{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:26JMCP6BA34YNI3GLETVYOQBGO","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":"0076fe14f8d31eff1a9b420f2f1379c016f044a1fc0cd1663e68f38c6ad68fcf","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-10-17T20:08:41Z","title_canon_sha256":"386ecb3f537a9b82efe604dbddd1ad577bff52d48b0d9134148c0d4ff51227ac"},"schema_version":"1.0","source":{"id":"2210.09403","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.09403","created_at":"2026-07-05T05:10:40Z"},{"alias_kind":"arxiv_version","alias_value":"2210.09403v2","created_at":"2026-07-05T05:10:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.09403","created_at":"2026-07-05T05:10:40Z"},{"alias_kind":"pith_short_12","alias_value":"26JMCP6BA34Y","created_at":"2026-07-05T05:10:40Z"},{"alias_kind":"pith_short_16","alias_value":"26JMCP6BA34YNI3G","created_at":"2026-07-05T05:10:40Z"},{"alias_kind":"pith_short_8","alias_value":"26JMCP6B","created_at":"2026-07-05T05:10:40Z"}],"graph_snapshots":[{"event_id":"sha256:56d58315e25fccef4dbfebb716e7f02e545063c177d0ac04ebc7d5b13827df8d","target":"graph","created_at":"2026-07-05T05:10:40Z","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/2210.09403/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the deep learning method on CT scan images can play a vital role in assisting medical professionals and decision authorities in controlling the spread of the disease and providing essential support for patients. The convolution neural network is widely used in the field of large-scale image recognition. The current method of RT-PCR to diagnose COVID-19 is time-","authors_text":"Gargi Desai, Murat Ozer, Nelly Elsayed, Zag ElSayed","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-10-17T20:08:41Z","title":"A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.09403","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":"sha256:06615067d182e9c34709c3b4336b289db33809d9631428941e2cebb71884b385","target":"record","created_at":"2026-07-05T05:10:40Z","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":"0076fe14f8d31eff1a9b420f2f1379c016f044a1fc0cd1663e68f38c6ad68fcf","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-10-17T20:08:41Z","title_canon_sha256":"386ecb3f537a9b82efe604dbddd1ad577bff52d48b0d9134148c0d4ff51227ac"},"schema_version":"1.0","source":{"id":"2210.09403","kind":"arxiv","version":2}},"canonical_sha256":"d792c13fc106f986a36659275c3a01339c99d31f4efd030339a269e19bbbe53f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d792c13fc106f986a36659275c3a01339c99d31f4efd030339a269e19bbbe53f","first_computed_at":"2026-07-05T05:10:40.895069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:40.895069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h//8bm8Ic96KPMsuseFQZnbSz74Nvb66RqOqJZ1Zm5nnAVP3tRwNhk3hgwI7IG+wSQlIZNXTeRN7vEYwZcDBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:40.895623Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.09403","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06615067d182e9c34709c3b4336b289db33809d9631428941e2cebb71884b385","sha256:56d58315e25fccef4dbfebb716e7f02e545063c177d0ac04ebc7d5b13827df8d"],"state_sha256":"fb2af2526677f2cd718327f1d48406f4a72b4b2512203bf89256ab13111d99a5"}