{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QC7GML3JD6KS5DXP2ZCK7BU4ZU","short_pith_number":"pith:QC7GML3J","canonical_record":{"source":{"id":"1904.07002","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-15T12:42:43Z","cross_cats_sorted":[],"title_canon_sha256":"3b6f681e2f22c46d81abf44955dcb70e114e91c5831575f539ba01b2320f01d7","abstract_canon_sha256":"a71829d4ecd6656b9dc48d15b3627b32e4a019f2f5d6758c3425e4148c1b7528"},"schema_version":"1.0"},"canonical_sha256":"80be662f691f952e8eefd644af869ccd20dd000bfe7844c83d0684c7fc02783f","source":{"kind":"arxiv","id":"1904.07002","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.07002","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"arxiv_version","alias_value":"1904.07002v1","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.07002","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"pith_short_12","alias_value":"QC7GML3JD6KS","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QC7GML3JD6KS5DXP","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QC7GML3J","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QC7GML3JD6KS5DXP2ZCK7BU4ZU","target":"record","payload":{"canonical_record":{"source":{"id":"1904.07002","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-15T12:42:43Z","cross_cats_sorted":[],"title_canon_sha256":"3b6f681e2f22c46d81abf44955dcb70e114e91c5831575f539ba01b2320f01d7","abstract_canon_sha256":"a71829d4ecd6656b9dc48d15b3627b32e4a019f2f5d6758c3425e4148c1b7528"},"schema_version":"1.0"},"canonical_sha256":"80be662f691f952e8eefd644af869ccd20dd000bfe7844c83d0684c7fc02783f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:35.514184Z","signature_b64":"wrK8juChqRgWrQ1M1apFfEzCsdS0v5NTHyu3spTtyGdVcaCz+HPQx5mnOkaCXozmoCLQH8nuAwcePKyv8cypAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80be662f691f952e8eefd644af869ccd20dd000bfe7844c83d0684c7fc02783f","last_reissued_at":"2026-05-17T23:48:35.513705Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:35.513705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.07002","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xr5jIAWkCr0SMIZSWizGjNnAXbmNlt+twX6xwbh1ZGNvPz0xHwYsIS7S86m0RBH3aokgzWVZIpDKmhecMspiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:17:48.066978Z"},"content_sha256":"12a45f84fbb3bfb77ab18855d7e7bf1c5069ace85728f0079f6f9077cab41638","schema_version":"1.0","event_id":"sha256:12a45f84fbb3bfb77ab18855d7e7bf1c5069ace85728f0079f6f9077cab41638"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QC7GML3JD6KS5DXP2ZCK7BU4ZU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthesising 3D Facial Motion from \"In-the-Wild\" Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Lattas, Athanasios Papaioannou, Bj\\\"orn Schuller, Michail Tarasiou, Panagiotis Tzirakis, Stefanos Zafeiriou","submitted_at":"2019-04-15T12:42:43Z","abstract_excerpt":"Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this problem in controlled conditions of speech. In this paper, we introduce the first methodology for 3D facial motion synthesis from speech captured in arbitrary recording conditions (\"in-the-wild\") and independent of the speaker. For our purposes, we captured 4D sequences of people uttering 500 words, contained in the Lip Reading Words (LRW) a publicly available large-scale in-the-wild dataset, and built a set of 3D ble"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.07002","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d/5OyXSfZu4BRkhQ+KO5d5ByiHt1/jgX1A2SsDIXB658CCaLkwKSEOfkU8NIjLHKUCXhTWcUuJRgkiMPX1dOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:17:48.067689Z"},"content_sha256":"847409c0b19297f4e62df283c374c958871e7bd89f7c3b005b29ec64aa1efeed","schema_version":"1.0","event_id":"sha256:847409c0b19297f4e62df283c374c958871e7bd89f7c3b005b29ec64aa1efeed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/bundle.json","state_url":"https://pith.science/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T21:17:48Z","links":{"resolver":"https://pith.science/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU","bundle":"https://pith.science/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/bundle.json","state":"https://pith.science/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QC7GML3JD6KS5DXP2ZCK7BU4ZU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QC7GML3JD6KS5DXP2ZCK7BU4ZU","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":"a71829d4ecd6656b9dc48d15b3627b32e4a019f2f5d6758c3425e4148c1b7528","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-15T12:42:43Z","title_canon_sha256":"3b6f681e2f22c46d81abf44955dcb70e114e91c5831575f539ba01b2320f01d7"},"schema_version":"1.0","source":{"id":"1904.07002","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.07002","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"arxiv_version","alias_value":"1904.07002v1","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.07002","created_at":"2026-05-17T23:48:35Z"},{"alias_kind":"pith_short_12","alias_value":"QC7GML3JD6KS","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QC7GML3JD6KS5DXP","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QC7GML3J","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:847409c0b19297f4e62df283c374c958871e7bd89f7c3b005b29ec64aa1efeed","target":"graph","created_at":"2026-05-17T23:48:35Z","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":"Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this problem in controlled conditions of speech. In this paper, we introduce the first methodology for 3D facial motion synthesis from speech captured in arbitrary recording conditions (\"in-the-wild\") and independent of the speaker. For our purposes, we captured 4D sequences of people uttering 500 words, contained in the Lip Reading Words (LRW) a publicly available large-scale in-the-wild dataset, and built a set of 3D ble","authors_text":"Alexander Lattas, Athanasios Papaioannou, Bj\\\"orn Schuller, Michail Tarasiou, Panagiotis Tzirakis, Stefanos Zafeiriou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-15T12:42:43Z","title":"Synthesising 3D Facial Motion from \"In-the-Wild\" Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.07002","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":"sha256:12a45f84fbb3bfb77ab18855d7e7bf1c5069ace85728f0079f6f9077cab41638","target":"record","created_at":"2026-05-17T23:48:35Z","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":"a71829d4ecd6656b9dc48d15b3627b32e4a019f2f5d6758c3425e4148c1b7528","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-15T12:42:43Z","title_canon_sha256":"3b6f681e2f22c46d81abf44955dcb70e114e91c5831575f539ba01b2320f01d7"},"schema_version":"1.0","source":{"id":"1904.07002","kind":"arxiv","version":1}},"canonical_sha256":"80be662f691f952e8eefd644af869ccd20dd000bfe7844c83d0684c7fc02783f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80be662f691f952e8eefd644af869ccd20dd000bfe7844c83d0684c7fc02783f","first_computed_at":"2026-05-17T23:48:35.513705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:35.513705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wrK8juChqRgWrQ1M1apFfEzCsdS0v5NTHyu3spTtyGdVcaCz+HPQx5mnOkaCXozmoCLQH8nuAwcePKyv8cypAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:35.514184Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.07002","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12a45f84fbb3bfb77ab18855d7e7bf1c5069ace85728f0079f6f9077cab41638","sha256:847409c0b19297f4e62df283c374c958871e7bd89f7c3b005b29ec64aa1efeed"],"state_sha256":"9dec74ecb1b47d6314083ef569792af6924731c1427015a999e5d3d8f6416c4e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JdbDODm0NOCHTO7v3HeN9GTD2o6VL2KJoo6cWIjb41t07zsttLn8RL8szoK9ax50suhfBWbKw9xCarRjtvjNAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:17:48.071389Z","bundle_sha256":"edf9a780ac281aa23388c65eb1d8f86c3ba0da0e6318f205249bbc498918e070"}}