{"schema_version":"papers/paper-detail-v1","title":"Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Prompt","surface":"papers","opportunity_kernel":{"paper_id":"b48d0662-230b-49a6-aa65-ceec169c28ac","title":"Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Prompt","authors":["Yanfeng Shi","Pengfei Cai","Jun Liu","Qing Gu","Nan Jiang","Lirong Dai","Ian McLoughlin","Yan Song"],"arxiv_id":"2604.13715v1","doi":null,"published_at":"2026-04-15T10:50:29.000Z","score_object":{"overall":{"value":5,"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":"2026-04-16T18:06:37.750Z","fresh_until":"2026-05-16T18:06:37.750Z","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":"2026-04-16T18:08:00.931Z","fresh_until":"2026-04-30T18:08:00.931Z","is_stale":true,"source_count":1,"missingness":["reproducibility_results.reproducibility_score","deployability_scores.score"]},"commercial":{"value":4,"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":"2026-04-16T18:06:37.750Z","fresh_until":"2026-05-16T18:06:37.750Z","is_stale":true,"source_count":1,"missingness":[]},"market":{"value":2,"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":"2026-04-16T18:20:15.058Z","fresh_until":"2026-04-30T18:20:15.058Z","is_stale":true,"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":"2026-04-16T18:06:37.750Z","fresh_until":"2026-04-30T18:06:37.750Z","is_stale":true,"source_count":1,"missingness":["paper_author_affiliations"]},"methodology":{"value":3.65,"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":"2026-04-16T18:08:00.931Z","fresh_until":"2026-05-16T18:08:00.931Z","is_stale":true,"source_count":2,"missingness":[]}},"evidence_receipt":{"freshness":"stale","proof_status":"unverified","repo_status":"missing","references_count":0,"source_count":3,"coverage":0.5,"missingness":["repo_url","references","proof_status"],"unresolved_unknowns":["proof verification has not been recorded yet"],"last_verification_at":"2026-04-16T18:20:15.058Z"},"lineage_hash":"006f3feccaa3e532b1e184da08d7a12ebcea96c63ccdd10644e6e4e16cae2cbe"},"distribution":null,"replication_evidence":[],"author_dna":[]}