{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BDKJB554FZTWSIMKQ6A4KNXVBJ","short_pith_number":"pith:BDKJB554","canonical_record":{"source":{"id":"2407.12783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T17:59:42Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"6db9ea7fc911363767333758d8923cf8be9cec49f11a6f07e3c4398e249f574a","abstract_canon_sha256":"d8e91a2450fa56d5958012d23646614a7a9fa978f03e790c89dd61108bb9fa87"},"schema_version":"1.0"},"canonical_sha256":"08d490f7bc2e6769218a8781c536f50a583baf7eba5132da533157b01493e757","source":{"kind":"arxiv","id":"2407.12783","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12783","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12783v1","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12783","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_12","alias_value":"BDKJB554FZTW","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_16","alias_value":"BDKJB554FZTWSIMK","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_8","alias_value":"BDKJB554","created_at":"2026-07-05T08:45:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BDKJB554FZTWSIMKQ6A4KNXVBJ","target":"record","payload":{"canonical_record":{"source":{"id":"2407.12783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T17:59:42Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"6db9ea7fc911363767333758d8923cf8be9cec49f11a6f07e3c4398e249f574a","abstract_canon_sha256":"d8e91a2450fa56d5958012d23646614a7a9fa978f03e790c89dd61108bb9fa87"},"schema_version":"1.0"},"canonical_sha256":"08d490f7bc2e6769218a8781c536f50a583baf7eba5132da533157b01493e757","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:10.209546Z","signature_b64":"uWGkoyyrwY1KTYVm64mfN/fYY6ORXrcM+cKSTfoT1+HRDQwLHpP+FKGrJwVGmk1ncE+OFfcF0l74vogcQWReCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08d490f7bc2e6769218a8781c536f50a583baf7eba5132da533157b01493e757","last_reissued_at":"2026-07-05T08:45:10.208957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:10.208957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.12783","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":"2026-07-05T08:45:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D3072KfxZ7AX6ewEMUS5oLCylzP7WTvOZxeM/4FvmEWcwRiPWsoVyuA/f05JD3ExDhgOuE49L3QH1Sb0kq6LCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:22.116333Z"},"content_sha256":"ff6c904add4ef77848c2b4dcc1669c17e8a75737a415f121db0e25b2ab50642e","schema_version":"1.0","event_id":"sha256:ff6c904add4ef77848c2b4dcc1669c17e8a75737a415f121db0e25b2ab50642e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BDKJB554FZTWSIMKQ6A4KNXVBJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SMooDi: Stylized Motion Diffusion Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Deqing Sun, Huaizu Jiang, Lei Zhong, Varun Jampani, Yiming Xie","submitted_at":"2024-07-17T17:59:42Z","abstract_excerpt":"We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that either generate motion of various content or transfer style from one sequence to another, SMooDi can rapidly generate motion across a broad range of content and diverse styles. To this end, we tailor a pre-trained text-to-motion model for stylization. Specifically, we propose style guidance to ensure that the generated motion closely matches the reference style, alongside a lightweight style adaptor that directs the mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12783","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/2407.12783/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":"2026-07-05T08:45:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VPUEmJafii9oH74oseTuUwPooZEEtiU8Ldj59Q+Nb2//r6kMp+PJat/YwtGIs4m5BLXj3ajpdBxrgjAuvBAsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:22.116711Z"},"content_sha256":"88126853a0e3428e78b60e0a1263c07ff94726bdbbb91b2f3d6212fbdc7fc361","schema_version":"1.0","event_id":"sha256:88126853a0e3428e78b60e0a1263c07ff94726bdbbb91b2f3d6212fbdc7fc361"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/bundle.json","state_url":"https://pith.science/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/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":"2026-08-07T10:53:22Z","links":{"resolver":"https://pith.science/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ","bundle":"https://pith.science/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/bundle.json","state":"https://pith.science/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BDKJB554FZTWSIMKQ6A4KNXVBJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BDKJB554FZTWSIMKQ6A4KNXVBJ","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":"d8e91a2450fa56d5958012d23646614a7a9fa978f03e790c89dd61108bb9fa87","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T17:59:42Z","title_canon_sha256":"6db9ea7fc911363767333758d8923cf8be9cec49f11a6f07e3c4398e249f574a"},"schema_version":"1.0","source":{"id":"2407.12783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12783","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12783v1","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12783","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_12","alias_value":"BDKJB554FZTW","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_16","alias_value":"BDKJB554FZTWSIMK","created_at":"2026-07-05T08:45:10Z"},{"alias_kind":"pith_short_8","alias_value":"BDKJB554","created_at":"2026-07-05T08:45:10Z"}],"graph_snapshots":[{"event_id":"sha256:88126853a0e3428e78b60e0a1263c07ff94726bdbbb91b2f3d6212fbdc7fc361","target":"graph","created_at":"2026-07-05T08:45:10Z","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/2407.12783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that either generate motion of various content or transfer style from one sequence to another, SMooDi can rapidly generate motion across a broad range of content and diverse styles. To this end, we tailor a pre-trained text-to-motion model for stylization. Specifically, we propose style guidance to ensure that the generated motion closely matches the reference style, alongside a lightweight style adaptor that directs the mo","authors_text":"Deqing Sun, Huaizu Jiang, Lei Zhong, Varun Jampani, Yiming Xie","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T17:59:42Z","title":"SMooDi: Stylized Motion Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12783","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:ff6c904add4ef77848c2b4dcc1669c17e8a75737a415f121db0e25b2ab50642e","target":"record","created_at":"2026-07-05T08:45:10Z","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":"d8e91a2450fa56d5958012d23646614a7a9fa978f03e790c89dd61108bb9fa87","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-17T17:59:42Z","title_canon_sha256":"6db9ea7fc911363767333758d8923cf8be9cec49f11a6f07e3c4398e249f574a"},"schema_version":"1.0","source":{"id":"2407.12783","kind":"arxiv","version":1}},"canonical_sha256":"08d490f7bc2e6769218a8781c536f50a583baf7eba5132da533157b01493e757","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08d490f7bc2e6769218a8781c536f50a583baf7eba5132da533157b01493e757","first_computed_at":"2026-07-05T08:45:10.208957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:10.208957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uWGkoyyrwY1KTYVm64mfN/fYY6ORXrcM+cKSTfoT1+HRDQwLHpP+FKGrJwVGmk1ncE+OFfcF0l74vogcQWReCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:10.209546Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff6c904add4ef77848c2b4dcc1669c17e8a75737a415f121db0e25b2ab50642e","sha256:88126853a0e3428e78b60e0a1263c07ff94726bdbbb91b2f3d6212fbdc7fc361"],"state_sha256":"a2b855d4e0e9e9155532a4c14d1be7e06470652056689616b49fbafef96daec2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/KjxKVtYip0hc0LUN4HY2Nn1daDVEnqNlwEzsQHd66IIduLNSV9e/FpoHIW4+OeUwW0HGR/TggFCB0aOneXFDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:53:22.119992Z","bundle_sha256":"a63fe143848de0cb3383cf35fc5b5f71aabb021fa2c95a2be99737fcdbf6a427"}}