{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:CRXVBZVKI7V2APWJVH533VKFQK","short_pith_number":"pith:CRXVBZVK","schema_version":"1.0","canonical_sha256":"146f50e6aa47eba03ec9a9fbbdd54582ab99e4e44361aad1865ae3eeffb262c5","source":{"kind":"arxiv","id":"2211.14308","version":3},"attestation_state":"computed","paper":{"title":"WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cordelia Schmid, Guillaume Le Moing, Jean Ponce","submitted_at":"2022-11-25T18:59:46Z","abstract_excerpt":"This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multiple layers combining object masks and a small set of control points. The layer structure is shared across all frames in each video to build dense inter-frame connections. Complex scene motions are modeled by combining parametric geometric transformations associated with individual layers, and video synthesis is broken down into discovering the layers associated with past frames, predicting the corresponding transforma"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.14308","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-25T18:59:46Z","cross_cats_sorted":[],"title_canon_sha256":"61ee01a1c53e3a2adfa05290eb2fbcb24ce3f22732cf374b5042e9dd499cc3d8","abstract_canon_sha256":"e6c65769d78ec2feea506ce701b98197f9a99269dd839c1024d238e7cc37ad3d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:45:33.410406Z","signature_b64":"9AtsNhLgxiV9MBZunRvk3wC+dDTAdpO8DiCFKMpw5GBQz36WOXRLK5ye9EmsMzrh5WfH8eL11yUVrlCR0SOMCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"146f50e6aa47eba03ec9a9fbbdd54582ab99e4e44361aad1865ae3eeffb262c5","last_reissued_at":"2026-07-05T06:45:33.409923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:45:33.409923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cordelia Schmid, Guillaume Le Moing, Jean Ponce","submitted_at":"2022-11-25T18:59:46Z","abstract_excerpt":"This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multiple layers combining object masks and a small set of control points. The layer structure is shared across all frames in each video to build dense inter-frame connections. Complex scene motions are modeled by combining parametric geometric transformations associated with individual layers, and video synthesis is broken down into discovering the layers associated with past frames, predicting the corresponding transforma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14308","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/2211.14308/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.14308","created_at":"2026-07-05T06:45:33.409988+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.14308v3","created_at":"2026-07-05T06:45:33.409988+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14308","created_at":"2026-07-05T06:45:33.409988+00:00"},{"alias_kind":"pith_short_12","alias_value":"CRXVBZVKI7V2","created_at":"2026-07-05T06:45:33.409988+00:00"},{"alias_kind":"pith_short_16","alias_value":"CRXVBZVKI7V2APWJ","created_at":"2026-07-05T06:45:33.409988+00:00"},{"alias_kind":"pith_short_8","alias_value":"CRXVBZVK","created_at":"2026-07-05T06:45:33.409988+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK","json":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK.json","graph_json":"https://pith.science/api/pith-number/CRXVBZVKI7V2APWJVH533VKFQK/graph.json","events_json":"https://pith.science/api/pith-number/CRXVBZVKI7V2APWJVH533VKFQK/events.json","paper":"https://pith.science/paper/CRXVBZVK"},"agent_actions":{"view_html":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK","download_json":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK.json","view_paper":"https://pith.science/paper/CRXVBZVK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.14308&json=true","fetch_graph":"https://pith.science/api/pith-number/CRXVBZVKI7V2APWJVH533VKFQK/graph.json","fetch_events":"https://pith.science/api/pith-number/CRXVBZVKI7V2APWJVH533VKFQK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK/action/storage_attestation","attest_author":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK/action/author_attestation","sign_citation":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK/action/citation_signature","submit_replication":"https://pith.science/pith/CRXVBZVKI7V2APWJVH533VKFQK/action/replication_record"}},"created_at":"2026-07-05T06:45:33.409988+00:00","updated_at":"2026-07-05T06:45:33.409988+00:00"}