{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:UXYKH2RCTWKMY5GVZRQCPD5RZY","short_pith_number":"pith:UXYKH2RC","canonical_record":{"source":{"id":"2209.14770","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-29T13:28:34Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"11c644de4a50633087a793e5eac391a57c8d3bb9b3b564eefad2cb3d1a0ef913","abstract_canon_sha256":"ce24b2fa4a7ba03fe396c817f803b5de0c36498f2e5154650658b1604ceba502"},"schema_version":"1.0"},"canonical_sha256":"a5f0a3ea229d94cc74d5cc60278fb1ce1107e99636129354b5d05eb2e6ea46de","source":{"kind":"arxiv","id":"2209.14770","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:UXYKH2RCTWKMY5GVZRQCPD5RZY","target":"record","payload":{"canonical_record":{"source":{"id":"2209.14770","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-29T13:28:34Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"11c644de4a50633087a793e5eac391a57c8d3bb9b3b564eefad2cb3d1a0ef913","abstract_canon_sha256":"ce24b2fa4a7ba03fe396c817f803b5de0c36498f2e5154650658b1604ceba502"},"schema_version":"1.0"},"canonical_sha256":"a5f0a3ea229d94cc74d5cc60278fb1ce1107e99636129354b5d05eb2e6ea46de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:06.048768Z","signature_b64":"o3rTeadU4e5pms/Gmp/Y2Cwp8gkgXoNfDNVCMz5nm1NKnKSfH5YiLgvDcKq7acacs7NDwTqusJ5qY4ZzeC1tAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5f0a3ea229d94cc74d5cc60278fb1ce1107e99636129354b5d05eb2e6ea46de","last_reissued_at":"2026-07-05T10:05:06.048411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:06.048411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.14770","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:05:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"akv5C5fv3wMdh+EHDsGmzzHmrm7HmwNe1iBISiDXhaeCnEa9+Lgukh13u80n3hwPyunMoKa7mWqssS5y+XjWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:30:25.087253Z"},"content_sha256":"68002c809df50cecb534ddbdc5097c25457d82dfb0f3bdab4d187a189f351708","schema_version":"1.0","event_id":"sha256:68002c809df50cecb534ddbdc5097c25457d82dfb0f3bdab4d187a189f351708"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:UXYKH2RCTWKMY5GVZRQCPD5RZY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Aysen Degerli, Mete Ahishali, Moncef Gabbouj, Rashid Mazhar, Serkan Kiranyaz, Tahir Hamid","submitted_at":"2022-09-29T13:28:34Z","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 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14770","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2209.14770/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T10:05:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZIypIbjQkrjbYGMImtbjVu8eY5pvNAcLkbYIUtYvfmwD+lWxju+ASofO8adBz0L7w/ILlHwUbyTan3S6lilTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:30:25.087896Z"},"content_sha256":"7cda8d8ea6cdd872ede94debc7f46b54e5ded940b9fe936ece73a58aa9c1ee3a","schema_version":"1.0","event_id":"sha256:7cda8d8ea6cdd872ede94debc7f46b54e5ded940b9fe936ece73a58aa9c1ee3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/bundle.json","state_url":"https://pith.science/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/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":"2026-07-07T06:30:25Z","links":{"resolver":"https://pith.science/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY","bundle":"https://pith.science/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/bundle.json","state":"https://pith.science/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UXYKH2RCTWKMY5GVZRQCPD5RZY/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wWwm3Xc6pHoqQXdJRruaQSadufDd0LumqQwvNfmw6OqBbTMMuS2ssUFOWXQlJvfJTrSmoM4h6tphQ9shMveqBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:30:25.091013Z","bundle_sha256":"622ac526f006c32979df6f952b28019878557801a92f7f7c4b14e27c24504a62"}}