{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:NBBJLSIIQHMKX67LAMJCFROTRI","short_pith_number":"pith:NBBJLSII","canonical_record":{"source":{"id":"1806.07008","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-19T01:58:09Z","cross_cats_sorted":[],"title_canon_sha256":"783879ad9773b83155879c7a9f12f9d270f8a36a50c4b0cf4bdc010a3a414e5a","abstract_canon_sha256":"25b77cce3461b90dfd965347800f5dca945f44a770d1d95a09854b5f534bb8ba"},"schema_version":"1.0"},"canonical_sha256":"684295c90881d8abfbeb031222c5d38a32463c7c7205df5f211c6dea5f987f00","source":{"kind":"arxiv","id":"1806.07008","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.07008","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"arxiv_version","alias_value":"1806.07008v1","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.07008","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"pith_short_12","alias_value":"NBBJLSIIQHMK","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NBBJLSIIQHMKX67L","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NBBJLSII","created_at":"2026-05-18T12:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:NBBJLSIIQHMKX67LAMJCFROTRI","target":"record","payload":{"canonical_record":{"source":{"id":"1806.07008","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-19T01:58:09Z","cross_cats_sorted":[],"title_canon_sha256":"783879ad9773b83155879c7a9f12f9d270f8a36a50c4b0cf4bdc010a3a414e5a","abstract_canon_sha256":"25b77cce3461b90dfd965347800f5dca945f44a770d1d95a09854b5f534bb8ba"},"schema_version":"1.0"},"canonical_sha256":"684295c90881d8abfbeb031222c5d38a32463c7c7205df5f211c6dea5f987f00","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:57.752642Z","signature_b64":"Xl08Q/UsB7IbUt/aku/WhXaDLKb2ModuyMZY26lwm/YnGnHhXjLT+Hml5BXFX9IFKIM30QU52t/Ama61gz9tCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"684295c90881d8abfbeb031222c5d38a32463c7c7205df5f211c6dea5f987f00","last_reissued_at":"2026-05-18T00:12:57.752034Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:57.752034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.07008","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":"2026-05-18T00:12:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSX/4q60t8mYussSjiIQw6KekVkmXSxPdqvAbCCPITBCqgoiJbvUi6hmoCkEqTXu84f15aBmRnA6DmUHpepYBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T17:35:53.402544Z"},"content_sha256":"fa463fbda77d2f95ab8784a3c550a61d1da432ac1e8f057d74e57bf8b7f262d1","schema_version":"1.0","event_id":"sha256:fa463fbda77d2f95ab8784a3c550a61d1da432ac1e8f057d74e57bf8b7f262d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:NBBJLSIIQHMKX67LAMJCFROTRI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Jiaying Liu, Sifeng Xia, Siwei Ma, Wenhan Yang, Yueyu Hu","submitted_at":"2018-06-19T01:58:09Z","abstract_excerpt":"Motion compensation is an important technology in video coding to remove the temporal redundancy between coded video frames. In motion compensation, fractional interpolation is used to obtain more reference blocks at sub-pixel level. Existing video coding standards commonly use fixed interpolation filters for fractional interpolation, which are not efficient enough to handle diverse video signals well. In this paper, we design a group variational transformation convolutional neural network (GVTCNN) to improve the fractional interpolation performance of the luma component in motion compensation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.07008","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":"2026-05-18T00:12:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CRe1A+cPBzxDbXt9Z5FcN0HnxtoKnd4IT9YsKNQXmc59MrgMG+OrIAS0exluSXbl/qhIt0Dij+TZX1N1sWqOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T17:35:53.403259Z"},"content_sha256":"1568a9ec994bf486788541e147fa5cc64eacd36fb90694943c6bea75ba42b78d","schema_version":"1.0","event_id":"sha256:1568a9ec994bf486788541e147fa5cc64eacd36fb90694943c6bea75ba42b78d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBBJLSIIQHMKX67LAMJCFROTRI/bundle.json","state_url":"https://pith.science/pith/NBBJLSIIQHMKX67LAMJCFROTRI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBBJLSIIQHMKX67LAMJCFROTRI/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":"2026-06-09T17:35:53Z","links":{"resolver":"https://pith.science/pith/NBBJLSIIQHMKX67LAMJCFROTRI","bundle":"https://pith.science/pith/NBBJLSIIQHMKX67LAMJCFROTRI/bundle.json","state":"https://pith.science/pith/NBBJLSIIQHMKX67LAMJCFROTRI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBBJLSIIQHMKX67LAMJCFROTRI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NBBJLSIIQHMKX67LAMJCFROTRI","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":"25b77cce3461b90dfd965347800f5dca945f44a770d1d95a09854b5f534bb8ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-19T01:58:09Z","title_canon_sha256":"783879ad9773b83155879c7a9f12f9d270f8a36a50c4b0cf4bdc010a3a414e5a"},"schema_version":"1.0","source":{"id":"1806.07008","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.07008","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"arxiv_version","alias_value":"1806.07008v1","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.07008","created_at":"2026-05-18T00:12:57Z"},{"alias_kind":"pith_short_12","alias_value":"NBBJLSIIQHMK","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NBBJLSIIQHMKX67L","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NBBJLSII","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:1568a9ec994bf486788541e147fa5cc64eacd36fb90694943c6bea75ba42b78d","target":"graph","created_at":"2026-05-18T00:12:57Z","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":"Motion compensation is an important technology in video coding to remove the temporal redundancy between coded video frames. In motion compensation, fractional interpolation is used to obtain more reference blocks at sub-pixel level. Existing video coding standards commonly use fixed interpolation filters for fractional interpolation, which are not efficient enough to handle diverse video signals well. In this paper, we design a group variational transformation convolutional neural network (GVTCNN) to improve the fractional interpolation performance of the luma component in motion compensation","authors_text":"Jiaying Liu, Sifeng Xia, Siwei Ma, Wenhan Yang, Yueyu Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-19T01:58:09Z","title":"A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.07008","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:fa463fbda77d2f95ab8784a3c550a61d1da432ac1e8f057d74e57bf8b7f262d1","target":"record","created_at":"2026-05-18T00:12:57Z","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":"25b77cce3461b90dfd965347800f5dca945f44a770d1d95a09854b5f534bb8ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-19T01:58:09Z","title_canon_sha256":"783879ad9773b83155879c7a9f12f9d270f8a36a50c4b0cf4bdc010a3a414e5a"},"schema_version":"1.0","source":{"id":"1806.07008","kind":"arxiv","version":1}},"canonical_sha256":"684295c90881d8abfbeb031222c5d38a32463c7c7205df5f211c6dea5f987f00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"684295c90881d8abfbeb031222c5d38a32463c7c7205df5f211c6dea5f987f00","first_computed_at":"2026-05-18T00:12:57.752034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:57.752034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xl08Q/UsB7IbUt/aku/WhXaDLKb2ModuyMZY26lwm/YnGnHhXjLT+Hml5BXFX9IFKIM30QU52t/Ama61gz9tCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:57.752642Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.07008","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa463fbda77d2f95ab8784a3c550a61d1da432ac1e8f057d74e57bf8b7f262d1","sha256:1568a9ec994bf486788541e147fa5cc64eacd36fb90694943c6bea75ba42b78d"],"state_sha256":"423a44f8c5973c7ce9829f2738d183313b3bb48d7609966c2c1d28d67eff804e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t/RBbPJyLvsXK4idUzNSaNjq6TYr++rlfZAC/wxWClbJ9yuL5MKFDaCQtqKM9QVx75CPqtVDDgCiPpvfSE+TAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T17:35:53.407673Z","bundle_sha256":"84498bf6d64324d0e1a8fb408029ef345209a595888214d2e7ea55007b93c9e6"}}