{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:E7LS75IDMTDFHOD4JIAWYB6PRX","short_pith_number":"pith:E7LS75ID","canonical_record":{"source":{"id":"2012.03663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-26T03:16:48Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"735792de86e4109618dc06da8e24a10ea7f7b24a83d72b1bab385d56b63d94ef","abstract_canon_sha256":"685097e973bf3b66031b32489c508c67ddde6a352045bcbf5de65a5b06256468"},"schema_version":"1.0"},"canonical_sha256":"27d72ff50364c653b87c4a016c07cf8ddc8d67834a3428a01e97e563dca5df76","source":{"kind":"arxiv","id":"2012.03663","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.03663","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"arxiv_version","alias_value":"2012.03663v1","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.03663","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_12","alias_value":"E7LS75IDMTDF","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_16","alias_value":"E7LS75IDMTDFHOD4","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_8","alias_value":"E7LS75ID","created_at":"2026-07-05T02:25:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:E7LS75IDMTDFHOD4JIAWYB6PRX","target":"record","payload":{"canonical_record":{"source":{"id":"2012.03663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-26T03:16:48Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"735792de86e4109618dc06da8e24a10ea7f7b24a83d72b1bab385d56b63d94ef","abstract_canon_sha256":"685097e973bf3b66031b32489c508c67ddde6a352045bcbf5de65a5b06256468"},"schema_version":"1.0"},"canonical_sha256":"27d72ff50364c653b87c4a016c07cf8ddc8d67834a3428a01e97e563dca5df76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:25:31.418571Z","signature_b64":"6Ms6SkpVwlVuuVrG+yn8W5UMMgV67OoWEPPPbsV08v8ZtCHmtQYAc/oyh2AWjMg4DMNlcFYdNbNkStkTyYjCDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27d72ff50364c653b87c4a016c07cf8ddc8d67834a3428a01e97e563dca5df76","last_reissued_at":"2026-07-05T02:25:31.418073Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:25:31.418073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.03663","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":"2026-07-05T02:25:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lzbSiMzZ3G5qTlHwR33MqZptag2I4Nmv+nhmWcrZagH5hn8+OrVVbGuOTao+cebX0936eDSxnnmKYNAG1hfVDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:40:14.335733Z"},"content_sha256":"c30af4fa0c17a14f10ada79498344d44de79e432d1d2d1889a68979ab548cd79","schema_version":"1.0","event_id":"sha256:c30af4fa0c17a14f10ada79498344d44de79e432d1d2d1889a68979ab548cd79"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:E7LS75IDMTDFHOD4JIAWYB6PRX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aoxiao Zhong, Bernardo Bizzo, Byung Seok Kim, Dufan Wu, Hui Ren, Ittai Dayan, Jung Gil Park, Kyungsang Kim, Mannudeep K. Kalra, Min Kyu Kang, Ning Guo, Nir Neumark, Quanzheng Li, Soo Young Park, Varun Buch, Won Young Tak, Woo Jin Chung, Xiang Li, Younggon Kim, Yu Rim Lee","submitted_at":"2020-11-26T03:16:48Z","abstract_excerpt":"In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public health crisis of the novel coronavirus disease 2019 (COVID-19) pandemic. Chest radiograph (CXR) has been playing a crucial role in COVID-19 patient triaging, diagnosing and monitoring, particularly in the United States. Considering the mixed and unspecific signals in CXR, an image retrieval model of CXR that provides both similar images and associated clinical information can be more clinically meaningful than a dir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.03663","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.03663/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":"2026-07-05T02:25:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0kHNcJBI0YFLymUl3A/dFEFYQkON6Tx8RGvPxKJExsQMBNDHv+rL+6KllM3pYp8x/HiAOemOIFdRotYdR6oDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:40:14.336395Z"},"content_sha256":"e239930996b7360589152bfed44f9af7d26ce0f0a9842ac49a518ec2c9c569ce","schema_version":"1.0","event_id":"sha256:e239930996b7360589152bfed44f9af7d26ce0f0a9842ac49a518ec2c9c569ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/bundle.json","state_url":"https://pith.science/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/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":"2026-07-09T05:40:14Z","links":{"resolver":"https://pith.science/pith/E7LS75IDMTDFHOD4JIAWYB6PRX","bundle":"https://pith.science/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/bundle.json","state":"https://pith.science/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7LS75IDMTDFHOD4JIAWYB6PRX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:E7LS75IDMTDFHOD4JIAWYB6PRX","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":"685097e973bf3b66031b32489c508c67ddde6a352045bcbf5de65a5b06256468","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-26T03:16:48Z","title_canon_sha256":"735792de86e4109618dc06da8e24a10ea7f7b24a83d72b1bab385d56b63d94ef"},"schema_version":"1.0","source":{"id":"2012.03663","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.03663","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"arxiv_version","alias_value":"2012.03663v1","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.03663","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_12","alias_value":"E7LS75IDMTDF","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_16","alias_value":"E7LS75IDMTDFHOD4","created_at":"2026-07-05T02:25:31Z"},{"alias_kind":"pith_short_8","alias_value":"E7LS75ID","created_at":"2026-07-05T02:25:31Z"}],"graph_snapshots":[{"event_id":"sha256:e239930996b7360589152bfed44f9af7d26ce0f0a9842ac49a518ec2c9c569ce","target":"graph","created_at":"2026-07-05T02:25:31Z","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/2012.03663/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, deep learning-based image analysis methods have been widely applied in computer-aided detection, diagnosis and prognosis, and has shown its value during the public health crisis of the novel coronavirus disease 2019 (COVID-19) pandemic. Chest radiograph (CXR) has been playing a crucial role in COVID-19 patient triaging, diagnosing and monitoring, particularly in the United States. Considering the mixed and unspecific signals in CXR, an image retrieval model of CXR that provides both similar images and associated clinical information can be more clinically meaningful than a dir","authors_text":"Aoxiao Zhong, Bernardo Bizzo, Byung Seok Kim, Dufan Wu, Hui Ren, Ittai Dayan, Jung Gil Park, Kyungsang Kim, Mannudeep K. Kalra, Min Kyu Kang, Ning Guo, Nir Neumark, Quanzheng Li, Soo Young Park, Varun Buch, Won Young Tak, Woo Jin Chung, Xiang Li, Younggon Kim, Yu Rim Lee","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-26T03:16:48Z","title":"Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.03663","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:c30af4fa0c17a14f10ada79498344d44de79e432d1d2d1889a68979ab548cd79","target":"record","created_at":"2026-07-05T02:25:31Z","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":"685097e973bf3b66031b32489c508c67ddde6a352045bcbf5de65a5b06256468","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-11-26T03:16:48Z","title_canon_sha256":"735792de86e4109618dc06da8e24a10ea7f7b24a83d72b1bab385d56b63d94ef"},"schema_version":"1.0","source":{"id":"2012.03663","kind":"arxiv","version":1}},"canonical_sha256":"27d72ff50364c653b87c4a016c07cf8ddc8d67834a3428a01e97e563dca5df76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27d72ff50364c653b87c4a016c07cf8ddc8d67834a3428a01e97e563dca5df76","first_computed_at":"2026-07-05T02:25:31.418073Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:25:31.418073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Ms6SkpVwlVuuVrG+yn8W5UMMgV67OoWEPPPbsV08v8ZtCHmtQYAc/oyh2AWjMg4DMNlcFYdNbNkStkTyYjCDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:25:31.418571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.03663","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c30af4fa0c17a14f10ada79498344d44de79e432d1d2d1889a68979ab548cd79","sha256:e239930996b7360589152bfed44f9af7d26ce0f0a9842ac49a518ec2c9c569ce"],"state_sha256":"5fcc873b9729c360915d6ddde98d4066a8fe7fdb97d0c8f4b81f046b2a0436f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jZuMnmkqLTSq1NXCD7pFtB4vWl1xmSPwaY//iKDOemuYuepEGEyY0FSjEiQfT25VhBYyyt2jp1kVz9vbg99cCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:40:14.339659Z","bundle_sha256":"669aa30c090314d475b98badf31951262ac0da0c20a40036a05a21d8b84c6cf9"}}