Paper Citation Record · LEDGER

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.18530.

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

pith.paper-citation-record.v1
2505.18530 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:30.188050Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy6
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18bf10d5-2539-4e21-b465-2adc9bda9c91 · outbound

This paper cites an unresolved cited work.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:32:31.392780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 356cae05-aaa9-4341-be37-90557e6eca53 · outbound

This paper cites Generating Radiology Reports via Memory-driven Transformer.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Generating Radiology Reports via Memory-driven Transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.093387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3866c71a-4cad-4ef4-9039-ccdb2c419f46 · outbound

This paper cites Journal of the American Medical Informatics Association 23(2), 304–310 (2016).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Journal of the American Medical Informatics Association 23(2), 304–310 (2016)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:31.272357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5d36630-a728-4c2b-9706-1050ca66034e · outbound

This paper cites Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.249615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c3e4940-9bcc-4639-86d2-6ca39e7d34bb · outbound

This paper cites In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:31.123205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2b7ef76-410b-4925-8b4f-bedf1a9778ec · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.393348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0277f525-a062-4a16-b66e-986953d88b85 · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:31.034167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2bf430a-ae45-4a6c-b81c-7dcb49e9a5a8 · outbound

This paper cites MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs MMedAgent: Learning to Use Medical Tools with Multi-modal Agent

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.523566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9c620b-8804-4605-abb4-87c3d8e1b0f2 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.579389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5a7349-bde9-4495-8742-449313288c75 · outbound

This paper cites EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:29.688141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e13d1c-423e-4960-8192-8070a0d84df3 · outbound

This paper cites an unresolved cited work.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:32:30.858938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46f57d53-f65c-4ffb-91da-61f2722a97d4 · outbound

This paper cites Aca- demic Radiology 31(12), 4823–4832 (2024).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Aca- demic Radiology 31(12), 4823–4832 (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:30.773131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

This paper cites MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8dec11-3cf4-47af-a647-1541741e5185 · outbound

This paper cites Science China Information Sciences68(2), 121101 (2025).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Science China Information Sciences68(2), 121101 (2025)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:30.651870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5cc73e3-aae7-447a-864e-72a608777f4f · outbound

This paper cites Medical Image Analysis 86, 102798 (2023).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Medical Image Analysis 86, 102798 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:30.533963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fbec23a5-8a62-4dad-a817-fcc42d71f661 · outbound

This paper cites Medical image analysis80, 102510 (2022).

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Medical image analysis80, 102510 (2022)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:30.052499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c31ba8-19c5-4f56-b14f-6530023ea862 · outbound

This paper cites an unresolved cited work.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:32:30.431426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 688ecdf4-65f0-4c92-9133-2e96b1da88ef · outbound

This paper cites arXiv e-prints pp.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs arXiv e-prints pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:30.188050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.