{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CSBANBSIBIQR4BUZFRS47ZF7UQ","short_pith_number":"pith:CSBANBSI","schema_version":"1.0","canonical_sha256":"14820686480a211e06992c65cfe4bfa4398eb8411db12bf74e395032072bce13","source":{"kind":"arxiv","id":"2605.28838","version":1},"attestation_state":"computed","paper":{"title":"Specialty-Specific Medical Language Model for Immune-Mediated Diseases","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ace Vo, David Talby, Gursev Pirge, Veysel Kocaman, Yigit Gul, Zhenya Nargizyan","submitted_at":"2026-04-12T13:40:30Z","abstract_excerpt":"Extracting detailed clinical information from free-text medical narratives remains a practical challenge for researchers and healthcare systems. Terminology for immune-mediated and infectious diseases is especially inconsistent across sources, which often limits the ability of general-purpose Natural Language Processing (NLP) systems to capture the relevant biomedical concepts with sufficient granularity. We developed a domain-specific Named Entity Recognition (NER) model tailored to identify disease-related entities occurring in immunology and infectious disease contexts. We assembled and man"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.28838","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-12T13:40:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"033e563a6fc16ea27a25e3cf4ca9fb7ab1c26bc4b5661cec5bb1e3ad193292cf","abstract_canon_sha256":"c1d6ff2e22aea46bfe3bb77444863df9713e11d5f4bbaeadb47f76e676d3629e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T00:04:13.631499Z","signature_b64":"tE8joKBZGzUgADXDGO9IkoU+gbruwGLhcTsmKXiXt5s0W4pPjATj3HvRSQzuYgMF6vPPyowyvlYHew8pli6cBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14820686480a211e06992c65cfe4bfa4398eb8411db12bf74e395032072bce13","last_reissued_at":"2026-05-29T00:04:13.630978Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T00:04:13.630978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Specialty-Specific Medical Language Model for Immune-Mediated Diseases","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ace Vo, David Talby, Gursev Pirge, Veysel Kocaman, Yigit Gul, Zhenya Nargizyan","submitted_at":"2026-04-12T13:40:30Z","abstract_excerpt":"Extracting detailed clinical information from free-text medical narratives remains a practical challenge for researchers and healthcare systems. Terminology for immune-mediated and infectious diseases is especially inconsistent across sources, which often limits the ability of general-purpose Natural Language Processing (NLP) systems to capture the relevant biomedical concepts with sufficient granularity. We developed a domain-specific Named Entity Recognition (NER) model tailored to identify disease-related entities occurring in immunology and infectious disease contexts. We assembled and man"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28838","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/2605.28838/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.28838","created_at":"2026-05-29T00:04:13.631067+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28838v1","created_at":"2026-05-29T00:04:13.631067+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28838","created_at":"2026-05-29T00:04:13.631067+00:00"},{"alias_kind":"pith_short_12","alias_value":"CSBANBSIBIQR","created_at":"2026-05-29T00:04:13.631067+00:00"},{"alias_kind":"pith_short_16","alias_value":"CSBANBSIBIQR4BUZ","created_at":"2026-05-29T00:04:13.631067+00:00"},{"alias_kind":"pith_short_8","alias_value":"CSBANBSI","created_at":"2026-05-29T00:04:13.631067+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ","json":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ.json","graph_json":"https://pith.science/api/pith-number/CSBANBSIBIQR4BUZFRS47ZF7UQ/graph.json","events_json":"https://pith.science/api/pith-number/CSBANBSIBIQR4BUZFRS47ZF7UQ/events.json","paper":"https://pith.science/paper/CSBANBSI"},"agent_actions":{"view_html":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ","download_json":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ.json","view_paper":"https://pith.science/paper/CSBANBSI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28838&json=true","fetch_graph":"https://pith.science/api/pith-number/CSBANBSIBIQR4BUZFRS47ZF7UQ/graph.json","fetch_events":"https://pith.science/api/pith-number/CSBANBSIBIQR4BUZFRS47ZF7UQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ/action/storage_attestation","attest_author":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ/action/author_attestation","sign_citation":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ/action/citation_signature","submit_replication":"https://pith.science/pith/CSBANBSIBIQR4BUZFRS47ZF7UQ/action/replication_record"}},"created_at":"2026-05-29T00:04:13.631067+00:00","updated_at":"2026-05-29T00:04:13.631067+00:00"}