Paper Citation Record · LEDGER

A Multimodal Multi-Agent Framework for Radiology Report Generation

As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 6 inbound Pith citation observations for arXiv:2505.09787.

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

pith.paper-citation-record.v1
2505.09787 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:27:06.559478Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:20:28.220541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.320119Z

Reference resolution

64 of 64 outbound references displayed

verified exact3
verified fuzzy26
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fe67b19-5e77-48a2-9364-2d53bd4716d1 · outbound

This paper cites Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology.

A Multimodal Multi-Agent Framework for Radiology Report Generation Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.448013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc085b98-6102-40c0-8ded-f08885dce139 · outbound

This paper cites A survey on multimodal large language models in radiology for report generation and visual question answering.Information, 16(2):136, 2025.

A Multimodal Multi-Agent Framework for Radiology Report Generation A survey on multimodal large language models in radiology for report generation and visual question answering.Information, 16(2):136, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.432243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6276e26-93d4-4b06-b43b-db9e7f51a5a6 · outbound

This paper cites The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.Academic radiology, 22(9):1191–1198, 2015.

A Multimodal Multi-Agent Framework for Radiology Report Generation The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.Academic radiology, 22(9):1191–1198, 2015

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.417679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 280efd88-f6c4-4db5-b267-9d90424e6a01 · outbound

This paper cites Accuracy of radiographic readings in the emergency department.The American journal of emergency medicine, 29(1):18–25, 2011.

A Multimodal Multi-Agent Framework for Radiology Report Generation Accuracy of radiographic readings in the emergency department.The American journal of emergency medicine, 29(1):18–25, 2011

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.403219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4312438b-3bb5-4902-b5a7-6d2234419944 · outbound

This paper cites What makes multi- modal learning better than single (provably).Advances in Neural Information Processing Systems, 34:10944– 10956, 2021.

A Multimodal Multi-Agent Framework for Radiology Report Generation What makes multi- modal learning better than single (provably).Advances in Neural Information Processing Systems, 34:10944– 10956, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.389064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b6b8195-ced4-495b-977b-b78e804978e2 · outbound

This paper cites Multimodal data in- tegration for oncology in the era of deep neural networks: a review.Frontiers in Artificial Intelligence, 7:1408843, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation Multimodal data in- tegration for oncology in the era of deep neural networks: a review.Frontiers in Artificial Intelligence, 7:1408843, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.374522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 108ec064-aa31-44b2-acb6-80a343ca6426 · outbound

This paper cites GPT-4 Technical Report.

A Multimodal Multi-Agent Framework for Radiology Report Generation GPT-4 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.320048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a21b16-6ba2-414e-aa44-5df1394732ce · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.Meta AI, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation Introducing meta llama 3: The most capable openly available llm to date.Meta AI, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.324807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec1ede8-4171-42dd-a57f-becf5a7cf418 · outbound

This paper cites DALL-E3, 2023.https://openai.com/index/dall-e-3/.

A Multimodal Multi-Agent Framework for Radiology Report Generation DALL-E3, 2023.https://openai.com/index/dall-e-3/

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.351774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34470bea-eb5f-4bda-8f0b-37b835613413 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.332843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8bc9744-c23b-4ead-b8ef-791c14e066f3 · outbound

This paper cites Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.336943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41d41f5-4cf6-4c89-a1c6-0df4b52c3013 · outbound

This paper cites Toward expert-level medical question answering with large language models.Nature Medicine, pages 1–8, 2025.

A Multimodal Multi-Agent Framework for Radiology Report Generation Toward expert-level medical question answering with large language models.Nature Medicine, pages 1–8, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.341318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32dca27d-1f8d-46b2-9847-236cf6e69a7e · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

A Multimodal Multi-Agent Framework for Radiology Report Generation Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.345603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62320bfd-affe-482b-818f-7a49fc37756d · outbound

This paper cites Chemical language models for de novo drug design: Challenges and opportunities.Current Opinion in Structural Biology, 79:102527, 2023.

A Multimodal Multi-Agent Framework for Radiology Report Generation Chemical language models for de novo drug design: Challenges and opportunities.Current Opinion in Structural Biology, 79:102527, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.308320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79a055b7-d408-45ce-8ec1-aa8fe24c5a2e · outbound

This paper cites Using chatgpt to write patient clinic letters.The Lancet Digital Health, 5(4):e179–e181, 2023.

A Multimodal Multi-Agent Framework for Radiology Report Generation Using chatgpt to write patient clinic letters.The Lancet Digital Health, 5(4):e179–e181, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.292301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6ddda77-2756-4406-9c3c-29387575979b · outbound

This paper cites Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

A Multimodal Multi-Agent Framework for Radiology Report Generation Radiology-Llama2: Best-in-Class Large Language Model for Radiology

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.358316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a040deb7-3a85-45a2-9bd1-b25a8322cc24 · outbound

This paper cites Generation of radiology findings in chest x-ray by leveraging collaborative knowledge.Procedia Computer Science, 221:1102–1109, 2023.

A Multimodal Multi-Agent Framework for Radiology Report Generation Generation of radiology findings in chest x-ray by leveraging collaborative knowledge.Procedia Computer Science, 221:1102–1109, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.276567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66dc3c5a-115b-47cc-b18b-916ae6810eca · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

A Multimodal Multi-Agent Framework for Radiology Report Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.367182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bafa5d72-0011-49a2-a75c-92424011c743 · outbound

This paper cites Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.371760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebcf6ab0-c330-4e4f-bfe2-9320138e05a6 · outbound

This paper cites Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.

A Multimodal Multi-Agent Framework for Radiology Report Generation Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.376370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c524b0-1253-4ece-bc32-1aeab25ea927 · outbound

This paper cites Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training.

A Multimodal Multi-Agent Framework for Radiology Report Generation Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.261636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33b8bae3-e641-40f0-90c3-615d6807b84a · outbound

This paper cites Improving medical multi-modal contrastive learning with expert annota- tions.

A Multimodal Multi-Agent Framework for Radiology Report Generation Improving medical multi-modal contrastive learning with expert annota- tions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.247776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1073a7d-f09c-42c8-ab7c-2ef6eee17e23 · outbound

This paper cites Memory-based cross-modal semantic alignment network for radiology report generation.IEEE Journal of Biomedical and Health Informatics, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation Memory-based cross-modal semantic alignment network for radiology report generation.IEEE Journal of Biomedical and Health Informatics, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.232632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a45e4e91-e5c3-40e7-b1ad-688e546ee864 · outbound

This paper cites Vision-language model for generating textual descriptions from clinical images: Model development and validation study.JMIR Formative Research, 8:e32690, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation Vision-language model for generating textual descriptions from clinical images: Model development and validation study.JMIR Formative Research, 8:e32690, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.218187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be7d5c8d-ad6f-4d4e-ad2e-0e16da841be7 · outbound

This paper cites Bootstrapping large language models for radiology report generation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Bootstrapping large language models for radiology report generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.395491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c60baea0-c259-4edb-9b96-8bde069f4cb9 · outbound

This paper cites TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model.

A Multimodal Multi-Agent Framework for Radiology Report Generation TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:27:06.863607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 380ec169-49ba-480f-9f2a-6e29ea3f1460 · outbound

This paper cites Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement.

A Multimodal Multi-Agent Framework for Radiology Report Generation Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.403097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7608937-beb5-467f-a8b4-45d949a7b908 · outbound

This paper cites Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:27:06.829210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dbdb03c4-c217-437a-acfd-b4e2faab85f5 · outbound

This paper cites R2gengpt: Radiology report generation with frozen llms.Meta-Radiology, 1(3):100033, 2023.

A Multimodal Multi-Agent Framework for Radiology Report Generation R2gengpt: Radiology report generation with frozen llms.Meta-Radiology, 1(3):100033, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.412246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c674a2-308d-4a09-bc56-00ec96736afb · outbound

This paper cites XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

A Multimodal Multi-Agent Framework for Radiology Report Generation XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.416467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4dd578b-6f20-43e6-8e35-f53418d959b5 · outbound

This paper cites MAIRA-1: A specialised large multimodal model for radiology report generation.

A Multimodal Multi-Agent Framework for Radiology Report Generation MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.420985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6888a8fd-7ea8-4038-aa29-2f1189a73f65 · outbound

This paper cites Swin trans- former: Hierarchical vision transformer using shifted windows.

A Multimodal Multi-Agent Framework for Radiology Report Generation Swin trans- former: Hierarchical vision transformer using shifted windows

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.425302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebc30e2-41f9-4d03-ad43-4acad62cf6c0 · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text.

A Multimodal Multi-Agent Framework for Radiology Report Generation Medclip: Contrastive learning from unpaired medical images and text

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.175457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bf89180-b4d9-4444-817e-ac92d5a83f99 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.URL https://lmsys.

A Multimodal Multi-Agent Framework for Radiology Report Generation Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.URL https://lmsys

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.161101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 740fe749-f1b6-4ff7-94c3-38467be2e321 · outbound

This paper cites Cares: A comprehensive benchmark of trustworthiness in medical vision language models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Cares: A comprehensive benchmark of trustworthiness in medical vision language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.146267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f29b2161-0b65-4974-a20f-c39a0bc04494 · outbound

This paper cites ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

A Multimodal Multi-Agent Framework for Radiology Report Generation ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.442152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c87139b-b735-4cf1-bccf-581b7162f672 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

A Multimodal Multi-Agent Framework for Radiology Report Generation A Survey on Hallucination in Large Vision-Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.445951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69e1330-4e57-4a88-bd0d-55a91f178246 · outbound

This paper cites Investigating the Catastrophic Forgetting in Multimodal Large Language Models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Investigating the Catastrophic Forgetting in Multimodal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.449870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7faf6f6-1a09-413a-ab6a-f9fcb3d1ab55 · outbound

This paper cites The importance of robust features in mitigating catas- trophic forgetting.

A Multimodal Multi-Agent Framework for Radiology Report Generation The importance of robust features in mitigating catas- trophic forgetting

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.131105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6680b48b-c808-43d8-96df-3e3555c16dca · outbound

This paper cites SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.

A Multimodal Multi-Agent Framework for Radiology Report Generation SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:27:06.739556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1262f75d-3ca6-43bf-825c-e6d9be46a406 · outbound

This paper cites Retrieval augmented chest x-ray report generation using openai gpt models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Retrieval augmented chest x-ray report generation using openai gpt models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.117873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ca4c09a-d321-40e8-bbb9-34c2659b83e5 · outbound

This paper cites Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.465101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb34c45f-6f25-4dc8-a47d-6d2dd44a6d7f · outbound

This paper cites MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.

A Multimodal Multi-Agent Framework for Radiology Report Generation MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.469469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70907c5c-029c-4cac-829f-aaa4a5789958 · outbound

This paper cites Optimizing relation extraction in medical texts through active learning: A comparative analysis of trade-offs.

A Multimodal Multi-Agent Framework for Radiology Report Generation Optimizing relation extraction in medical texts through active learning: A comparative analysis of trade-offs

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.104615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4147b8fe-1721-41d7-941f-5764535e03da · outbound

This paper cites Report generation from x-ray imaging by retrieval-augmented gener- ation and improved image-text matching.

A Multimodal Multi-Agent Framework for Radiology Report Generation Report generation from x-ray imaging by retrieval-augmented gener- ation and improved image-text matching

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.090707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b32e05bc-bc58-4ca7-ab1b-36d1c6ba2963 · outbound

This paper cites Rule: Reliable multimodal rag for factuality in medical vision language models.

A Multimodal Multi-Agent Framework for Radiology Report Generation Rule: Reliable multimodal rag for factuality in medical vision language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.077186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14f94aa9-d646-4d93-b0f7-9a4f02751d4a · outbound

This paper cites MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding.

A Multimodal Multi-Agent Framework for Radiology Report Generation MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.487511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97e6dfa-4a29-4710-9d3f-2e3e1d581c55 · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.492121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dbf130-c526-4e2c-82c1-55dd1a268b2b · outbound

This paper cites Ct-agent: Clinical trial multi-agent with large language model-based reasoning.arXiv e-prints, pages arXiv–2404, 2024.

A Multimodal Multi-Agent Framework for Radiology Report Generation Ct-agent: Clinical trial multi-agent with large language model-based reasoning.arXiv e-prints, pages arXiv–2404, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.054555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 184a9f48-23d2-4521-a267-7362044e48a8 · outbound

This paper cites Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias.

A Multimodal Multi-Agent Framework for Radiology Report Generation Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.499958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201ce59d-91bd-4231-a0bf-c6ffcb309d89 · outbound

This paper cites MEDCO: Medical Education Copilots Based on A Multi-Agent Framework.

A Multimodal Multi-Agent Framework for Radiology Report Generation MEDCO: Medical Education Copilots Based on A Multi-Agent Framework

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.504039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.508673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf6ff6b-fc49-4dfa-b019-ece4f445964f · outbound

This paper cites Are we going mad? benchmarking multi-agent debate between language models for medical q&a.

A Multimodal Multi-Agent Framework for Radiology Report Generation Are we going mad? benchmarking multi-agent debate between language models for medical q&a

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.039864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4d46714-dd21-4745-9375-814019e687eb · outbound

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

A Multimodal Multi-Agent Framework for Radiology Report Generation Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.516545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a5285b-f83c-44c0-886c-0f16b450d7f0 · outbound

This paper cites Towards interpretable radiology report generation via concept bottlenecks using a multi-agentic rag.

A Multimodal Multi-Agent Framework for Radiology Report Generation Towards interpretable radiology report generation via concept bottlenecks using a multi-agentic rag

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:07.024167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation efd99690-80ff-46ed-a01b-85ac4a0a7146 · outbound

This paper cites Learning transferable visual models from natural language supervision.

A Multimodal Multi-Agent Framework for Radiology Report Generation Learning transferable visual models from natural language supervision

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.524788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a06479-1313-493c-b2b6-196acc5a677b · outbound

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

A Multimodal Multi-Agent Framework for Radiology Report Generation MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.529072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4686c958-50f7-4e7d-9725-d6a0c77ee12a · outbound

This paper cites Preparing a collection of radiology examinations for distribution and retrieval.Journal of the American Medical Informatics Association, 23(2):304–310, 2016.

A Multimodal Multi-Agent Framework for Radiology Report Generation Preparing a collection of radiology examinations for distribution and retrieval.Journal of the American Medical Informatics Association, 23(2):304–310, 2016

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.533715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91cdf239-8702-4dce-88e4-1473d8576c95 · outbound

This paper cites Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.537957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af73250-99a2-4c43-a018-2785d95b1428 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

A Multimodal Multi-Agent Framework for Radiology Report Generation Bleu: a method for automatic evaluation of machine translation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.542725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27e5ba9-db94-428d-a32f-aeb328851c4e · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

A Multimodal Multi-Agent Framework for Radiology Report Generation Rouge: A package for automatic evaluation of summaries

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.546854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22050a17-955d-4714-ac1f-573c4d30988e · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

A Multimodal Multi-Agent Framework for Radiology Report Generation BERTScore: Evaluating Text Generation with BERT

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.551217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13706acb-cc67-405a-9e65-6a0230e752e6 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

A Multimodal Multi-Agent Framework for Radiology Report Generation Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:06.555642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ddc1ea-f896-49ae-bfd1-1d1c02001f83 · outbound

This paper cites Claude 3 haiku: Our fastest model yet, 2024.https://www.anthropic.com/news/ claude-3-haiku.

A Multimodal Multi-Agent Framework for Radiology Report Generation Claude 3 haiku: Our fastest model yet, 2024.https://www.anthropic.com/news/ claude-3-haiku

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:06.962896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 2707b6e2-28b4-4111-baf9-e7cc92e7db59 · inbound

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation cites this paper.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 133

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.617527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 224366e7-5ef8-4e41-91e8-027af4058a9a · inbound

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation cites this paper.

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:13:30.004067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b709173f-3cd1-4728-aa8f-d160ab44f6c8 · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.321876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b94e3f2f-7035-4b2b-a008-25dd53c3338c · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:51.157570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8b808af-4726-41d6-ac35-0d73ec5c9d1f · inbound

CogRad: A Cognitively-Inspired Multi-Agent Framework for Radiology Report Generation cites this paper.

CogRad: A Cognitively-Inspired Multi-Agent Framework for Radiology Report Generation A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T23:30:44.908637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ad44ab-9c11-447b-8aca-20bab2de0bbd · inbound

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation cites this paper.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation A Multimodal Multi-Agent Framework for Radiology Report Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T18:20:28.220541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.