{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:O4U7NJHOAMR6WUPP7ATXVJY6VV","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":"f0b2be06710b3940aa134d50333ec5015621756f5c3dfa383feb4bfdcd88ff20","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T18:24:21Z","title_canon_sha256":"2ac0aa0e41e87eb80370b05e261e9476624d9cb2adb4d7e26ef872a4a08a9113"},"schema_version":"1.0","source":{"id":"2312.03812","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03812","created_at":"2026-07-05T07:21:15Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03812v1","created_at":"2026-07-05T07:21:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03812","created_at":"2026-07-05T07:21:15Z"},{"alias_kind":"pith_short_12","alias_value":"O4U7NJHOAMR6","created_at":"2026-07-05T07:21:15Z"},{"alias_kind":"pith_short_16","alias_value":"O4U7NJHOAMR6WUPP","created_at":"2026-07-05T07:21:15Z"},{"alias_kind":"pith_short_8","alias_value":"O4U7NJHO","created_at":"2026-07-05T07:21:15Z"}],"graph_snapshots":[{"event_id":"sha256:8fbde9c22551282ecd971a86f4c4edcec727c63580556fe1b12f7785c3d686c5","target":"graph","created_at":"2026-07-05T07:21:15Z","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/2312.03812/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support \"Learning Health Systems\" with them. Initially, the authors elaborate on these challenges after separating them according to their mitigation strategies: those that need innovative approaches, time, or future technological capabilities and those that require a conceptual reappraisal from a critical perspective. Then, a novel opportunity to support \"Learning Health Systems\" by integrating hidden information extracted by ML models from dig","authors_text":"Andrew P. Norgan, Ashirbani Saha, Clinton J.V. Campbell, Cynthia Lokker, Peyman Nejat, Ricardo Gonzalez","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T18:24:21Z","title":"Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03812","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":"sha256:2b069bec3c7975da84b8c7171c9380ea1efec409c43d55ed7b3f682e5a8b0117","target":"record","created_at":"2026-07-05T07:21:15Z","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":"f0b2be06710b3940aa134d50333ec5015621756f5c3dfa383feb4bfdcd88ff20","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T18:24:21Z","title_canon_sha256":"2ac0aa0e41e87eb80370b05e261e9476624d9cb2adb4d7e26ef872a4a08a9113"},"schema_version":"1.0","source":{"id":"2312.03812","kind":"arxiv","version":1}},"canonical_sha256":"7729f6a4ee0323eb51eff8277aa71ead7a9adff1f0aa641b22f370f51ef4ff7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7729f6a4ee0323eb51eff8277aa71ead7a9adff1f0aa641b22f370f51ef4ff7a","first_computed_at":"2026-07-05T07:21:15.352143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:15.352143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z576+SUTNGU9gSmbgJTu0Tk+BBRW+xwqkHJwDz2PuoL8qw/Ch2E/v7CKepCRoQLMz/auPIzDbRxMkoPv7ZeZAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:15.352623Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03812","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b069bec3c7975da84b8c7171c9380ea1efec409c43d55ed7b3f682e5a8b0117","sha256:8fbde9c22551282ecd971a86f4c4edcec727c63580556fe1b12f7785c3d686c5"],"state_sha256":"7e6fe88fe41dcfb18e7c8d5a3481ed2ac51be63c65474fcd45cb2ce831db5bbf"}