Paper Citation Record · LEDGER

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2502.11211.

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

pith.paper-citation-record.v1
2502.11211 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:18.754401Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d268c457-5503-4dfc-b413-321c3328a715 · inbound

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models cites this paper.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:20.207982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4843ee6-9108-45df-9a4f-0e7c30b97336 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:57:38.230225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation afe7c8f7-6528-49a9-bfc9-f145344aa52e · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.808725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 973e3025-8c35-4be9-b55c-d6d910715d41 · inbound

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering cites this paper.

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:28.482610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b492438b-2844-43bc-84ef-c19ecdec03fc · inbound

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems cites this paper.

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:02.544591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c307ebe0-7810-45c5-9105-549af11d135c · inbound

AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents cites this paper.

AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:58.088909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a830de3d-18c7-42a3-b5fa-c0fcd3fd0d25 · inbound

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy cites this paper.

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:00.982468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfca565c-7709-4e3c-a98b-d13ed76938e1 · inbound

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents cites this paper.

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:07:39.512932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8dd95f5c-35e3-49b7-8b1e-ba7ea239c932 · inbound

Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes cites this paper.

Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:37:04.013507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f531e57-b8e4-45ef-b85f-2476bf26715a · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 286

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:42.331845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c76205a-93c6-4e46-8651-54909115ac49 · inbound

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study cites this paper.

Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T20:37:21.184502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ae344a-6c92-412a-8bb4-9170aee51dec · inbound

Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis cites this paper.

Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:03:08.541398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 602f1f39-8403-4a6c-a77d-687d70e830d6 · inbound

EviSearch: A Human in the Loop System for Extracting and Auditing Clinical Evidence for Systematic Reviews cites this paper.

EviSearch: A Human in the Loop System for Extracting and Auditing Clinical Evidence for Systematic Reviews A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:08:21.458712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89fc223d-2962-413c-b83a-58408c719fb2 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:51:03.796157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62ddc5b0-8546-4174-95c8-15d66ad8cf5a · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:33:55.730990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15ab01de-c6ec-456a-b5fa-f4d14de3a9c0 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 155

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:47:59.382262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c51d0720-7022-4ba3-9753-e1b8917f5eef · inbound

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis cites this paper.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T22:43:12.028392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0591b254-caa1-494a-b398-26d2c6ffc6a0 · inbound

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning cites this paper.

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:18.754401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.