{"schema_version":"papers/paper-detail-v1","title":"CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies","surface":"papers","opportunity_kernel":{"paper_id":"4011c700-a63c-421c-9dbb-72c4b0efc55a","title":"CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies","authors":["Fan Du","Feng Yan","Jianxiong Wu","Xinrun Xu","Weiye Zhang","Weinong Wang","Yu Guo","Bin Qian","Zhihai He"],"arxiv_id":"2604.24622v1","doi":null,"published_at":"2026-04-27T15:51:40.000Z","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":"2026-04-28T15:06:42.407Z","fresh_until":"2026-05-28T15:06:42.407Z","is_stale":true,"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":"2026-04-28T15:08:03.230Z","fresh_until":"2026-05-12T15:08:03.230Z","is_stale":true,"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":"2026-04-28T15:06:42.407Z","fresh_until":"2026-05-28T15:06:42.407Z","is_stale":true,"source_count":2,"missingness":[]},"market":{"value":5.5,"scale":"0-10","confidence":0.8,"confidence_reason":"Backfilled from distribution_readiness_scores.score.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-28T15:17:28.680Z","fresh_until":"2026-05-12T15:17:28.680Z","is_stale":true,"source_count":1,"missingness":[]},"team":{"value":6.5,"scale":"0-10","confidence":0.42,"confidence_reason":"Heuristic fallback from paper author count and extracted affiliations.","model_version":"phase0-backfill-v1","pipeline_version":"phase0-kernel-v1","computed_at":"2026-04-28T15:06:42.407Z","fresh_until":"2026-05-12T15:06:42.407Z","is_stale":true,"source_count":2,"missingness":[]},"methodology":{"value":3.9,"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":"2026-04-28T15:08:03.230Z","fresh_until":"2026-05-28T15:08:03.230Z","is_stale":true,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"stale","proof_status":"unverified","repo_status":"active","references_count":0,"source_count":4,"coverage":0.6667,"missingness":["references","proof_status"],"unresolved_unknowns":["proof verification has not been recorded yet"],"last_verification_at":"2026-04-28T15:17:28.680Z"},"lineage_hash":"f49f0b6ba904bbb430d24d23f7a84c64526c2ed92017ca9aca796c5fb979c97f"},"distribution":null,"replication_evidence":[],"author_dna":[]}