{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IRDS6FCFHPE3CHQEP7NF23C77U","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":"8d7bcf50de0bcfcc0111be6d719ad5e9c136ce255588377a2d946b57302ea1fb","cross_cats_sorted":["cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-03T20:58:43Z","title_canon_sha256":"f56d676f3e56f8d746f33939c6a2bea3a86f7497980f07c419f6a30da9b99481"},"schema_version":"1.0","source":{"id":"2606.05436","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05436","created_at":"2026-06-05T00:13:57Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05436v1","created_at":"2026-06-05T00:13:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05436","created_at":"2026-06-05T00:13:57Z"},{"alias_kind":"pith_short_12","alias_value":"IRDS6FCFHPE3","created_at":"2026-06-05T00:13:57Z"},{"alias_kind":"pith_short_16","alias_value":"IRDS6FCFHPE3CHQE","created_at":"2026-06-05T00:13:57Z"},{"alias_kind":"pith_short_8","alias_value":"IRDS6FCF","created_at":"2026-06-05T00:13:57Z"}],"graph_snapshots":[{"event_id":"sha256:c77e9221779bca844201542d8bd891e24afcf848ba03f7963484e5e6c0cbeb8f","target":"graph","created_at":"2026-06-05T00:13:57Z","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/2606.05436/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Summarizing the latest medical literature to guide clinical decision-making is essential for evidence-based medicine and high-quality patient care. Yet clinicians face increasing challenges due to limited time with patients and a rapidly growing volume of published articles. Although retrieval-augmented large language models (LLMs) have shown promise in clinical summarization, human evaluations of their effectiveness in synthesizing broader scientific literature and direct comparisons to expert-written syntheses remain scarce. We constructed a RAG-based agentic AI framework using three state-o","authors_text":"Alejandro Lozano, Allan Purdy, Carrie E. Robertson, Chia-Chun Chiang, Fred Cohen, Hsiangkuo Yuan, Jenelle A. Jindal, Jennifer Hranilovich, Jennifer Stern, Keiko Ihara, Olga Fermo, Pengfei Zhang, Ping-Hao Yang, Serena Yeung-Levy, Todd J. Schwedt, Yulia Orlova","cross_cats":["cs.CL","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-03T20:58:43Z","title":"Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05436","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":"sha256:630010b2e40bcbab4763026d641c8b8158e56e5920f50b9931760fd09b7ea250","target":"record","created_at":"2026-06-05T00:13:57Z","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":"8d7bcf50de0bcfcc0111be6d719ad5e9c136ce255588377a2d946b57302ea1fb","cross_cats_sorted":["cs.CL","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-03T20:58:43Z","title_canon_sha256":"f56d676f3e56f8d746f33939c6a2bea3a86f7497980f07c419f6a30da9b99481"},"schema_version":"1.0","source":{"id":"2606.05436","kind":"arxiv","version":1}},"canonical_sha256":"44472f14453bc9b11e047fda5d6c5ffd0efc3aaeb83f7fc0c89fd3efbf1591ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44472f14453bc9b11e047fda5d6c5ffd0efc3aaeb83f7fc0c89fd3efbf1591ae","first_computed_at":"2026-06-05T00:13:57.830525Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T00:13:57.830525Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bwe74mCSXaVeCslpQtT+paEOLdrLfZXPVbWhCzdNSEhiL+1fLgcqq6ntxNbGZIItCJh9AVifvJqGci99Gqf8Ag==","signature_status":"signed_v1","signed_at":"2026-06-05T00:13:57.832190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05436","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:630010b2e40bcbab4763026d641c8b8158e56e5920f50b9931760fd09b7ea250","sha256:c77e9221779bca844201542d8bd891e24afcf848ba03f7963484e5e6c0cbeb8f"],"state_sha256":"c0f742e788d0e415daeb9c0f7f0be3f6b82c7968e0b592d3ca926b3915e04d5c"}