{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QEUIBWQSBW7PC7BCAQSF2RFW2N","short_pith_number":"pith:QEUIBWQS","canonical_record":{"source":{"id":"1708.01692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-05T00:18:03Z","cross_cats_sorted":[],"title_canon_sha256":"4010c1461673d03714c214edcc698aea913eed5f4bfa4ab96903c6dc80f5f500","abstract_canon_sha256":"83a6798e06af9747228edf2904ff1896b5ed26d970fe4df4222ce9f74df81bc5"},"schema_version":"1.0"},"canonical_sha256":"812880da120dbef17c2204245d44b6d35622a886d1d0abd06c44fe4139f08350","source":{"kind":"arxiv","id":"1708.01692","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01692","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01692v1","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01692","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"QEUIBWQSBW7P","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"QEUIBWQSBW7PC7BC","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"QEUIBWQS","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QEUIBWQSBW7PC7BCAQSF2RFW2N","target":"record","payload":{"canonical_record":{"source":{"id":"1708.01692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-05T00:18:03Z","cross_cats_sorted":[],"title_canon_sha256":"4010c1461673d03714c214edcc698aea913eed5f4bfa4ab96903c6dc80f5f500","abstract_canon_sha256":"83a6798e06af9747228edf2904ff1896b5ed26d970fe4df4222ce9f74df81bc5"},"schema_version":"1.0"},"canonical_sha256":"812880da120dbef17c2204245d44b6d35622a886d1d0abd06c44fe4139f08350","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:35.172277Z","signature_b64":"JpDY6ZHxCiZHxW5yIVaS9b3HVmHikbXLxh4DSIPI//G1IuWjrImSuFYYtFQMFdUQKiQV5yLZen6B2Jyti35JDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"812880da120dbef17c2204245d44b6d35622a886d1d0abd06c44fe4139f08350","last_reissued_at":"2026-05-18T00:38:35.171662Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:35.171662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.01692","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":"2026-05-18T00:38:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bUgSa33teA33XN8HvQX56bTcoVLRZId47Q0cN+enOmI9X9rYWnq3l1cw4qOhwjRuNUiuDOA0LMu100lCpCVmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:22:18.678936Z"},"content_sha256":"912055af001a453b24112acbb36c42259ce4387217ee1cf3172f6290174c9a0f","schema_version":"1.0","event_id":"sha256:912055af001a453b24112acbb36c42259ce4387217ee1cf3172f6290174c9a0f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QEUIBWQSBW7PC7BCAQSF2RFW2N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Frame Interpolation via Adaptive Separable Convolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Liu, Long Mai, Simon Niklaus","submitted_at":"2017-08-05T00:18:03Z","abstract_excerpt":"Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge these two steps into a single convolution process by convolving input frames with spatially adaptive kernels that account for motion and re-sampling simultaneously. These methods require large kernels to handle large motion, which limits the number of pixels whose kernels can be estimated at once due to the large memory demand. To address this problem, this paper formulates frame interpolation as local separable convolut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01692","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":""},"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":"2026-05-18T00:38:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DeIGfMSLAs1fGPEHw/TxHSv1BQL3TKgdKkQo4XmJKkVB70LLqg0qfZWdICKuEjLXP6J+naZjMjTGxAycJe3+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T19:22:18.679577Z"},"content_sha256":"f6d7fbb24c89270d996241a4be304e46c4bff6723b150164bfb62358cc495fee","schema_version":"1.0","event_id":"sha256:f6d7fbb24c89270d996241a4be304e46c4bff6723b150164bfb62358cc495fee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/bundle.json","state_url":"https://pith.science/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/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":"2026-05-25T19:22:18Z","links":{"resolver":"https://pith.science/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N","bundle":"https://pith.science/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/bundle.json","state":"https://pith.science/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QEUIBWQSBW7PC7BCAQSF2RFW2N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QEUIBWQSBW7PC7BCAQSF2RFW2N","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":"83a6798e06af9747228edf2904ff1896b5ed26d970fe4df4222ce9f74df81bc5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-05T00:18:03Z","title_canon_sha256":"4010c1461673d03714c214edcc698aea913eed5f4bfa4ab96903c6dc80f5f500"},"schema_version":"1.0","source":{"id":"1708.01692","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01692","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01692v1","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01692","created_at":"2026-05-18T00:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"QEUIBWQSBW7P","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"QEUIBWQSBW7PC7BC","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"QEUIBWQS","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:f6d7fbb24c89270d996241a4be304e46c4bff6723b150164bfb62358cc495fee","target":"graph","created_at":"2026-05-18T00:38:35Z","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":"Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge these two steps into a single convolution process by convolving input frames with spatially adaptive kernels that account for motion and re-sampling simultaneously. These methods require large kernels to handle large motion, which limits the number of pixels whose kernels can be estimated at once due to the large memory demand. To address this problem, this paper formulates frame interpolation as local separable convolut","authors_text":"Feng Liu, Long Mai, Simon Niklaus","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-05T00:18:03Z","title":"Video Frame Interpolation via Adaptive Separable Convolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01692","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":"sha256:912055af001a453b24112acbb36c42259ce4387217ee1cf3172f6290174c9a0f","target":"record","created_at":"2026-05-18T00:38:35Z","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":"83a6798e06af9747228edf2904ff1896b5ed26d970fe4df4222ce9f74df81bc5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-05T00:18:03Z","title_canon_sha256":"4010c1461673d03714c214edcc698aea913eed5f4bfa4ab96903c6dc80f5f500"},"schema_version":"1.0","source":{"id":"1708.01692","kind":"arxiv","version":1}},"canonical_sha256":"812880da120dbef17c2204245d44b6d35622a886d1d0abd06c44fe4139f08350","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"812880da120dbef17c2204245d44b6d35622a886d1d0abd06c44fe4139f08350","first_computed_at":"2026-05-18T00:38:35.171662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:35.171662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JpDY6ZHxCiZHxW5yIVaS9b3HVmHikbXLxh4DSIPI//G1IuWjrImSuFYYtFQMFdUQKiQV5yLZen6B2Jyti35JDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:35.172277Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.01692","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:912055af001a453b24112acbb36c42259ce4387217ee1cf3172f6290174c9a0f","sha256:f6d7fbb24c89270d996241a4be304e46c4bff6723b150164bfb62358cc495fee"],"state_sha256":"ea7854b47ff37d209ff477ba6948736a523e1713bef8a3fdff6d77eb4d718492"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iSz+S4XiS90em7w5N/t9oWY4isF//3lDZ2csSMjKdT1dOwmhzY3Ufnorgu4w6Rv4ycUg6i7CAR7MqnRRSJ83BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T19:22:18.682811Z","bundle_sha256":"fc5554078d60755ade86a85dd3169b5ca575bd49e3423ef973fe20086e0abf4f"}}