{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:PFHRXBWASSF2BXC24WK7HSGQVJ","short_pith_number":"pith:PFHRXBWA","canonical_record":{"source":{"id":"2005.01903","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-05T01:31:40Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e2639d6f413235bd2784d5d60847a08e1549abd43d25115219aed870936c55ba","abstract_canon_sha256":"b525c19e86fe972899dc6f269709b17fdf4049084b55ef966daf6083a2c85d11"},"schema_version":"1.0"},"canonical_sha256":"794f1b86c0948ba0dc5ae595f3c8d0aa57224c17bb4ebd60a997b365de2ced6b","source":{"kind":"arxiv","id":"2005.01903","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.01903","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"arxiv_version","alias_value":"2005.01903v1","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.01903","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_12","alias_value":"PFHRXBWASSF2","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_16","alias_value":"PFHRXBWASSF2BXC2","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_8","alias_value":"PFHRXBWA","created_at":"2026-07-05T01:00:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:PFHRXBWASSF2BXC24WK7HSGQVJ","target":"record","payload":{"canonical_record":{"source":{"id":"2005.01903","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-05T01:31:40Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e2639d6f413235bd2784d5d60847a08e1549abd43d25115219aed870936c55ba","abstract_canon_sha256":"b525c19e86fe972899dc6f269709b17fdf4049084b55ef966daf6083a2c85d11"},"schema_version":"1.0"},"canonical_sha256":"794f1b86c0948ba0dc5ae595f3c8d0aa57224c17bb4ebd60a997b365de2ced6b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:00:20.656981Z","signature_b64":"bB0oXflVSmiIe+czqD3QjIWqq3Ywz0ozu49AgmMJwInkWuFrb3+zdoPR8eyaaOHjP9KuxzMkQ9O2CLS3orSxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"794f1b86c0948ba0dc5ae595f3c8d0aa57224c17bb4ebd60a997b365de2ced6b","last_reissued_at":"2026-07-05T01:00:20.656501Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:00:20.656501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.01903","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":"2026-07-05T01:00:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ggAu5G+KLrPBqYeqppPDeKjED0Q0HOdC1TiwCxQjFYVq4OTFeaIjdrvSP9EURfi6kHg2QQ6bS2UAK4f0v16SCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T10:43:04.991523Z"},"content_sha256":"e5cf3d6157c4c6157c56ec94f72e35fc891a49f35fc7613efc5416780621ced7","schema_version":"1.0","event_id":"sha256:e5cf3d6157c4c6157c56ec94f72e35fc891a49f35fc7613efc5416780621ced7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:PFHRXBWASSF2BXC24WK7HSGQVJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Abishek Balachandran, Bogdan Georgescu, Brian Teixeira, Dorin Comaniciu, Guillaume Chabin, Sasa Grbic, Sebastian Piat, Shikha Chaganti, Siqi Liu, Thomas Re, Vishwanath RS, Youngjin Yoo, Zhoubing Xu","submitted_at":"2020-05-05T01:31:40Z","abstract_excerpt":"The Coronavirus Disease (COVID-19) has affected 1.8 million people and resulted in more than 110,000 deaths as of April 12, 2020. Several studies have shown that tomographic patterns seen on chest Computed Tomography (CT), such as ground-glass opacities, consolidations, and crazy paving pattern, are correlated with the disease severity and progression. CT imaging can thus emerge as an important modality for the management of COVID-19 patients. AI-based solutions can be used to support CT based quantitative reporting and make reading efficient and reproducible if quantitative biomarkers, such a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.01903","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/2005.01903/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":"2026-07-05T01:00:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ovu1KtIfrP72PcMF1ivaTVh3SgCsOUGoWf164nHYmn3Q2OG7cmZ1nb4JgbI/mU+hOftot60CIqMBFtj891ZWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T10:43:04.991899Z"},"content_sha256":"b7fa5caf37674356401f016861d76c8c252b5a6be591edc4ae70d998b1d67323","schema_version":"1.0","event_id":"sha256:b7fa5caf37674356401f016861d76c8c252b5a6be591edc4ae70d998b1d67323"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/bundle.json","state_url":"https://pith.science/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/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":"2026-07-05T10:43:04Z","links":{"resolver":"https://pith.science/pith/PFHRXBWASSF2BXC24WK7HSGQVJ","bundle":"https://pith.science/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/bundle.json","state":"https://pith.science/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PFHRXBWASSF2BXC24WK7HSGQVJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:PFHRXBWASSF2BXC24WK7HSGQVJ","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":"b525c19e86fe972899dc6f269709b17fdf4049084b55ef966daf6083a2c85d11","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-05T01:31:40Z","title_canon_sha256":"e2639d6f413235bd2784d5d60847a08e1549abd43d25115219aed870936c55ba"},"schema_version":"1.0","source":{"id":"2005.01903","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.01903","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"arxiv_version","alias_value":"2005.01903v1","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.01903","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_12","alias_value":"PFHRXBWASSF2","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_16","alias_value":"PFHRXBWASSF2BXC2","created_at":"2026-07-05T01:00:20Z"},{"alias_kind":"pith_short_8","alias_value":"PFHRXBWA","created_at":"2026-07-05T01:00:20Z"}],"graph_snapshots":[{"event_id":"sha256:b7fa5caf37674356401f016861d76c8c252b5a6be591edc4ae70d998b1d67323","target":"graph","created_at":"2026-07-05T01:00:20Z","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/2005.01903/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Coronavirus Disease (COVID-19) has affected 1.8 million people and resulted in more than 110,000 deaths as of April 12, 2020. Several studies have shown that tomographic patterns seen on chest Computed Tomography (CT), such as ground-glass opacities, consolidations, and crazy paving pattern, are correlated with the disease severity and progression. CT imaging can thus emerge as an important modality for the management of COVID-19 patients. AI-based solutions can be used to support CT based quantitative reporting and make reading efficient and reproducible if quantitative biomarkers, such a","authors_text":"Abishek Balachandran, Bogdan Georgescu, Brian Teixeira, Dorin Comaniciu, Guillaume Chabin, Sasa Grbic, Sebastian Piat, Shikha Chaganti, Siqi Liu, Thomas Re, Vishwanath RS, Youngjin Yoo, Zhoubing Xu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-05T01:31:40Z","title":"3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.01903","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:e5cf3d6157c4c6157c56ec94f72e35fc891a49f35fc7613efc5416780621ced7","target":"record","created_at":"2026-07-05T01:00:20Z","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":"b525c19e86fe972899dc6f269709b17fdf4049084b55ef966daf6083a2c85d11","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-05T01:31:40Z","title_canon_sha256":"e2639d6f413235bd2784d5d60847a08e1549abd43d25115219aed870936c55ba"},"schema_version":"1.0","source":{"id":"2005.01903","kind":"arxiv","version":1}},"canonical_sha256":"794f1b86c0948ba0dc5ae595f3c8d0aa57224c17bb4ebd60a997b365de2ced6b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"794f1b86c0948ba0dc5ae595f3c8d0aa57224c17bb4ebd60a997b365de2ced6b","first_computed_at":"2026-07-05T01:00:20.656501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:00:20.656501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bB0oXflVSmiIe+czqD3QjIWqq3Ywz0ozu49AgmMJwInkWuFrb3+zdoPR8eyaaOHjP9KuxzMkQ9O2CLS3orSxBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:00:20.656981Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.01903","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5cf3d6157c4c6157c56ec94f72e35fc891a49f35fc7613efc5416780621ced7","sha256:b7fa5caf37674356401f016861d76c8c252b5a6be591edc4ae70d998b1d67323"],"state_sha256":"a3d9f2acae8240509c4ba948c9ae79d13e37b2c98d23ccaf5517e00ea3867a68"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"verIxEqY6pcd9sRvqR/5gJeEyzAZcy3/4f8BidF/6LRLFha9b7CUG+2t0RY61I8ohYzvhmUsXbE5jeVnosvKCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T10:43:04.997402Z","bundle_sha256":"610b3c1d533282e487aa0ef2d9d2a436e91cf13ec9b86c5f89c398c250a43ff6"}}