{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZGF4DTJFF4Y2PUHYQXMXPVJGTG","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":"fb15f148bd2b66062517ae351dea47d0ea9b3931da42052495d64fe55596e98a","cross_cats_sorted":["cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-22T00:26:15Z","title_canon_sha256":"42d33c2ae7a1682724ae0cf3de6dccd0e7608e3f515087deb7f7f76bc21fbb5e"},"schema_version":"1.0","source":{"id":"2311.13073","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.13073","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"arxiv_version","alias_value":"2311.13073v2","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.13073","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZGF4DTJFF4Y2","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZGF4DTJFF4Y2PUHY","created_at":"2026-07-05T07:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZGF4DTJF","created_at":"2026-07-05T07:26:18Z"}],"graph_snapshots":[{"event_id":"sha256:3c927dcaab8df9fd4cbe4d85aae1c46c39049d33c1fdaf85421c23e4fa297b2b","target":"graph","created_at":"2026-07-05T07:26:18Z","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/2311.13073/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimedia generation approaches occupy a prominent place in artificial intelligence research. Text-to-image models achieved high-quality results over the last few years. However, video synthesis methods recently started to develop. This paper presents a new two-stage latent diffusion text-to-video generation architecture based on the text-to-image diffusion model. The first stage concerns keyframes synthesis to figure the storyline of a video, while the second one is devoted to interpolation frames generation to make movements of the scene and objects smooth. We compare several temporal condi","authors_text":"Andrey Kuznetsov, Denis Dimitrov, Elizaveta Dakhova, Viacheslav Vasilev, Vladimir Arkhipkin, Zein Shaheen","cross_cats":["cs.LG","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-22T00:26:15Z","title":"FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.13073","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":"sha256:060d4f6002f46f81dab7b14ac6fbcf14f306202eb625ce9d340cc8a9109be44e","target":"record","created_at":"2026-07-05T07:26:18Z","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":"fb15f148bd2b66062517ae351dea47d0ea9b3931da42052495d64fe55596e98a","cross_cats_sorted":["cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-22T00:26:15Z","title_canon_sha256":"42d33c2ae7a1682724ae0cf3de6dccd0e7608e3f515087deb7f7f76bc21fbb5e"},"schema_version":"1.0","source":{"id":"2311.13073","kind":"arxiv","version":2}},"canonical_sha256":"c98bc1cd252f31a7d0f885d977d52699a69e60ad7415f68499bde281f4328a2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c98bc1cd252f31a7d0f885d977d52699a69e60ad7415f68499bde281f4328a2b","first_computed_at":"2026-07-05T07:26:18.701602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:18.701602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O1gB97NE+qbA1ExmsfJoOWiZo/UFXKlDaabxgEI/ku2q9uNb6wDjqwS3cjAfpgBK0ZDd7uHF6nERnxsTTE+GAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:18.702084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.13073","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:060d4f6002f46f81dab7b14ac6fbcf14f306202eb625ce9d340cc8a9109be44e","sha256:3c927dcaab8df9fd4cbe4d85aae1c46c39049d33c1fdaf85421c23e4fa297b2b"],"state_sha256":"8725806b26f24f7aba19e4b922b9bfb19089334856d1b49d37345a06436a7e20"}