{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JHA4VC5FSYKYJKTDV6WVAOG53S","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":"89e637f72b84e6730fa6c8e5fec9edb8e44c832d74188598776b949f8df4b947","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"q-bio.QM","submitted_at":"2022-02-04T20:22:16Z","title_canon_sha256":"114de84da9bfb1f08d744e3e7cf0c4a2b500b782dda662e87cd3d709982ca9b2"},"schema_version":"1.0","source":{"id":"2202.02377","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02377","created_at":"2026-07-05T03:54:28Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02377v1","created_at":"2026-07-05T03:54:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02377","created_at":"2026-07-05T03:54:28Z"},{"alias_kind":"pith_short_12","alias_value":"JHA4VC5FSYKY","created_at":"2026-07-05T03:54:28Z"},{"alias_kind":"pith_short_16","alias_value":"JHA4VC5FSYKYJKTD","created_at":"2026-07-05T03:54:28Z"},{"alias_kind":"pith_short_8","alias_value":"JHA4VC5F","created_at":"2026-07-05T03:54:28Z"}],"graph_snapshots":[{"event_id":"sha256:7377cb95e900d43f110a23b70b96ddbaa260f2ef95462be84b8b220b0524450e","target":"graph","created_at":"2026-07-05T03:54:28Z","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/2202.02377/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose: Automatic methods are required for the early detection of hepatic steatosis to avoid progression to cirrhosis and cancer. Here, we developed a fully automated deep learning pipeline to quantify hepatic steatosis on non-contrast enhanced chest computed tomography (CT) scans. Materials and Methods: We developed and evaluated our pipeline on chest CT images of 1,431 randomly selected National Lung Screening Trial (NLST) participants. A dataset of 451 CT scans with volumetric liver segmentations of expert readers was used for training a deep learning model. For testing, in an independent ","authors_text":"Hugo J.W.L. Aerts, Jakob Weiss, Jana Taron, Michael T. Lu, Roman Zeleznik, Zhongyi Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"q-bio.QM","submitted_at":"2022-02-04T20:22:16Z","title":"Deep Learning-based Assessment of Hepatic Steatosis on chest CT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02377","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:c09a88f6e89d7674b6493c7f71c34f279f24c374b48aeb112c8fea00b13ad152","target":"record","created_at":"2026-07-05T03:54:28Z","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":"89e637f72b84e6730fa6c8e5fec9edb8e44c832d74188598776b949f8df4b947","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"q-bio.QM","submitted_at":"2022-02-04T20:22:16Z","title_canon_sha256":"114de84da9bfb1f08d744e3e7cf0c4a2b500b782dda662e87cd3d709982ca9b2"},"schema_version":"1.0","source":{"id":"2202.02377","kind":"arxiv","version":1}},"canonical_sha256":"49c1ca8ba5961584aa63afad5038dddc9422331c31163905b61c2a093e70fe11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49c1ca8ba5961584aa63afad5038dddc9422331c31163905b61c2a093e70fe11","first_computed_at":"2026-07-05T03:54:28.279407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:28.279407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yGaTqfmj+vJ8uNQHHDfFirktqEEliDhWDDTNzHCWvXcMAdWi0//Iw5UzPgWuVJY8JC+glYKosyegG7XBg3kLAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:28.279883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.02377","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c09a88f6e89d7674b6493c7f71c34f279f24c374b48aeb112c8fea00b13ad152","sha256:7377cb95e900d43f110a23b70b96ddbaa260f2ef95462be84b8b220b0524450e"],"state_sha256":"77992457ac4ac4d2ee86020916dd56263c5ee90a8ec490d48ca64df4b8ab6b88"}