{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WBEAKF5XZGMJHU3EKX4TOACFUE","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":"bc1712cd423df39c1d28531e85140e48b0694450cd587a192f1fb837daf11f23","cross_cats_sorted":["cs.AI","cs.CL","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-27T19:04:44Z","title_canon_sha256":"6b66632a7a3fd086c6e79f41a3cb8089aa78556e8caa0ad6d4b898625e8ca775"},"schema_version":"1.0","source":{"id":"2507.22902","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.22902","created_at":"2026-07-05T11:46:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.22902v1","created_at":"2026-07-05T11:46:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22902","created_at":"2026-07-05T11:46:01Z"},{"alias_kind":"pith_short_12","alias_value":"WBEAKF5XZGMJ","created_at":"2026-07-05T11:46:01Z"},{"alias_kind":"pith_short_16","alias_value":"WBEAKF5XZGMJHU3E","created_at":"2026-07-05T11:46:01Z"},{"alias_kind":"pith_short_8","alias_value":"WBEAKF5X","created_at":"2026-07-05T11:46:01Z"}],"graph_snapshots":[{"event_id":"sha256:8d14576662a2991320fb5a406670b0fa6a296d008abb3d0acb01e58c481578f1","target":"graph","created_at":"2026-07-05T11:46:01Z","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/2507.22902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a virtual urgent care setting. Methods: We retrospectively compared the performance of the multi-agent AI ","authors_text":"Adam Z. Oskowitz, Evgeniy Makarov, Hashim Hayat, Maksim Kudrautsau, Matt Pavelle, Piotr Varaksin, Tim Tsykunou, Vlad Melnichenko","cross_cats":["cs.AI","cs.CL","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-27T19:04:44Z","title":"Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22902","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":"sha256:4570674e55c87631a3d8649040c8d7438cc1879a547dfeee6747c90c99ef43c3","target":"record","created_at":"2026-07-05T11:46:01Z","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":"bc1712cd423df39c1d28531e85140e48b0694450cd587a192f1fb837daf11f23","cross_cats_sorted":["cs.AI","cs.CL","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-06-27T19:04:44Z","title_canon_sha256":"6b66632a7a3fd086c6e79f41a3cb8089aa78556e8caa0ad6d4b898625e8ca775"},"schema_version":"1.0","source":{"id":"2507.22902","kind":"arxiv","version":1}},"canonical_sha256":"b0480517b7c99893d36455f9370045a115221afae0c192802aa2fbac680511e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0480517b7c99893d36455f9370045a115221afae0c192802aa2fbac680511e8","first_computed_at":"2026-07-05T11:46:01.169792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:01.169792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xp7eL4skh4Mxs/P0YcjY0dWvlzXoqyXTq47mgKFLY0oaN44zrMvG+kN1CRIjTab9aM7lGdeQl4hiCAxXd7cLDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:01.170357Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.22902","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4570674e55c87631a3d8649040c8d7438cc1879a547dfeee6747c90c99ef43c3","sha256:8d14576662a2991320fb5a406670b0fa6a296d008abb3d0acb01e58c481578f1"],"state_sha256":"14fa5aea2b72c2c029658620788c1f35e19e412766c6cc0693ceac2456eee76d"}