{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:AFFDXQO2P7SZR57WQRGX6TYKDR","short_pith_number":"pith:AFFDXQO2","canonical_record":{"source":{"id":"1712.00080","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T21:05:15Z","cross_cats_sorted":[],"title_canon_sha256":"33b45e9d20c9a073cc05fdb136de31f7d7115d9eb1d6cbe44a923d69065b9f2d","abstract_canon_sha256":"9e5de1c48f7ff4fb16216c1f30319a2435bf6919f044643628357e467666e24b"},"schema_version":"1.0"},"canonical_sha256":"014a3bc1da7fe598f7f6844d7f4f0a1c57c4fdfdd6f0ad4308ba1c2eec54ce2d","source":{"kind":"arxiv","id":"1712.00080","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.00080","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"arxiv_version","alias_value":"1712.00080v2","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00080","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"pith_short_12","alias_value":"AFFDXQO2P7SZ","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AFFDXQO2P7SZR57W","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AFFDXQO2","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:AFFDXQO2P7SZR57WQRGX6TYKDR","target":"record","payload":{"canonical_record":{"source":{"id":"1712.00080","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T21:05:15Z","cross_cats_sorted":[],"title_canon_sha256":"33b45e9d20c9a073cc05fdb136de31f7d7115d9eb1d6cbe44a923d69065b9f2d","abstract_canon_sha256":"9e5de1c48f7ff4fb16216c1f30319a2435bf6919f044643628357e467666e24b"},"schema_version":"1.0"},"canonical_sha256":"014a3bc1da7fe598f7f6844d7f4f0a1c57c4fdfdd6f0ad4308ba1c2eec54ce2d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:48.873370Z","signature_b64":"sEoQ1azeoa4b/cXYMO2+KJkPfo1dWLjFRHie4SX8joNmayp3jkDxmaArxl7+Jgo8FgXrFZ5veFwfvBFb6iucCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"014a3bc1da7fe598f7f6844d7f4f0a1c57c4fdfdd6f0ad4308ba1c2eec54ce2d","last_reissued_at":"2026-05-18T00:10:48.872500Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:48.872500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.00080","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D1c6mPFMQmE1OcVVOguQZOB0e27SjjjrcciQOkSjJ7IVZSbFJ4FJMHdoFs9D4UNOrM2V4QEgEUgp5w089B8VAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:06:33.428982Z"},"content_sha256":"b03a3d68f6977af87a8ed3ab5e8b2c4681107e0ee7599348b8c358a62cc05f49","schema_version":"1.0","event_id":"sha256:b03a3d68f6977af87a8ed3ab5e8b2c4681107e0ee7599348b8c358a62cc05f49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:AFFDXQO2P7SZR57WQRGX6TYKDR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deqing Sun, Erik Learned-Miller, Huaizu Jiang, Jan Kautz, Ming-Hsuan Yang, Varun Jampani","submitted_at":"2017-11-30T21:05:15Z","abstract_excerpt":"Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally coherent video sequences. While most existing methods focus on single-frame interpolation, we propose an end-to-end convolutional neural network for variable-length multi-frame video interpolation, where the motion interpretation and occlusion reasoning are jointly modeled. We start by computing bi-directional optical flow between the input images using a U-Net architecture. These flows are then linearly combined at each time step to approximate the intermediate bi-d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00080","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:10:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sws8PdxgwFvj2fxnGIPoOLMFElMQ8DVZ6PHzQAGJpehshpOvJ8D/LYN4Js8X8iOSyebGVvQytn2G+DNS8m6+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:06:33.429650Z"},"content_sha256":"95f037debe9770389f62ec71e42dc8deafe0f2a8da235a42e9f2c0632df6a915","schema_version":"1.0","event_id":"sha256:95f037debe9770389f62ec71e42dc8deafe0f2a8da235a42e9f2c0632df6a915"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/bundle.json","state_url":"https://pith.science/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/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":"2026-05-25T20:06:33Z","links":{"resolver":"https://pith.science/pith/AFFDXQO2P7SZR57WQRGX6TYKDR","bundle":"https://pith.science/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/bundle.json","state":"https://pith.science/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AFFDXQO2P7SZR57WQRGX6TYKDR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:AFFDXQO2P7SZR57WQRGX6TYKDR","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":"9e5de1c48f7ff4fb16216c1f30319a2435bf6919f044643628357e467666e24b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T21:05:15Z","title_canon_sha256":"33b45e9d20c9a073cc05fdb136de31f7d7115d9eb1d6cbe44a923d69065b9f2d"},"schema_version":"1.0","source":{"id":"1712.00080","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.00080","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"arxiv_version","alias_value":"1712.00080v2","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00080","created_at":"2026-05-18T00:10:48Z"},{"alias_kind":"pith_short_12","alias_value":"AFFDXQO2P7SZ","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AFFDXQO2P7SZR57W","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AFFDXQO2","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:95f037debe9770389f62ec71e42dc8deafe0f2a8da235a42e9f2c0632df6a915","target":"graph","created_at":"2026-05-18T00:10:48Z","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":"Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally coherent video sequences. While most existing methods focus on single-frame interpolation, we propose an end-to-end convolutional neural network for variable-length multi-frame video interpolation, where the motion interpretation and occlusion reasoning are jointly modeled. We start by computing bi-directional optical flow between the input images using a U-Net architecture. These flows are then linearly combined at each time step to approximate the intermediate bi-d","authors_text":"Deqing Sun, Erik Learned-Miller, Huaizu Jiang, Jan Kautz, Ming-Hsuan Yang, Varun Jampani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T21:05:15Z","title":"Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00080","kind":"arxiv","version":2},"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:b03a3d68f6977af87a8ed3ab5e8b2c4681107e0ee7599348b8c358a62cc05f49","target":"record","created_at":"2026-05-18T00:10:48Z","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":"9e5de1c48f7ff4fb16216c1f30319a2435bf6919f044643628357e467666e24b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T21:05:15Z","title_canon_sha256":"33b45e9d20c9a073cc05fdb136de31f7d7115d9eb1d6cbe44a923d69065b9f2d"},"schema_version":"1.0","source":{"id":"1712.00080","kind":"arxiv","version":2}},"canonical_sha256":"014a3bc1da7fe598f7f6844d7f4f0a1c57c4fdfdd6f0ad4308ba1c2eec54ce2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"014a3bc1da7fe598f7f6844d7f4f0a1c57c4fdfdd6f0ad4308ba1c2eec54ce2d","first_computed_at":"2026-05-18T00:10:48.872500Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:48.872500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sEoQ1azeoa4b/cXYMO2+KJkPfo1dWLjFRHie4SX8joNmayp3jkDxmaArxl7+Jgo8FgXrFZ5veFwfvBFb6iucCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:48.873370Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.00080","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b03a3d68f6977af87a8ed3ab5e8b2c4681107e0ee7599348b8c358a62cc05f49","sha256:95f037debe9770389f62ec71e42dc8deafe0f2a8da235a42e9f2c0632df6a915"],"state_sha256":"3af1a75dd6c3af7fb089032f881e3e89329a480c5326fc98ce80ac43a3bbd0fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"at69XCsnTMCaADSmOtkcsxMKrhpreFUIrAgvdtGksobT0+K2Dwdw7fWINUCkTlOHiBS4qim3sTqCUls8QrlBCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T20:06:33.433494Z","bundle_sha256":"da572f777d20092275ef1dedc405daf231bd7361489cdd62cdb93792b3d193c7"}}