{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:TYLU7LGTRHYSA6OJZPVU6KKCEU","short_pith_number":"pith:TYLU7LGT","canonical_record":{"source":{"id":"2204.03638","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-07T17:59:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cfdc06c1cc680141632d839508c5c7be01afd0957736e7485054258fe2caaf10","abstract_canon_sha256":"8221a07e225c78c45d2eb341fa3cd832d4cc258b57f78c693f84ad9de4b3c212"},"schema_version":"1.0"},"canonical_sha256":"9e174facd389f12079c9cbeb4f29422515cf6def17007e611b74cc038cc175c0","source":{"kind":"arxiv","id":"2204.03638","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.03638","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"arxiv_version","alias_value":"2204.03638v4","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03638","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_12","alias_value":"TYLU7LGTRHYS","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_16","alias_value":"TYLU7LGTRHYSA6OJ","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_8","alias_value":"TYLU7LGT","created_at":"2026-07-05T05:00:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:TYLU7LGTRHYSA6OJZPVU6KKCEU","target":"record","payload":{"canonical_record":{"source":{"id":"2204.03638","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-07T17:59:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cfdc06c1cc680141632d839508c5c7be01afd0957736e7485054258fe2caaf10","abstract_canon_sha256":"8221a07e225c78c45d2eb341fa3cd832d4cc258b57f78c693f84ad9de4b3c212"},"schema_version":"1.0"},"canonical_sha256":"9e174facd389f12079c9cbeb4f29422515cf6def17007e611b74cc038cc175c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:00:41.550137Z","signature_b64":"MMG+2XDqUSw7sOp15vEfCPJbpS2b+RArxQDN7KoBCFUeH4W1g2NrFbswUHx/o9hvdKzAGL34PVgg8lnKaeq+Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e174facd389f12079c9cbeb4f29422515cf6def17007e611b74cc038cc175c0","last_reissued_at":"2026-07-05T05:00:41.549654Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:00:41.549654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.03638","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:00:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CTzocMJXdeZLcyZCSbcvEqQxyQFmzf0l7Yv88sycPaadx9ytGXTNJFz/F4exgKGX+B+oc7IFAGdyxNW0Fx42AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:51:32.773830Z"},"content_sha256":"c455231b2d0b3d409c2ffe450e3fccd22d1e24336624d38b3a87613effad0ea3","schema_version":"1.0","event_id":"sha256:c455231b2d0b3d409c2ffe450e3fccd22d1e24336624d38b3a87613effad0ea3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:TYLU7LGTRHYSA6OJZPVU6KKCEU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"David Jacobs, Devi Parikh, Guan Pang, Harry Yang, Jia-Bin Huang, Songwei Ge, Thomas Hayes, Xi Yin","submitted_at":"2022-04-07T17:59:02Z","abstract_excerpt":"Videos are created to express emotion, exchange information, and share experiences. Video synthesis has intrigued researchers for a long time. Despite the rapid progress driven by advances in visual synthesis, most existing studies focus on improving the frames' quality and the transitions between them, while little progress has been made in generating longer videos. In this paper, we present a method that builds on 3D-VQGAN and transformers to generate videos with thousands of frames. Our evaluation shows that our model trained on 16-frame video clips from standard benchmarks such as UCF-101,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03638","kind":"arxiv","version":4},"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/2204.03638/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":"2026-07-05T05:00:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c1y5kn1KbabqX2kHilxgwIoQO5EGWqf3VYwFdWhXcfdnkILYDgC80uYZ1DknMQRR41GjqTCdJxau9IkW2mCBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:51:32.774326Z"},"content_sha256":"4a687d9df7e86db10c13a4f72cb3ba23f36c02b31d91b69ccf36e45ab86324f2","schema_version":"1.0","event_id":"sha256:4a687d9df7e86db10c13a4f72cb3ba23f36c02b31d91b69ccf36e45ab86324f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/bundle.json","state_url":"https://pith.science/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/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":"2026-08-05T04:51:32Z","links":{"resolver":"https://pith.science/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU","bundle":"https://pith.science/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/bundle.json","state":"https://pith.science/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TYLU7LGTRHYSA6OJZPVU6KKCEU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:TYLU7LGTRHYSA6OJZPVU6KKCEU","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":"8221a07e225c78c45d2eb341fa3cd832d4cc258b57f78c693f84ad9de4b3c212","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-07T17:59:02Z","title_canon_sha256":"cfdc06c1cc680141632d839508c5c7be01afd0957736e7485054258fe2caaf10"},"schema_version":"1.0","source":{"id":"2204.03638","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.03638","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"arxiv_version","alias_value":"2204.03638v4","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03638","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_12","alias_value":"TYLU7LGTRHYS","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_16","alias_value":"TYLU7LGTRHYSA6OJ","created_at":"2026-07-05T05:00:41Z"},{"alias_kind":"pith_short_8","alias_value":"TYLU7LGT","created_at":"2026-07-05T05:00:41Z"}],"graph_snapshots":[{"event_id":"sha256:4a687d9df7e86db10c13a4f72cb3ba23f36c02b31d91b69ccf36e45ab86324f2","target":"graph","created_at":"2026-07-05T05:00:41Z","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/2204.03638/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Videos are created to express emotion, exchange information, and share experiences. Video synthesis has intrigued researchers for a long time. Despite the rapid progress driven by advances in visual synthesis, most existing studies focus on improving the frames' quality and the transitions between them, while little progress has been made in generating longer videos. In this paper, we present a method that builds on 3D-VQGAN and transformers to generate videos with thousands of frames. Our evaluation shows that our model trained on 16-frame video clips from standard benchmarks such as UCF-101,","authors_text":"David Jacobs, Devi Parikh, Guan Pang, Harry Yang, Jia-Bin Huang, Songwei Ge, Thomas Hayes, Xi Yin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-07T17:59:02Z","title":"Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03638","kind":"arxiv","version":4},"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:c455231b2d0b3d409c2ffe450e3fccd22d1e24336624d38b3a87613effad0ea3","target":"record","created_at":"2026-07-05T05:00:41Z","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":"8221a07e225c78c45d2eb341fa3cd832d4cc258b57f78c693f84ad9de4b3c212","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-04-07T17:59:02Z","title_canon_sha256":"cfdc06c1cc680141632d839508c5c7be01afd0957736e7485054258fe2caaf10"},"schema_version":"1.0","source":{"id":"2204.03638","kind":"arxiv","version":4}},"canonical_sha256":"9e174facd389f12079c9cbeb4f29422515cf6def17007e611b74cc038cc175c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e174facd389f12079c9cbeb4f29422515cf6def17007e611b74cc038cc175c0","first_computed_at":"2026-07-05T05:00:41.549654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:41.549654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MMG+2XDqUSw7sOp15vEfCPJbpS2b+RArxQDN7KoBCFUeH4W1g2NrFbswUHx/o9hvdKzAGL34PVgg8lnKaeq+Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:41.550137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.03638","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c455231b2d0b3d409c2ffe450e3fccd22d1e24336624d38b3a87613effad0ea3","sha256:4a687d9df7e86db10c13a4f72cb3ba23f36c02b31d91b69ccf36e45ab86324f2"],"state_sha256":"3918fb0922cb8cb21f07afa08dd60ff10add08b86525d7f99769d91c5dff31cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e4iFE+geLd4EP1LfxCMayfIs7o9HtSnMQYQt44wCpqkP/Uif6Hb+cdZIuNdBA70XFXC1PIVNITUQnWKVwdq2Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:51:32.777965Z","bundle_sha256":"3f6797173fd03100179d6450f333353d8cd6400066830b2fadbc7dc1636fa882"}}