-29T20:34:20.702Z","fresh_until":"2026-06-12T20:34:20.702Z","is_stale":false,"source_count":1,"missingness":["reproducibility_results.reproducibility_score","deployability_scores.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":"2026-05-29T20:13:12.447Z","fresh_until":"2026-06-28T20:13:12.447Z","is_stale":false,"source_count":2,"missingness":[]},"market":{"value":5.9,"scale":"0-10","confidence":0.45,"confidence_reason":"Heuristic market score materialized from paper metadata, repo availability, and deployability.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-05-29T20:43:46.819Z","fresh_until":"2026-06-12T20:43:46.819Z","is_stale":false,"source_count":1,"missingness":[]},"team":{"value":4.7,"scale":"0-10","confidence":0.28,"confidence_reason":"Heuristic fallback from paper author count.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-05-29T20:13:12.447Z","fresh_until":"2026-06-12T20:13:12.447Z","is_stale":false,"source_count":1,"missingness":["paper_author_affiliations"]},"methodology":{"value":4.7,"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":"2026-05-29T20:19:07.218Z","fresh_until":"2026-06-28T20:19:07.218Z","is_stale":false,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"fresh","proof_status":"partial","repo_status":"active","references_count":0,"source_count":4,"coverage":0.8333,"missingness":["references"],"unresolved_unknowns":[],"last_verification_at":"2026-05-29T20:34:20.702Z"},"lineage_hash":"5a6282a12e4919a14358b61e2a15a444e161b7c8c716502fa762b71042045ca5"},"distribution":null,"replication_evidence":[],"author_dna":[]}