{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XPYZ5DITL5PAUYA372ZSNP3VTV","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":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885"},"schema_version":"1.0","source":{"id":"2202.11377","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11377v1","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11377","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"XPYZ5DITL5PA","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"XPYZ5DITL5PAUYA3","created_at":"2026-07-05T03:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"XPYZ5DIT","created_at":"2026-07-05T03:59:31Z"}],"graph_snapshots":[{"event_id":"sha256:91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7","target":"graph","created_at":"2026-07-05T03:59:31Z","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/2202.11377/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inpainting shadowed regions cast by superficial blood vessels in retinal optical coherence tomography (OCT) images is critical for accurate and robust machine analysis and clinical diagnosis. Traditional sequence-based approaches such as propagating neighboring information to gradually fill in the missing regions are cost-effective. But they generate less satisfactory outcomes when dealing with larger missing regions and texture-rich structures. Emerging deep learning-based methods such as encoder-decoder networks have shown promising results in natural image inpainting tasks. However, they ty","authors_text":"Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yaoqi Tang, Yikai Su, Yufan Li, Yu Gan, Yuye Ling","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title":"Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11377","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":"sha256:3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a","target":"record","created_at":"2026-07-05T03:59:31Z","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":"a5cdb639b6808d062a9546aa4181c6cf606e82678d473b2858c48d891472b161","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T09:37:14Z","title_canon_sha256":"262db4ec0881c9582b883fbfae7cb1c1af610003c150631b859ca72823f43885"},"schema_version":"1.0","source":{"id":"2202.11377","kind":"arxiv","version":1}},"canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbf19e8d135f5e0a601bfeb326bf759d7252cf5063d6e879249c1908fbfba969","first_computed_at":"2026-07-05T03:59:31.453285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:31.453285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JKwStOrlRtdqfc58OK1bZSZM17NaSkc7DRbhuqE1Js72NsEOGybWfGxaE4ezPcsl36NWofNUXQ2kGrOLGzc8AA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:31.453790Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11377","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ab08d288f8ec34763ceb76af51daca7e6e3b180339e8971a275a9dbbdc6d94a","sha256:91b1202700d83ddae38733930f987e159ff1a35dfae5ed62e20d037a4c889fb7"],"state_sha256":"74480c5eb1ddf3495ca2e7cac2be4ad34b83dad9ddeebadad714ed287298aaec"}