Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T18:48:30.187936Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2604.20022.
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 2026-07-12T18:48:30.187936Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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
79 of 79 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d88bb868-ae74-4fdc-8301-57e5ba818ab0 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Shortliffe.Computer-Based Medical Consultations: MYCIN
Reference 1
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Observation ea9db12d-0d24-4e4e-9eb6-a4c90200ca2a · outbound
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Reference 2
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Observation b05a9a42-8d17-4af2-b44c-b8b44ea4ebd4 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Miller, Harry E
Reference 3
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Observation fed7b6cb-4b21-4952-8e71-80cece0a4b4b · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Octo Barnett, James J
Reference 4
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Observation dd1a055a-4b98-4a05-be73-7f6e9c362c1c · outbound
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Reference 5
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Observation b98681a0-b00b-48bb-a45b-fb29c2aa1654 · outbound
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Observation f913cb68-562f-49d6-9c30-93c2df66beb4 · outbound
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Observation ba345576-862c-4af5-9503-3e4f01f091f5 · outbound
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Reference 9
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Observation 2cbdc520-c4ed-4322-923d-057ef80f62a5 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support BED-LLM: Intelligent information gathering with LLMs and Bayesian experimental design
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Observation e0f71e39-54b1-4b40-830a-28118a6741f4 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support DeLLMa: Decision making under uncertainty with large language models
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Observation 555ca2d1-0866-4960-ac6b-60090d6f75ad · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support BIRD: A trustworthy Bayesian infer- ence framework for large language models
Reference 12
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Observation bda893d1-a33e-44cf-9818-6e3ad73b8d10 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Ask patients with patience: Enabling LLMs for human-centric medical dialogue with grounded reasoning
Reference 13
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Observation 8ea8d9b4-0059-47bc-bf7e-513eae2dadf3 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Ilgen, Emma Pierson, Pang Wei Koh, and Yulia Tsvetkov
Reference 14
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Observation 3ea5c80b-ca04-421e-800a-8440b6a0dd5d · outbound
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Observation 40eae809-e266-4fb7-a329-3518e1b84eae · outbound
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Observation 3f53a849-5d9f-4f75-b030-f0d9dadcfcb9 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Fung, Dilek Hakkani-Tür, and Tarek F
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Observation fd230b38-a5b8-47dc-9b88-185db14b2928 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Fine-tuning LLMs with medical data: Can safety be ensured?NEJM AI, 2(1), 2025
Reference 18
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Observation ae2eca18-6cb9-466a-a3d3-17773e9471a6 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Yu, Lawrence M
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Observation 8e077be3-75d1-4535-a60e-a57e494c5d09 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Weiss, Casimir A
Reference 20
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Observation 30bfa993-cf82-40af-bbff-cd8b747e3004 · outbound
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Observation d97e4f83-fa46-4480-8aa5-67c430f3dc04 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Reasoning like a doctor: Improving medical dialogue systems via diagnostic reasoning process alignment
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Observation 8ad8203f-76fb-4e2c-8a10-524365375eac · outbound
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Observation a53ed259-7189-4f53-a16b-2f873aa7a1c7 · outbound
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Observation 9bc8e0fd-d307-41ed-b550-6a8c9f7d8490 · outbound
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Observation 9f32d627-0ee7-478b-888c-7bd766503e18 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Collins, David Reich, Robert Freeman, Nicholas Gavin, Alexander Charney, Lisa Stump, Nicola Luigi Bragazzi, Girish N
Reference 26
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Observation 032e6d55-669e-4fae-b291-8b5c2d268a3f · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Omiye, Jenna C
Reference 27
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Observation d0b3829e-ea27-4b23-99be-1a9e2ff287f5 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F
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Observation a3a5303b-f825-49a8-bca3-ef3bc791b7c0 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
Reference 29
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Observation 6af3261e-3de6-4dfe-9c85-0e175e6637bf · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Uncertainty of thoughts: Uncertainty-aware planning enhances information seeking in LLMs
Reference 30
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Observation 175c7975-ee2e-470a-b6ce-f3c6470025ee · outbound
Reference 31
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Observation 69706205-ebf7-4a2f-9900-efe699a3ae55 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Fleet of agents: Coordinated problem solving with large language models
Reference 32
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Observation bcdffd9f-9da6-43d5-ab31-787fe47652e1 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support CoD, towards an interpretable medical agent using chain of diagnosis
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Observation 86ffcc04-18e7-4fc1-b451-a660809a0e83 · outbound
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Reference 34
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Observation 8c3c681e-1226-41fd-a566-8ccb1814c70b · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support DDXPlus: A new dataset for automatic medical diagnosis
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Observation 94b4b690-76ce-4884-85ca-0955143e1805 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Hoch, Kumaran Baskaran, Harrison Burr, John Chin, Hamid R
Reference 36
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Observation cf047e23-65d5-4d2a-b5d3-97b5bc13fe79 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Morgan Kaufmann, 1988
Reference 37
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Observation fb5c0486-6114-482d-b69b-52c14e87eebf · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support On the revision of probabilistic beliefs using uncertain evidence
Reference 38
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Observation 2d12cb50-9c38-42c7-8154-e44864f0b4d9 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Bayesian network classifiers.Machine Learning, 29(2-3):131–163, 1997
Reference 39
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Observation 6f7e187f-f7f8-4fa0-a6d2-aaffab6166d4 · outbound
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Reference 40
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Observation f6ac3598-4940-487f-89a2-a4663c93fb35 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Sum-product networks: A new deep architecture
Reference 41
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Observation 90ef450c-ca83-42a4-b329-5a248ab9e9a5 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Language Models (Mostly) Know What They Know
Reference 42
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Observation e92502bd-7483-4abd-9245-05630ea8906d · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support AgentClinic: A Multimodal Benchmark for Tool-Using Clinical AI Agents.npj Digital Medicine, 2026
Reference 43
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Observation 72452e8e-7d4d-47d9-a311-5fb6faaeb5a5 · outbound
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Observation 3bec45f6-9f3c-44d5-a576-5797670981a6 · outbound
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Observation c250257b-ae60-4e4b-91f6-5c15c80d7313 · outbound
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Reference 46
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Observation adb3bac0-5307-40f4-a590-4f9b56acd803 · outbound
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Observation c0cc4d0c-65ec-4153-8df7-33aaeb9139a5 · outbound
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Reference 48
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Observation 07fc8b0f-c41c-4c3d-bbff-b2fd9456e179 · outbound
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Observation d83dd156-f441-4fc9-a796-87bc591cd923 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Cache saver: A modular framework for efficient, affordable, and reproducible LLM inference
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Observation 327119f2-6068-4c0a-b752-cef824739f28 · outbound
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Observation 7ab59ec0-8b33-4ce5-b5f4-ab9efd32697d · outbound
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Reference 53
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Observation bd4f2bb3-4a55-4e1d-be83-4e47d359cc10 · outbound
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Observation 1df258d9-aaba-457a-b2a1-c64f97bb2edf · outbound
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Reference 55
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Observation ca9b2ed3-a310-4789-b476-172a08625dec · outbound
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Reference 56
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Observation d5845c21-37ab-4402-b81a-7e39aba2926a · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support I think I had a fever
Reference 57
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Observation 0a01ae3b-3d2d-44a3-b4bf-7d4fff975566 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support The patient might have an infection… I should ask if he has a sore throat
Reference 58
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Reference 73
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Observation 114c602d-01c2-4cfe-9899-5a46969a5264 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support If none match, output "Unknown"
Reference 74
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Observation 304e037c-0ff7-422f-bc0a-bd58e4bec386 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support If a candidate cannot be mapped, output "Unknown" for that slot
Reference 75
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Observation 934b3978-0056-4b5d-a2bc-8d79ec5d3c4b · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support We then measure the posterior gap between the oracle’s top-1 and top-2 diseases
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Observation 5d135b6a-4d4d-4818-988b-035d8c0c22c3 · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Two subtypes: • False Positive (FP): the engine asks about a featureabsentfrom the patient’s ground-truth profile; the pipeline returns yes
Reference 78
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Observation 2f46566a-f9fc-4d60-bd24-e8c62d8c552f · outbound
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support I have chest pain even at rest, upper chest pain, and pleuritic chest pain
Reference 79
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