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Paper Citation Record · LEDGER

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2311.10537.

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

pith.paper-citation-record.v1
2311.10537 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:03.499932Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.502122Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7391d9e7-54d6-4920-80b0-dfea4728b165 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 239

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arxiv_id, observed 2026-05-19T20:28:39.075958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:1ab3446823eda585d4035898abd45f7126fdf83cfbe6f04b302d07ccbc4c663a

Observation 8bed6d0b-28fe-47b1-9d10-87fa795e493f · inbound

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 60

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arxiv_id, observed 2026-05-11T03:43:18.971757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-11T03:43:18.632292Z digest=sha256:0fde7fd4e33575ec28c9217ac5a9b0f3456f79ef71d74eab592da90eff2729d5

Observation 30889a2a-a944-4c7e-8c21-b09aff65f113 · inbound

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments cites this paper.

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 22

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arxiv_id, observed 2026-05-21T13:53:19.603196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T13:53:19.535482Z digest=sha256:7bc4e4dbecf82cafd3e2ebe8e7aa35c5dcef3f4067c2697b4309f46a42bfd8ee

Observation 2eda9d1c-8e5e-4be9-b162-75a826701284 · inbound

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge cites this paper.

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 38

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no resolver link, observed 2026-08-12T17:08:42.020175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:08:42.020175Z digest=sha256:8e9eeacde8f7f355aa76b21965a359decdfb610b671e9d3d7ce56ed139ae6121

Observation 335acf54-2c2d-4546-a69f-ffbf0174affd · inbound

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios cites this paper.

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 30

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source=pdf_text observed=2026-08-12T19:17:19.982061Z digest=sha256:5ac97e4a4910762ffdd02f84c0bdbfb082b97214167b4f9f73d7bfcc033f8439

Observation 1c860525-0cb9-4a01-9464-8ea95bfa9993 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 168

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:31.828850Z digest=sha256:30f438ec6c5a1e35701de16178a125c73009ec5163c77ab89fe11b24e8485146

Observation 0395a881-0e24-44d2-8651-87ceeda849c5 · inbound

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot cites this paper.

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 14

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source=pdf_text observed=2026-08-11T20:54:11.461785Z digest=sha256:e2104b933a9413070899156bcf311e2c4f6ddead028c55bda115d2f8ab946cee

Observation eac56950-409b-4c62-952c-f2aa6c3dd3a3 · inbound

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System cites this paper.

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 16

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source=pdf_text observed=2026-08-11T20:47:34.870778Z digest=sha256:ff5f88bf99ab8a6e10dc7ca7ef8978e5a616751a906784bc35fd0cd971da2941

Observation c589246c-7b61-4f76-bd10-94960fad4699 · inbound

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks cites this paper.

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 50

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:08:18.277962Z digest=sha256:31e457f4ce51df9300c387271d30046b7e7ab25f00eea0849f6bffb10b37f78a

Observation adb752b1-c580-4aaf-a1bd-ee1f05274810 · inbound

Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging? cites this paper.

Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging? MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 16

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no resolver link, observed 2026-08-10T22:10:38.383609Z

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source=pdf_text observed=2026-08-10T22:10:38.383609Z digest=sha256:4b579cb634c6ebb040c18334bf1bb6d04c31377f4cb776c500215413a9faf140

Observation ae85fae1-ddce-4d37-9244-2418accab4e5 · inbound

Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens cites this paper.

Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 27

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no resolver link, observed 2026-08-10T22:37:26.952612Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:37:26.952612Z digest=sha256:ad085924df11fb599cd1ea08d45ede1b7dd0e073e0bba966e576badfc37f0b64

Observation 70da3ba6-e6a5-40c0-ace3-b3ad37863da9 · inbound

Advanced Machine Learning Techniques for Social Support Detection on Social Media cites this paper.

Advanced Machine Learning Techniques for Social Support Detection on Social Media MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:08.292940Z digest=sha256:73bb4cd5bb760f146da7776cfe0a666ad28d21d80d0be134b93393e319059e03

Observation 267f0e0c-3ddd-4e5e-88d1-5850739a0fb4 · inbound

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models cites this paper.

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 27

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no resolver link, observed 2026-08-10T22:49:32.035439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:49:32.035439Z digest=sha256:96edb2cd424b47ca8d10e5b3ffa6536eb1b34e40b36802b58e1942b6b25d13eb

Observation 510490fd-8ef7-49b0-88ff-cb848a05215c · inbound

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators cites this paper.

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 30

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no resolver link, observed 2026-08-10T20:03:00.323825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:03:00.323825Z digest=sha256:53c54ae932ae687d36c9caf4f9aabca5bf18b0ac89b2befb38b9d035910ebb74

Observation 94c9f97c-95ad-42ab-bdb7-f480f75f5ea8 · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 35

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no resolver link, observed 2026-08-08T13:08:22.930749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:08:22.930749Z digest=sha256:8ac6a7e33b03ad4b3a69f61f51f1057b35ef0e2dcd8dc5ad2e719ede90765f59

Observation cd419206-f8af-48aa-b062-3803165b8319 · inbound

KIMAs: A Configurable Knowledge Integrated Multi-Agent System cites this paper.

KIMAs: A Configurable Knowledge Integrated Multi-Agent System MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 27

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no resolver link, observed 2026-08-07T20:57:48.629776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:57:48.629776Z digest=sha256:b2333f4b387802d1ecf5182372f9b2d94eb047cde03b31ca85f6caca31ae8852

Observation a7f31c62-c311-474e-a103-f30101371211 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 78

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arxiv_id, observed 2026-05-22T21:52:10.172344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:eb11da3b6034c09fcd2ea468de30da4b0886ae3a6c34856b99f1af44fc115821

Observation 58d51ea6-f4be-4ffd-9947-df2ff0f34a10 · inbound

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models cites this paper.

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:17:03.499932Z digest=sha256:554a4d1f9226c011213f365ad632eb786471cf9982dc7aef86f13d29aec696b6

Observation 350331d0-d79b-426d-8e6a-39d7ccb15f35 · inbound

A Multimodal Multi-Agent Framework for Radiology Report Generation cites this paper.

A Multimodal Multi-Agent Framework for Radiology Report Generation MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 52

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source=pdf_text observed=2026-08-15T21:27:06.508673Z digest=sha256:7493b7eeebb8e3c2875d44a8088309a1f24820ba4feb6eb3b2e209a9d1d170ff

Observation dd26d2b8-5d0a-4f3a-a394-27425b80ae7e · inbound

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy cites this paper.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.740283Z digest=sha256:e5b1241e98ba67cc6fc5cb1a512bd34f34272c0049c5e730c2b84a7febe25b70

Observation 9d7bc3ff-1ef2-457a-84ff-56a75a2bf7ce · inbound

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification cites this paper.

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 34

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no resolver link, observed 2026-08-07T14:39:47.977667Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:47.977667Z digest=sha256:5b96ec4cd7bdc4b9dea59d8220aa3dcf4705c1c2e492324138059e9e94cd696a

Observation e3b0bd17-9577-4f4a-a341-41291e66ec3b · inbound

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs cites this paper.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 13

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no resolver link, observed 2026-08-07T14:32:29.876716Z

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source=pdf_text observed=2026-08-07T14:32:29.876716Z digest=sha256:2af425012daa23fae8a58fa365328b9b670d5d4724836ca1155922dfc074e765

Observation 12cd07cb-e8ef-41d0-8218-c3d2b9f698c2 · inbound

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making cites this paper.

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 40

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no resolver link, observed 2026-08-07T13:33:41.669878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:33:41.669878Z digest=sha256:5fd235865bf0e3767d4d96e40502177748d66a0e08a5d391231537aae2cf7054

Observation 6226bf2a-f805-4095-a318-d172b6807443 · inbound

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 14

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source=pdf_text observed=2026-08-07T13:16:20.679329Z digest=sha256:77d4f101c918c36ad0e8534f01b8b005b046fca3983644421755ef4e53491515

Observation 14466ac8-9878-4c1c-8ec1-9d51fd19c5cc · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 10

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arxiv_id, observed 2026-05-19T11:32:17.320569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:754b13b75a2892345f430323d100f782168567caacc53d44a1598618793f6029

Observation 1dbfa110-e324-4505-8d4a-c02a5164feda · inbound

Abstract Counterfactuals for Language Model Agents cites this paper.

Abstract Counterfactuals for Language Model Agents MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 32

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source=pdf_text observed=2026-08-07T11:25:04.329338Z digest=sha256:b3e54648606d05db88e1e43f8614f101a6a5e1a84a36a2669bab20ac5ce674b3

Observation c347ecf9-9d23-48c6-8514-f1e673763749 · inbound

AI Agent Behavioral Science cites this paper.

AI Agent Behavioral Science MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 149

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source=pdf_text observed=2026-08-07T11:00:53.973437Z digest=sha256:75d0aff55592d2bbf14284c1e706207c49cbf79507b918a59b1076b601ede907

Observation a865206c-c21b-431c-aefc-b0884185c85f · inbound

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems cites this paper.

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 28

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source=arxiv_source observed=2026-08-07T00:31:11.081453Z digest=sha256:369e51120b1ae3f2564198691efe9742127f3e795e6d1f9b561da596158406cc

Observation 83f2f807-ed56-44be-a71e-668e99f7219c · inbound

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction cites this paper.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 19

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source=pdf_text observed=2026-08-15T18:53:32.541935Z digest=sha256:fd673fb134be2db0b4a7db5145a151b3b5934722b9f83a398fc66da7b1d4fb85

Observation ba3cccdb-6fc6-46a2-badb-a34bf3b706e0 · inbound

DynamiCare: A Dynamic Multi-Agent Framework for Interactive and Open-Ended Medical Decision-Making cites this paper.

DynamiCare: A Dynamic Multi-Agent Framework for Interactive and Open-Ended Medical Decision-Making MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 40

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:47.497886Z digest=sha256:0e05cb1cb955d845bde39e89c94b1a8084c6bafc78f9263f026ac894db53a09a

Observation 758626e7-02a4-45b1-8ea9-3efac479e8bf · inbound

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis cites this paper.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.515770Z digest=sha256:e3f125544f3c2efcd764739318b05da47be852651183cd7615995eff163f4f6b

Observation c4047a48-1aa1-4670-ac6d-3ec1b897857e · inbound

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning cites this paper.

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 39

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no resolver link, observed 2026-08-06T15:17:59.470465Z

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source=pdf_text observed=2026-08-06T15:17:59.470465Z digest=sha256:88cc1600a5f65e7126124cbd96df9c84bd38ee2fe9d19f36a0e3d9b33b033bca

Observation 3a113a72-bc2c-4348-b098-dfa0b51f79d2 · inbound

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making cites this paper.

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 33

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verified exact
arxiv_id, observed 2026-05-19T03:12:56.618081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T03:12:23.075137Z digest=sha256:c16206b92c3fc2c9a30327648a58db88d7ff225d7db45a9dacd7895d488d54bc

Observation fbf8e138-952f-46cb-bb32-9113f6fa852b · inbound

eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases cites this paper.

eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 45

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no resolver link, observed 2026-08-15T16:59:15.844724Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:59:15.844724Z digest=sha256:6bda74454a5611ebae87fc3727a2d8b8c61b8d598d106e98b903a991be3f8a61

Observation 3cb5697e-cea7-4fca-8936-27bc01d45e1a · inbound

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs cites this paper.

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-18T21:36:52.374799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T21:34:51.665401Z digest=sha256:ae6fbfe01086bc59f9c03d116eb57e5272126518f60098ba9bb2274dd2dd1585

Observation 150f756e-9e3d-4476-865a-28f3255244cf · inbound

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T00:16:18.764868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:16:18.764868Z digest=sha256:74b4dcaa49d45ec56b34f4dd3c4b946dbed67b26fdfecbce662d17b83dd79b37

Observation c38a900f-587f-4883-9254-5c25358d9cfc · inbound

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition cites this paper.

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:31:00.592272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:08:12.783074Z digest=sha256:d5cdd14c4351b453f8309380439e8129ed086b29fdf3821eed9e25b1f0aaa9de

Observation 9425ec4d-d8fb-4181-b95b-3046a3d3e54d · inbound

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning cites this paper.

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:41:04.005725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T15:52:43.274993Z digest=sha256:849229a9f58c5372e20bcb68e1939071b255beaf3ba76b7f4ad5fb56fd6a9ba9

Observation 790c435a-3562-4c3f-949f-3fa0f20431f8 · inbound

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:30.544623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T04:07:33.610288Z digest=sha256:e4bdd38548e541b8dfc2006399a2baebe690b985be2950c1d1c7e4dca8dc7608

Observation 25d655f0-d255-46dd-ae46-b923caaab091 · inbound

Evaluating Large Language Models in Dynamic Clinical Decision-Making with Standardized Patient Cases cites this paper.

Evaluating Large Language Models in Dynamic Clinical Decision-Making with Standardized Patient Cases MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.205728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:33:50.348031Z digest=sha256:5e3d275bd56b4fab66c69aeeef5aee0c53419ac5211af711fb50dfdd6355f44d

Observation d50979a6-6ce4-454c-8ff8-da78b079a06c · 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 MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 160

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:47:59.608477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:60e0292c627e3e09480f8b43ab8f9ad9da7d962852b2b746cc7445c153640c04

Observation c75ff828-8a69-461a-bad8-31783337c2c5 · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.952887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:585e41d417a0bb2a5bcfec274b63ab347dfcd467a964ad16f3e1a4963ffe5157

Observation 8dff8853-69a7-43c9-a5f6-a8f7e3638b8b · inbound

From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b cites this paper.

From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-08T05:24:31.801275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T05:22:50.462331Z digest=sha256:454854cc56df7e8ccc907894feb4b66415d5527dd8738b66a29f6658133748ba

Observation d76f0a93-0e45-4720-9870-f44a312c1832 · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 143

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.503787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-10T18:50:22.827472Z digest=sha256:c04d77ced869506bf7aa5cbb6d55bfd3ff9a74855e09f61caadd42c66f4a83ca