{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZRJA5TARMRKACSXTUGOCFSXFXB","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":"71a1b7ee37d04590b7a713e0e5a5156828cae6df72e2841cea54fa17bf2a30f4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-10-16T07:20:58Z","title_canon_sha256":"4e3b20d42a892c20fb3d05459aa77dd7f5566135c50753be136be53272acdb9d"},"schema_version":"1.0","source":{"id":"1910.07192","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.07192","created_at":"2026-07-05T00:12:33Z"},{"alias_kind":"arxiv_version","alias_value":"1910.07192v1","created_at":"2026-07-05T00:12:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.07192","created_at":"2026-07-05T00:12:33Z"},{"alias_kind":"pith_short_12","alias_value":"ZRJA5TARMRKA","created_at":"2026-07-05T00:12:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZRJA5TARMRKACSXT","created_at":"2026-07-05T00:12:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZRJA5TAR","created_at":"2026-07-05T00:12:33Z"}],"graph_snapshots":[{"event_id":"sha256:8e86cf2ddbae87acd1b8ae88245c8375310cd99b834ab16c08fd1dfed27dbc0b","target":"graph","created_at":"2026-07-05T00:12:33Z","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/1910.07192/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic generation of a high-quality video from a single image remains a challenging task despite the recent advances in deep generative models. This paper proposes a method that can create a high-resolution, long-term animation using convolutional neural networks (CNNs) from a single landscape image where we mainly focus on skies and waters. Our key observation is that the motion (e.g., moving clouds) and appearance (e.g., time-varying colors in the sky) in natural scenes have different time scales. We thus learn them separately and predict them with decoupled control while handling future ","authors_text":"Shigeru Kuriyama, Yoshihiro Kanamori, Yuki Endo","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-10-16T07:20:58Z","title":"Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.07192","kind":"arxiv","version":1},"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:e03c57e2990daac6db556c0bac8b06b413bf5754b79207aab739bbc8790535c0","target":"record","created_at":"2026-07-05T00:12:33Z","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":"71a1b7ee37d04590b7a713e0e5a5156828cae6df72e2841cea54fa17bf2a30f4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-10-16T07:20:58Z","title_canon_sha256":"4e3b20d42a892c20fb3d05459aa77dd7f5566135c50753be136be53272acdb9d"},"schema_version":"1.0","source":{"id":"1910.07192","kind":"arxiv","version":1}},"canonical_sha256":"cc520ecc116454014af3a19c22cae5b86d7df06fa1ec2e8073894e5dd992eb89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc520ecc116454014af3a19c22cae5b86d7df06fa1ec2e8073894e5dd992eb89","first_computed_at":"2026-07-05T00:12:33.734895Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:12:33.734895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TIf/2a8qMecRDR8uxD3sFRRWGv9sPPdp7febQ1WeTzjVuv/si0k18pmfZykMWOh9zTwEXRjm35mMGHNQXdqoAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:12:33.735363Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.07192","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e03c57e2990daac6db556c0bac8b06b413bf5754b79207aab739bbc8790535c0","sha256:8e86cf2ddbae87acd1b8ae88245c8375310cd99b834ab16c08fd1dfed27dbc0b"],"state_sha256":"d4ef4587d5521ffbaea0e354af5fc47e5f14e10fc030b9c50d8729583331d71d"}