{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:N6B6DBPVQQER7TFE2DZSQCMEIH","short_pith_number":"pith:N6B6DBPV","canonical_record":{"source":{"id":"2205.11495","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T17:51:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"addbd7e138dccdce5c0d923d1358c270935a2e32b01625cc735dec54bea9b3e6","abstract_canon_sha256":"4e72edce65b045a1ae5af9b5136009e999e7da9664a2536454ab045270a26be6"},"schema_version":"1.0"},"canonical_sha256":"6f83e185f584091fcca4d0f328098441c9c80daf00b37ad7758290dce15f8b28","source":{"kind":"arxiv","id":"2205.11495","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11495","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11495v3","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11495","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_12","alias_value":"N6B6DBPVQQER","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_16","alias_value":"N6B6DBPVQQER7TFE","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_8","alias_value":"N6B6DBPV","created_at":"2026-07-05T05:25:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:N6B6DBPVQQER7TFE2DZSQCMEIH","target":"record","payload":{"canonical_record":{"source":{"id":"2205.11495","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T17:51:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"addbd7e138dccdce5c0d923d1358c270935a2e32b01625cc735dec54bea9b3e6","abstract_canon_sha256":"4e72edce65b045a1ae5af9b5136009e999e7da9664a2536454ab045270a26be6"},"schema_version":"1.0"},"canonical_sha256":"6f83e185f584091fcca4d0f328098441c9c80daf00b37ad7758290dce15f8b28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:25:49.215857Z","signature_b64":"tI8jlHyc+JhKH31DID5gBbdMt9pKQGywG5CCfSbLrbU9d7A/1v9HMNN+1Pko6bl4TVStH/weI0Zw4nqk5kEZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6f83e185f584091fcca4d0f328098441c9c80daf00b37ad7758290dce15f8b28","last_reissued_at":"2026-07-05T05:25:49.215298Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:25:49.215298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.11495","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:25:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wcisgRIKKP/oFL1rQE0XClR606oVD/0M75aiB1wcJtNMnZ52yYeTCtCu/WFyZTTUy9egNbipVyZHa8dGtAh/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:39:41.002191Z"},"content_sha256":"41bd14ae9b577772146a5889afc0414b0cc4d4f227b24c0a5547cda8d5d2feab","schema_version":"1.0","event_id":"sha256:41bd14ae9b577772146a5889afc0414b0cc4d4f227b24c0a5547cda8d5d2feab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:N6B6DBPVQQER7TFE2DZSQCMEIH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Flexible Diffusion Modeling of Long Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Christian Weilbach, Frank Wood, Saeid Naderiparizi, Vaden Masrani, William Harvey","submitted_at":"2022-05-23T17:51:48Z","abstract_excerpt":"We present a framework for video modeling based on denoising diffusion probabilistic models that produces long-duration video completions in a variety of realistic environments. We introduce a generative model that can at test-time sample any arbitrary subset of video frames conditioned on any other subset and present an architecture adapted for this purpose. Doing so allows us to efficiently compare and optimize a variety of schedules for the order in which frames in a long video are sampled and use selective sparse and long-range conditioning on previously sampled frames. We demonstrate impr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11495","kind":"arxiv","version":3},"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/2205.11495/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":"2026-07-05T05:25:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0uy9BQ6hvlUA0lycpv8MplqdVT5V1V/uemg+2mCQeCnS6BaOZ9EhUIZtRibuPKWtDmEwXcCKZ1mXDfWxUtnxDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:39:41.002679Z"},"content_sha256":"517f7848c70497e2c4242dbf1d53e693b8dd8b20262121e3561ffaa758495edd","schema_version":"1.0","event_id":"sha256:517f7848c70497e2c4242dbf1d53e693b8dd8b20262121e3561ffaa758495edd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/bundle.json","state_url":"https://pith.science/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/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":"2026-08-18T17:39:41Z","links":{"resolver":"https://pith.science/pith/N6B6DBPVQQER7TFE2DZSQCMEIH","bundle":"https://pith.science/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/bundle.json","state":"https://pith.science/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N6B6DBPVQQER7TFE2DZSQCMEIH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:N6B6DBPVQQER7TFE2DZSQCMEIH","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":"4e72edce65b045a1ae5af9b5136009e999e7da9664a2536454ab045270a26be6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T17:51:48Z","title_canon_sha256":"addbd7e138dccdce5c0d923d1358c270935a2e32b01625cc735dec54bea9b3e6"},"schema_version":"1.0","source":{"id":"2205.11495","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11495","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11495v3","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11495","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_12","alias_value":"N6B6DBPVQQER","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_16","alias_value":"N6B6DBPVQQER7TFE","created_at":"2026-07-05T05:25:49Z"},{"alias_kind":"pith_short_8","alias_value":"N6B6DBPV","created_at":"2026-07-05T05:25:49Z"}],"graph_snapshots":[{"event_id":"sha256:517f7848c70497e2c4242dbf1d53e693b8dd8b20262121e3561ffaa758495edd","target":"graph","created_at":"2026-07-05T05:25:49Z","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/2205.11495/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a framework for video modeling based on denoising diffusion probabilistic models that produces long-duration video completions in a variety of realistic environments. We introduce a generative model that can at test-time sample any arbitrary subset of video frames conditioned on any other subset and present an architecture adapted for this purpose. Doing so allows us to efficiently compare and optimize a variety of schedules for the order in which frames in a long video are sampled and use selective sparse and long-range conditioning on previously sampled frames. We demonstrate impr","authors_text":"Christian Weilbach, Frank Wood, Saeid Naderiparizi, Vaden Masrani, William Harvey","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T17:51:48Z","title":"Flexible Diffusion Modeling of Long Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11495","kind":"arxiv","version":3},"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":"sha256:41bd14ae9b577772146a5889afc0414b0cc4d4f227b24c0a5547cda8d5d2feab","target":"record","created_at":"2026-07-05T05:25:49Z","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":"4e72edce65b045a1ae5af9b5136009e999e7da9664a2536454ab045270a26be6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-23T17:51:48Z","title_canon_sha256":"addbd7e138dccdce5c0d923d1358c270935a2e32b01625cc735dec54bea9b3e6"},"schema_version":"1.0","source":{"id":"2205.11495","kind":"arxiv","version":3}},"canonical_sha256":"6f83e185f584091fcca4d0f328098441c9c80daf00b37ad7758290dce15f8b28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f83e185f584091fcca4d0f328098441c9c80daf00b37ad7758290dce15f8b28","first_computed_at":"2026-07-05T05:25:49.215298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:25:49.215298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tI8jlHyc+JhKH31DID5gBbdMt9pKQGywG5CCfSbLrbU9d7A/1v9HMNN+1Pko6bl4TVStH/weI0Zw4nqk5kEZDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:25:49.215857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.11495","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41bd14ae9b577772146a5889afc0414b0cc4d4f227b24c0a5547cda8d5d2feab","sha256:517f7848c70497e2c4242dbf1d53e693b8dd8b20262121e3561ffaa758495edd"],"state_sha256":"e85460290a4bf4ae00b9fb67f671832e461ad1da30c63dfc15238ca1afb0c237"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l6flQ9sJyKbYs9Y4Hicjudx8cy59rSPyzMGHRjDw58Ypc5lfUSbodUJEtUbwBDywjZqkPavuF64lS+m8YfL7Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:39:41.006023Z","bundle_sha256":"facfecee9ad65c7cabd9dfa215f92be9e8c37f60072ab66b00f256fd2a39c0e9"}}