{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5ZEBO6U3QQDOYVDD24CRY3QIIF","short_pith_number":"pith:5ZEBO6U3","canonical_record":{"source":{"id":"2207.09048","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-19T03:37:49Z","cross_cats_sorted":[],"title_canon_sha256":"579f24a7161410f0bf9b96b748fad8a3e276c3771ee64f1c36264010d8a1f737","abstract_canon_sha256":"3b3fae3ebee6851b5e8c07faba5379e6dd024060813809f97a8cb7635a6e2b99"},"schema_version":"1.0"},"canonical_sha256":"ee48177a9b8406ec5463d7051c6e084157065123f6fe0a33d3008abb33769a99","source":{"kind":"arxiv","id":"2207.09048","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.09048","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"arxiv_version","alias_value":"2207.09048v1","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.09048","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_12","alias_value":"5ZEBO6U3QQDO","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_16","alias_value":"5ZEBO6U3QQDOYVDD","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_8","alias_value":"5ZEBO6U3","created_at":"2026-07-05T04:41:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5ZEBO6U3QQDOYVDD24CRY3QIIF","target":"record","payload":{"canonical_record":{"source":{"id":"2207.09048","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-19T03:37:49Z","cross_cats_sorted":[],"title_canon_sha256":"579f24a7161410f0bf9b96b748fad8a3e276c3771ee64f1c36264010d8a1f737","abstract_canon_sha256":"3b3fae3ebee6851b5e8c07faba5379e6dd024060813809f97a8cb7635a6e2b99"},"schema_version":"1.0"},"canonical_sha256":"ee48177a9b8406ec5463d7051c6e084157065123f6fe0a33d3008abb33769a99","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:41:16.271551Z","signature_b64":"fQoIxu+sX6B9ECmZgLn5xdKnUJHKzZXRi7C9EDuzch0jUB8qRgOskWo6+2/g7hbAjQ6438FBkXT4fAnY/S2ECw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee48177a9b8406ec5463d7051c6e084157065123f6fe0a33d3008abb33769a99","last_reissued_at":"2026-07-05T04:41:16.270989Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:41:16.270989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.09048","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:41:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Om/7zzp/zSOLG5lMQIKS+xh0r7xR4miQpUigAoRwqEC5DcB7ShgFqjeO8/ujp8kDA4IvVvWazt02USQJnl9tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:53:45.393480Z"},"content_sha256":"dacb33678bbd6242f3c3797b8e24b8c4f1155097e155329d435d2845a8d1dba1","schema_version":"1.0","event_id":"sha256:dacb33678bbd6242f3c3797b8e24b8c4f1155097e155329d435d2845a8d1dba1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5ZEBO6U3QQDOYVDD24CRY3QIIF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengxu Liu, Huan Yang, Jianlong Fu, Xueming Qian","submitted_at":"2022-07-19T03:37:49Z","abstract_excerpt":"Video frame interpolation (VFI) aims to synthesize an intermediate frame between two consecutive frames. State-of-the-art approaches usually adopt a two-step solution, which includes 1) generating locally-warped pixels by flow-based motion estimations, 2) blending the warped pixels to form a full frame through deep neural synthesis networks. However, due to the inconsistent warping from the two consecutive frames, the warped features for new frames are usually not aligned, which leads to distorted and blurred frames, especially when large and complex motions occur. To solve this issue, in this"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.09048","kind":"arxiv","version":1},"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/2207.09048/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:41:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ifu0nB0Cf+rOESj5emS9LDddtcnY0mD1/HQImBjvuwSKhP2E5bl8eoYO2sAi9cVgoQJAl38d/gsO3MemGZ/TBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:53:45.394012Z"},"content_sha256":"03e15c9cec7c96188554750194d2b8994036381e70e808d09ea49b561edb6d31","schema_version":"1.0","event_id":"sha256:03e15c9cec7c96188554750194d2b8994036381e70e808d09ea49b561edb6d31"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/bundle.json","state_url":"https://pith.science/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/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":"2026-08-22T10:53:45Z","links":{"resolver":"https://pith.science/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF","bundle":"https://pith.science/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/bundle.json","state":"https://pith.science/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5ZEBO6U3QQDOYVDD24CRY3QIIF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5ZEBO6U3QQDOYVDD24CRY3QIIF","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":"3b3fae3ebee6851b5e8c07faba5379e6dd024060813809f97a8cb7635a6e2b99","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-19T03:37:49Z","title_canon_sha256":"579f24a7161410f0bf9b96b748fad8a3e276c3771ee64f1c36264010d8a1f737"},"schema_version":"1.0","source":{"id":"2207.09048","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.09048","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"arxiv_version","alias_value":"2207.09048v1","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.09048","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_12","alias_value":"5ZEBO6U3QQDO","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_16","alias_value":"5ZEBO6U3QQDOYVDD","created_at":"2026-07-05T04:41:16Z"},{"alias_kind":"pith_short_8","alias_value":"5ZEBO6U3","created_at":"2026-07-05T04:41:16Z"}],"graph_snapshots":[{"event_id":"sha256:03e15c9cec7c96188554750194d2b8994036381e70e808d09ea49b561edb6d31","target":"graph","created_at":"2026-07-05T04:41:16Z","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/2207.09048/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video frame interpolation (VFI) aims to synthesize an intermediate frame between two consecutive frames. State-of-the-art approaches usually adopt a two-step solution, which includes 1) generating locally-warped pixels by flow-based motion estimations, 2) blending the warped pixels to form a full frame through deep neural synthesis networks. However, due to the inconsistent warping from the two consecutive frames, the warped features for new frames are usually not aligned, which leads to distorted and blurred frames, especially when large and complex motions occur. To solve this issue, in this","authors_text":"Chengxu Liu, Huan Yang, Jianlong Fu, Xueming Qian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-19T03:37:49Z","title":"TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.09048","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:dacb33678bbd6242f3c3797b8e24b8c4f1155097e155329d435d2845a8d1dba1","target":"record","created_at":"2026-07-05T04:41:16Z","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":"3b3fae3ebee6851b5e8c07faba5379e6dd024060813809f97a8cb7635a6e2b99","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-19T03:37:49Z","title_canon_sha256":"579f24a7161410f0bf9b96b748fad8a3e276c3771ee64f1c36264010d8a1f737"},"schema_version":"1.0","source":{"id":"2207.09048","kind":"arxiv","version":1}},"canonical_sha256":"ee48177a9b8406ec5463d7051c6e084157065123f6fe0a33d3008abb33769a99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee48177a9b8406ec5463d7051c6e084157065123f6fe0a33d3008abb33769a99","first_computed_at":"2026-07-05T04:41:16.270989Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:41:16.270989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fQoIxu+sX6B9ECmZgLn5xdKnUJHKzZXRi7C9EDuzch0jUB8qRgOskWo6+2/g7hbAjQ6438FBkXT4fAnY/S2ECw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:41:16.271551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.09048","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dacb33678bbd6242f3c3797b8e24b8c4f1155097e155329d435d2845a8d1dba1","sha256:03e15c9cec7c96188554750194d2b8994036381e70e808d09ea49b561edb6d31"],"state_sha256":"e38a5c95a6526853009500bba3267a477a40551dae08567093f375a873159fe6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q1j30A0TD89/5mWcBccGKwJ4fgJuougKvvXPP/FhSTLgkTKpH40Hj3EQilJPLKEHTL8xxy5KhpinYkcVSpX8Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:53:45.398109Z","bundle_sha256":"3026b3ad49701be7e1c05c6da2fafa901725414b5e54b8934d25cbaa8b506aa7"}}