{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IM27MMK4AUJKFT4SXLIYMFNCJ4","short_pith_number":"pith:IM27MMK4","canonical_record":{"source":{"id":"2504.11143","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-15T12:44:53Z","cross_cats_sorted":[],"title_canon_sha256":"0e96ad5bb57d63bfab54c762779ee1a905985220365021f24871e0edf007b292","abstract_canon_sha256":"320ca3142352d8abe21dfc8bf8902ed3776ee59ceb77fcaa86e1aef6d7b44b82"},"schema_version":"1.0"},"canonical_sha256":"4335f6315c0512a2cf92bad18615a24f1426ca0437ae5331cc8840431f148a13","source":{"kind":"arxiv","id":"2504.11143","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.11143","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"arxiv_version","alias_value":"2504.11143v1","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.11143","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_12","alias_value":"IM27MMK4AUJK","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_16","alias_value":"IM27MMK4AUJKFT4S","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_8","alias_value":"IM27MMK4","created_at":"2026-07-05T10:49:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IM27MMK4AUJKFT4SXLIYMFNCJ4","target":"record","payload":{"canonical_record":{"source":{"id":"2504.11143","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-15T12:44:53Z","cross_cats_sorted":[],"title_canon_sha256":"0e96ad5bb57d63bfab54c762779ee1a905985220365021f24871e0edf007b292","abstract_canon_sha256":"320ca3142352d8abe21dfc8bf8902ed3776ee59ceb77fcaa86e1aef6d7b44b82"},"schema_version":"1.0"},"canonical_sha256":"4335f6315c0512a2cf92bad18615a24f1426ca0437ae5331cc8840431f148a13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:49:29.683586Z","signature_b64":"9HR9s2FWlxTzS3I4eyrQu6KpQOgCqoualITAuLiNB2r3zG5JmsthFICMRFhj8s6lbalvF6Oc2sN9to10ebioBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4335f6315c0512a2cf92bad18615a24f1426ca0437ae5331cc8840431f148a13","last_reissued_at":"2026-07-05T10:49:29.683070Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:49:29.683070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.11143","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":"2026-07-05T10:49:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k3TjFHFEnwE1wV70yAOQTXPXBD+TV2II40TOLdKOFw2xEJ5Ourx0PaM+o1lhMut4sYYy2xxuTdeXZFv2M/5HAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:14:48.614017Z"},"content_sha256":"558720f1dacd90aec5f6687223936e3645c3216589b0774f40f4d91a83a3aac9","schema_version":"1.0","event_id":"sha256:558720f1dacd90aec5f6687223936e3645c3216589b0774f40f4d91a83a3aac9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IM27MMK4AUJKFT4SXLIYMFNCJ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Taming Consistency Distillation for Accelerated Human Image Animation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changxin Gao, Hangjie Yuan, Nong Sang, Shiwei Zhang, Xiang Wang, Yingya Zhang, Yuehuan Wang, Yujie Wei","submitted_at":"2025-04-15T12:44:53Z","abstract_excerpt":"Recent advancements in human image animation have been propelled by video diffusion models, yet their reliance on numerous iterative denoising steps results in high inference costs and slow speeds. An intuitive solution involves adopting consistency models, which serve as an effective acceleration paradigm through consistency distillation. However, simply employing this strategy in human image animation often leads to quality decline, including visual blurring, motion degradation, and facial distortion, particularly in dynamic regions. In this paper, we propose the DanceLCM approach complement"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.11143","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/2504.11143/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":"2026-07-05T10:49:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0p4kDbrF+J3JMofY1VA4b9vQmjRSgOfwTSrWkLLHId1woU2P1cqlwy8MUBATBFZyodfHPsA408uqOFfyIjZPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:14:48.614548Z"},"content_sha256":"6a554178b53064e8ea9261d131d3464020a0a362ffe39eed0d55fc46d66acc40","schema_version":"1.0","event_id":"sha256:6a554178b53064e8ea9261d131d3464020a0a362ffe39eed0d55fc46d66acc40"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/bundle.json","state_url":"https://pith.science/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/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":"2026-08-05T21:14:48Z","links":{"resolver":"https://pith.science/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4","bundle":"https://pith.science/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/bundle.json","state":"https://pith.science/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IM27MMK4AUJKFT4SXLIYMFNCJ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IM27MMK4AUJKFT4SXLIYMFNCJ4","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":"320ca3142352d8abe21dfc8bf8902ed3776ee59ceb77fcaa86e1aef6d7b44b82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-15T12:44:53Z","title_canon_sha256":"0e96ad5bb57d63bfab54c762779ee1a905985220365021f24871e0edf007b292"},"schema_version":"1.0","source":{"id":"2504.11143","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.11143","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"arxiv_version","alias_value":"2504.11143v1","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.11143","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_12","alias_value":"IM27MMK4AUJK","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_16","alias_value":"IM27MMK4AUJKFT4S","created_at":"2026-07-05T10:49:29Z"},{"alias_kind":"pith_short_8","alias_value":"IM27MMK4","created_at":"2026-07-05T10:49:29Z"}],"graph_snapshots":[{"event_id":"sha256:6a554178b53064e8ea9261d131d3464020a0a362ffe39eed0d55fc46d66acc40","target":"graph","created_at":"2026-07-05T10:49:29Z","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/2504.11143/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in human image animation have been propelled by video diffusion models, yet their reliance on numerous iterative denoising steps results in high inference costs and slow speeds. An intuitive solution involves adopting consistency models, which serve as an effective acceleration paradigm through consistency distillation. However, simply employing this strategy in human image animation often leads to quality decline, including visual blurring, motion degradation, and facial distortion, particularly in dynamic regions. In this paper, we propose the DanceLCM approach complement","authors_text":"Changxin Gao, Hangjie Yuan, Nong Sang, Shiwei Zhang, Xiang Wang, Yingya Zhang, Yuehuan Wang, Yujie Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-15T12:44:53Z","title":"Taming Consistency Distillation for Accelerated Human Image Animation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.11143","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":"sha256:558720f1dacd90aec5f6687223936e3645c3216589b0774f40f4d91a83a3aac9","target":"record","created_at":"2026-07-05T10:49:29Z","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":"320ca3142352d8abe21dfc8bf8902ed3776ee59ceb77fcaa86e1aef6d7b44b82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-15T12:44:53Z","title_canon_sha256":"0e96ad5bb57d63bfab54c762779ee1a905985220365021f24871e0edf007b292"},"schema_version":"1.0","source":{"id":"2504.11143","kind":"arxiv","version":1}},"canonical_sha256":"4335f6315c0512a2cf92bad18615a24f1426ca0437ae5331cc8840431f148a13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4335f6315c0512a2cf92bad18615a24f1426ca0437ae5331cc8840431f148a13","first_computed_at":"2026-07-05T10:49:29.683070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:49:29.683070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9HR9s2FWlxTzS3I4eyrQu6KpQOgCqoualITAuLiNB2r3zG5JmsthFICMRFhj8s6lbalvF6Oc2sN9to10ebioBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:49:29.683586Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.11143","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:558720f1dacd90aec5f6687223936e3645c3216589b0774f40f4d91a83a3aac9","sha256:6a554178b53064e8ea9261d131d3464020a0a362ffe39eed0d55fc46d66acc40"],"state_sha256":"c89f1edb755f7123b4e0a8b2b05c7235d87bd2cd6316ff2a566310df35b7b595"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2mUeV8Ip5U1i9kOUGfjlkCIy9e6Eg+mUOmYMETTZrDsPGVGodF7VY3iHJkveG0j7vx4duh8eSLg6fOrHRiKRDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:14:48.619737Z","bundle_sha256":"cbf6abcb9fc5a1c63eefdc513620b58b2116cdf96549870e565bdda9335c878e"}}