{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ASVTMERDJFY6363RGAU5ITANAE","short_pith_number":"pith:ASVTMERD","canonical_record":{"source":{"id":"2009.12698","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-26T22:20:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"0a14b69c6453d681289364eada553c09c99f049fb3f2d5cd5782509f0c1ded0c","abstract_canon_sha256":"58ab40b6e273636b7bb01c0b8110196f78c1736fb5fc90524f0910a43972028f"},"schema_version":"1.0"},"canonical_sha256":"04ab3612234971edfb713029d44c0d012cda91fcc5e1b7e5fda50cd392475504","source":{"kind":"arxiv","id":"2009.12698","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.12698","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2009.12698v2","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.12698","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"ASVTMERDJFY6","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"ASVTMERDJFY6363R","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"ASVTMERD","created_at":"2026-07-05T10:04:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ASVTMERDJFY6363RGAU5ITANAE","target":"record","payload":{"canonical_record":{"source":{"id":"2009.12698","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-26T22:20:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"0a14b69c6453d681289364eada553c09c99f049fb3f2d5cd5782509f0c1ded0c","abstract_canon_sha256":"58ab40b6e273636b7bb01c0b8110196f78c1736fb5fc90524f0910a43972028f"},"schema_version":"1.0"},"canonical_sha256":"04ab3612234971edfb713029d44c0d012cda91fcc5e1b7e5fda50cd392475504","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:04:54.382180Z","signature_b64":"4nOwJv19UnZR6GkbPLjQYXEbRDDk+hmy7bSbfCw28qIIdpPD2uggEjQXsuHstGK6lXBm2ovP8pHmTf/wmPSNDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04ab3612234971edfb713029d44c0d012cda91fcc5e1b7e5fda50cd392475504","last_reissued_at":"2026-07-05T10:04:54.381629Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:04:54.381629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.12698","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xJSQMKsU6qeTYuLk9806V4+RWPZ4ou2XnXjdfQQkkOaBz8uN++0dbhkbOKYyafP6Hwl9Hrqrb+qsduVq8TX2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:34:49.023467Z"},"content_sha256":"ae3e2a0d6446aa6b6440d46628c89005e5dcd0cf171100769c79620a589ab750","schema_version":"1.0","event_id":"sha256:ae3e2a0d6446aa6b6440d46628c89005e5dcd0cf171100769c79620a589ab750"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ASVTMERDJFY6363RGAU5ITANAE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"COVID-19 Infection Map Generation and Detection from Chest X-Ray Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Aysen Degerli, Khalid Hameed, Mehmet Yamac, Mete Ahishali, Moncef Gabbouj, Muhammad E. H. Chowdhury, Rashid Mazhar, Serkan Kiranyaz, Tahir Hamid","submitted_at":"2020-09-26T22:20:05Z","abstract_excerpt":"Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques for COVID-19 diagnosis. However, they have used very limited chest X-ray (CXR) image repositories for evaluation with a small number, a few hundreds, of COVID-19 samples. Moreover, these methods can neither localize nor grade the severity of COVID-19 infection. For this purpose, recent studies proposed to explore the activation maps of deep networks. However, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.12698","kind":"arxiv","version":2},"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/2009.12698/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":"2026-07-05T10:04:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x5kv68nTYTai3wUGEwA4tHMsVUtYJ7b0O1CMnjxHvv3yjRJdlq2xVzOOmLo1F5k8LQBfKmawk7GenWyb4vaUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:34:49.023842Z"},"content_sha256":"d2cd9ecd7ace38fc1d209c7e8e6884a06c71fa113d44af6bf0e547da6d25c70d","schema_version":"1.0","event_id":"sha256:d2cd9ecd7ace38fc1d209c7e8e6884a06c71fa113d44af6bf0e547da6d25c70d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ASVTMERDJFY6363RGAU5ITANAE/bundle.json","state_url":"https://pith.science/pith/ASVTMERDJFY6363RGAU5ITANAE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ASVTMERDJFY6363RGAU5ITANAE/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":"2026-07-06T19:34:49Z","links":{"resolver":"https://pith.science/pith/ASVTMERDJFY6363RGAU5ITANAE","bundle":"https://pith.science/pith/ASVTMERDJFY6363RGAU5ITANAE/bundle.json","state":"https://pith.science/pith/ASVTMERDJFY6363RGAU5ITANAE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ASVTMERDJFY6363RGAU5ITANAE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ASVTMERDJFY6363RGAU5ITANAE","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":"58ab40b6e273636b7bb01c0b8110196f78c1736fb5fc90524f0910a43972028f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-26T22:20:05Z","title_canon_sha256":"0a14b69c6453d681289364eada553c09c99f049fb3f2d5cd5782509f0c1ded0c"},"schema_version":"1.0","source":{"id":"2009.12698","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.12698","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"2009.12698v2","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.12698","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"ASVTMERDJFY6","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_16","alias_value":"ASVTMERDJFY6363R","created_at":"2026-07-05T10:04:54Z"},{"alias_kind":"pith_short_8","alias_value":"ASVTMERD","created_at":"2026-07-05T10:04:54Z"}],"graph_snapshots":[{"event_id":"sha256:d2cd9ecd7ace38fc1d209c7e8e6884a06c71fa113d44af6bf0e547da6d25c70d","target":"graph","created_at":"2026-07-05T10:04:54Z","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/2009.12698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques for COVID-19 diagnosis. However, they have used very limited chest X-ray (CXR) image repositories for evaluation with a small number, a few hundreds, of COVID-19 samples. Moreover, these methods can neither localize nor grade the severity of COVID-19 infection. For this purpose, recent studies proposed to explore the activation maps of deep networks. However, ","authors_text":"Aysen Degerli, Khalid Hameed, Mehmet Yamac, Mete Ahishali, Moncef Gabbouj, Muhammad E. H. Chowdhury, 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":"2020-09-26T22:20:05Z","title":"COVID-19 Infection Map Generation and Detection from Chest X-Ray Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.12698","kind":"arxiv","version":2},"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:ae3e2a0d6446aa6b6440d46628c89005e5dcd0cf171100769c79620a589ab750","target":"record","created_at":"2026-07-05T10:04:54Z","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":"58ab40b6e273636b7bb01c0b8110196f78c1736fb5fc90524f0910a43972028f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-26T22:20:05Z","title_canon_sha256":"0a14b69c6453d681289364eada553c09c99f049fb3f2d5cd5782509f0c1ded0c"},"schema_version":"1.0","source":{"id":"2009.12698","kind":"arxiv","version":2}},"canonical_sha256":"04ab3612234971edfb713029d44c0d012cda91fcc5e1b7e5fda50cd392475504","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04ab3612234971edfb713029d44c0d012cda91fcc5e1b7e5fda50cd392475504","first_computed_at":"2026-07-05T10:04:54.381629Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:54.381629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4nOwJv19UnZR6GkbPLjQYXEbRDDk+hmy7bSbfCw28qIIdpPD2uggEjQXsuHstGK6lXBm2ovP8pHmTf/wmPSNDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:54.382180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.12698","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae3e2a0d6446aa6b6440d46628c89005e5dcd0cf171100769c79620a589ab750","sha256:d2cd9ecd7ace38fc1d209c7e8e6884a06c71fa113d44af6bf0e547da6d25c70d"],"state_sha256":"776878a506cabf9ec9001f3a9c3bdfcdb40207d6e2b4826c14e54fd47103e158"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FLRCpcijOmGj3LopsjG02MskuMEwZ7QzIEjetgoeEQDbDcdJa9zb5kv/IEy/1v2SoVeqGI8FWYI4xpE/4hhvBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:34:49.025837Z","bundle_sha256":"cea8063062281d6ea982043ff214e3d8ddfe20b1231f86dc40a11b6a7492ec42"}}