{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SZLSAQPHS4RFILPBTB3RWI7SP4","short_pith_number":"pith:SZLSAQPH","canonical_record":{"source":{"id":"1804.06633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T10:26:52Z","cross_cats_sorted":[],"title_canon_sha256":"756dd05dd3e42d17c39a0788865b0a3bb55cb0b88d69e54a1a06ff5b60fdbc26","abstract_canon_sha256":"e7d85060888e0c7524287556b7f6462b85e1fa7befbf2c1f3324851761cd727a"},"schema_version":"1.0"},"canonical_sha256":"96572041e79722542de198771b23f27f1009d27db37a35bc3cc375fe182af997","source":{"kind":"arxiv","id":"1804.06633","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06633","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06633v1","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06633","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"pith_short_12","alias_value":"SZLSAQPHS4RF","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SZLSAQPHS4RFILPB","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SZLSAQPH","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SZLSAQPHS4RFILPBTB3RWI7SP4","target":"record","payload":{"canonical_record":{"source":{"id":"1804.06633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T10:26:52Z","cross_cats_sorted":[],"title_canon_sha256":"756dd05dd3e42d17c39a0788865b0a3bb55cb0b88d69e54a1a06ff5b60fdbc26","abstract_canon_sha256":"e7d85060888e0c7524287556b7f6462b85e1fa7befbf2c1f3324851761cd727a"},"schema_version":"1.0"},"canonical_sha256":"96572041e79722542de198771b23f27f1009d27db37a35bc3cc375fe182af997","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:55.410803Z","signature_b64":"haBD5+QZlcS3t2+yrahD+AYco7nUPy0bABwq8QNrxhBxjEQS9/ImqXLedRzmdF94tySDjfvIPfjV81SYKnrCCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96572041e79722542de198771b23f27f1009d27db37a35bc3cc375fe182af997","last_reissued_at":"2026-05-18T00:16:55.410104Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:55.410104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.06633","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":"2026-05-18T00:16:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"68IuK+KJch/qwK1UV90J2OKLga5JCaqddsjLroOpWE78aPXN1iBxWnCWACeTzPdznz50LlFupHGL6Gf29qpPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:47:03.406592Z"},"content_sha256":"ba27dabc861029bbcfa62688ef89157c8e52957637e71df8355d70bae549be8a","schema_version":"1.0","event_id":"sha256:ba27dabc861029bbcfa62688ef89157c8e52957637e71df8355d70bae549be8a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SZLSAQPHS4RFILPBTB3RWI7SP4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Variational Disparity Estimation Framework for Plenoptic Image","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sven Simon, Trung-Hieu Tran, Zhe Wang","submitted_at":"2018-04-18T10:26:52Z","abstract_excerpt":"This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit treatments for different color channels. A warping strategy is embedded in our framework for tackling the large displacement problem. We also show that by applying a simple regularization term and a guided median filtering, the accuracy of displacem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06633","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":"2026-05-18T00:16:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mo0+k6ULEe6EdMY8ZQ5nDopRdEb3bmE8CYERPOi6DeyNlaEZIwVJlYJ2Tr3oGzjzC7XDba2Fjs+Gn4IBWa9kDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:47:03.407694Z"},"content_sha256":"d262b3121755296505f92f1c4daeaf22a0429a8d755d86dc4837bccb1f1d8ae9","schema_version":"1.0","event_id":"sha256:d262b3121755296505f92f1c4daeaf22a0429a8d755d86dc4837bccb1f1d8ae9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/bundle.json","state_url":"https://pith.science/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/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":"2026-08-21T03:47:03Z","links":{"resolver":"https://pith.science/pith/SZLSAQPHS4RFILPBTB3RWI7SP4","bundle":"https://pith.science/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/bundle.json","state":"https://pith.science/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SZLSAQPHS4RFILPBTB3RWI7SP4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SZLSAQPHS4RFILPBTB3RWI7SP4","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":"e7d85060888e0c7524287556b7f6462b85e1fa7befbf2c1f3324851761cd727a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T10:26:52Z","title_canon_sha256":"756dd05dd3e42d17c39a0788865b0a3bb55cb0b88d69e54a1a06ff5b60fdbc26"},"schema_version":"1.0","source":{"id":"1804.06633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06633","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06633v1","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06633","created_at":"2026-05-18T00:16:55Z"},{"alias_kind":"pith_short_12","alias_value":"SZLSAQPHS4RF","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SZLSAQPHS4RFILPB","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SZLSAQPH","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:d262b3121755296505f92f1c4daeaf22a0429a8d755d86dc4837bccb1f1d8ae9","target":"graph","created_at":"2026-05-18T00:16:55Z","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":"This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit treatments for different color channels. A warping strategy is embedded in our framework for tackling the large displacement problem. We also show that by applying a simple regularization term and a guided median filtering, the accuracy of displacem","authors_text":"Sven Simon, Trung-Hieu Tran, Zhe Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T10:26:52Z","title":"Variational Disparity Estimation Framework for Plenoptic Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06633","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:ba27dabc861029bbcfa62688ef89157c8e52957637e71df8355d70bae549be8a","target":"record","created_at":"2026-05-18T00:16:55Z","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":"e7d85060888e0c7524287556b7f6462b85e1fa7befbf2c1f3324851761cd727a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T10:26:52Z","title_canon_sha256":"756dd05dd3e42d17c39a0788865b0a3bb55cb0b88d69e54a1a06ff5b60fdbc26"},"schema_version":"1.0","source":{"id":"1804.06633","kind":"arxiv","version":1}},"canonical_sha256":"96572041e79722542de198771b23f27f1009d27db37a35bc3cc375fe182af997","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96572041e79722542de198771b23f27f1009d27db37a35bc3cc375fe182af997","first_computed_at":"2026-05-18T00:16:55.410104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:55.410104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"haBD5+QZlcS3t2+yrahD+AYco7nUPy0bABwq8QNrxhBxjEQS9/ImqXLedRzmdF94tySDjfvIPfjV81SYKnrCCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:55.410803Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.06633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba27dabc861029bbcfa62688ef89157c8e52957637e71df8355d70bae549be8a","sha256:d262b3121755296505f92f1c4daeaf22a0429a8d755d86dc4837bccb1f1d8ae9"],"state_sha256":"5200a5e1e0b02ee9bb05f5ff3c14bdea0cfcec6a3bf2fe21d28618fab95ea658"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bQ/i8xQy4qv8EJ38WzzJkOFBBajgtxKVPlhECuUvIMwEFOplFvYjOlFJQwalqxA5a0qIx1H08dAeuRh22iPrAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:47:03.412726Z","bundle_sha256":"96eb42942da2dcaca6e0cb05d8c0efe6f4d954427ebfbc1880310eae96b69a73"}}