{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4IP7SKWF4N5M5SKDR3KXSRUQF2","short_pith_number":"pith:4IP7SKWF","schema_version":"1.0","canonical_sha256":"e21ff92ac5e37acec9438ed57946902eae28b1c65af08503a1c73389c86a3641","source":{"kind":"arxiv","id":"2507.19836","version":1},"attestation_state":"computed","paper":{"title":"ChoreoMuse: Robust Music-to-Dance Video Generation with Style Transfer and Beat-Adherent Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.MM","cs.SD"],"primary_cat":"cs.GR","authors_text":"Heng Wang, Weidong Cai, Xuanchen Wang","submitted_at":"2025-07-26T07:17:50Z","abstract_excerpt":"Modern artistic productions increasingly demand automated choreography generation that adapts to diverse musical styles and individual dancer characteristics. Existing approaches often fail to produce high-quality dance videos that harmonize with both musical rhythm and user-defined choreography styles, limiting their applicability in real-world creative contexts. To address this gap, we introduce ChoreoMuse, a diffusion-based framework that uses SMPL format parameters and their variation version as intermediaries between music and video generation, thereby overcoming the usual constraints imp"},"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":"2507.19836","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-07-26T07:17:50Z","cross_cats_sorted":["cs.AI","cs.CV","cs.MM","cs.SD"],"title_canon_sha256":"9ad0d38b701b0b6d0512f574549c467e5a4c722aeb155aab890322cdfe8c88e1","abstract_canon_sha256":"198028110df48349bac310ed3edc78c8f6b90b0be11ec07a56d504f54149851d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:42.911925Z","signature_b64":"041ZFe1JHY0/usPYXq3b8iv7XBK0UXP4+zztqFh0tB1UpTvtrjx+vNb5hqgmnywhjb3XzGtsinMh+bqCfdycDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e21ff92ac5e37acec9438ed57946902eae28b1c65af08503a1c73389c86a3641","last_reissued_at":"2026-07-05T11:43:42.911531Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:42.911531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ChoreoMuse: Robust Music-to-Dance Video Generation with Style Transfer and Beat-Adherent Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.MM","cs.SD"],"primary_cat":"cs.GR","authors_text":"Heng Wang, Weidong Cai, Xuanchen Wang","submitted_at":"2025-07-26T07:17:50Z","abstract_excerpt":"Modern artistic productions increasingly demand automated choreography generation that adapts to diverse musical styles and individual dancer characteristics. Existing approaches often fail to produce high-quality dance videos that harmonize with both musical rhythm and user-defined choreography styles, limiting their applicability in real-world creative contexts. To address this gap, we introduce ChoreoMuse, a diffusion-based framework that uses SMPL format parameters and their variation version as intermediaries between music and video generation, thereby overcoming the usual constraints imp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19836","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/2507.19836/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":"2507.19836","created_at":"2026-07-05T11:43:42.911589+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.19836v1","created_at":"2026-07-05T11:43:42.911589+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19836","created_at":"2026-07-05T11:43:42.911589+00:00"},{"alias_kind":"pith_short_12","alias_value":"4IP7SKWF4N5M","created_at":"2026-07-05T11:43:42.911589+00:00"},{"alias_kind":"pith_short_16","alias_value":"4IP7SKWF4N5M5SKD","created_at":"2026-07-05T11:43:42.911589+00:00"},{"alias_kind":"pith_short_8","alias_value":"4IP7SKWF","created_at":"2026-07-05T11:43:42.911589+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/4IP7SKWF4N5M5SKDR3KXSRUQF2","json":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2.json","graph_json":"https://pith.science/api/pith-number/4IP7SKWF4N5M5SKDR3KXSRUQF2/graph.json","events_json":"https://pith.science/api/pith-number/4IP7SKWF4N5M5SKDR3KXSRUQF2/events.json","paper":"https://pith.science/paper/4IP7SKWF"},"agent_actions":{"view_html":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2","download_json":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2.json","view_paper":"https://pith.science/paper/4IP7SKWF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.19836&json=true","fetch_graph":"https://pith.science/api/pith-number/4IP7SKWF4N5M5SKDR3KXSRUQF2/graph.json","fetch_events":"https://pith.science/api/pith-number/4IP7SKWF4N5M5SKDR3KXSRUQF2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2/action/storage_attestation","attest_author":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2/action/author_attestation","sign_citation":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2/action/citation_signature","submit_replication":"https://pith.science/pith/4IP7SKWF4N5M5SKDR3KXSRUQF2/action/replication_record"}},"created_at":"2026-07-05T11:43:42.911589+00:00","updated_at":"2026-07-05T11:43:42.911589+00:00"}