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GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training

As of 10 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2603.06467.

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2603.06467 v3

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measured 76 of 76 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-28T06:26:15.397248Z

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Source: pith, observed 2026-07-02T08:06:47.787852Z

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76 of 76 outbound references displayed

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Outbound references

Observation c550f98c-bbf9-4a57-90d2-3d9122510ba3 · outbound

This paper cites End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.Nature medicine, 25(6):954–961, 2019.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.Nature medicine, 25(6):954–961, 2019

Reference 1

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Observation 621a46ef-5568-4c70-a3e2-090d0c8ac618 · outbound

This paper cites Large-scale pancreatic cancer detection via non-contrast ct and deep learning.Nature medicine, 29(12):3033–3043, 2023.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Large-scale pancreatic cancer detection via non-contrast ct and deep learning.Nature medicine, 29(12):3033–3043, 2023

Reference 2

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Observation 2e2dcadf-4f0a-4400-a452-5c2daf995796 · outbound

This paper cites Ai-based diagnosis of acute aortic syndrome from noncontrast ct.Nature Medicine, pages 1–13, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Ai-based diagnosis of acute aortic syndrome from noncontrast ct.Nature Medicine, pages 1–13, 2025

Reference 3

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Observation d2b4eea4-45d4-4325-bee3-448e1ae65f2a · outbound

This paper cites Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging.Nature Medicine, pages 1–10, 2024.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging.Nature Medicine, pages 1–10, 2024

Reference 4

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Observation 50f7eeb8-c223-4809-9e94-4f4b96b4b809 · outbound

This paper cites Rsna 2023 abdominal trauma ai challenge: Review and outcomes.Radiology: Artificial Intelligence, 7(1):e240334, 2024.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Rsna 2023 abdominal trauma ai challenge: Review and outcomes.Radiology: Artificial Intelligence, 7(1):e240334, 2024

Reference 5

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Observation bd652e1d-c674-4c92-8570-705891838a88 · outbound

This paper cites A generative model uses healthy and diseased image pairs for pixel-level chest x-ray pathology localization.Nature Biomedical Engineering, pages 1–13, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A generative model uses healthy and diseased image pairs for pixel-level chest x-ray pathology localization.Nature Biomedical Engineering, pages 1–13, 2025

Reference 6

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Observation 7102c76b-f37d-40e6-a10f-34ea0380216d · outbound

This paper cites A vision–language foundation model for the generation of realistic chest x-ray images.Nature Biomedical Engineering, 9(4):494–506, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A vision–language foundation model for the generation of realistic chest x-ray images.Nature Biomedical Engineering, 9(4):494–506, 2025

Reference 7

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Observation 27094b5b-ff0f-44c0-ad0d-62384698bce5 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training High- resolution image synthesis with latent diffusion models

Reference 8

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Observation 3f188046-e032-42c9-b199-a3e862b6b3e6 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022

Reference 9

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Observation 83645ad8-0e61-48f4-af64-c1061ea1d6c7 · outbound

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

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 10

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Observation ddb65472-04fd-4617-aa53-ad03dee535a8 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 11

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Observation e6b4599a-c844-4754-81df-c3df92f0fbde · outbound

This paper cites A pan-organ vision-language model for generalizable 3d ct representations.medRxiv, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A pan-organ vision-language model for generalizable 3d ct representations.medRxiv, 2025

Reference 12

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Observation 46a322a2-3223-4eaa-be1f-1e4483456d54 · outbound

This paper cites A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities.CoRR, 2024.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities.CoRR, 2024

Reference 13

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Observation 321f2fc0-f3f0-4a60-b18a-c058c6577e0b · outbound

This paper cites Simcrop: Radiograph representation learning with similarity-driven cross-granularity pre-training.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Simcrop: Radiograph representation learning with similarity-driven cross-granularity pre-training

Reference 14

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Observation e78908c5-3e3a-4498-9168-53c4301159f8 · outbound

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

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Learning transferable visual models from natural language supervision

Reference 15

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Observation f2209cfc-e13b-4f3c-9626-b86a2b3a829b · outbound

This paper cites Beyond the Failures: Rethinking Foundation Models in Pathology.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Beyond the Failures: Rethinking Foundation Models in Pathology

Reference 16

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Observation 923ea837-1eb1-49e1-9252-03032bf9afe4 · outbound

This paper cites Multi-modal masked autoencoders for medical vision-and-language pre-training.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Multi-modal masked autoencoders for medical vision-and-language pre-training

Reference 17

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Observation bc4f3099-dace-4ff0-82f0-a316cc0f2751 · outbound

This paper cites Large-scale 3d medical image pre-training with geometric context priors.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Large-scale 3d medical image pre-training with geometric context priors.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 18

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Observation 7e8ff825-1418-4aa2-adc9-fdaeb38091e3 · outbound

This paper cites Foundation models in radiology: What, how, why, and why not.Radiology, 314(2):e240597, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Foundation models in radiology: What, how, why, and why not.Radiology, 314(2):e240597, 2025

Reference 19

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Observation 2dacdb40-dcaa-4c8a-9750-12ba071e50c5 · outbound

This paper cites More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the llm era.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the llm era

Reference 20

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Observation 2fe8da1c-d611-4a27-b58a-e710edd09d0d · outbound

This paper cites A reality check of vision-language pre- training in radiology: Have we progressed using text? InInternational Conference on Information Processing in Medical Imaging, pages 294–309.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A reality check of vision-language pre- training in radiology: Have we progressed using text? InInternational Conference on Information Processing in Medical Imaging, pages 294–309

Reference 21

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Observation c14fdb20-e914-4970-a0cb-0ad60780bf5c · outbound

This paper cites Contrastive learning of medical visual representations from paired images and text.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Contrastive learning of medical visual representations from paired images and text

Reference 22

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Observation 93ccee28-1b0a-43cc-bbe7-c21ce52df6e6 · outbound

This paper cites Gradient surgery for multi-task learning.Advances in neural information processing systems, 33:5824–5836, 2020.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Gradient surgery for multi-task learning.Advances in neural information processing systems, 33:5824–5836, 2020

Reference 23

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Observation 16410133-b044-457e-95c4-5ea6f41d3b07 · outbound

This paper cites Multi-Task Learning as a Bargaining Game.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Multi-Task Learning as a Bargaining Game

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Observation 6e2d02a8-4655-4b74-8c88-78d6d8d9325e · outbound

This paper cites Magface: A universal representation for face recognition and quality assessment.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Magface: A universal representation for face recognition and quality assessment

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Observation 8f75c799-b674-4e1c-8ba8-95160da53b4a · outbound

This paper cites Normface: L2 hypersphere embedding for face verification.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Normface: L2 hypersphere embedding for face verification

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Observation b34aa7a2-409d-463d-8d25-1e3ee198ef15 · outbound

This paper cites Merlin: A vision language foundation model for 3d computed tomography.Research Square, pages rs–3, 2024.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Merlin: A vision language foundation model for 3d computed tomography.Research Square, pages rs–3, 2024

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Observation e1478e0e-239f-4327-b189-c3a26c1f0891 · outbound

This paper cites Large language model-based uncertainty-adjusted label extraction for artificial intelligence model development in upper extremity radiography.European Radiology, pages 1–12, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Large language model-based uncertainty-adjusted label extraction for artificial intelligence model development in upper extremity radiography.European Radiology, pages 1–12, 2025

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Observation 5f2ffc25-b722-4fcd-bf3b-429a19524dc2 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

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Observation df0102a5-2c21-492f-9eae-4ddf6277fcf7 · outbound

This paper cites Deep Learning is Robust to Massive Label Noise.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Deep Learning is Robust to Massive Label Noise

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Observation 5474a5e1-0b58-4b4d-98ba-0893c677a7ef · outbound

This paper cites The class imbalance problem: A systematic study.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training The class imbalance problem: A systematic study

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Observation d861ef43-08ec-445e-bbc6-755e939ba7e9 · outbound

This paper cites A systematic study of the class imbalance problem in convolutional neural networks.Neural networks, 106:249–259, 2018.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A systematic study of the class imbalance problem in convolutional neural networks.Neural networks, 106:249–259, 2018

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Observation 988450c8-f5cc-4977-8eaa-072731f4c66a · outbound

This paper cites Large-scale and fine-grained vision-language pre-training for enhanced ct image understanding.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Large-scale and fine-grained vision-language pre-training for enhanced ct image understanding

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Observation 4c035346-3e4a-4636-99dc-7ceb644f5837 · outbound

This paper cites Making the most of text semantics to improve biomedical vision–language processing.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Making the most of text semantics to improve biomedical vision–language processing

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Observation ea761b84-7493-4872-9712-11119a682607 · outbound

This paper cites Openclip.Zenodo, 2021.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Openclip.Zenodo, 2021

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:63909a6a58fdbb3ca0af7784d88d3343dbb448f79f087254796eacdbe02a9511

Observation 1d8e3590-5b03-47e3-a7ad-48d219d1b57c · outbound

This paper cites A multimodal biomedical foundation model trained from fifteen million image–text pairs.NEJM AI, 2(1):AIoa2400640, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training A multimodal biomedical foundation model trained from fifteen million image–text pairs.NEJM AI, 2(1):AIoa2400640, 2025

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:5f9a06fe041270465b2efd32230c8e191a5d314a2e1977fe7e2e0fc2e228f322

Observation 41515c9d-78eb-4bda-9f62-a0d8bd3239c4 · outbound

This paper cites DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:91e9db9513be8495e74b505cdff4d07c426bb57bc25183b1494b8dc5f4bb1925

Observation d5aa47d5-251a-4ff8-838b-86101a565054 · outbound

This paper cites X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:9853df6d363c91a0ec73d16c275197e4a919f16906e76cfa6895db3c321bc431

Observation 1cf2afef-6599-4802-8387-1e070825e909 · outbound

This paper cites Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:f43b35826aaa1a56c3253ca25b5aa39315e719b63dc94d0a92241fa8535872b9

Observation ffc2b955-d1c5-4eed-8635-3b51cb8d556f · outbound

This paper cites Towards scalable language-image pre-training for 3d medical imaging.arXiv preprint arXiv:2505.21862, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Towards scalable language-image pre-training for 3d medical imaging.arXiv preprint arXiv:2505.21862, 2025

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:bc6540b937b175ddb59379739da3f88ccb7785a0b15d669581003dd95ff935a3

Observation de847fa9-63ac-4c60-bb75-8f396d52f5a0 · outbound

This paper cites Boosting vision semantic density with anatomy normality modeling for medical vision-language pre-training.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Boosting vision semantic density with anatomy normality modeling for medical vision-language pre-training

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:09b4a184d2d336157c3aa1ec1eaffec4ad5b7e2b0efbdeba878f3d6ceaea9ada

Observation 6ab71646-a41a-4bc9-bc3d-d4be968b85b8 · outbound

This paper cites Bridged semantic alignment for zero-shot 3d medical image diagnosis.arXiv preprint arXiv:2501.03565, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Bridged semantic alignment for zero-shot 3d medical image diagnosis.arXiv preprint arXiv:2501.03565, 2025

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Observation eee32376-69a2-4c5f-973a-67da29efd8c7 · outbound

This paper cites Unified supervision for vision-language modeling in 3d computed tomography.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unified supervision for vision-language modeling in 3d computed tomography

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:6e31e1f9669944257a79083d782f88500a3a56827e3a167493b8c1da97877718

Observation 362d7d37-b558-42b1-bc4c-f8196b720f42 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training On the Opportunities and Risks of Foundation Models

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:bdcf562894ca506cd93c6adcbba92f07dbe38f8da358d76878c542aaf1ce248e

Observation 1a1c7c92-93bf-4150-bdd7-c27f6c785bcd · outbound

This paper cites Pillar-0: A new frontier for radiology foundation models.arXiv preprint arXiv:2511.17803, 2025.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Pillar-0: A new frontier for radiology foundation models.arXiv preprint arXiv:2511.17803, 2025

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:e0d01c0ca6febe6513e7e0b12a32fb3dc277082cee52ef65e2868cb2e76e8e73

Observation f64f71f3-07eb-44e7-8e1f-41d7bca83f20 · outbound

This paper cites The Kinetics Human Action Video Dataset.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training The Kinetics Human Action Video Dataset

Reference 46

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Observation e94dc6d8-3a38-4307-b5ce-6aa7050e866a · outbound

This paper cites Scaling supervision for free: Leveraging universal segmentation models for enhanced medical image diagnosis.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Scaling supervision for free: Leveraging universal segmentation models for enhanced medical image diagnosis

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:ed9776256cefb0d4b65d1abf9a5566413d1aae9f2e860f7531ced026cec3c741

Observation 6bde86e1-ccea-4d56-ac1b-f466512ff5b1 · outbound

This paper cites Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5):e230024, 2023.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5):e230024, 2023

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Observation ab48f381-98f8-4500-aa41-80a3f046ca29 · outbound

This paper cites Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.Medical image analysis, 67:101857, 2021.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.Medical image analysis, 67:101857, 2021

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:e3747ef96b40e54c1f547cbf6270e4b9243740bb604a85ef2f3488fcffbc1d5a

Observation eb9d83bd-f38b-4c65-af67-1a49bf490570 · outbound

This paper cites Qwen Technical Report.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Qwen Technical Report

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:95149304d2b991921ebe30cae91af547d54a6b2519cba423601cd6fb28bec5ba

Observation 11a5729a-a29b-4485-9519-51298e7e4b62 · outbound

This paper cites Doubao: A large language model by bytedance.https://www.doubao.com, 2023.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Doubao: A large language model by bytedance.https://www.doubao.com, 2023

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Observation 0f8255e8-556f-4d17-b3b0-f65f31246449 · outbound

This paper cites high attenuation.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training high attenuation

Reference 52

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Observation 3d5cee17-6275-4a58-9fd8-32f80cd0ee53 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 53

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Observation 363ca77b-b909-418b-9256-ad86f50627cf · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 54

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Observation c1272456-255c-41eb-ae3f-e3e220082b58 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 55

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:39b17f58f7614289261b13f9111d42ecd742450b565d218a426f0cb3c5ce7f75

Observation da91a7b1-66a7-4a2c-814f-9e0f2bf41c58 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 56

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Observation 7726464e-55b2-438e-bdc4-2ad42f53a984 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 57

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Observation 8eff7cef-6808-4fd4-9977-951b92bb0e2e · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 58

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Observation fe29f045-af99-47f1-9d49-12a2b7ef1806 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 59

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:1c873451f2541db917d958bd7ee8d701a0bdcca3d98993f17f2f083561b5ac59

Observation e4ece5f9-aad0-4080-b69b-462499651a68 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 60

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Observation 9d5efcb9-0cf2-4732-90b2-7f08f2122bfe · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 61

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:a807724ce445f6f2194a5d48eea0534bd9a49ca6840759a9d93a63eb84439cc9

Observation 9c6a1a85-d340-4288-9574-836027019b8f · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 62

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Observation 1675efc5-c057-4dce-a08b-d8de229413a4 · outbound

This paper cites Example: 0,1,0,0,0,1,0,1,0,0,0 G.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Example: 0,1,0,0,0,1,0,1,0,0,0 G

Reference 63

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Observation 14659113-2ae4-48bc-90c1-c2cc1161392a · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 64

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Observation 31d26a24-c647-45f6-a481-f79e15c0e613 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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Observation 28a04fdb-08d0-4932-9111-1404a6e17e82 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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Observation f30d88c9-5a18-46ba-ab7b-ee55358f78a6 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:3fea1d245f28b066588b0ce0e79057f19f1005f44e59b4bb6bb6c886b46e384e

Observation 42d388b6-9d27-4933-9c04-4431f49febd8 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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Observation ed5d0770-0e65-479f-8523-78cb06e2a09b · outbound

This paper cites - Use 1 if the finding is explicitly present.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training - Use 1 if the finding is explicitly present

Reference 69

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Observation 693c2bdd-180f-4eda-b538-9d1b28763406 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 70

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Observation 01571320-cea7-41c8-b00c-7b20c7227aed · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:fb2a01fda22dc7d1942756c5505d46d13a50f2cca7a6a1c88e38cda99feece11

Observation f0be5b86-f9ce-4094-a349-3236c0ec7150 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c74d2609-8ac0-4baa-a68b-fcc37298d32f · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 73

Resolution
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Unavailable: canonical work link unavailable.

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Observation bd382e73-5c59-4406-b00c-8896908938e4 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 74

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 474a03d6-9344-4f76-85f9-d45ce5f649a9 · outbound

This paper cites an unresolved cited work.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Unresolved cited work

Reference 75

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Observation 715b0cab-ff4e-4928-b5b7-0e3f0b3d8871 · outbound

This paper cites - Use 1 if the finding is explicitly present.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training - Use 1 if the finding is explicitly present

Reference 76

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 2f55bffb-5a51-49f5-9683-72554ede7c30 · inbound

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification cites this paper.

ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training

Reference 23

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local_arxiv, observed 2026-07-02T08:06:47.789418Z

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