{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:5S224X7662RFCIGSBAZ6CKUKDB","short_pith_number":"pith:5S224X76","schema_version":"1.0","canonical_sha256":"ecb5ae5ffef6a25120d20833e12a8a185281f3f3fc91f2022066638c08bf68a9","source":{"kind":"arxiv","id":"2507.06670","version":1},"attestation_state":"computed","paper":{"title":"STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Changhao Pan, Fei Wu, Ruiqi Li, Wenhao Xu, Wenxiang Guo, Yu Zhang, Zhetao Chen, Zhiyuan Zhu, Zhou Zhao","submitted_at":"2025-07-09T08:59:32Z","abstract_excerpt":"Recent breakthroughs in singing voice synthesis (SVS) have heightened the demand for high-quality annotated datasets, yet manual annotation remains prohibitively labor-intensive and resource-intensive. Existing automatic singing annotation (ASA) methods, however, primarily tackle isolated aspects of the annotation pipeline. To address this fundamental challenge, we present STARS, which is, to our knowledge, the first unified framework that simultaneously addresses singing transcription, alignment, and refined style annotation. Our framework delivers comprehensive multi-level annotations encomp"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.06670","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-09T08:59:32Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"d381aa9906bbab72074fa2c92f3140e378725e40ac6cff7f46371c45df7ec820","abstract_canon_sha256":"fbaeb377a555a907b871b2d2fe45f4c3f00879e7151d3912202632e1af1ec28c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:20.748997Z","signature_b64":"qU2dj/xOpboVAfJSAWpf4uG5T9cU38z7dnJQmDGXxYtdiOmUcGHQbAVad3jj4oMZBe2SaieHQE9uW9QCW8zxCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecb5ae5ffef6a25120d20833e12a8a185281f3f3fc91f2022066638c08bf68a9","last_reissued_at":"2026-07-05T11:34:20.748448Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:20.748448Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Changhao Pan, Fei Wu, Ruiqi Li, Wenhao Xu, Wenxiang Guo, Yu Zhang, Zhetao Chen, Zhiyuan Zhu, Zhou Zhao","submitted_at":"2025-07-09T08:59:32Z","abstract_excerpt":"Recent breakthroughs in singing voice synthesis (SVS) have heightened the demand for high-quality annotated datasets, yet manual annotation remains prohibitively labor-intensive and resource-intensive. Existing automatic singing annotation (ASA) methods, however, primarily tackle isolated aspects of the annotation pipeline. To address this fundamental challenge, we present STARS, which is, to our knowledge, the first unified framework that simultaneously addresses singing transcription, alignment, and refined style annotation. Our framework delivers comprehensive multi-level annotations encomp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06670","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.06670/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.06670","created_at":"2026-07-05T11:34:20.748507+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.06670v1","created_at":"2026-07-05T11:34:20.748507+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06670","created_at":"2026-07-05T11:34:20.748507+00:00"},{"alias_kind":"pith_short_12","alias_value":"5S224X7662RF","created_at":"2026-07-05T11:34:20.748507+00:00"},{"alias_kind":"pith_short_16","alias_value":"5S224X7662RFCIGS","created_at":"2026-07-05T11:34:20.748507+00:00"},{"alias_kind":"pith_short_8","alias_value":"5S224X76","created_at":"2026-07-05T11:34:20.748507+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB","json":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB.json","graph_json":"https://pith.science/api/pith-number/5S224X7662RFCIGSBAZ6CKUKDB/graph.json","events_json":"https://pith.science/api/pith-number/5S224X7662RFCIGSBAZ6CKUKDB/events.json","paper":"https://pith.science/paper/5S224X76"},"agent_actions":{"view_html":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB","download_json":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB.json","view_paper":"https://pith.science/paper/5S224X76","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.06670&json=true","fetch_graph":"https://pith.science/api/pith-number/5S224X7662RFCIGSBAZ6CKUKDB/graph.json","fetch_events":"https://pith.science/api/pith-number/5S224X7662RFCIGSBAZ6CKUKDB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB/action/storage_attestation","attest_author":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB/action/author_attestation","sign_citation":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB/action/citation_signature","submit_replication":"https://pith.science/pith/5S224X7662RFCIGSBAZ6CKUKDB/action/replication_record"}},"created_at":"2026-07-05T11:34:20.748507+00:00","updated_at":"2026-07-05T11:34:20.748507+00:00"}