{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PZSRADILGCQSMDJ24POFXVL4S7","short_pith_number":"pith:PZSRADIL","canonical_record":{"source":{"id":"2311.16471","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T04:13:49Z","cross_cats_sorted":[],"title_canon_sha256":"f194d8acbef6301769015fbec7af2a1422eaacce69f72547651718fce4eaf14a","abstract_canon_sha256":"a54812132ca43a7158effb3c4a31e851c250ebb7131b9fe2488479137a52a72e"},"schema_version":"1.0"},"canonical_sha256":"7e65100d0b30a1260d3ae3dc5bd57c97de468b147103aadab4b9e59e86365f30","source":{"kind":"arxiv","id":"2311.16471","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16471","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16471v1","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16471","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_12","alias_value":"PZSRADILGCQS","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_16","alias_value":"PZSRADILGCQSMDJ2","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_8","alias_value":"PZSRADIL","created_at":"2026-07-05T07:17:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PZSRADILGCQSMDJ24POFXVL4S7","target":"record","payload":{"canonical_record":{"source":{"id":"2311.16471","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T04:13:49Z","cross_cats_sorted":[],"title_canon_sha256":"f194d8acbef6301769015fbec7af2a1422eaacce69f72547651718fce4eaf14a","abstract_canon_sha256":"a54812132ca43a7158effb3c4a31e851c250ebb7131b9fe2488479137a52a72e"},"schema_version":"1.0"},"canonical_sha256":"7e65100d0b30a1260d3ae3dc5bd57c97de468b147103aadab4b9e59e86365f30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:17:42.300455Z","signature_b64":"vWyrPafpjSF6GiqkhIhk3h5V6JSmfwxSDRHofvPSVayrVIN6UrQbqNMnkzorgGGp0EhVDVHzmHtFCysYZRyBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e65100d0b30a1260d3ae3dc5bd57c97de468b147103aadab4b9e59e86365f30","last_reissued_at":"2026-07-05T07:17:42.299951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:17:42.299951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.16471","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":"2026-07-05T07:17:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dpgKPVkySHesCWZkfpJ+ke4aBwo3jon0fePmMRZAJ5xjksT5LRT36yXHjDAAQqZpHgObmi+Ory8+6oHbIGerCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:25:08.984989Z"},"content_sha256":"6b0590d0e84367f60564efdc60578b9b7329162b4583499c82a3e0cfec36e899","schema_version":"1.0","event_id":"sha256:6b0590d0e84367f60564efdc60578b9b7329162b4583499c82a3e0cfec36e899"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PZSRADILGCQSMDJ24POFXVL4S7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baoyuan Wang, Yu Wan, Zixiang Zhou","submitted_at":"2023-11-28T04:13:49Z","abstract_excerpt":"The field has made significant progress in synthesizing realistic human motion driven by various modalities. Yet, the need for different methods to animate various body parts according to different control signals limits the scalability of these techniques in practical scenarios. In this paper, we introduce a cohesive and scalable approach that consolidates multimodal (text, music, speech) and multi-part (hand, torso) human motion generation. Our methodology unfolds in several steps: We begin by quantizing the motions of diverse body parts into separate codebooks tailored to their respective d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16471","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/2311.16471/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:17:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kWIal16wBOKAeb3FpqvzV8tIe2CvZuD+02QeI0wY1/ueJl/GSvA6hJ3/OFNogN07G2BwIvXBAN7+ZcZGdPIrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:25:08.985480Z"},"content_sha256":"eae899a1b8caada991a7ed28a2db20079b86c06129ca1d3ee122b13d8181d975","schema_version":"1.0","event_id":"sha256:eae899a1b8caada991a7ed28a2db20079b86c06129ca1d3ee122b13d8181d975"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZSRADILGCQSMDJ24POFXVL4S7/bundle.json","state_url":"https://pith.science/pith/PZSRADILGCQSMDJ24POFXVL4S7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZSRADILGCQSMDJ24POFXVL4S7/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":"2026-08-10T20:25:08Z","links":{"resolver":"https://pith.science/pith/PZSRADILGCQSMDJ24POFXVL4S7","bundle":"https://pith.science/pith/PZSRADILGCQSMDJ24POFXVL4S7/bundle.json","state":"https://pith.science/pith/PZSRADILGCQSMDJ24POFXVL4S7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZSRADILGCQSMDJ24POFXVL4S7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PZSRADILGCQSMDJ24POFXVL4S7","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":"a54812132ca43a7158effb3c4a31e851c250ebb7131b9fe2488479137a52a72e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T04:13:49Z","title_canon_sha256":"f194d8acbef6301769015fbec7af2a1422eaacce69f72547651718fce4eaf14a"},"schema_version":"1.0","source":{"id":"2311.16471","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16471","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16471v1","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16471","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_12","alias_value":"PZSRADILGCQS","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_16","alias_value":"PZSRADILGCQSMDJ2","created_at":"2026-07-05T07:17:42Z"},{"alias_kind":"pith_short_8","alias_value":"PZSRADIL","created_at":"2026-07-05T07:17:42Z"}],"graph_snapshots":[{"event_id":"sha256:eae899a1b8caada991a7ed28a2db20079b86c06129ca1d3ee122b13d8181d975","target":"graph","created_at":"2026-07-05T07:17:42Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.16471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field has made significant progress in synthesizing realistic human motion driven by various modalities. Yet, the need for different methods to animate various body parts according to different control signals limits the scalability of these techniques in practical scenarios. In this paper, we introduce a cohesive and scalable approach that consolidates multimodal (text, music, speech) and multi-part (hand, torso) human motion generation. Our methodology unfolds in several steps: We begin by quantizing the motions of diverse body parts into separate codebooks tailored to their respective d","authors_text":"Baoyuan Wang, Yu Wan, Zixiang Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T04:13:49Z","title":"A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16471","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":"sha256:6b0590d0e84367f60564efdc60578b9b7329162b4583499c82a3e0cfec36e899","target":"record","created_at":"2026-07-05T07:17:42Z","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":"a54812132ca43a7158effb3c4a31e851c250ebb7131b9fe2488479137a52a72e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T04:13:49Z","title_canon_sha256":"f194d8acbef6301769015fbec7af2a1422eaacce69f72547651718fce4eaf14a"},"schema_version":"1.0","source":{"id":"2311.16471","kind":"arxiv","version":1}},"canonical_sha256":"7e65100d0b30a1260d3ae3dc5bd57c97de468b147103aadab4b9e59e86365f30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e65100d0b30a1260d3ae3dc5bd57c97de468b147103aadab4b9e59e86365f30","first_computed_at":"2026-07-05T07:17:42.299951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:17:42.299951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vWyrPafpjSF6GiqkhIhk3h5V6JSmfwxSDRHofvPSVayrVIN6UrQbqNMnkzorgGGp0EhVDVHzmHtFCysYZRyBAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:17:42.300455Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.16471","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b0590d0e84367f60564efdc60578b9b7329162b4583499c82a3e0cfec36e899","sha256:eae899a1b8caada991a7ed28a2db20079b86c06129ca1d3ee122b13d8181d975"],"state_sha256":"afd273845f9cded9b93cfe2a44bcca84448f16049636af3fdb3e2cf33aad8a89"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ufNAksPi0rMQVxe9x2kqevGM1EpbAhhuWyiP/xkh0z0T0Lcaio/kNSN3uocbUGrITv44FOy7/DJ3CTFlqxmwAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:25:08.988766Z","bundle_sha256":"a9a75134b38ebb15d7cb75486e2a0d9c689d009b7b04dfffe0824edebbb58587"}}