CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement | Paper Citation Record

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This paper cites 2026 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

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This paper cites 2025 , url=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , url=

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This paper cites 2025 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint=

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This paper cites GREEN : Generative Radiology Report Evaluation and Error Notation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GREEN : Generative Radiology Report Evaluation and Error Notation

Reference 6

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

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This paper cites Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , booktitle=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , booktitle=

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This paper cites Weinberger and Yoav Artzi , booktitle=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Weinberger and Yoav Artzi , booktitle=

Reference 9

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This paper cites Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Reference 10

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Topol and Pranav Rajpurkar , title =

Reference 11

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 12

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Miller, Josh and Huang, Ouwen and Rajpurkar, Pranav , booktitle =

Reference 13

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GitHub repository , howpublished =

Reference 14

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2602.23276 , archivePrefix =

Reference 17

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This paper cites Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling

Reference 18

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Unresolved cited work

Reference 19

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Gonzalez, Joseph and Zhang, Hao , booktitle =

Reference 20

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Guyon and A

Reference 21

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Guyon and C

Reference 22

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Mosquera, C

Reference 23

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Exploring scalable medical image encoders beyond text supervision

Reference 24

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Qwen2 Technical Report

Reference 25

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This paper cites Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Reference 26

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Findings of the Association for Computational Linguistics ACL 2024 , pages=

Reference 27

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and others , title =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , url =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 1895 , publisher=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Boosting Radiology Report Generation by Infusing Comparison Prior

Reference 33

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Nature Biomedical Engineering , pages=

Reference 34

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies , YEAR =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , organization =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 39

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2019 , url =

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models

Reference 41

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 42

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Hidden-Rad Evaluation Scheme of NTCIR-18 , year =

Reference 43

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Diagnostics , volume =

Reference 44

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Medical image analysis , volume=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation

Reference 46

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GREEN: Generative Radiology Report Evaluation and Error Notation

Reference 47

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European conference on computer vision , pages=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European Conference on Computer Vision , pages=

Reference 49

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European journal of radiology , volume=

Reference 50

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE conference on computer vision and pattern recognition , year=

Reference 51

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 52

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Reference 53

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement NEJM AI , volume=

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in Neural Information Processing Systems , year=

Reference 55

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Observation 6bfc62c6-dc74-4bbc-abef-5619add8f556 · outbound

This paper cites Language Models are Few-Shot Learners.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Language Models are Few-Shot Learners

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.828376Z

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Observation afa034b5-4a32-4707-a3c2-c4e39dcaec76 · outbound

This paper cites OpenAI blog , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement OpenAI blog , volume=

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.837480Z

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Observation 0d359b56-a0ee-437a-917b-beddf990a5a3 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Finetuned Language Models Are Zero-Shot Learners

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.841552Z

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Observation 8a21c0e3-f31b-4511-a037-b33f7e1203e9 · outbound

This paper cites GPT-4 Technical Report.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GPT-4 Technical Report

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.846654Z

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Observation 5c266b5a-9daf-4477-957a-a2af1a050c8d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Gemini: A Family of Highly Capable Multimodal Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.851388Z

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Observation b348b13e-71ad-47a3-9d9d-10bb671856c8 · outbound

This paper cites International conference on machine learning , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International conference on machine learning , pages=

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.855996Z

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Observation 74e4b0c8-0c45-4784-8625-dcae44015092 · outbound

This paper cites , author=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement , author=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.860168Z

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Observation 3e806fa9-a540-470c-ab52-78ba1d0edd23 · outbound

This paper cites Nature Biomedical Engineering , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Nature Biomedical Engineering , volume=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.865358Z

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Observation 678ef3ba-b216-45cf-b7a0-0e41b7f48b91 · outbound

This paper cites BMC Medical Informatics and Decision Making , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement BMC Medical Informatics and Decision Making , volume=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.870591Z

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Observation c6d3cde1-33a0-4683-a58c-b83be82dba6f · outbound

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2022 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.874972Z

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Observation 2ff61e38-c961-4bad-8bf9-9903c6c03674 · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.879256Z

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Observation 81988803-75fe-4b14-a681-bdc1f7221ccd · outbound

This paper cites Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.883843Z

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Observation 89775d2a-b385-488c-83d8-e1e3bcc806f0 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.889104Z

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Observation b03d5a4d-b608-4417-9a3e-cc5cf3b1617c · outbound

This paper cites Foundations and Trends.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Foundations and Trends

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.894272Z

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Observation e6031a77-6aa1-4056-adf4-b268e5de1dc9 · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.898632Z

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Observation 1b9f05ff-59be-43d5-9832-5cbff4ac5c3e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.903153Z

Source-reported events for the cited work

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Observation 6690c0ac-f9cf-44ad-bed0-56c9ebf1f8b3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in Neural Information Processing Systems , volume=

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.907339Z

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Observation f2cfae7c-bd6c-4ab7-98b6-dcc2d6e9b87e · outbound

This paper cites MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.912437Z

Source-reported events for the cited work

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Observation 99a7930e-8103-4346-bfbe-783cd1f2ca46 · outbound

This paper cites 2015 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2015 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.917481Z

Source-reported events for the cited work

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Observation 1e41f3e2-8a85-4ec3-a30d-3a7edc90abf9 · outbound

This paper cites ChEX: Interactive Localization and Region Description in Chest X-rays.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ChEX: Interactive Localization and Region Description in Chest X-rays

Reference 76

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T10:24:00.131786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dfd6a7b-1513-4f07-a435-6061d6f48f2c · outbound

This paper cites Image and Vision Computing , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Image and Vision Computing , volume=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.927753Z

Source-reported events for the cited work

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Observation d9850a3a-43d3-4561-9e0b-b031693cc307 · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.932019Z

Source-reported events for the cited work

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Observation 1cb65bf2-b148-4a71-8e45-328dbfa44a13 · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.936541Z

Source-reported events for the cited work

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Observation 6acd7a93-53bf-405e-9b10-07a8af0366bc · outbound

This paper cites M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.941392Z

Source-reported events for the cited work

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Observation 750090cd-d0fe-42a7-bc2a-d06baa57731a · outbound

This paper cites WoLF: Wide-scope Large Language Model Framework for CXR Understanding.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement WoLF: Wide-scope Large Language Model Framework for CXR Understanding

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T10:24:00.064847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9da2dbd3-623d-402d-a483-58354fa70f73 · outbound

This paper cites International Conference on Machine Learning , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International Conference on Machine Learning , pages=

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.951672Z

Source-reported events for the cited work

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Observation 4759a88d-5525-477d-b8bd-b526e7d1d500 · outbound

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CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Text summarization branches out , pages=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.956000Z

Source-reported events for the cited work

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Observation 8554af42-eb40-428c-9a75-d03c1c127bbc · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.961321Z

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Observation bd1f2a35-4596-4535-a0a7-bd9ff0e28858 · outbound

This paper cites Medical Image Computing and Computer Assisted Intervention--MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Medical Image Computing and Computer Assisted Intervention--MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I , pages=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.966381Z

Source-reported events for the cited work

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Observation df90cb72-750b-46af-ac00-babb52ec9528 · outbound

This paper cites Progressive Transformer-Based Generation of Radiology Reports.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Progressive Transformer-Based Generation of Radiology Reports

Reference 86

Resolution: verified exact; doi, observed 2026-08-05T10:23:59.558928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3aa0616-3e82-4152-b1e3-6d309f587c92 · outbound

This paper cites Informatics in Medicine Unlocked , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Informatics in Medicine Unlocked , volume=

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.975290Z

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Observation 2fb4880a-029c-4def-86fd-04667308d3a1 · outbound

This paper cites Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.980017Z

Source-reported events for the cited work

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Observation 79d8f963-065c-4f20-9df3-00f766605eb3 · outbound

This paper cites an unresolved cited work.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.984621Z

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Observation 3c45a87e-0ef7-4675-a6f4-fb2a4f172eab · outbound

This paper cites International Conference on Learning Representations , year=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International Conference on Learning Representations , year=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.988762Z

Source-reported events for the cited work

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Observation 4f7fc984-9db7-4dc6-944a-45d78e517860 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement LLaVA-OneVision: Easy Visual Task Transfer

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.993112Z

Source-reported events for the cited work

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Observation 2522009f-aa61-409f-b91b-8b2bf065f78a · outbound

This paper cites 2024 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , eprint=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.997455Z

Source-reported events for the cited work

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Observation b3159b9a-d4cb-445d-beaa-c1dece45b2a0 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Capabilities of Gemini Models in Medicine

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.002173Z

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Observation 9113db39-37cd-4cd0-a2b6-279d1ab7f657 · outbound

This paper cites Advancing Multimodal Medical Capabilities of Gemini.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advancing Multimodal Medical Capabilities of Gemini

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.006715Z

Source-reported events for the cited work

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Observation 370c4e90-452f-4362-83a7-5c41a4111cce · outbound

This paper cites What matters when building vision-language models?.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement What matters when building vision-language models?

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.011370Z

Source-reported events for the cited work

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Observation 16d697df-4d57-4b1e-b335-8a9d501a9216 · outbound

This paper cites Advances in neural information processing systems , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in neural information processing systems , volume=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.015943Z

Source-reported events for the cited work

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Observation 87bf0a64-4756-45c7-af15-93169d7c7787 · outbound

This paper cites Instruction Tuning with GPT-4.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Instruction Tuning with GPT-4

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.020211Z

Source-reported events for the cited work

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Observation 4162c05c-db4a-45dd-8767-f16d13cf621c · outbound

This paper cites Patterns , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Patterns , volume=

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.025656Z

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Observation 7968e0b9-339f-4f78-9e8a-7c6e2c32f24c · outbound

This paper cites 2024 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , eprint=

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.029804Z

Source-reported events for the cited work

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Observation f8424cba-dafd-4c41-b3e5-de063ccba5b9 · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.034072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9517d658-c8fc-49f6-9b50-80e889dd7426 · outbound

This paper cites Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Toward expanding the scope of radiology report summarization to multiple anatomies and modalities

Reference 101

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T10:23:59.922239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b04b418f-7245-4d40-871e-5e7e41473c20 · outbound

This paper cites Journal of Computing Science and Engineering , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Journal of Computing Science and Engineering , volume=

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.043303Z

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Outbound references

Pith citing papers