{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:YPP23DABOM7F27P3OD2UA4C3LL","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":"181df1709b19a2f7bcd213b49a9f09cc930987ae953e76ccee6f6e6dbcd484dc","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-17T15:36:32Z","title_canon_sha256":"96cf295ca81d13f08b78eeaf43c7060f1097c3ff9ffcf4c2d636d0b6de3a6711"},"schema_version":"1.0","source":{"id":"1511.05440","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.05440","created_at":"2026-05-18T01:19:53Z"},{"alias_kind":"arxiv_version","alias_value":"1511.05440v6","created_at":"2026-05-18T01:19:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.05440","created_at":"2026-05-18T01:19:53Z"},{"alias_kind":"pith_short_12","alias_value":"YPP23DABOM7F","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"YPP23DABOM7F27P3","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"YPP23DAB","created_at":"2026-05-18T12:29:50Z"}],"graph_snapshots":[{"event_id":"sha256:6190faafeb3802a64e224c475a1b986282f99df5e8f55cbf1b80c723b16b4be7","target":"graph","created_at":"2026-05-18T01:19:53Z","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"},"paper":{"abstract_excerpt":"Learning to predict future images from a video sequence involves the construction of an internal representation that models the image evolution accurately, and therefore, to some degree, its content and dynamics. This is why pixel-space video prediction may be viewed as a promising avenue for unsupervised feature learning. In addition, while optical flow has been a very studied problem in computer vision for a long time, future frame prediction is rarely approached. Still, many vision applications could benefit from the knowledge of the next frames of videos, that does not require the complexi","authors_text":"Camille Couprie, Michael Mathieu, Yann LeCun","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-17T15:36:32Z","title":"Deep multi-scale video prediction beyond mean square error"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.05440","kind":"arxiv","version":6},"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:e893553600c42c9fbbacd2c577b45e2de88cdf2846fb3885a5f6cb9070472d80","target":"record","created_at":"2026-05-18T01:19:53Z","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":"181df1709b19a2f7bcd213b49a9f09cc930987ae953e76ccee6f6e6dbcd484dc","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-11-17T15:36:32Z","title_canon_sha256":"96cf295ca81d13f08b78eeaf43c7060f1097c3ff9ffcf4c2d636d0b6de3a6711"},"schema_version":"1.0","source":{"id":"1511.05440","kind":"arxiv","version":6}},"canonical_sha256":"c3dfad8c01733e5d7dfb70f540705b5ad507341df14c4805b098d04fcc7fc35b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3dfad8c01733e5d7dfb70f540705b5ad507341df14c4805b098d04fcc7fc35b","first_computed_at":"2026-05-18T01:19:53.411649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:53.411649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zW4p8BDtf34rhyqPg9IlAAnCGnZd9qCPwg5Utnh4r92cfM+JASPTxVg6YV0eiVpP8lcvQZwYJ3og+l7vfUCIDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:53.412238Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.05440","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e893553600c42c9fbbacd2c577b45e2de88cdf2846fb3885a5f6cb9070472d80","sha256:6190faafeb3802a64e224c475a1b986282f99df5e8f55cbf1b80c723b16b4be7"],"state_sha256":"aeb6cd4f468f5ce89c0e072b8590539edfa77e472d6feffbf494e1b8aa08e223"}