{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RJWFEF4Y2UVVWM2AOGDDORTX4P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ed6312a5bf96c5d414052b1a015c2b75101842c41757a90bee477e5700e378b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-10T09:37:01Z","title_canon_sha256":"f81b80731c861c496df1c7cb725fb1a27d26388ca4e73c164fde5207856f3d5b"},"schema_version":"1.0","source":{"id":"2410.07757","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07757","created_at":"2026-07-05T09:18:43Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07757v1","created_at":"2026-07-05T09:18:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07757","created_at":"2026-07-05T09:18:43Z"},{"alias_kind":"pith_short_12","alias_value":"RJWFEF4Y2UVV","created_at":"2026-07-05T09:18:43Z"},{"alias_kind":"pith_short_16","alias_value":"RJWFEF4Y2UVVWM2A","created_at":"2026-07-05T09:18:43Z"},{"alias_kind":"pith_short_8","alias_value":"RJWFEF4Y","created_at":"2026-07-05T09:18:43Z"}],"graph_snapshots":[{"event_id":"sha256:5cc67ac12f42f28aba255bbd279a44fccf20d259d26ca4e16c906b899edd92fd","target":"graph","created_at":"2026-07-05T09:18:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.07757/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D facial animation has attracted considerable attention due to its extensive applications in the multimedia field. Audio-driven 3D facial animation has been widely explored with promising results. However, multi-modal 3D facial animation, especially text-guided 3D facial animation is rarely explored due to the lack of multi-modal 3D facial animation dataset. To fill this gap, we first construct a large-scale multi-modal 3D facial animation dataset, MMHead, which consists of 49 hours of 3D facial motion sequences, speech audios, and rich hierarchical text annotations. Each text annotation cont","authors_text":"Guangtao Zhai, Huiyu Duan, Sijing Wu, Yichao Yan, Yunhao Li, Ziwei Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-10T09:37:01Z","title":"MMHead: Towards Fine-grained Multi-modal 3D Facial Animation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07757","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6f4c25971eacba8ad131f061d9c45bacce09c57b4d25868e3e8eeb3e297b1d9f","target":"record","created_at":"2026-07-05T09:18:43Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ed6312a5bf96c5d414052b1a015c2b75101842c41757a90bee477e5700e378b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-10T09:37:01Z","title_canon_sha256":"f81b80731c861c496df1c7cb725fb1a27d26388ca4e73c164fde5207856f3d5b"},"schema_version":"1.0","source":{"id":"2410.07757","kind":"arxiv","version":1}},"canonical_sha256":"8a6c521798d52b5b33407186374677e3c598406d409752db86285f7d9d815fb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a6c521798d52b5b33407186374677e3c598406d409752db86285f7d9d815fb4","first_computed_at":"2026-07-05T09:18:43.216393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:43.216393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PiO+JaczSmG5SXLNjuRI1kYVjbu3Q8/us1iyIhnNs8KCSCG5yhHz4UaLkGI2pN2ZGUVBtx+ae9B25Gz6kX0BDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:43.216893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07757","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f4c25971eacba8ad131f061d9c45bacce09c57b4d25868e3e8eeb3e297b1d9f","sha256:5cc67ac12f42f28aba255bbd279a44fccf20d259d26ca4e16c906b899edd92fd"],"state_sha256":"11a9bd82a11fcbeec72d84d0ec43625d8a62bc222842dc419636e19d09e08e80"}