Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:21:23.281512Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2607.25485.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:21:23.281512Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
90 of 90 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3766f1de-5153-41a0-9f76-2114a82dc3f9 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2001 , publisher =
Reference 1
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Observation 5ed8be90-8cd6-4524-a1ca-f98a0bdf0cbe · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2021 , url =
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PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2022 , note =
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Observation 4aabc5c4-edab-4321-a214-5471f0c5f490 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 4
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Observation a54b7eb0-1321-436b-87ec-04e7062fadd2 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2023 , howpublished =
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Observation d6f90ebe-28b7-42cf-80bf-7718e915c2c6 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2015 , publisher =
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Observation 2d6fbe6c-a523-440f-afa9-0bbbdded1c0b · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats
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Observation 5133b7e0-ecc1-411a-8ae2-c76bb59ada90 · outbound
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PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents , journal=
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Observation 5145c540-da71-4c6a-a9a6-581558ec44e3 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 12
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Observation e2b3a5c0-21ca-4b6b-b4da-62c8126118a7 · outbound
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Observation 2ddafd12-fac0-4475-94fc-0131f2e7749b · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Biomedical Engineering , year=
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Observation 572748a5-1d98-47a9-b633-b3312eebc609 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents NPJ Digital Medicine , year=
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Observation 4340bb15-0dbd-49fc-b6d7-07cf854f9fd7 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 16
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Observation 84c1942a-39a1-4798-ba74-105204196ce2 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 17
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Observation 12ff1d21-88bf-4091-90ef-80a748d623ae · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 18
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Observation 2b6e8cb1-25a5-40c3-b37c-a349317de069 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Patient Education and Counseling , year=
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Observation 6a204367-a294-4bf0-bad3-e84c670ff169 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents BMJ , year=
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Observation e595d080-e486-42c3-a7f9-d943664b6795 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Medicine , year=
Reference 21
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Observation 4e189cb0-cdc7-47e4-a618-48d48e14c39e · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Artificial Intelligence Review , volume=
Reference 22
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Observation 5bfc97ef-4af7-49d9-bd9e-a2d335722588 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents JAMA , year=
Reference 23
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Observation 7fdc98d7-198d-4182-a7e4-758b084326f3 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature , year=
Reference 24
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Observation cedf752f-0159-4c4a-ad6e-dfc543addee8 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents NEJM AI , year=
Reference 25
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Observation 7271ba60-670a-4192-a716-d03538f15416 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Science , year=
Reference 26
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Observation 771c716b-d1dd-45b6-b0ac-f1a3ae886674 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents The Lancet Digital Health , year=
Reference 27
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Observation aed0c3c7-2485-448e-900e-c406ac43fea6 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents NPJ Digital Medicine , year=
Reference 28
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Observation c47e663e-93b1-4917-ac52-efc274eba4ab · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of the American Medical Informatics Association , year=
Reference 29
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Observation dd80af87-8579-4405-b175-98d7cf812c7d · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Health Affairs , volume=
Reference 30
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Observation 7a43b0ee-7c2f-4355-8db6-767ef1df19bd · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2007 , doi=
Reference 31
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Observation 39c08e43-e7f2-4c98-bf2b-6245d031a19a · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Reference 32
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Observation 340f490a-9557-44c3-9e62-c9be6692e907 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Medicine , volume=
Reference 33
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Observation 2774a0b5-9ace-474d-b3db-4890fad0a887 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 34
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Observation 83821be7-b68c-4cb1-90d5-3469c448df4f · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2025 , url=
Reference 35
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Observation 40530c6b-34a6-449a-a484-d44c8c753e4d · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2024 , url=
Reference 36
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Observation 19f2360d-aafb-4665-90e9-21aab131394d · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents 2025 , eprint=
Reference 37
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Observation 06bd87c1-47d3-407d-888b-4f128e16389a · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Preference Leakage: A Contamination Problem in
Reference 38
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Observation 0658af29-991a-41e1-a698-6f18bbadb162 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Self-Preference Bias in LLM-as-a-Judge
Reference 39
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Observation 92d99b06-3f87-4c21-a904-a0c9eaa4440c · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents LLM Evaluators Recognize and Favor Their Own Generations
Reference 40
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Observation 8b3fba1c-eb8e-4ca3-b266-5d23955820f0 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents International Conference on Learning Representations (ICLR) , year=
Reference 41
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Observation 913a0366-970a-461d-a17a-14865e2d0ea9 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Reference 42
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Observation 57ce7a47-62f4-4c2c-87f6-463013feeb28 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Scientific Data , volume=
Reference 43
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Observation e726d091-3c72-4722-9af6-8bb128dc51e4 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 44
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Observation 919727a7-8220-416f-bfff-9ce2953554a0 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Reference 45
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Observation 1750fc42-26ec-4ad0-9c54-366008523316 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Applied Sciences , volume=
Reference 46
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Observation 1c1951a3-9aee-448d-8aa8-70628b357b14 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents International Conference on Learning Representations (ICLR) , year=
Reference 47
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Observation 9e80aeb1-43f5-4fac-95fe-d408bc533dbe · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents International Conference on Learning Representations (ICLR) , year=
Reference 48
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Observation 4355c556-d7ab-47f6-b90c-abe9f23a7ecd · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents PARADISE : a framework for evaluating spoken dialogue agents
Reference 49
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Observation 4bedea21-e4f8-4cfd-b789-0f3487d0d447 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Towards an automatic Turing test: Learning to evaluate dialogue responses
Reference 50
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Observation 81cfd0c9-d0ce-4fb6-a6a4-312c336c1c78 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Reference 51
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Observation 2fc661a9-25c8-48d8-a067-79c2490aee2c · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Proceedings of the 31st International Conference on Computational Linguistics (COLING) , pages =
Reference 52
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Observation 889aafdc-abcd-4541-b19f-22104f8d90e2 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents arXiv preprint arXiv:2601.03023 , year =
Reference 53
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Observation 358a967d-b42d-4908-b5ce-b193a960e88f · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents and Geng, Gloria and Park, Danny and Zou, James and Ng, Andrew Y
Reference 54
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Observation 192c1a86-9ffc-4b4a-a1d5-ce80e0710139 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track , volume =
Reference 55
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Observation 7f1af8b4-ae71-4e87-864a-c6bfca68d5d0 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents and He, Junjun and Qiao, Yu , booktitle =
Reference 56
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Observation a30e99a9-1327-476c-b4bc-e0e6128631df · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents ClinicalBench: Can
Reference 57
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Observation d88614ee-8082-4a69-9e1d-aa4c9220d53a · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =
Reference 58
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Observation d3b2b9ca-5269-43b2-8cfa-aaefcdd9ef89 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Reference 59
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Observation 68867839-324e-42d0-8aba-4a4586818b24 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Reference 60
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Observation 8fa8e008-fdcf-4db9-8819-51b6ca835571 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Unresolved cited work
Reference 61
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Observation 63aec43f-d4ba-4da9-bc64-31b744f43b7d · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents and Mao, Huanzhi and Yan, Fanjia and Ji, Charlie Cheng-Jie and Suresh, Vishnu and Stoica, Ion and Gonzalez, Joseph E
Reference 62
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Observation de1fbce5-bb35-481b-bb7e-5a7a6ded9627 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of Medical Internet Research , volume =
Reference 63
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Observation 5c80304c-4a3e-4169-b328-da3805979977 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of Medical Internet Research , volume =
Reference 64
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Observation 5467353b-d1c7-487a-9086-04c91a2817b6 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of the American Medical Informatics Association , volume =
Reference 65
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Observation 3956f1df-4c78-4a65-bce7-0251293db865 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of Medical Internet Research , volume =
Reference 66
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Observation 99e3c458-7e76-4afc-ba8c-49657f8a1759 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents npj Digital Medicine , volume =
Reference 67
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Observation 621d281b-c99d-4e1b-a222-189c274ff6f8 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Journal of Medical Internet Research , volume =
Reference 68
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Observation 2e8d33b3-5744-4a1c-b2d5-aa4b5cd71ac2 · outbound
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Reference 69
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Observation daf8417d-68ec-4074-83f5-fa72605b7898 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents BMJ Open , volume =
Reference 70
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Observation f3c6c9d6-cbec-4b73-bb34-fc4e24f7b3d7 · outbound
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Reference 71
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Observation 1d8f8230-c9c7-4dc7-9701-d771716a0fb8 · outbound
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Reference 72
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Observation 3aaf1d19-7dfc-4022-a09f-92b15b08ef08 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Medicine , volume =
Reference 73
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Observation ed50d4a6-c454-4aed-8004-7289d0df48b2 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents HealthBench: Evaluating Large Language Models Towards Improved Human Health
Reference 74
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Observation b99d2425-4fbf-4224-b2fc-4855c7c9b477 · outbound
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Reference 75
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Observation 1d8974f7-43a0-4a1b-aa11-0673bffc94a4 · outbound
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Reference 76
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Observation 24a98490-6834-41b2-89e2-18859d70cc3c · outbound
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Reference 77
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Observation ffa6a04d-d682-4a41-917b-a8e4c1feecd1 · outbound
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Reference 78
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Observation a22b90e4-3f35-4165-8489-570cfa65064d · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents arXiv preprint arXiv:2511.18491 , year =
Reference 79
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Observation 44199887-95a3-4403-b665-af61c1d84a11 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature , volume =
Reference 80
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Observation 240469f4-8160-449b-8357-651204248943 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature , volume =
Reference 81
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Observation e0bde585-f68a-4e08-9288-f3a9a7e5aa17 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Medicine , volume =
Reference 82
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Observation cd35f801-4760-4278-a5ea-17ce71bfde78 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Nature Medicine , volume =
Reference 83
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Observation 5c6e3de3-a465-40e3-8d67-dc441c1b39f8 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents JAMA , volume =
Reference 84
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Observation aea814bd-a2cb-4763-af3d-ac003bdb41fa · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents npj Digital Medicine , volume =
Reference 85
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Observation 9d9d1c7a-3ec4-4c60-9e32-e9356c140530 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents JAMA Network Open , volume =
Reference 86
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Observation c6c3f53f-d6c6-40ff-8e58-005d6c899190 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents and Haber, Nick , booktitle =
Reference 87
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Observation d3ab3876-fa6a-44f1-8a0b-f4ccc7ee767c · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents FHIR-AgentBench: Benchmarking
Reference 88
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Observation 8c1426ff-2c85-4654-b9c8-6801953e1ae9 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents Holistic Evaluation of Large Language Models for Medical Tasks with
Reference 89
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Observation fc251de3-d568-45e1-9bb0-3ab4d26b4773 · outbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents gpt-oss-120b & gpt-oss-20b Model Card
Reference 90
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No inbound Pith citation observations are available.