{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:ETQFGFGRKSAO2KUOOYU6VZQY6Z","short_pith_number":"pith:ETQFGFGR","schema_version":"1.0","canonical_sha256":"24e05314d15480ed2a8e7629eae618f65ce1ace4143b1da4d7a630ac0f16d371","source":{"kind":"arxiv","id":"2312.04369","version":3},"attestation_state":"computed","paper":{"title":"SingingHead: A Large-scale 4D Dataset for Singing Head Animation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guangtao Zhai, Jun Jia, Sijing Wu, Weitian Zhang, Xiaokang Yang, Yichao Yan, Yucheng Zhu, Yunhao Li","submitted_at":"2023-12-07T15:40:36Z","abstract_excerpt":"Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communication, art, and entertainment. However, it is often overlooked in the field of audio-driven facial animation due to the lack of singing head datasets and the domain gap between singing and talking in rhythm and amplitude. To this end, we collect a high-quality large-scale singing head dataset, SingingHead, which consists of more than 27 hours of synchronized singing video, 3D facial motion, singing audio, and backgrou"},"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":"2312.04369","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T15:40:36Z","cross_cats_sorted":[],"title_canon_sha256":"839c2eb815720461f1f27e518cdd7350e6eba904b736300843b9c3e97f508232","abstract_canon_sha256":"ad96d959ad035bdf543b3eedca99d9d7621bf53b2ab6e702861d498493a1d7bc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:24.650425Z","signature_b64":"e18WpRd0lU6/ce/iNr9dON67M+9VYuDUxRY5lZDgSGn/3EirwGMBRgBmiWKk9AoFA6+2KdTvDcOZ1XuFVJHMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24e05314d15480ed2a8e7629eae618f65ce1ace4143b1da4d7a630ac0f16d371","last_reissued_at":"2026-07-05T08:43:24.649953Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:24.649953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SingingHead: A Large-scale 4D Dataset for Singing Head Animation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guangtao Zhai, Jun Jia, Sijing Wu, Weitian Zhang, Xiaokang Yang, Yichao Yan, Yucheng Zhu, Yunhao Li","submitted_at":"2023-12-07T15:40:36Z","abstract_excerpt":"Singing, as a common facial movement second only to talking, can be regarded as a universal language across ethnicities and cultures, plays an important role in emotional communication, art, and entertainment. However, it is often overlooked in the field of audio-driven facial animation due to the lack of singing head datasets and the domain gap between singing and talking in rhythm and amplitude. To this end, we collect a high-quality large-scale singing head dataset, SingingHead, which consists of more than 27 hours of synchronized singing video, 3D facial motion, singing audio, and backgrou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04369","kind":"arxiv","version":3},"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/2312.04369/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":"2312.04369","created_at":"2026-07-05T08:43:24.650011+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.04369v3","created_at":"2026-07-05T08:43:24.650011+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04369","created_at":"2026-07-05T08:43:24.650011+00:00"},{"alias_kind":"pith_short_12","alias_value":"ETQFGFGRKSAO","created_at":"2026-07-05T08:43:24.650011+00:00"},{"alias_kind":"pith_short_16","alias_value":"ETQFGFGRKSAO2KUO","created_at":"2026-07-05T08:43:24.650011+00:00"},{"alias_kind":"pith_short_8","alias_value":"ETQFGFGR","created_at":"2026-07-05T08:43:24.650011+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.02278","citing_title":"Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z","json":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z.json","graph_json":"https://pith.science/api/pith-number/ETQFGFGRKSAO2KUOOYU6VZQY6Z/graph.json","events_json":"https://pith.science/api/pith-number/ETQFGFGRKSAO2KUOOYU6VZQY6Z/events.json","paper":"https://pith.science/paper/ETQFGFGR"},"agent_actions":{"view_html":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z","download_json":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z.json","view_paper":"https://pith.science/paper/ETQFGFGR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.04369&json=true","fetch_graph":"https://pith.science/api/pith-number/ETQFGFGRKSAO2KUOOYU6VZQY6Z/graph.json","fetch_events":"https://pith.science/api/pith-number/ETQFGFGRKSAO2KUOOYU6VZQY6Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z/action/storage_attestation","attest_author":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z/action/author_attestation","sign_citation":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z/action/citation_signature","submit_replication":"https://pith.science/pith/ETQFGFGRKSAO2KUOOYU6VZQY6Z/action/replication_record"}},"created_at":"2026-07-05T08:43:24.650011+00:00","updated_at":"2026-07-05T08:43:24.650011+00:00"}