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Paper Citation Record · LEDGER

Scaling medical imaging report generation with multimodal reinforcement learning

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2601.17151.

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

pith.paper-citation-record.v1
2601.17151 v2

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measured 32 of 32 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T08:29:47.531160Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:03:47.320868Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-08-08T15:03:48.790399Z

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32 of 32 outbound references displayed

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Outbound references

Observation d27e6d48-5024-4215-9ff5-7be6ff71a249 · outbound

This paper cites Qwen3-VL Technical Report.

Scaling medical imaging report generation with multimodal reinforcement learning Qwen3-VL Technical Report

Reference 1

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Observation fcbfe3ba-0ade-44ea-bb13-964a2835a096 · outbound

This paper cites Learning to exploit temporal structure for biomedical vision-language processing.

Scaling medical imaging report generation with multimodal reinforcement learning Learning to exploit temporal structure for biomedical vision-language processing

Reference 2

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Observation 8ea3d00c-d988-46a3-ac14-6e903a96149c · outbound

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

Scaling medical imaging report generation with multimodal reinforcement learning MAIRA-2: Grounded Radiology Report Generation

Reference 3

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source=pdf_text observed=2026-08-03T08:29:47.284778Z digest=sha256:7f989ef5b974f8cd4cc844a7a1b37e3beaec470b54fe9afb2202ede932185cbc

Observation 4b59f2c4-3548-4aa4-a7d2-b72085939b93 · outbound

This paper cites Langlotz.

Scaling medical imaging report generation with multimodal reinforcement learning Langlotz

Reference 4

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Observation 35fd19f9-03df-42f5-ba58-05ce4d752228 · outbound

This paper cites Automated structured radiology report generation.

Scaling medical imaging report generation with multimodal reinforcement learning Automated structured radiology report generation

Reference 5

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Observation 49d71ad2-7349-424f-9b5e-0adb5522b695 · outbound

This paper cites Preparing a collection of radiology examinations for distribution and retrieval, 2015.

Scaling medical imaging report generation with multimodal reinforcement learning Preparing a collection of radiology examinations for distribution and retrieval, 2015

Reference 6

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Observation fe083d49-1d41-46b2-8626-439a9e59e5e4 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Scaling medical imaging report generation with multimodal reinforcement learning Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 7

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Observation 6ba72481-bfbe-4e52-9e7d-d3a71d813900 · outbound

This paper cites How to create a great radiology report.Radiographics, 40(6):1658–1670, 2020.

Scaling medical imaging report generation with multimodal reinforcement learning How to create a great radiology report.Radiographics, 40(6):1658–1670, 2020

Reference 8

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Observation 1923d86f-fcb9-45e1-b89e-8d1a5203a1ef · outbound

This paper cites Generative artificial intelligence for chest radiograph interpretation in the emergency department.JAMA network open, 6(10):e2336100–e2336100, 2023.

Scaling medical imaging report generation with multimodal reinforcement learning Generative artificial intelligence for chest radiograph interpretation in the emergency department.JAMA network open, 6(10):e2336100–e2336100, 2023

Reference 9

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Observation 47e121a0-5f13-41e7-adbe-ef8f0153a634 · outbound

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

Scaling medical imaging report generation with multimodal reinforcement learning Radgraph: Extracting clinical entities and relations from radiology reports

Reference 10

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source=pdf_text observed=2026-08-03T08:29:47.347338Z digest=sha256:4238763b8090203f2d71a63afb5edf589c6654e0a0278c85bb545c47c30df678

Observation 617549f6-523c-4d61-a4a6-8dd1544463da · outbound

This paper cites Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019.

Scaling medical imaging report generation with multimodal reinforcement learning Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019

Reference 11

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Observation d28625dc-019e-4d32-a700-0a0f1f9dcb50 · outbound

This paper cites Toward best practices in radiology reporting.Radiology, 252(3):852–856, 2009.

Scaling medical imaging report generation with multimodal reinforcement learning Toward best practices in radiology reporting.Radiology, 252(3):852–856, 2009

Reference 12

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Observation 7ccf45ca-dfab-4ca7-b95a-3c0e2859fb1d · outbound

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

Scaling medical imaging report generation with multimodal reinforcement learning Clinically accurate chest x-ray report generation

Reference 13

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Observation e2dccaf0-fbb5-414b-877c-0426bf15f1be · outbound

This paper cites The current status and future of fda-approved artificial intelligence tools in chest radiology in the united states.Clinical Radiology, 78(2):115–122, 2023.

Scaling medical imaging report generation with multimodal reinforcement learning The current status and future of fda-approved artificial intelligence tools in chest radiology in the united states.Clinical Radiology, 78(2):115–122, 2023

Reference 14

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Observation 4b2a2ddc-08f1-4afd-9fad-54117dfeb6d4 · outbound

This paper cites Improving chest X-ray report generation by leveraging warm starting.Artificial Intelligence in Medicine, 144:102633, 2023.

Scaling medical imaging report generation with multimodal reinforcement learning Improving chest X-ray report generation by leveraging warm starting.Artificial Intelligence in Medicine, 144:102633, 2023

Reference 15

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Observation 073c46e3-8d01-4a88-8b00-ea53112dfce9 · outbound

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

Scaling medical imaging report generation with multimodal reinforcement learning Bleu: a method for automatic evaluation of machine translation

Reference 16

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Observation 364edfcc-e93c-4e98-b0a9-7e73433ce550 · outbound

This paper cites MedGemma Technical Report.

Scaling medical imaging report generation with multimodal reinforcement learning MedGemma Technical Report

Reference 17

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Observation 79978e76-a3ba-41af-8c3b-791904a16ca5 · outbound

This paper cites Controllable Chest X-Ray Report Generation from Longitudinal Representations.

Scaling medical imaging report generation with multimodal reinforcement learning Controllable Chest X-Ray Report Generation from Longitudinal Representations

Reference 18

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Observation 68771a1b-2ab1-4bdf-875f-66483a528c73 · outbound

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

Scaling medical imaging report generation with multimodal reinforcement learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

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Observation 2007c4ee-d637-4f54-bdef-c0aa8f680e6d · outbound

This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Scaling medical imaging report generation with multimodal reinforcement learning CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 20

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Observation abbe8cb2-7c27-411d-9689-a785f06d1c28 · outbound

This paper cites Interactive and explainable region- guided radiology report generation.

Scaling medical imaging report generation with multimodal reinforcement learning Interactive and explainable region- guided radiology report generation

Reference 21

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Observation 4fbcf69a-b0f7-48c6-96b4-68f6447d871b · outbound

This paper cites External validation of deep learning algorithms for radiologic diagnosis: a systematic review.Radiology: Artificial Intelligence, 4(3):e210064, 2022.

Scaling medical imaging report generation with multimodal reinforcement learning External validation of deep learning algorithms for radiologic diagnosis: a systematic review.Radiology: Artificial Intelligence, 4(3):e210064, 2022

Reference 22

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Observation 5e28c472-226c-4e03-b457-ea6c7e0083d9 · outbound

This paper cites Evaluating progress in automatic chest x-ray radiology report generation.Patterns, 4(9), 2023.

Scaling medical imaging report generation with multimodal reinforcement learning Evaluating progress in automatic chest x-ray radiology report generation.Patterns, 4(9), 2023

Reference 24

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Observation a62c509f-d0e4-47b3-b206-90eadc56c106 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Scaling medical imaging report generation with multimodal reinforcement learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 25

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source=pdf_text observed=2026-08-03T08:29:47.450850Z digest=sha256:5697e63027cd802994eab99244dd3a74f94b4b3eddea59076dd2dfb741f7dc0f

Observation 1965802e-b30d-4ad4-b225-975365661ead · outbound

This paper cites A clinically accessible small multimodal radiology model and evaluation metric for chest x-ray findings.Nature Communications, 16(1):3108, 2025.

Scaling medical imaging report generation with multimodal reinforcement learning A clinically accessible small multimodal radiology model and evaluation metric for chest x-ray findings.Nature Communications, 16(1):3108, 2025

Reference 27

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Observation 8b4dd035-183f-4b78-8b7c-d9e627bca461 · outbound

This paper cites Bertscore: Evaluating text generation with bert.

Scaling medical imaging report generation with multimodal reinforcement learning Bertscore: Evaluating text generation with bert

Reference 28

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source=pdf_text observed=2026-08-03T08:29:47.476901Z digest=sha256:7a4975963757a3afacb511b59c63ee55ebdc31baec74e8b6dc79c7c0eb1785d1

Observation c385239e-0e6e-49f5-8827-fbeeabd5073f · outbound

This paper cites ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

Scaling medical imaging report generation with multimodal reinforcement learning ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Reference 29

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source=pdf_text observed=2026-08-03T08:29:47.482263Z digest=sha256:c69247ad3046e89544a5ab5d6da12a4aa3ec85ad8e8ae7372b2ece176ae457e7

Observation dc716066-698f-4952-aaa1-8625c90e3c9d · outbound

This paper cites ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.

Scaling medical imaging report generation with multimodal reinforcement learning ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Reference 30

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source=pdf_text observed=2026-08-03T08:29:47.489976Z digest=sha256:7de6089e8a99097157da2330cf447d70ccf5560735d30499afc4886e2c5484a4

Observation 404a1c8d-adda-4aed-b1ad-a9f5945e6055 · outbound

This paper cites Ratescore: A metric for radiology report generation.

Scaling medical imaging report generation with multimodal reinforcement learning Ratescore: A metric for radiology report generation

Reference 31

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Observation 47b3351b-61a9-4f98-8836-c68269989109 · outbound

This paper cites MedVersa: A Generalist Foundation Model for Medical Image Interpretation.

Scaling medical imaging report generation with multimodal reinforcement learning MedVersa: A Generalist Foundation Model for Medical Image Interpretation

Reference 32

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source=pdf_text observed=2026-08-03T08:29:47.521761Z digest=sha256:a75067af92a0942e295207e3dba9b65ad4a5592ae30a2e0a5a9c9024a936de31

Observation 58316aa0-afa2-4463-b312-f6169b9353de · outbound

This paper cites Utilizing longitudinal chest x-rays and reports to pre-fill radiology reports.

Scaling medical imaging report generation with multimodal reinforcement learning Utilizing longitudinal chest x-rays and reports to pre-fill radiology reports

Reference 33

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Observation 450e67f8-96f2-466c-bcc8-440ca745ed42 · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Scaling medical imaging report generation with multimodal reinforcement learning CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 2024

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Pith citing papers

Observation 388eb7d9-84b5-40a8-8af7-20bf04032b04 · inbound

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation cites this paper.

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation Scaling medical imaging report generation with multimodal reinforcement learning

Reference 1

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local_arxiv, observed 2026-08-08T15:03:48.797429Z

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