{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W5HNOMUPUU7YNEP2XVRNQYAW4B","short_pith_number":"pith:W5HNOMUP","canonical_record":{"source":{"id":"2405.16393","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T00:53:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cc07ff492cd30b223fbaddbd76c5906de4bcd091beab64f49ed8485129de959","abstract_canon_sha256":"089fda176a8c4b7939087a8868d45b8f697f41a63ca9311b2b541e19b7f3eb12"},"schema_version":"1.0"},"canonical_sha256":"b74ed7328fa53f8691fabd62d86016e04aeb31c56751beafd88c001833a9d473","source":{"kind":"arxiv","id":"2405.16393","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16393","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16393v2","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16393","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_12","alias_value":"W5HNOMUPUU7Y","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_16","alias_value":"W5HNOMUPUU7YNEP2","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_8","alias_value":"W5HNOMUP","created_at":"2026-07-05T08:24:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W5HNOMUPUU7YNEP2XVRNQYAW4B","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16393","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T00:53:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cc07ff492cd30b223fbaddbd76c5906de4bcd091beab64f49ed8485129de959","abstract_canon_sha256":"089fda176a8c4b7939087a8868d45b8f697f41a63ca9311b2b541e19b7f3eb12"},"schema_version":"1.0"},"canonical_sha256":"b74ed7328fa53f8691fabd62d86016e04aeb31c56751beafd88c001833a9d473","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:06.969564Z","signature_b64":"/Ds9xqVG2KjbcXBbwca1YW/7FU6kifT+iDdYzB3STp0pX1fD2geHFaH0yRkguqxCx86ouymdZp/oTt6wfahXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b74ed7328fa53f8691fabd62d86016e04aeb31c56751beafd88c001833a9d473","last_reissued_at":"2026-07-05T08:24:06.969077Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:06.969077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16393","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:24:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SCttvzeWgZwstNewnQR1g+dmX4TMmo3537JV3ktpNsYof53RZIbndMCH5T4fB6wTDJlIRqtmlr0r3XFZpxiVAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:57:35.158267Z"},"content_sha256":"ee9788622e1705c32a67acef4fbe75d4cdbca1758ac04fbde9c52967e89023a9","schema_version":"1.0","event_id":"sha256:ee9788622e1705c32a67acef4fbe75d4cdbca1758ac04fbde9c52967e89023a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W5HNOMUPUU7YNEP2XVRNQYAW4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jinlin Liu, Kai Yu, Mengyang Feng, Miaomiao Cui, Xiefan Guo","submitted_at":"2024-05-26T00:53:26Z","abstract_excerpt":"Recent advancements in human video synthesis have enabled the generation of high-quality videos through the application of stable diffusion models. However, existing methods predominantly concentrate on animating solely the human element (the foreground) guided by pose information, while leaving the background entirely static. Contrary to this, in authentic, high-quality videos, backgrounds often dynamically adjust in harmony with foreground movements, eschewing stagnancy. We introduce a technique that concurrently learns both foreground and background dynamics by segregating their movements u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16393","kind":"arxiv","version":2},"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/2405.16393/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":"2026-07-05T08:24:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BdVr9GMn5Iqd9M6y8pvg3cLuJk1jvNgCvC6mqwImJNVadm5pTvns1CC2bJuMH8Zda42Ifo/YP70AOPwnw++jAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:57:35.158764Z"},"content_sha256":"8ab3217e5f0b8f8d862a461ba24948f6004acd74975ba1ce4a0ea8d2c7db354d","schema_version":"1.0","event_id":"sha256:8ab3217e5f0b8f8d862a461ba24948f6004acd74975ba1ce4a0ea8d2c7db354d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/bundle.json","state_url":"https://pith.science/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/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":"2026-08-08T13:57:35Z","links":{"resolver":"https://pith.science/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B","bundle":"https://pith.science/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/bundle.json","state":"https://pith.science/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W5HNOMUPUU7YNEP2XVRNQYAW4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W5HNOMUPUU7YNEP2XVRNQYAW4B","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":"089fda176a8c4b7939087a8868d45b8f697f41a63ca9311b2b541e19b7f3eb12","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T00:53:26Z","title_canon_sha256":"5cc07ff492cd30b223fbaddbd76c5906de4bcd091beab64f49ed8485129de959"},"schema_version":"1.0","source":{"id":"2405.16393","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16393","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16393v2","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16393","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_12","alias_value":"W5HNOMUPUU7Y","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_16","alias_value":"W5HNOMUPUU7YNEP2","created_at":"2026-07-05T08:24:06Z"},{"alias_kind":"pith_short_8","alias_value":"W5HNOMUP","created_at":"2026-07-05T08:24:06Z"}],"graph_snapshots":[{"event_id":"sha256:8ab3217e5f0b8f8d862a461ba24948f6004acd74975ba1ce4a0ea8d2c7db354d","target":"graph","created_at":"2026-07-05T08:24:06Z","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/2405.16393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in human video synthesis have enabled the generation of high-quality videos through the application of stable diffusion models. However, existing methods predominantly concentrate on animating solely the human element (the foreground) guided by pose information, while leaving the background entirely static. Contrary to this, in authentic, high-quality videos, backgrounds often dynamically adjust in harmony with foreground movements, eschewing stagnancy. We introduce a technique that concurrently learns both foreground and background dynamics by segregating their movements u","authors_text":"Jinlin Liu, Kai Yu, Mengyang Feng, Miaomiao Cui, Xiefan Guo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T00:53:26Z","title":"Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16393","kind":"arxiv","version":2},"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:ee9788622e1705c32a67acef4fbe75d4cdbca1758ac04fbde9c52967e89023a9","target":"record","created_at":"2026-07-05T08:24:06Z","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":"089fda176a8c4b7939087a8868d45b8f697f41a63ca9311b2b541e19b7f3eb12","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T00:53:26Z","title_canon_sha256":"5cc07ff492cd30b223fbaddbd76c5906de4bcd091beab64f49ed8485129de959"},"schema_version":"1.0","source":{"id":"2405.16393","kind":"arxiv","version":2}},"canonical_sha256":"b74ed7328fa53f8691fabd62d86016e04aeb31c56751beafd88c001833a9d473","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b74ed7328fa53f8691fabd62d86016e04aeb31c56751beafd88c001833a9d473","first_computed_at":"2026-07-05T08:24:06.969077Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:06.969077Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/Ds9xqVG2KjbcXBbwca1YW/7FU6kifT+iDdYzB3STp0pX1fD2geHFaH0yRkguqxCx86ouymdZp/oTt6wfahXDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:06.969564Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16393","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee9788622e1705c32a67acef4fbe75d4cdbca1758ac04fbde9c52967e89023a9","sha256:8ab3217e5f0b8f8d862a461ba24948f6004acd74975ba1ce4a0ea8d2c7db354d"],"state_sha256":"402e0fbdab8116331caeb1b674a36974ed6308a2edb62d4b7becc4e1a5bb3c3a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ECzOZze+gWSN/DUoq+OGHzOOvlNiVXJ1ckPAZ66tqJbgYdN/afyOKJo1bvV6kMqckRTdsdJITKpNTuAcNZQpAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:57:35.162085Z","bundle_sha256":"661c96b22d056b75e3715298e9195100d81515be3d759cdb34d0688893688f60"}}