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Paper Citation Record · LEDGER

Toward Trustworthy Large Language Model Agents in Healthcare

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.05055.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.05055 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T09:29:31.521623Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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Outbound references

Observation 5b081a1b-86f6-44f9-841c-e84424942c6c · outbound

This paper cites Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative ai,.

Toward Trustworthy Large Language Model Agents in Healthcare Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative ai,

Reference 1

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Observation 4cdf0811-c5a7-41a5-95bb-2371d2e0da9d · outbound

This paper cites Large language models encode clinical knowledge,.

Toward Trustworthy Large Language Model Agents in Healthcare Large language models encode clinical knowledge,

Reference 2

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Observation c72ea5e8-9fcb-48fe-b312-217cd29fc4cc · outbound

This paper cites Towards conversational diagnostic artificial intelligence,.

Toward Trustworthy Large Language Model Agents in Healthcare Towards conversational diagnostic artificial intelligence,

Reference 3

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Observation 292b8c9a-bbfd-4729-81a0-eeeca18aea4f · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Toward Trustworthy Large Language Model Agents in Healthcare Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 4

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Observation 4b1f3762-96a9-479a-b060-88a8f0755022 · outbound

This paper cites Large language models in medicine,.

Toward Trustworthy Large Language Model Agents in Healthcare Large language models in medicine,

Reference 5

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Observation 6f5179a2-d066-4435-b971-b90775afce05 · outbound

This paper cites Benchmarking retrieval- augmented generation for medicine,.

Toward Trustworthy Large Language Model Agents in Healthcare Benchmarking retrieval- augmented generation for medicine,

Reference 6

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source=pdf_text observed=2026-07-11T09:29:31.521623Z digest=sha256:40e9a4970fe34117cabdb5c6f6b8a02683a55ca5bc70729d4d114b04dfd0f7dd

Observation abe18165-3095-4dcc-a09b-7e0a003fd707 · outbound

This paper cites Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot,.

Toward Trustworthy Large Language Model Agents in Healthcare Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot,

Reference 7

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Observation c835021f-6eec-4060-b6de-a4b5beac8b2b · outbound

This paper cites Toward expert- level medical question answering with large language models,.

Toward Trustworthy Large Language Model Agents in Healthcare Toward expert- level medical question answering with large language models,

Reference 8

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Observation 1f43bc8b-71ca-4b74-9611-b556457b99f0 · outbound

This paper cites Ai agents in clinical medicine: a systematic review,.

Toward Trustworthy Large Language Model Agents in Healthcare Ai agents in clinical medicine: a systematic review,

Reference 9

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Observation d75b3bf5-64be-46bf-9354-e5050b8fe340 · outbound

This paper cites Kag: A scalable knowledge-augmented generation system for educational content man- agement,.

Toward Trustworthy Large Language Model Agents in Healthcare Kag: A scalable knowledge-augmented generation system for educational content man- agement,

Reference 10

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Observation ec75d163-6c9d-4f36-a2bf-b0c146821f98 · outbound

This paper cites Retrieval-augmented generation for generative artificial intelligence in health care,.

Toward Trustworthy Large Language Model Agents in Healthcare Retrieval-augmented generation for generative artificial intelligence in health care,

Reference 11

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Observation 95321ea7-a87b-4868-8a68-e7accf5576da · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Toward Trustworthy Large Language Model Agents in Healthcare React: Synergizing reasoning and acting in language models,

Reference 12

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source=pdf_text observed=2026-07-11T09:29:31.521623Z digest=sha256:8882e0459b047e27aaa9dbc449fe7ed7aff8fb82f297f37696c3912433ad22d1

Observation ace65078-e5e8-4d70-bbd7-b6578dd50991 · outbound

This paper cites Function calling and other api updates,.

Toward Trustworthy Large Language Model Agents in Healthcare Function calling and other api updates,

Reference 13

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Observation 3d399c4b-a4c4-46be-87ae-bded043ea84a · outbound

This paper cites Emergent Abilities of Large Language Models.

Toward Trustworthy Large Language Model Agents in Healthcare Emergent Abilities of Large Language Models

Reference 14

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Observation 45302af6-6c34-4a67-8f66-da42f8e38b0b · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

Toward Trustworthy Large Language Model Agents in Healthcare Toolformer: Language models can teach themselves to use tools,

Reference 15

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Observation 04d7394c-0f32-44b9-80a4-00dfde4a2269 · outbound

This paper cites Prime guardrails: A general, low-latency safety framework for generative ai,.

Toward Trustworthy Large Language Model Agents in Healthcare Prime guardrails: A general, low-latency safety framework for generative ai,

Reference 16

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Observation 6ea82d24-66da-4c15-bcef-33258657ef7c · outbound

This paper cites Guardformer: Guardrail instruction pretraining for efficient safeguard- ing,.

Toward Trustworthy Large Language Model Agents in Healthcare Guardformer: Guardrail instruction pretraining for efficient safeguard- ing,

Reference 17

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Observation 9c16f1a7-a7ea-4150-8f30-a917528f9b5e · outbound

This paper cites Standardizing and scaffolding healthcare ai-chatbot evaluation,.

Toward Trustworthy Large Language Model Agents in Healthcare Standardizing and scaffolding healthcare ai-chatbot evaluation,

Reference 18

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Observation a3623410-0ae3-4b50-9321-18a2d8e3c99e · outbound

This paper cites Medagentbench: a virtual ehr environment to benchmark medical llm agents,.

Toward Trustworthy Large Language Model Agents in Healthcare Medagentbench: a virtual ehr environment to benchmark medical llm agents,

Reference 19

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Observation 2eb7144e-db48-409d-8dc7-76f5b8ab7e69 · outbound

This paper cites Craft-md: A conversational evaluation framework for comprehensive assessment of clinical llms,.

Toward Trustworthy Large Language Model Agents in Healthcare Craft-md: A conversational evaluation framework for comprehensive assessment of clinical llms,

Reference 20

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Observation 84ed4bea-1eae-43aa-b355-c7aff0c13a76 · outbound

This paper cites Human- robot interaction using vahr: Virtual assistant, human, and robots in the loop,.

Toward Trustworthy Large Language Model Agents in Healthcare Human- robot interaction using vahr: Virtual assistant, human, and robots in the loop,

Reference 21

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Observation 90dfb550-1e87-4378-ad8c-7c2c6fe5aa56 · outbound

This paper cites Improving appointment scheduling efficiency in healthcare call centers,.

Toward Trustworthy Large Language Model Agents in Healthcare Improving appointment scheduling efficiency in healthcare call centers,

Reference 22

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Observation 68ba6b65-153b-4e0b-b579-c15a0aede913 · outbound

This paper cites Occupational employment and wage statistics: Receptionists and information clerks,.

Toward Trustworthy Large Language Model Agents in Healthcare Occupational employment and wage statistics: Receptionists and information clerks,

Reference 23

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Pith citing papers

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