{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:TM2S4C4H7TZTXU7FYYO7GPJDE6","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":"343dceebe9e477d0a69bfcbe231ecd5fb24a0469a674385d4bbd292c73812c30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-08T14:16:37Z","title_canon_sha256":"511f115e7a70c112a90aa353ddf61bb51b458c9a7756ba5266f312b3b8ec937e"},"schema_version":"1.0","source":{"id":"1905.03079","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03079","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03079v1","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03079","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"TM2S4C4H7TZT","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"TM2S4C4H7TZTXU7F","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"TM2S4C4H","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:d2fabdcaf5fabd38047caa2b80bd4a9f9ef1fe27f6062839df09004acf539bbd","target":"graph","created_at":"2026-05-17T23:46:42Z","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"},"paper":{"abstract_excerpt":"Audio-driven 3D facial animation has been widely explored, but achieving realistic, human-like performance is still unsolved. This is due to the lack of available 3D datasets, models, and standard evaluation metrics. To address this, we introduce a unique 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio from 12 speakers. We then train a neural network on our dataset that factors identity from facial motion. The learned model, VOCA (Voice Operated Character Animation) takes any speech signal as input - even speech in languages other than English - and ","authors_text":"Anurag Ranjan, Cassidy Laidlaw, Daniel Cudeiro, Michael J. Black, Timo Bolkart","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-08T14:16:37Z","title":"Capture, Learning, and Synthesis of 3D Speaking Styles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03079","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":"sha256:7177d031ed901bd073582a10d8f81e243d55b2f2c9d1e29663378fba9a99cb9e","target":"record","created_at":"2026-05-17T23:46:42Z","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":"343dceebe9e477d0a69bfcbe231ecd5fb24a0469a674385d4bbd292c73812c30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-08T14:16:37Z","title_canon_sha256":"511f115e7a70c112a90aa353ddf61bb51b458c9a7756ba5266f312b3b8ec937e"},"schema_version":"1.0","source":{"id":"1905.03079","kind":"arxiv","version":1}},"canonical_sha256":"9b352e0b87fcf33bd3e5c61df33d2327befa247d53364bf7f1c8cf258e0735e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b352e0b87fcf33bd3e5c61df33d2327befa247d53364bf7f1c8cf258e0735e5","first_computed_at":"2026-05-17T23:46:42.934438Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:42.934438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"je9iHKoqwlkpEfa8p/IRVjPMLn1kwUDRiGEccoVG8+VbJuN63lDzUubnZXPOR0kxgsGxy99RRWvm/Q2/3a4jAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:42.934918Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.03079","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7177d031ed901bd073582a10d8f81e243d55b2f2c9d1e29663378fba9a99cb9e","sha256:d2fabdcaf5fabd38047caa2b80bd4a9f9ef1fe27f6062839df09004acf539bbd"],"state_sha256":"f8bf8cfaf727815caf999bc2729bbbd5928d9a2d8518daef5ef50aed7bbfad2c"}