{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QGANME4XHEQYIIE3RONVDSIGM4","short_pith_number":"pith:QGANME4X","canonical_record":{"source":{"id":"2506.03123","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T17:55:04Z","cross_cats_sorted":[],"title_canon_sha256":"b800d0a5e3a0a2bfcc78dc8538d005f76cbf82f466a492b0df2c2d7789815a41","abstract_canon_sha256":"59e79734aaa882ecf7378f8b5af6edb3e0009a0b900ba2e066edf5a8e92941fe"},"schema_version":"1.0"},"canonical_sha256":"8180d61397392184209b8b9b51c906671e35914da7040057f5cc96757e20ea5a","source":{"kind":"arxiv","id":"2506.03123","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03123","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03123v2","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03123","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"QGANME4XHEQY","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"QGANME4XHEQYIIE3","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"QGANME4X","created_at":"2026-07-05T11:49:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QGANME4XHEQYIIE3RONVDSIGM4","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03123","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T17:55:04Z","cross_cats_sorted":[],"title_canon_sha256":"b800d0a5e3a0a2bfcc78dc8538d005f76cbf82f466a492b0df2c2d7789815a41","abstract_canon_sha256":"59e79734aaa882ecf7378f8b5af6edb3e0009a0b900ba2e066edf5a8e92941fe"},"schema_version":"1.0"},"canonical_sha256":"8180d61397392184209b8b9b51c906671e35914da7040057f5cc96757e20ea5a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:10.601142Z","signature_b64":"pJJXObx+/4XseidTISO3hmkbhw/HeXuz6n82hvzeuLTXJoPmfwEmPX3dq+jCbnK7ePwhaFbJMXq1A0SNn38ACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8180d61397392184209b8b9b51c906671e35914da7040057f5cc96757e20ea5a","last_reissued_at":"2026-07-05T11:49:10.600672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:10.600672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03123","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":"2026-07-05T11:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iy8I8DO4+ZiS5JMmE5FvCbIs8qHrYrUByHlWbMa+xLYrgpDXDKA7YCvv/su/6n7LL08g3WQ/VtaikjE6BgiyBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:55:40.145490Z"},"content_sha256":"16a627c1eea85077d5adea0d79069b5503f368e1c1195b04c4abf5a977758406","schema_version":"1.0","event_id":"sha256:16a627c1eea85077d5adea0d79069b5503f368e1c1195b04c4abf5a977758406"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QGANME4XHEQYIIE3RONVDSIGM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual-Expert Consistency Model for Efficient and High-Quality Video Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyang Si, Kwan-Yee K. Wong, Tianlin Pan, Yu Qiao, Zhaoxi Chen, Zhengyao Lv, Ziwei Liu","submitted_at":"2025-06-03T17:55:04Z","abstract_excerpt":"Diffusion Models have achieved remarkable results in video synthesis but require iterative denoising steps, leading to substantial computational overhead. Consistency Models have made significant progress in accelerating diffusion models. However, directly applying them to video diffusion models often results in severe degradation of temporal consistency and appearance details. In this paper, by analyzing the training dynamics of Consistency Models, we identify a key conflicting learning dynamics during the distillation process: there is a significant discrepancy in the optimization gradients "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03123","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/2506.03123/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":"2026-07-05T11:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bFFEloRxzz9Dp6RdL3JspxLgIJcBJLTKoPzCWl36YmSf7hQ/3zLn7KzsGnFjaeh4dwTxQ9N5NrS4e2hvqXnTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:55:40.146336Z"},"content_sha256":"2fc8acb93cde5fefcac25f92f3446f6cfd5da7f89c554e3157c7a9663ecb7477","schema_version":"1.0","event_id":"sha256:2fc8acb93cde5fefcac25f92f3446f6cfd5da7f89c554e3157c7a9663ecb7477"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QGANME4XHEQYIIE3RONVDSIGM4/bundle.json","state_url":"https://pith.science/pith/QGANME4XHEQYIIE3RONVDSIGM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QGANME4XHEQYIIE3RONVDSIGM4/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":"2026-08-05T22:55:40Z","links":{"resolver":"https://pith.science/pith/QGANME4XHEQYIIE3RONVDSIGM4","bundle":"https://pith.science/pith/QGANME4XHEQYIIE3RONVDSIGM4/bundle.json","state":"https://pith.science/pith/QGANME4XHEQYIIE3RONVDSIGM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QGANME4XHEQYIIE3RONVDSIGM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QGANME4XHEQYIIE3RONVDSIGM4","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":"59e79734aaa882ecf7378f8b5af6edb3e0009a0b900ba2e066edf5a8e92941fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T17:55:04Z","title_canon_sha256":"b800d0a5e3a0a2bfcc78dc8538d005f76cbf82f466a492b0df2c2d7789815a41"},"schema_version":"1.0","source":{"id":"2506.03123","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03123","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03123v2","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03123","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"QGANME4XHEQY","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"QGANME4XHEQYIIE3","created_at":"2026-07-05T11:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"QGANME4X","created_at":"2026-07-05T11:49:10Z"}],"graph_snapshots":[{"event_id":"sha256:2fc8acb93cde5fefcac25f92f3446f6cfd5da7f89c554e3157c7a9663ecb7477","target":"graph","created_at":"2026-07-05T11:49:10Z","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/2506.03123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Models have achieved remarkable results in video synthesis but require iterative denoising steps, leading to substantial computational overhead. Consistency Models have made significant progress in accelerating diffusion models. However, directly applying them to video diffusion models often results in severe degradation of temporal consistency and appearance details. In this paper, by analyzing the training dynamics of Consistency Models, we identify a key conflicting learning dynamics during the distillation process: there is a significant discrepancy in the optimization gradients ","authors_text":"Chenyang Si, Kwan-Yee K. Wong, Tianlin Pan, Yu Qiao, Zhaoxi Chen, Zhengyao Lv, Ziwei Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T17:55:04Z","title":"Dual-Expert Consistency Model for Efficient and High-Quality Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03123","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":"sha256:16a627c1eea85077d5adea0d79069b5503f368e1c1195b04c4abf5a977758406","target":"record","created_at":"2026-07-05T11:49:10Z","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":"59e79734aaa882ecf7378f8b5af6edb3e0009a0b900ba2e066edf5a8e92941fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T17:55:04Z","title_canon_sha256":"b800d0a5e3a0a2bfcc78dc8538d005f76cbf82f466a492b0df2c2d7789815a41"},"schema_version":"1.0","source":{"id":"2506.03123","kind":"arxiv","version":2}},"canonical_sha256":"8180d61397392184209b8b9b51c906671e35914da7040057f5cc96757e20ea5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8180d61397392184209b8b9b51c906671e35914da7040057f5cc96757e20ea5a","first_computed_at":"2026-07-05T11:49:10.600672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:10.600672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pJJXObx+/4XseidTISO3hmkbhw/HeXuz6n82hvzeuLTXJoPmfwEmPX3dq+jCbnK7ePwhaFbJMXq1A0SNn38ACA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:10.601142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03123","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16a627c1eea85077d5adea0d79069b5503f368e1c1195b04c4abf5a977758406","sha256:2fc8acb93cde5fefcac25f92f3446f6cfd5da7f89c554e3157c7a9663ecb7477"],"state_sha256":"a7a32ce4b1cf25b19e6de66236c374323f2d58ccb37f8054bcc6af8fd11d26c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D2oB/ZQCwC3zhcj8f4eEHS1McAI+pcPB/PyfKl9OkOgyBUo0cx1ezPTJxbOS5XqXSe8VNCROk4S54HHmaewHDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:55:40.153478Z","bundle_sha256":"fc1857f8b5990bb21544ae9d0b8449238f1d8e1ad74135204119a25b729be11e"}}