{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PRPSJTNRFX47YXUSO67KIK4TI6","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":"668ddf14b33e6ed0eb268f19ddccd3852623356e07884a997f43bfba9786f3b9","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-27T18:40:05Z","title_canon_sha256":"8e8e6ce368292b8b3ff54ed1cdb58af8a80530870f45f97bd6b85c318769f03c"},"schema_version":"1.0","source":{"id":"2404.17977","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17977","created_at":"2026-07-05T08:41:02Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17977v2","created_at":"2026-07-05T08:41:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17977","created_at":"2026-07-05T08:41:02Z"},{"alias_kind":"pith_short_12","alias_value":"PRPSJTNRFX47","created_at":"2026-07-05T08:41:02Z"},{"alias_kind":"pith_short_16","alias_value":"PRPSJTNRFX47YXUS","created_at":"2026-07-05T08:41:02Z"},{"alias_kind":"pith_short_8","alias_value":"PRPSJTNR","created_at":"2026-07-05T08:41:02Z"}],"graph_snapshots":[{"event_id":"sha256:74e400f6487fb0dececa2e8602e3606a9fd1011b5a11eed959735dc89c189b97","target":"graph","created_at":"2026-07-05T08:41:02Z","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/2404.17977/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prior Authorization delivers safe, appropriate, and cost-effective care that is medically justified with evidence-based guidelines. However, the process often requires labor-intensive manual comparisons between patient medical records and clinical guidelines, that is both repetitive and time-consuming. Recent developments in Large Language Models (LLMs) have shown potential in addressing complex medical NLP tasks with minimal supervision. This paper explores the application of Multi-Agent System (MAS) that utilize specialized LLM agents to automate Prior Authorization task by breaking them dow","authors_text":"Akhil Amod, Himanshu Pandey, Shivang","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-27T18:40:05Z","title":"Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17977","kind":"arxiv","version":2},"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":"sha256:8ee3593aeb2f1d9788c0a7fb339574d752c2b90581912e91542e88ee65bb1d43","target":"record","created_at":"2026-07-05T08:41:02Z","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":"668ddf14b33e6ed0eb268f19ddccd3852623356e07884a997f43bfba9786f3b9","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-27T18:40:05Z","title_canon_sha256":"8e8e6ce368292b8b3ff54ed1cdb58af8a80530870f45f97bd6b85c318769f03c"},"schema_version":"1.0","source":{"id":"2404.17977","kind":"arxiv","version":2}},"canonical_sha256":"7c5f24cdb12df9fc5e9277bea42b9347baeda40994ce933f3d335c17b85e255c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c5f24cdb12df9fc5e9277bea42b9347baeda40994ce933f3d335c17b85e255c","first_computed_at":"2026-07-05T08:41:02.235544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:02.235544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wAcQSx2Pagmyb5JjWTO5FTgXqVnaufos7tTIuGJ6yckT1lQq0XeTlCUyzvXXdjDXZh/zNyAID1AKtM916tWJAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:02.235985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17977","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ee3593aeb2f1d9788c0a7fb339574d752c2b90581912e91542e88ee65bb1d43","sha256:74e400f6487fb0dececa2e8602e3606a9fd1011b5a11eed959735dc89c189b97"],"state_sha256":"a6c6eb9f2804fa10e38319143e19035b839ca1f3ef7a8b728770b378938d1dda"}