Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation | Paper Citation Record

Observation 918a57d6-ab22-45e1-9903-1fe36b25a7a3 · outbound

This paper cites ARDGen: Augmentation regularization for domain- generalized medical report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation ARDGen: Augmentation regularization for domain- generalized medical report generation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.267425Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2461f4f0-3f0d-46b7-89e0-5c364399cc18 · outbound

This paper cites A review on detection of pneumonia in chest X- ray images using neural networks.Journal of Biomedical Physics and Engineering, 12(6):551–558.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A review on detection of pneumonia in chest X- ray images using neural networks.Journal of Biomedical Physics and Engineering, 12(6):551–558

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.247805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 424c98ff-c7f0-40e8-81f3-c35a3121591c · outbound

This paper cites Multi-resolution pathology-language pre-training model with text-guided visual representation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Multi-resolution pathology-language pre-training model with text-guided visual representation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.181255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 320b1abe-6ff6-4d20-8846-31a662544449 · outbound

This paper cites JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.712967Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aa88bfa6-9ca7-454b-8ace-ea059398280a · outbound

This paper cites Prover agent: An agent-based framework for formal mathematical proofs.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Prover agent: An agent-based framework for formal mathematical proofs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.753937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f137deae-f331-4d9a-9bdb-027c9d5fcc94 · outbound

This paper cites METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.403543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35bf995b-5e1d-4862-a6a5-3a5cbd84755d · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MAIRA-2: Grounded Radiology Report Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.779114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a04b6647-f742-456e-877a-b41aa8a96ade · outbound

This paper cites Cross-counter-repeat attention for enhanced understanding of visual semantics in radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Cross-counter-repeat attention for enhanced understanding of visual semantics in radiology report generation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.421067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 20cf4a32-8828-4e6c-81b1-1ef73d1dc6f9 · outbound

This paper cites Baselines for chest X-ray report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Baselines for chest X-ray report generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.433146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccfde9e0-6df3-4c5d-bd6e-433fb2700f7c · outbound

This paper cites an unresolved cited work.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-15T21:51:41.327115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7e485cf-6e94-4d11-b4a5-9ea9602af826 · outbound

This paper cites Imaging the chest: The chest radiograph.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Imaging the chest: The chest radiograph

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.176945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e96a4ec0-f5f0-483e-a2f8-65b45ba14004 · outbound

This paper cites A review on lung boundary detection in chest X-rays.International Journal of Computer Assisted Radiology and Surgery, 14(4):563– 576.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A review on lung boundary detection in chest X-rays.International Journal of Computer Assisted Radiology and Surgery, 14(4):563– 576

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.142042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f3011ee4-e967-4f4f-a616-fa96a768f073 · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabil- ities.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Spatialvlm: Endow- ing vision-language models with spatial reasoning capabil- ities

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.440393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c778d0d-c5ed-4fc4-9c1e-74acd1ea7f82 · outbound

This paper cites Pan, Wen Zhang, Huajun Chen, Fan Yang, Zenan Zhou, and Weipeng Chen.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Pan, Wen Zhang, Huajun Chen, Fan Yang, Zenan Zhou, and Weipeng Chen

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.190178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21f5826d-add7-4872-a417-442835c0edc9 · outbound

This paper cites Generating radiology reports via memory- driven transformer.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Generating radiology reports via memory- driven transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.243896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 749b2511-c3c7-4816-8a53-bd8e397de5d1 · outbound

This paper cites Cross-modal memory networks for radiology report gener- ation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Cross-modal memory networks for radiology report gener- ation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.076883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a6c88d7-8b88-4020-b35b-b34b25e726ec · outbound

This paper cites CheXa- gent: Towards a foundation model for chest X-ray interpre- tation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CheXa- gent: Towards a foundation model for chest X-ray interpre- tation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.104944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8fb79391-2903-452a-97f2-720cbded0924 · outbound

This paper cites OraPO: Oracle-educated rein- forcement learning for data-efficient and factual radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation OraPO: Oracle-educated rein- forcement learning for data-efficient and factual radiology report generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.659830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb8cfc04-0807-46e9-a362-5e47fe615422 · outbound

This paper cites SpatialRGPT: Grounded spatial reasoning in vision- language models.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation SpatialRGPT: Grounded spatial reasoning in vision- language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.186387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbc8f9a6-570d-4b6a-bf77-93899eedf197 · outbound

This paper cites MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.877710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22959118-5278-422f-836c-984fd543be7d · outbound

This paper cites Cowan, Sharyn L.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Cowan, Sharyn L

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.101016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de1a6b95-1976-4bdd-a9b8-6de8d96fa6d0 · outbound

This paper cites an unresolved cited work.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-15T21:51:41.417541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 041a0afe-70f8-4281-bf6c-be91a4844508 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.844496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e0d8a30-db84-4415-916c-15d57d7fc1ca · outbound

This paper cites Automated structured radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Automated structured radiology report generation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.093350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c30440f3-2ab1-4e8a-b4fa-2449339350e9 · outbound

This paper cites Kohli, Marc B.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Kohli, Marc B

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.193644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50b7b106-f67d-4cf4-8c27-934b44343730 · outbound

This paper cites Keyword-based ai assistance in the generation of radiology reports: A pilot study.npj Digital Medicine, 8 (1):490.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Keyword-based ai assistance in the generation of radiology reports: A pilot study.npj Digital Medicine, 8 (1):490

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.109499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2eee2387-aef1-4049-93d4-754602ccb4fc · outbound

This paper cites Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.747261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 236e49b3-7230-4e66-87b4-0c60f28a3471 · outbound

This paper cites Elboardy, Ghada Khoriba, and Essam A.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Elboardy, Ghada Khoriba, and Essam A

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.836785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf9441d7-ba10-4605-9130-5422b497d30f · outbound

This paper cites ReTool: Reinforcement learning for strate- gic tool use in LLMs.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation ReTool: Reinforcement learning for strate- gic tool use in LLMs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.235018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 017042d1-632a-4eb6-ab4a-bdfc146601e5 · outbound

This paper cites an unresolved cited work.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-15T21:51:41.273180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2cc1bb44-a711-405d-90ad-57e5e41e4b7a · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.759612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae71a0dc-bf66-46d9-9efc-7dc886d54ef3 · outbound

This paper cites FactCheXcker: Mitigating measurement hallucinations in chest X-ray report genera- tion models.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation FactCheXcker: Mitigating measurement hallucinations in chest X-ray report genera- tion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.056234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c009af78-e953-4652-8e2b-5c24e828e894 · outbound

This paper cites MetaGPT: Meta programming for a multi- agent collaborative framework.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MetaGPT: Meta programming for a multi- agent collaborative framework

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.034297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c092d9ff-a38a-4b29-9021-9779454443c8 · outbound

This paper cites RADAR: Enhancing radiology report generation with supplementary knowledge injection.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation RADAR: Enhancing radiology report generation with supplementary knowledge injection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.172504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 53af7bd4-7726-4210-a2fc-f17da898eca3 · outbound

This paper cites RRG-Mamba: Efficient radiology report gener- ation with state space model.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation RRG-Mamba: Efficient radiology report gener- ation with state space model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.289504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 276bc489-3a45-47c9-ba84-08a0eb12a36c · outbound

This paper cites Knowledge- driven query network with adaptive cross-view attention for structured radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Knowledge- driven query network with adaptive cross-view attention for structured radiology report generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.138071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2cf5003-a083-42eb-a8c1-6d50b84cc1a1 · outbound

This paper cites OWL: Optimized workforce learning for general multi-agent assistance in real-world task automation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation OWL: Optimized workforce learning for general multi-agent assistance in real-world task automation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.031024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1fbffc99-ff02-488e-b047-46f6956efb2e · outbound

This paper cites Lungren, and Serena Yeung.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Lungren, and Serena Yeung

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.051982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59ec232c-95ed-4205-9acd-fb50cd3730f3 · outbound

This paper cites DAMPER: A dual-stage medical report generation framework with coarse-grained mesh alignment and fine-grained hypergraph matching.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation DAMPER: A dual-stage medical report generation framework with coarse-grained mesh alignment and fine-grained hypergraph matching

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.297478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3431607b-78b5-47bf-b227-ad280955e141 · outbound

This paper cites CmEAA: Cross-modal enhancement and alignment adapter for radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CmEAA: Cross-modal enhancement and alignment adapter for radiology report generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.168629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11129508-2023-4b90-a66d-84cde093e14e · outbound

This paper cites Kiut: Knowledge-injected u-transformer for radiology re- port generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Kiut: Knowledge-injected u-transformer for radiology re- port generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.239595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3e6b1dd-ddd8-4239-aa3c-1b1a85c18a2e · outbound

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

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.772251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3407c9e6-b5e8-4cd3-8c81-a7ff7592ba8f · outbound

This paper cites RadGraph: Extracting clinical entities and relations from radiology reports.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation RadGraph: Extracting clinical entities and relations from radiology reports

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.089419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60a2331f-97de-45c7-8380-cf66d8572050 · outbound

This paper cites From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:51:40.740239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a66a8bc-ab37-4ccb-a923-2ff46baa12b8 · outbound

This paper cites Advanc- ing medical radiograph representation learning: A hybrid pre-training paradigm with multilevel semantic granularity.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Advanc- ing medical radiograph representation learning: A hybrid pre-training paradigm with multilevel semantic granularity

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.064474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c0b94e58-4d85-4305-81db-17eecadc92e5 · outbound

This paper cites CoMT: Chain-of-medical-thought reduces hallucination in medical report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CoMT: Chain-of-medical-thought reduces hallucination in medical report generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.122085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 66629488-d2b5-40ef-b84a-60e3d6cb20b6 · outbound

This paper cites Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.726959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6a68b89-4dd1-43bd-852a-9510d7b6cf2b · outbound

This paper cites an unresolved cited work.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-05-15T21:51:41.097415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4927aa19-12e4-4e5a-bbf6-bdd285da527b · outbound

This paper cites CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.805802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa02d3be-0561-4c71-90f0-12ada3ab4f1c · outbound

This paper cites MDA- gents: An adaptive collaboration of LLMs for medical decision-making.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MDA- gents: An adaptive collaboration of LLMs for medical decision-making

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.216692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e0e4a451-b875-4189-b109-cca8b46fd9bc · outbound

This paper cites Look & mark: Leveraging radiologist eye fixations and bounding boxes in multimodal large language models for chest X-ray report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Look & mark: Leveraging radiologist eye fixations and bounding boxes in multimodal large language models for chest X-ray report generation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.161761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12947bb7-f824-400e-b5c9-378c81fbfddd · outbound

This paper cites From pre-trained language models to agen- tic AI: Evolution and architectures for autonomous intelli- gence.Preprints.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation From pre-trained language models to agen- tic AI: Evolution and architectures for autonomous intelli- gence.Preprints

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.301141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6a8f310-d37e-4087-8d57-9eeaedc17ef1 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Efficient memory management for large language model serving with pagedattention

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.085138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 948fcb95-0751-433f-9ac4-11f5dd0e9dae · outbound

This paper cites arXiv preprint arXiv:2503.13939 , year=.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation arXiv preprint arXiv:2503.13939 , year=

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.575753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8fa12dee-718a-4617-9091-56c3ae3bd61c · outbound

This paper cites CLARIFID: Improving radiology report generation by re- inforcing clinically accurate impressions and enforcing de- tailed findings.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CLARIFID: Improving radiology report generation by re- inforcing clinically accurate impressions and enforcing de- tailed findings

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.865586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec612cc0-bf08-4d72-9524-f463240df87e · outbound

This paper cites CXR-LLaV A: a multimodal large language model for interpreting chest X-ray images.European Radi- ology, 35(7):4374–4386.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CXR-LLaV A: a multimodal large language model for interpreting chest X-ray images.European Radi- ology, 35(7):4374–4386

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.399997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45fa0f94-e685-4d20-8547-dc06fa75ee22 · outbound

This paper cites CAMEL: Com- municative agents for ”mind” exploration of large language model society.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CAMEL: Com- municative agents for ”mind” exploration of large language model society

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.335172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2dadf244-0f96-407b-ac18-0460c3d795b5 · outbound

This paper cites Con- trastive learning with counterfactual explanations for radi- ology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Con- trastive learning with counterfactual explanations for radi- ology report generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.165197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42ee8889-0eb1-4b99-a009-31a75d3c6be4 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infras- tructure, and challenges.Vicinagearth, 1(1):9.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A survey on llm-based multi-agent systems: workflow, infras- tructure, and challenges.Vicinagearth, 1(1):9

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.263630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4fb04403-fcde-49e9-9366-19131b72d040 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation ToRL: Scaling Tool-Integrated RL

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.765848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c153ea5-a28b-4461-8366-5a916b8097db · outbound

This paper cites Au- tomatic radiology report generation with deep learning: a comprehensive review of methods and advances.Artificial Intelligence Review, 58(11):344.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Au- tomatic radiology report generation with deep learning: a comprehensive review of methods and advances.Artificial Intelligence Review, 58(11):344

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.220227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb693288-7e09-42e8-8a34-b91f77139009 · outbound

This paper cites S-RRG-Bench: 11 Structured radiology report generation with fine-grained evaluation framework.Meta-Radiology, page 100171.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation S-RRG-Bench: 11 Structured radiology report generation with fine-grained evaluation framework.Meta-Radiology, page 100171

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.408532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 189cdee7-aefd-471a-99e0-9ce5d3f407de · outbound

This paper cites In-the-Flow Agentic System Optimization for Effective Planning and Tool Use.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-23T02:23:22.856980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 829e03eb-f863-4831-9858-62401c21dc38 · outbound

This paper cites Encouraging divergent thinking in large language mod- els through multi-agent debate.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Encouraging divergent thinking in large language mod- els through multi-agent debate

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.429177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de993b62-1681-4e5b-94b4-fc8fdde7cc65 · outbound

This paper cites ROUGE: A package for automatic evalua- tion of summaries.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation ROUGE: A package for automatic evalua- tion of summaries

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.042879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6367b93-b3d7-4f2a-9551-719b6970b17a · outbound

This paper cites A foundation model for chest X-ray inter- pretation with grounded reasoning via online reinforcement learning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A foundation model for chest X-ray inter- pretation with grounded reasoning via online reinforcement learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.858900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fb3a47a1-6939-4fba-8fdd-f81f81604016 · outbound

This paper cites Bootstrapping large language models for radiology report generation.AAAI Conference on Artificial Intelligence, 38(17):18635–18643.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Bootstrapping large language models for radiology report generation.AAAI Conference on Artificial Intelligence, 38(17):18635–18643

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.354484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2948c696-1a2c-44f1-b832-8531198dd987 · outbound

This paper cites Competence-based multimodal curriculum learning for medical report genera- tion.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Competence-based multimodal curriculum learning for medical report genera- tion

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.331067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e04e8e9-81dd-4cf8-926d-6fafc817898e · outbound

This paper cites Exploring and distilling posterior and prior knowledge for radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Exploring and distilling posterior and prior knowledge for radiology report generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.213308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3974453-b254-4623-b271-20ccab3c81c5 · outbound

This paper cites Clinically accurate chest X-ray report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Clinically accurate chest X-ray report generation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.227659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 311a99b9-e33f-475f-86cd-ad7c45c8588a · outbound

This paper cites Structural entities extraction and patient indications incorporation for chest X-ray report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Structural entities extraction and patient indications incorporation for chest X-ray report generation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.130234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f3608ad8-f389-449a-856d-bb2dfdf3f3a1 · outbound

This paper cites Enhanced contrastive learning with multi-view longitudinal data for chest X-ray report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Enhanced contrastive learning with multi-view longitudinal data for chest X-ray report generation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.309263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc798f2d-a6ed-42f4-9c0f-8d3aaac149f2 · outbound

This paper cites In-context learning for zero- shot medical report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation In-context learning for zero- shot medical report generation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.312836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86417860-32f2-4e18-88da-5b582a2fde45 · outbound

This paper cites HC-LLM: Historical-constrained large language models for radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation HC-LLM: Historical-constrained large language models for radiology report generation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.209636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac5b8db1-547d-48bb-810a-5a1bc5b15841 · outbound

This paper cites A generalist medi- cal language model for disease diagnosis assistance.Nature Medicine, 31(3):932–942.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation A generalist medi- cal language model for disease diagnosis assistance.Nature Medicine, 31(3):932–942

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.375037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7794a1cc-d1b5-4e40-9642-51e66409114a · outbound

This paper cites From observation to concept: A flexible multi-view paradigm for medical report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation From observation to concept: A flexible multi-view paradigm for medical report generation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.392688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3db9fe13-1b60-4b80-b97a-b2365814eeea · outbound

This paper cites Understanding R1-Zero-like training: A critical perspective.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Understanding R1-Zero-like training: A critical perspective

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.316058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c69a4bed-c3aa-477d-b146-3a67d7005e37 · outbound

This paper cites Part i: Tricks or traps? a deep dive into rl for llm reasoning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Part i: Tricks or traps? a deep dive into rl for llm reasoning

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.798043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f0b891a1-985c-4120-a27e-b1eeca363e54 · outbound

This paper cites CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-07-17T02:20:35.666587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e669457-ddd5-44c7-8b97-e80708d940b6 · outbound

This paper cites Eye-gaze guided multi-modal alignment for medical repre- sentation learning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Eye-gaze guided multi-modal alignment for medical repre- sentation learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.279462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a63896ad-167b-4433-a866-9d3e277308e7 · outbound

This paper cites Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:51:40.699405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b959cabf-ced0-4b74-b26a-90b14e52eb4f · outbound

This paper cites Metlay, Grant W.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Metlay, Grant W

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.201934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71e65f06-4285-48c8-85c1-21b8c047545d · outbound

This paper cites MALT: Improving reasoning with multi-agent LLM train- ing.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MALT: Improving reasoning with multi-agent LLM train- ing

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.366989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a42ca0f5-cb12-4e59-bf91-dd7a5a794710 · outbound

This paper cites Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.733088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58b45e3d-b7e5-4748-a520-eb3a0489a2a0 · outbound

This paper cites Multimodal large language models in medical imaging: Current state and fu- ture directions.Korean Journal of Radiology, 26(10):900– 923.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Multimodal large language models in medical imaging: Current state and fu- ture directions.Korean Journal of Radiology, 26(10):900– 923

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.413704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28d846c6-0ecb-46f8-ad1b-489107fcf14f · outbound

This paper cites VILA-M3: Enhancing vision-language mod- els with medical expert knowledge.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation VILA-M3: Enhancing vision-language mod- els with medical expert knowledge

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.157817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00821b69-21ca-461d-85f5-e0ec1d7fbd8d · outbound

This paper cites Longitudinal data and a semantic simi- larity reward for chest X-ray report generation.Informatics in Medicine Unlocked, 50:101585.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Longitudinal data and a semantic simi- larity reward for chest X-ray report generation.Informatics in Medicine Unlocked, 50:101585

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.424681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a4ed55f-0b66-48af-9030-2c37a95c1187 · outbound

This paper cites GPT-4 Technical Report.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation GPT-4 Technical Report

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.884545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4b1eefb-bfe3-4a3e-b4f3-57ebcb812ddf · outbound

This paper cites GREEN: Generative radiology report evaluation and error notation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation GREEN: Generative radiology report evaluation and error notation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.145973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c78af179-0173-494d-844b-cee35324e1ae · outbound

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

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Bleu: a method for automatic evaluation of machine translation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.383663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f74f09f8-1f53-410c-b40c-acb73cde36ff · outbound

This paper cites an unresolved cited work.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-05-15T21:51:41.270417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d05d3892-a2d7-4692-b010-2633f0a30891 · outbound

This paper cites Ozdaglar, Kaiqing Zhang, and Joo-Kyung Kim.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Ozdaglar, Kaiqing Zhang, and Joo-Kyung Kim

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.038313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5af81824-3545-4f57-a453-25fc5f0ddbac · outbound

This paper cites DART: Disease-aware image-text alignment and self-correcting re- alignment for trustworthy radiology report generation.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation DART: Disease-aware image-text alignment and self-correcting re- alignment for trustworthy radiology report generation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.258738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d54a3e4-1373-414f-a72f-f5d84cda3d0b · outbound

This paper cites RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:51:40.635674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82251a2b-5238-496a-8535-6fb4193ec3ba · outbound

This paper cites van Duijn, Niki Stein, Mike Preuss, Peter van der Putten, and Kees Joost Batenburg.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation van Duijn, Niki Stein, Mike Preuss, Peter van der Putten, and Kees Joost Batenburg

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:51:40.812828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c27af990-3004-477a-9597-958296d1795e · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation ToolRL: Reward is All Tool Learning Needs

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.594296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5371da7-ce1c-4bc6-8a37-3a7b0292739d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Proximal Policy Optimization Algorithms

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.870735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c9de107-e8c3-4e0a-ac7a-e039a06ce71c · outbound

This paper cites MedGemma Technical Report.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation MedGemma Technical Report

Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T21:51:40.681172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b156dc7-c52c-4787-842d-5281a4871e14 · outbound

This paper cites Chillakuru, Alex Rybkin, Youngho Seo, Thienkhai Vu, and Jae Ho Sohn.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation Chillakuru, Alex Rybkin, Youngho Seo, Thienkhai Vu, and Jae Ho Sohn

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T21:51:41.293126Z

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Observation c7b6751c-8063-408e-9f6f-b81e4b2cbf3c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Multi-Modal Multi-Agent Reinforcement Learning for Radiology Report Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:51:40.705997Z

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