{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UXYKH2RCTWKMY5GVZRQCPD5RZY","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":"ce24b2fa4a7ba03fe396c817f803b5de0c36498f2e5154650658b1604ceba502","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-29T13:28:34Z","title_canon_sha256":"11c644de4a50633087a793e5eac391a57c8d3bb9b3b564eefad2cb3d1a0ef913"},"schema_version":"1.0","source":{"id":"2209.14770","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14770","created_at":"2026-07-05T10:05:06Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14770v3","created_at":"2026-07-05T10:05:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14770","created_at":"2026-07-05T10:05:06Z"},{"alias_kind":"pith_short_12","alias_value":"UXYKH2RCTWKM","created_at":"2026-07-05T10:05:06Z"},{"alias_kind":"pith_short_16","alias_value":"UXYKH2RCTWKMY5GV","created_at":"2026-07-05T10:05:06Z"},{"alias_kind":"pith_short_8","alias_value":"UXYKH2RC","created_at":"2026-07-05T10:05:06Z"}],"graph_snapshots":[{"event_id":"sha256:7cda8d8ea6cdd872ede94debc7f46b54e5ded940b9fe936ece73a58aa9c1ee3a","target":"graph","created_at":"2026-07-05T10:05:06Z","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/2209.14770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Restoration of poor quality images with a blended set of artifacts plays a vital role for a reliable diagnosis. Existing studies have focused on specific restoration problems such as image deblurring, denoising, and exposure correction where there is usually a strong assumption on the artifact type and severity. As a pioneer study in blind X-ray restoration, we propose a joint model for generic image restoration and classification: Restore-to-Classify Generative Adversarial Networks (R2C-GANs). Such a jointly optimized model keeps any disease intact after the restoration. Therefore, this will ","authors_text":"Aysen Degerli, Mete Ahishali, Moncef Gabbouj, Rashid Mazhar, Serkan Kiranyaz, Tahir Hamid","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-29T13:28:34Z","title":"R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14770","kind":"arxiv","version":3},"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":"sha256:68002c809df50cecb534ddbdc5097c25457d82dfb0f3bdab4d187a189f351708","target":"record","created_at":"2026-07-05T10:05:06Z","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":"ce24b2fa4a7ba03fe396c817f803b5de0c36498f2e5154650658b1604ceba502","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-29T13:28:34Z","title_canon_sha256":"11c644de4a50633087a793e5eac391a57c8d3bb9b3b564eefad2cb3d1a0ef913"},"schema_version":"1.0","source":{"id":"2209.14770","kind":"arxiv","version":3}},"canonical_sha256":"a5f0a3ea229d94cc74d5cc60278fb1ce1107e99636129354b5d05eb2e6ea46de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5f0a3ea229d94cc74d5cc60278fb1ce1107e99636129354b5d05eb2e6ea46de","first_computed_at":"2026-07-05T10:05:06.048411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:06.048411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o3rTeadU4e5pms/Gmp/Y2Cwp8gkgXoNfDNVCMz5nm1NKnKSfH5YiLgvDcKq7acacs7NDwTqusJ5qY4ZzeC1tAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:06.048768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14770","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:68002c809df50cecb534ddbdc5097c25457d82dfb0f3bdab4d187a189f351708","sha256:7cda8d8ea6cdd872ede94debc7f46b54e5ded940b9fe936ece73a58aa9c1ee3a"],"state_sha256":"2cacbbdd378dc561ef89179383b3f8ebcac9f7ff4c86836d99fa1be0bd433723"}