{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BIZEYIG5SNFCBQW2EVD7Z5FXSM","short_pith_number":"pith:BIZEYIG5","canonical_record":{"source":{"id":"2409.14149","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-21T13:59:50Z","cross_cats_sorted":[],"title_canon_sha256":"0732d3b9161415e3b06a97a2e8397b0f490aa69ffa8b625b6e16c7929b3eea2a","abstract_canon_sha256":"cbf7b3ba205512b6caf960dc8b848d5a4c80e459eb1de21054f8df57187e444a"},"schema_version":"1.0"},"canonical_sha256":"0a324c20dd934a20c2da2547fcf4b793389d423ea95f8e65f0dedefded9df545","source":{"kind":"arxiv","id":"2409.14149","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14149","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14149v2","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14149","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_12","alias_value":"BIZEYIG5SNFC","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_16","alias_value":"BIZEYIG5SNFCBQW2","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_8","alias_value":"BIZEYIG5","created_at":"2026-07-05T09:12:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BIZEYIG5SNFCBQW2EVD7Z5FXSM","target":"record","payload":{"canonical_record":{"source":{"id":"2409.14149","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-21T13:59:50Z","cross_cats_sorted":[],"title_canon_sha256":"0732d3b9161415e3b06a97a2e8397b0f490aa69ffa8b625b6e16c7929b3eea2a","abstract_canon_sha256":"cbf7b3ba205512b6caf960dc8b848d5a4c80e459eb1de21054f8df57187e444a"},"schema_version":"1.0"},"canonical_sha256":"0a324c20dd934a20c2da2547fcf4b793389d423ea95f8e65f0dedefded9df545","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:31.157430Z","signature_b64":"LRd9WT6Q2it7fbqx0Dp29Lqu6LNS6G3wruTGNElo8ImhZEHWDuf8I4mxiA0lo1BuK63SXwGiAoA4J4NnQ54FCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a324c20dd934a20c2da2547fcf4b793389d423ea95f8e65f0dedefded9df545","last_reissued_at":"2026-07-05T09:12:31.156993Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:31.156993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.14149","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":"2026-07-05T09:12:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7ZRYgvbVK0q7hQZj1pB9sv9mZCnalZh29PHJkNPqtpN1PqZi5tP5sTQHW96vChXIUumm1o9f4avLiITO3f8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T08:18:22.543632Z"},"content_sha256":"74a3561423991b1397205ceec5265a398004006ab9194d2f84e34108a88ee825","schema_version":"1.0","event_id":"sha256:74a3561423991b1397205ceec5265a398004006ab9194d2f84e34108a88ee825"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BIZEYIG5SNFCBQW2EVD7Z5FXSM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernhard Kainz, Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Qingjie Meng, Sarah Cechnicka","submitted_at":"2024-09-21T13:59:50Z","abstract_excerpt":"We introduce the Joint Video-Image Diffusion model (JVID), a novel approach to generating high-quality and temporally coherent videos. We achieve this by integrating two diffusion models: a Latent Image Diffusion Model (LIDM) trained on images and a Latent Video Diffusion Model (LVDM) trained on video data. Our method combines these models in the reverse diffusion process, where the LIDM enhances image quality and the LVDM ensures temporal consistency. This unique combination allows us to effectively handle the complex spatio-temporal dynamics in video generation. Our results demonstrate quant"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14149","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/2409.14149/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":"2026-07-05T09:12:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WyC8kNSH0qk1P8QbhnldopHx9nJy8Yj3TO3SORYYLyQ5jrBRwtf9KmmIizoVGl8STK72B6zDztWtbRHK3GJODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T08:18:22.543982Z"},"content_sha256":"8cf4f7c8de1e3375fc1a1794c58392c98f33ad81a4584b5902ef34fa0e07469c","schema_version":"1.0","event_id":"sha256:8cf4f7c8de1e3375fc1a1794c58392c98f33ad81a4584b5902ef34fa0e07469c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/bundle.json","state_url":"https://pith.science/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/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":"2026-08-23T08:18:22Z","links":{"resolver":"https://pith.science/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM","bundle":"https://pith.science/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/bundle.json","state":"https://pith.science/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BIZEYIG5SNFCBQW2EVD7Z5FXSM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BIZEYIG5SNFCBQW2EVD7Z5FXSM","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":"cbf7b3ba205512b6caf960dc8b848d5a4c80e459eb1de21054f8df57187e444a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-21T13:59:50Z","title_canon_sha256":"0732d3b9161415e3b06a97a2e8397b0f490aa69ffa8b625b6e16c7929b3eea2a"},"schema_version":"1.0","source":{"id":"2409.14149","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14149","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14149v2","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14149","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_12","alias_value":"BIZEYIG5SNFC","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_16","alias_value":"BIZEYIG5SNFCBQW2","created_at":"2026-07-05T09:12:31Z"},{"alias_kind":"pith_short_8","alias_value":"BIZEYIG5","created_at":"2026-07-05T09:12:31Z"}],"graph_snapshots":[{"event_id":"sha256:8cf4f7c8de1e3375fc1a1794c58392c98f33ad81a4584b5902ef34fa0e07469c","target":"graph","created_at":"2026-07-05T09:12:31Z","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/2409.14149/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Joint Video-Image Diffusion model (JVID), a novel approach to generating high-quality and temporally coherent videos. We achieve this by integrating two diffusion models: a Latent Image Diffusion Model (LIDM) trained on images and a Latent Video Diffusion Model (LVDM) trained on video data. Our method combines these models in the reverse diffusion process, where the LIDM enhances image quality and the LVDM ensures temporal consistency. This unique combination allows us to effectively handle the complex spatio-temporal dynamics in video generation. Our results demonstrate quant","authors_text":"Bernhard Kainz, Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Qingjie Meng, Sarah Cechnicka","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-21T13:59:50Z","title":"JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14149","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":"sha256:74a3561423991b1397205ceec5265a398004006ab9194d2f84e34108a88ee825","target":"record","created_at":"2026-07-05T09:12:31Z","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":"cbf7b3ba205512b6caf960dc8b848d5a4c80e459eb1de21054f8df57187e444a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-21T13:59:50Z","title_canon_sha256":"0732d3b9161415e3b06a97a2e8397b0f490aa69ffa8b625b6e16c7929b3eea2a"},"schema_version":"1.0","source":{"id":"2409.14149","kind":"arxiv","version":2}},"canonical_sha256":"0a324c20dd934a20c2da2547fcf4b793389d423ea95f8e65f0dedefded9df545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a324c20dd934a20c2da2547fcf4b793389d423ea95f8e65f0dedefded9df545","first_computed_at":"2026-07-05T09:12:31.156993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:31.156993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LRd9WT6Q2it7fbqx0Dp29Lqu6LNS6G3wruTGNElo8ImhZEHWDuf8I4mxiA0lo1BuK63SXwGiAoA4J4NnQ54FCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:31.157430Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.14149","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74a3561423991b1397205ceec5265a398004006ab9194d2f84e34108a88ee825","sha256:8cf4f7c8de1e3375fc1a1794c58392c98f33ad81a4584b5902ef34fa0e07469c"],"state_sha256":"addbae7f5e677ece764c3a1580c954c910b7f225411aed8840c9c9e22ea7229d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wQePrl4wM+CHSwCBCg1cpcA8UOCgwvNdZe247gnTKpdy1rM6Vh8yEfvUAOPy8gL/aDg5J6sOVkf3CmyEN+/ZAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T08:18:22.548216Z","bundle_sha256":"704981de1e62e1aedb7ad6158b034e7fef3357eeb7de6049a3680d0e25359be7"}}