{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:765MSVSQP5GKVFQ42UZCPDL255","short_pith_number":"pith:765MSVSQ","canonical_record":{"source":{"id":"2006.05245","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-06-09T13:29:15Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b46503f2e3240da81d9776fb3b52d7f5cf6835b1e713938c87b5a716ebb357bf","abstract_canon_sha256":"bbbc41a233b1a2336a279ce32f384af89b4c5c98e96dd3d8b808051dd167a1bd"},"schema_version":"1.0"},"canonical_sha256":"ffbac956507f4caa961cd532278d7aef6d984ba076e7fe90c59bf1e2c548ee02","source":{"kind":"arxiv","id":"2006.05245","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.05245","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"arxiv_version","alias_value":"2006.05245v3","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.05245","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_12","alias_value":"765MSVSQP5GK","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_16","alias_value":"765MSVSQP5GKVFQ4","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_8","alias_value":"765MSVSQ","created_at":"2026-07-05T03:00:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:765MSVSQP5GKVFQ42UZCPDL255","target":"record","payload":{"canonical_record":{"source":{"id":"2006.05245","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-06-09T13:29:15Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b46503f2e3240da81d9776fb3b52d7f5cf6835b1e713938c87b5a716ebb357bf","abstract_canon_sha256":"bbbc41a233b1a2336a279ce32f384af89b4c5c98e96dd3d8b808051dd167a1bd"},"schema_version":"1.0"},"canonical_sha256":"ffbac956507f4caa961cd532278d7aef6d984ba076e7fe90c59bf1e2c548ee02","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:00:16.905349Z","signature_b64":"baDOPOscnOam5f1ihcEHPiO0tro5i1e3euWfdUigABfZwMgeeKN0NsFTLe/04l4VyrXDPHK3+LpTByvOS3EIDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffbac956507f4caa961cd532278d7aef6d984ba076e7fe90c59bf1e2c548ee02","last_reissued_at":"2026-07-05T03:00:16.904870Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:00:16.904870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.05245","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":"2026-07-05T03:00:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vbA3hvJfBu1qX2fPQczWyEMwAOf+efytxCL/mCXKc4dadCiLWDw1WxfEMuR1UZJhlYG03zFGLttD+iRRXONJBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:32:25.017927Z"},"content_sha256":"e9c193b522889327398ea81ad229524fb7b2df772c7ddcb5abf3456ef19bf7da","schema_version":"1.0","event_id":"sha256:e9c193b522889327398ea81ad229524fb7b2df772c7ddcb5abf3456ef19bf7da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:765MSVSQP5GKVFQ42UZCPDL255","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Review of Automated Diagnosis of COVID-19 Based on Scanning Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Delong Chen, Fan Liu, Shunhui Ji, Xinyu Zhou, Zewen Li","submitted_at":"2020-06-09T13:29:15Z","abstract_excerpt":"The pandemic of COVID-19 has caused millions of infections, which has led to a great loss all over the world, socially and economically. Due to the false-negative rate and the time-consuming of the conventional Reverse Transcription Polymerase Chain Reaction (RT-PCR) tests, diagnosing based on X-ray images and Computed Tomography (CT) images has been widely adopted. Therefore, researchers of the computer vision area have developed many automatic diagnosing models based on machine learning or deep learning to assist the radiologists and improve the diagnosing accuracy. In this paper, we present"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.05245","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/2006.05245/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":"2026-07-05T03:00:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f6Mxhiw50GGNTn8ZU98lXQyVHHTSKm2G304EwOYdYEIB9TQL/rhtKQUOxWyF9mOBZbjHVMtoWVpIWgVYZO0pCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:32:25.018300Z"},"content_sha256":"01016f3a3cf6e6e07fbfccae208c3618552f6b54ff87a280e70250976578bbaa","schema_version":"1.0","event_id":"sha256:01016f3a3cf6e6e07fbfccae208c3618552f6b54ff87a280e70250976578bbaa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/765MSVSQP5GKVFQ42UZCPDL255/bundle.json","state_url":"https://pith.science/pith/765MSVSQP5GKVFQ42UZCPDL255/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/765MSVSQP5GKVFQ42UZCPDL255/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":"2026-07-06T23:32:25Z","links":{"resolver":"https://pith.science/pith/765MSVSQP5GKVFQ42UZCPDL255","bundle":"https://pith.science/pith/765MSVSQP5GKVFQ42UZCPDL255/bundle.json","state":"https://pith.science/pith/765MSVSQP5GKVFQ42UZCPDL255/state.json","well_known_bundle":"https://pith.science/.well-known/pith/765MSVSQP5GKVFQ42UZCPDL255/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:765MSVSQP5GKVFQ42UZCPDL255","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":"bbbc41a233b1a2336a279ce32f384af89b4c5c98e96dd3d8b808051dd167a1bd","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-06-09T13:29:15Z","title_canon_sha256":"b46503f2e3240da81d9776fb3b52d7f5cf6835b1e713938c87b5a716ebb357bf"},"schema_version":"1.0","source":{"id":"2006.05245","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.05245","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"arxiv_version","alias_value":"2006.05245v3","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.05245","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_12","alias_value":"765MSVSQP5GK","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_16","alias_value":"765MSVSQP5GKVFQ4","created_at":"2026-07-05T03:00:16Z"},{"alias_kind":"pith_short_8","alias_value":"765MSVSQ","created_at":"2026-07-05T03:00:16Z"}],"graph_snapshots":[{"event_id":"sha256:01016f3a3cf6e6e07fbfccae208c3618552f6b54ff87a280e70250976578bbaa","target":"graph","created_at":"2026-07-05T03:00:16Z","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/2006.05245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The pandemic of COVID-19 has caused millions of infections, which has led to a great loss all over the world, socially and economically. Due to the false-negative rate and the time-consuming of the conventional Reverse Transcription Polymerase Chain Reaction (RT-PCR) tests, diagnosing based on X-ray images and Computed Tomography (CT) images has been widely adopted. Therefore, researchers of the computer vision area have developed many automatic diagnosing models based on machine learning or deep learning to assist the radiologists and improve the diagnosing accuracy. In this paper, we present","authors_text":"Delong Chen, Fan Liu, Shunhui Ji, Xinyu Zhou, Zewen Li","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-06-09T13:29:15Z","title":"A Review of Automated Diagnosis of COVID-19 Based on Scanning Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.05245","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:e9c193b522889327398ea81ad229524fb7b2df772c7ddcb5abf3456ef19bf7da","target":"record","created_at":"2026-07-05T03:00:16Z","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":"bbbc41a233b1a2336a279ce32f384af89b4c5c98e96dd3d8b808051dd167a1bd","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-06-09T13:29:15Z","title_canon_sha256":"b46503f2e3240da81d9776fb3b52d7f5cf6835b1e713938c87b5a716ebb357bf"},"schema_version":"1.0","source":{"id":"2006.05245","kind":"arxiv","version":3}},"canonical_sha256":"ffbac956507f4caa961cd532278d7aef6d984ba076e7fe90c59bf1e2c548ee02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffbac956507f4caa961cd532278d7aef6d984ba076e7fe90c59bf1e2c548ee02","first_computed_at":"2026-07-05T03:00:16.904870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:00:16.904870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"baDOPOscnOam5f1ihcEHPiO0tro5i1e3euWfdUigABfZwMgeeKN0NsFTLe/04l4VyrXDPHK3+LpTByvOS3EIDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:00:16.905349Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.05245","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9c193b522889327398ea81ad229524fb7b2df772c7ddcb5abf3456ef19bf7da","sha256:01016f3a3cf6e6e07fbfccae208c3618552f6b54ff87a280e70250976578bbaa"],"state_sha256":"45a69bfdfc931f712901199e6d627575c5d1db25c63c2f9ea21e039dd56a93ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fm3eswEwNLPqNUUkWx3YC2H0d5sJe/N9Pk01at/ofrRKm8/ljDnFjogr8Im9OUDxbx5Ki2Eg8A91ycl+XGRHCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:32:25.024617Z","bundle_sha256":"2db53bf258d3c38dd4cf167d86734b460cb42906b812aa1a6dcfff992d3c8b22"}}