{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:T4JBNB2O2PBLD5C5H6YAJQQDNX","short_pith_number":"pith:T4JBNB2O","canonical_record":{"source":{"id":"2310.10647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T17:59:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"094bd824ee4cfff022091236e1e7603519c1ff5a14cb520169d2260262ede0e7","abstract_canon_sha256":"31feaeac612dbaeef14735e1e2f5db5eb360d31b12c6e8a6d0e2e5642c560059"},"schema_version":"1.0"},"canonical_sha256":"9f1216874ed3c2b1f45d3fb004c2036dc57feca807c95503ae968a541f49db10","source":{"kind":"arxiv","id":"2310.10647","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10647","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10647v2","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10647","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_12","alias_value":"T4JBNB2O2PBL","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_16","alias_value":"T4JBNB2O2PBLD5C5","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_8","alias_value":"T4JBNB2O","created_at":"2026-07-05T09:06:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:T4JBNB2O2PBLD5C5H6YAJQQDNX","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10647","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T17:59:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"094bd824ee4cfff022091236e1e7603519c1ff5a14cb520169d2260262ede0e7","abstract_canon_sha256":"31feaeac612dbaeef14735e1e2f5db5eb360d31b12c6e8a6d0e2e5642c560059"},"schema_version":"1.0"},"canonical_sha256":"9f1216874ed3c2b1f45d3fb004c2036dc57feca807c95503ae968a541f49db10","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:55.517563Z","signature_b64":"7sEeU7dM65a2K2C03O4fEiRY75oxCtCbmk2vpDAafAgXv5sVkHyQFqdxNhd2Bf9cXakf7sfHWvITQWxOi4JZBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f1216874ed3c2b1f45d3fb004c2036dc57feca807c95503ae968a541f49db10","last_reissued_at":"2026-07-05T09:06:55.517044Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:55.517044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10647","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":"2026-07-05T09:06:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/YAdEWYbn3/iSjBOOyJvXF6exAr5eWe9nGYACiYC/LjaPgigb09J03EgXTbeNHbBdwV3q/SY+vcVGC1IxnqBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:44:57.264018Z"},"content_sha256":"9c4a4aea14443308d6a2402ed41677c9ac1c18fba2af33212d84fdb21239af4f","schema_version":"1.0","event_id":"sha256:9c4a4aea14443308d6a2402ed41677c9ac1c18fba2af33212d84fdb21239af4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:T4JBNB2O2PBLD5C5H6YAJQQDNX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Video Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Hang Xu, Han Hu, Haoran Chen, Qi Dai, Qijun Feng, Yu-Gang Jiang, Zhen Xing, Zuxuan Wu","submitted_at":"2023-10-16T17:59:28Z","abstract_excerpt":"The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to their impressive generative capabilities, diffusion models are gradually superseding methods based on GANs and auto-regressive Transformers, demonstrating exceptional performance not only in image generation and editing, but also in the realm of video-related research. However, existing surveys mainly focus on diffusion models in the context of image generation, with few up-to-date reviews on their application in the vi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10647","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/2310.10647/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":"2026-07-05T09:06:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/eXGp4QBfbOo8kAZYWyWPppJHOMCIzwY+qtXJrgDj4hnogL/Q4G9cYJblSkU9i4MelsD4D3+sppyzb+9H69TDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:44:57.264560Z"},"content_sha256":"f29c4e3861c6b1a32748f71c4d3fe0855c3d992d96df7fedfe430fa2b7ad7cea","schema_version":"1.0","event_id":"sha256:f29c4e3861c6b1a32748f71c4d3fe0855c3d992d96df7fedfe430fa2b7ad7cea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/bundle.json","state_url":"https://pith.science/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/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":"2026-08-05T08:44:57Z","links":{"resolver":"https://pith.science/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX","bundle":"https://pith.science/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/bundle.json","state":"https://pith.science/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T4JBNB2O2PBLD5C5H6YAJQQDNX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:T4JBNB2O2PBLD5C5H6YAJQQDNX","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":"31feaeac612dbaeef14735e1e2f5db5eb360d31b12c6e8a6d0e2e5642c560059","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T17:59:28Z","title_canon_sha256":"094bd824ee4cfff022091236e1e7603519c1ff5a14cb520169d2260262ede0e7"},"schema_version":"1.0","source":{"id":"2310.10647","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10647","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10647v2","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10647","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_12","alias_value":"T4JBNB2O2PBL","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_16","alias_value":"T4JBNB2O2PBLD5C5","created_at":"2026-07-05T09:06:55Z"},{"alias_kind":"pith_short_8","alias_value":"T4JBNB2O","created_at":"2026-07-05T09:06:55Z"}],"graph_snapshots":[{"event_id":"sha256:f29c4e3861c6b1a32748f71c4d3fe0855c3d992d96df7fedfe430fa2b7ad7cea","target":"graph","created_at":"2026-07-05T09:06:55Z","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/2310.10647/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to their impressive generative capabilities, diffusion models are gradually superseding methods based on GANs and auto-regressive Transformers, demonstrating exceptional performance not only in image generation and editing, but also in the realm of video-related research. However, existing surveys mainly focus on diffusion models in the context of image generation, with few up-to-date reviews on their application in the vi","authors_text":"Hang Xu, Han Hu, Haoran Chen, Qi Dai, Qijun Feng, Yu-Gang Jiang, Zhen Xing, Zuxuan Wu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T17:59:28Z","title":"A Survey on Video Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10647","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":"sha256:9c4a4aea14443308d6a2402ed41677c9ac1c18fba2af33212d84fdb21239af4f","target":"record","created_at":"2026-07-05T09:06:55Z","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":"31feaeac612dbaeef14735e1e2f5db5eb360d31b12c6e8a6d0e2e5642c560059","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T17:59:28Z","title_canon_sha256":"094bd824ee4cfff022091236e1e7603519c1ff5a14cb520169d2260262ede0e7"},"schema_version":"1.0","source":{"id":"2310.10647","kind":"arxiv","version":2}},"canonical_sha256":"9f1216874ed3c2b1f45d3fb004c2036dc57feca807c95503ae968a541f49db10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f1216874ed3c2b1f45d3fb004c2036dc57feca807c95503ae968a541f49db10","first_computed_at":"2026-07-05T09:06:55.517044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:55.517044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7sEeU7dM65a2K2C03O4fEiRY75oxCtCbmk2vpDAafAgXv5sVkHyQFqdxNhd2Bf9cXakf7sfHWvITQWxOi4JZBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:55.517563Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10647","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c4a4aea14443308d6a2402ed41677c9ac1c18fba2af33212d84fdb21239af4f","sha256:f29c4e3861c6b1a32748f71c4d3fe0855c3d992d96df7fedfe430fa2b7ad7cea"],"state_sha256":"551e183572e819c8dc9837d3e9a753a2b6199c750944ab096becb03599eb2c21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CXYTLK/5wrk6lCNb0ggnnmxL4BXZRsZ2yva4C+haBAY3uy3QjNJwhjo2WOjHyR80RcxcwnuHczzOf01qkxXMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:44:57.269151Z","bundle_sha256":"c986c6d2ec3e7c39ad3206a4bd8a867274f49e2ac0070c87cd891ab2a9075532"}}