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Paper Citation Record · LEDGER

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.13476.

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

pith.paper-citation-record.v1
2608.13476 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:11:28.514734Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy2
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ba09f5d-bb4d-4af0-b2e4-e78c663ee47f · outbound

This paper cites Perelman School of Medicine, University of Pennsylvania 3.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Perelman School of Medicine, University of Pennsylvania 3

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:11:29.136581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.391319Z digest=sha256:f1fae9e0161f6b73e34503d0329c7e6c6bd637cb7866c54d2526d1a67ac561e2

Observation f3e3816c-07a3-4daa-b9b5-fb806d96d0c7 · outbound

This paper cites an unresolved cited work.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:11:29.122945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.396481Z digest=sha256:eacf9c03d761262a113bfa4674d2188bbc34157dbb2ef6500023fcb0de88683f

Observation 8efb8346-9fce-4c3b-b2d6-ce1e80af36af · outbound

This paper cites an unresolved cited work.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:11:29.108624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.401426Z digest=sha256:d4d486749c11c40073c2f79cb1c627b4be7501af6eb99318bb08284e3e434669

Observation 5da6abec-0de1-4096-a03a-b7aafa1c79dd · outbound

This paper cites Three representative use cases illustrate the framework's flexibility.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Three representative use cases illustrate the framework's flexibility

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:11:29.095441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.406586Z digest=sha256:f4f9c1bde21948b64f2c240eb791dd78a6e70e0c60ecfa2501aae10152ad3e59

Observation a5e02ec7-0e76-475c-944a-c0b82662e79c · outbound

This paper cites an unresolved cited work.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:11:29.080577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.411039Z digest=sha256:77248c953cbe3872a4568fb4ee550485462cc3e79d528c4619e7cd4836ba3227

Observation 3537b3ac-e08b-4ddd-977a-6d6e1c88c65a · outbound

This paper cites an unresolved cited work.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.415604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.415604Z digest=sha256:bbbd284fb3b5c2bf36fb7fd1c7549bc3ad2039f6c2c909c361b6d5cbba1d499b

Observation 346c65ef-4835-4543-b685-812f7fd42317 · outbound

This paper cites Toward Expert-Level Medical Question Answering with Large Language Models.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Toward Expert-Level Medical Question Answering with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.420108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.420108Z digest=sha256:3dfbb0e3c943c76c3e4ff00f2dbb721571d292a6bec57705fa50f6c28e06947a

Observation e119e164-87e6-4629-aa4d-f42c596d42ce · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Capabilities of GPT-4 on Medical Challenge Problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.424493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.424493Z digest=sha256:b2f929f5bc2cd2f6e4387d1e33326f0b7db5a1d7d6fe9f20d2397b4828fa87a2

Observation e9cde33e-a8d1-468c-a681-8c813a86cbb0 · outbound

This paper cites MedGemma Technical Report.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination MedGemma Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.429372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.429372Z digest=sha256:9155c86a82ddf60ea6f443240f2c284f7d9c431344ededc49b5400831a4b5f3d

Observation e3991c53-0f39-484c-83e5-1e759b5b0d6f · outbound

This paper cites Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.435205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.435205Z digest=sha256:751337f570f7c44ad1b846fcff4a21a0e21ff9fd56a47169ae4b8aa0d1826764

Observation 77038305-33ff-4ec8-8a58-2e97109f05ea · outbound

This paper cites Capabilities of GPT-5 on Multimodal Medical Reasoning.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.440157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.440157Z digest=sha256:f7b8601d5401de5b0314265e7359f72436baf251ee47cd93d96d8e0d308814ba

Observation a0521672-29de-4a59-ada2-a99ffed39d02 · outbound

This paper cites A Scoping Review of Large Language Model Based Approaches for Information Extraction from Radiology Reports.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination A Scoping Review of Large Language Model Based Approaches for Information Extraction from Radiology Reports

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.446102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.446102Z digest=sha256:3223e86bc3330a98a740fbef812a37e683cd19112b1f551d10f27ba751ccaf24

Observation 958a0d01-3dd5-40fb-92dc-59bcc0280939 · outbound

This paper cites Weakly Supervised Language Models for Automated Extraction of Critical Findings from Radiology Reports.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Weakly Supervised Language Models for Automated Extraction of Critical Findings from Radiology Reports

Reference 13

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.797639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.450454Z digest=sha256:5dbf5a601571eedd4cc6ff6bc729f302edfffba0f4989bf916eaa905945cc7bc

Observation e0aa8160-f30b-47c4-aaa4-f086f0e3307b · outbound

This paper cites Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports

Reference 14

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.783705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.454665Z digest=sha256:15b9d4d039f0708bec30dde0da66ab22a27feb631523625e409f20810e68e1ea

Observation d6390700-a648-4300-8ce3-49610bb2da22 · outbound

This paper cites Evaluation of Large Language Models in Generating Pulmonary Nodule Follow-Up Recommendations.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Evaluation of Large Language Models in Generating Pulmonary Nodule Follow-Up Recommendations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.458888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.458888Z digest=sha256:bb0e5cf7f0867b682fd7ed10b8608eb4ed0101b88184c511d0557c817478cc9a

Observation 7118c57e-8a47-40ef-a8ad-267d5c87baeb · outbound

This paper cites Large Language Models for Structured Reporting in Radiology: Past, Present, and Future.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Large Language Models for Structured Reporting in Radiology: Past, Present, and Future

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.463069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.463069Z digest=sha256:6ea4a7c53ae20bc399f1257583e3596551d2ec21d8d78fbc324ea79f1565ed9e

Observation d117b693-6842-4fe3-a20d-da5533bee838 · outbound

This paper cites Best Practices for Large Language Models in Radiology.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Best Practices for Large Language Models in Radiology

Reference 17

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.760537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.469609Z digest=sha256:503edca95ad55239be7f38a910f2713a1c488d0f997456c3614819e30a2b8fdd

Observation c4edd3ad-e1f9-4296-9d04-2f877bfc6397 · outbound

This paper cites Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning

Reference 18

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.746307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.475016Z digest=sha256:e5c3d1672da9f7335f278101f1a867375b9b5e516d2221a0f5e4faa56034582e

Observation 5b5a43f6-5000-48e8-8f17-a8cf6bc43339 · outbound

This paper cites Multi-Step Retrieval and Reasoning Improves Radiology Question Answering with Large Language Models.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Multi-Step Retrieval and Reasoning Improves Radiology Question Answering with Large Language Models

Reference 19

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.731370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.479034Z digest=sha256:de5538106edc064162c4eac42fcb57ab1325c470d4d6126408c6be76b9bfb358

Observation d7af8424-8e53-49f3-87d5-cf96a40081fc · outbound

This paper cites Agentic Systems in Radiology: Principles, Opportunities, Privacy Risks, Regulation, and Sustainability Concerns.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Agentic Systems in Radiology: Principles, Opportunities, Privacy Risks, Regulation, and Sustainability Concerns

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.483567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.483567Z digest=sha256:a8a0beed49527944ecb3ec91e875cc632e57793c3d439c2957ae30075c9b9448

Observation 2a641f92-d7d2-4ca8-8084-5261cd31cd20 · outbound

This paper cites Agentic AI in Radiology.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Agentic AI in Radiology

Reference 21

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.602103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.488791Z digest=sha256:79bd02756e8bdd089ac4e9a34a4dc2d7b20a7c2e139acea2b798510f74c24591

Observation bbc5008f-26ce-4879-9e29-9e36ae3a6e8e · outbound

This paper cites Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.492803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.492803Z digest=sha256:12817e9e81c96275b8fe970a08c23bcab1d4a51437287c80bbe11b4ebe686781

Observation 75a80fa1-8f9e-4ade-a94f-81f3382735a7 · outbound

This paper cites Uncover This Tech Term: Agentic Artificial Intelligence in Radiology.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Uncover This Tech Term: Agentic Artificial Intelligence in Radiology

Reference 23

Resolution
verified exact
raw_fallback, observed 2026-08-14T10:11:29.002075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.496829Z digest=sha256:9137d5fc7285fbc4107c8722716c670c32134250422036956b6b8a52931385dd

Observation a256426a-3472-4218-a48a-4365a4569b01 · outbound

This paper cites Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration

Reference 24

Resolution
verified exact
doi, observed 2026-08-14T10:11:28.578408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.500937Z digest=sha256:be5e5c731105802ed6e439709f97d99ba9af3ec3b6434f2e5a1279930c8b159f

Observation bd9c1064-b1a0-4c6e-9b91-35c2c1a21733 · outbound

This paper cites Generative to Agentic AI: Survey, Conceptualization, and Challenges.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Generative to Agentic AI: Survey, Conceptualization, and Challenges

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.505199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.505199Z digest=sha256:f4fa0ee7c33d098324fcd4be324acff975534fc56577e4210254a79d55727c02

Observation cfa155c0-dc27-4faa-ae0c-15552da4bc85 · outbound

This paper cites RadFabric: Agentic AI System with Reasoning Capability for Radiology.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination RadFabric: Agentic AI System with Reasoning Capability for Radiology

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T10:11:28.509771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:11:28.509771Z digest=sha256:158d0089ce30b605abbd5afdc6d96d846efc1f6b9b1403caf69d1477609852ad

Observation 5b5e56d5-5333-4e67-9248-f267f6ca1cc5 · outbound

This paper cites Retrieval-augmented generation in medicine: A scoping review of technical implementations, clinical applications, and ethical considerations.

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination Retrieval-augmented generation in medicine: A scoping review of technical implementations, clinical applications, and ethical considerations

Reference 27

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T10:11:28.932453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:11:28.514734Z digest=sha256:9851bd53a5c4483a60c9133b3fe203e497108a46e0291f8dd8b0ae1ae2eabd06

Pith citing papers

No inbound Pith citation observations are available.