{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3TZYDYVA7RLHPLCAVZETANHKHX","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":"a3a1550e81347f7baf7c648f884a2b8467ce540cd7024aaef30a94a40352ee03","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-03T10:12:18Z","title_canon_sha256":"996bf5ab38051b603ca99063e037b328f14bb15aec501a4295687bd6b536f48b"},"schema_version":"1.0","source":{"id":"2509.04519","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04519","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04519v1","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04519","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"3TZYDYVA7RLH","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"3TZYDYVA7RLHPLCA","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"3TZYDYVA","created_at":"2026-07-05T12:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:13d7f9f5fa568c0a7edbcc2f27c1d338734595fe081f8200761ee944ecddf876","target":"graph","created_at":"2026-07-05T12:05:24Z","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/2509.04519/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extracting structured clinical information from radiology reports is challenging, especially in low-resource languages. This is pronounced in Crohn's disease, with sparsely represented multi-organ findings. We developed Hierarchical Structured Matching Prediction BERT (HSMP-BERT), a prompt-based model for extraction from Hebrew radiology text. In an administrative database study, we analyzed 9,683 reports from Crohn's patients imaged 2010-2023 across Israeli providers. A subset of 512 reports was radiologist-annotated for findings across six gastrointestinal organs and 15 pathologies, yielding","authors_text":"Dan Turner, Gili Focht, Hadas Ben-Atya, Liam Hazan, Moti Freiman, Naama Gavrielov, Ruth Cytter-Kuint, Talar Hagopian, Zvi Badash","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-03T10:12:18Z","title":"Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04519","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:b0b4fe530c601fdfbdbce06465a25500129e6ebb4ee62653d420ed77f4b12298","target":"record","created_at":"2026-07-05T12:05:24Z","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":"a3a1550e81347f7baf7c648f884a2b8467ce540cd7024aaef30a94a40352ee03","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-03T10:12:18Z","title_canon_sha256":"996bf5ab38051b603ca99063e037b328f14bb15aec501a4295687bd6b536f48b"},"schema_version":"1.0","source":{"id":"2509.04519","kind":"arxiv","version":1}},"canonical_sha256":"dcf381e2a0fc5677ac40ae493034ea3de0c374578f03b1aa232a02f203e4320e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dcf381e2a0fc5677ac40ae493034ea3de0c374578f03b1aa232a02f203e4320e","first_computed_at":"2026-07-05T12:05:24.564175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:24.564175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I8k8UqcnjTBkQGKR/TjMuHa1CbgS7vnCS6KxXXRzzxWulW/bSQvAxAuOsFwIlAyTpmHE8EoHVfld1a9wJqdaDg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:24.564747Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04519","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0b4fe530c601fdfbdbce06465a25500129e6ebb4ee62653d420ed77f4b12298","sha256:13d7f9f5fa568c0a7edbcc2f27c1d338734595fe081f8200761ee944ecddf876"],"state_sha256":"a533e3d57fb6e39d4b569608bd294a57fb7305856008826ed3767424f8710a67"}