{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4UNA4NGNWJDS4PO6EWTKGHVMWS","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":"47ff0ede537a1aa6c6ca6592d48793124f0145cbb579df7c59a9912dd7882631","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-16T15:03:05Z","title_canon_sha256":"6a21d61a856b4bda924c364dd7aed5c4b9ac0af2128e066ca392ee37cb889166"},"schema_version":"1.0","source":{"id":"2407.11814","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.11814","created_at":"2026-07-05T09:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"2407.11814v3","created_at":"2026-07-05T09:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.11814","created_at":"2026-07-05T09:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"4UNA4NGNWJDS","created_at":"2026-07-05T09:45:51Z"},{"alias_kind":"pith_short_16","alias_value":"4UNA4NGNWJDS4PO6","created_at":"2026-07-05T09:45:51Z"},{"alias_kind":"pith_short_8","alias_value":"4UNA4NGN","created_at":"2026-07-05T09:45:51Z"}],"graph_snapshots":[{"event_id":"sha256:f02294fae1a4b8e2a9f4519837bf1b35fbc93b34a04ce535ea7cf296b89efdb6","target":"graph","created_at":"2026-07-05T09:45:51Z","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/2407.11814/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generated video scenes for action-centric sequence descriptions, such as recipe instructions and do-it-yourself projects, often include non-linear patterns, where the next video may need to be visually consistent not with the immediately preceding video but with earlier ones. Current multi-scene video synthesis approaches fail to meet these consistency requirements. To address this, we propose a contrastive sequential video diffusion method that selects the most suitable previously generated scene to guide and condition the denoising process of the next scene. The result is a multi-scene video","authors_text":"Idan Szpektor, Joao Magalhaes, Michal Yarom, Vasco Ramos, Yonatan Bitton","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-16T15:03:05Z","title":"Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.11814","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":"sha256:36c9bdace0b6acae9935ee9f3fe5b25194294a23c9a9a9e1ab9d5d190045382a","target":"record","created_at":"2026-07-05T09:45:51Z","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":"47ff0ede537a1aa6c6ca6592d48793124f0145cbb579df7c59a9912dd7882631","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-16T15:03:05Z","title_canon_sha256":"6a21d61a856b4bda924c364dd7aed5c4b9ac0af2128e066ca392ee37cb889166"},"schema_version":"1.0","source":{"id":"2407.11814","kind":"arxiv","version":3}},"canonical_sha256":"e51a0e34cdb2472e3dde25a6a31eacb4b19b65ebaa5f074f9bcd80c2c4173a0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e51a0e34cdb2472e3dde25a6a31eacb4b19b65ebaa5f074f9bcd80c2c4173a0c","first_computed_at":"2026-07-05T09:45:51.586345Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:51.586345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f+4rH+N8gKyrN5juZvAORv2oUoX2fgkscTNL1FMDGyaYjRIFW8RMFkw3i7zZ2gpbvbrkU/DwCUoWuyWHEap+BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:51.586801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.11814","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36c9bdace0b6acae9935ee9f3fe5b25194294a23c9a9a9e1ab9d5d190045382a","sha256:f02294fae1a4b8e2a9f4519837bf1b35fbc93b34a04ce535ea7cf296b89efdb6"],"state_sha256":"30220750c5699a16666e01632c949798d503e2a9f0352d0c08ca4b5f7ff2fd76"}