Paper Citation Record · LEDGER

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training

As of 21 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 3 inbound Pith citation observations for arXiv:2501.15579.

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

pith.paper-citation-record.v1
2501.15579 v2

Coverage vector

measured 93 of 93 reference resolution

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One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

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External citation measurements

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Outbound references

Observation 9f3db8a8-ebc8-461b-b1c2-0823cd4d531d · outbound

This paper cites NPJ Digital Medicine 7(1), 203 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training NPJ Digital Medicine 7(1), 203 (2024)

Reference 1

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This paper cites : A multimodal biomedical foundation model trained from fifteen million image–text pairs.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : A multimodal biomedical foundation model trained from fifteen million image–text pairs

Reference 2

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This paper cites In: Inter- national Conference on Medical Image Computing and Computer-Assisted Intervention, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Inter- national Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 3

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This paper cites 1181–1193 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training 1181–1193 (2023)

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This paper cites Nature medicine 25(9), 1337–1340 (2019).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Nature medicine 25(9), 1337–1340 (2019)

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This paper cites Medical Image Analysis 79, 102470 (2022).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Medical Image Analysis 79, 102470 (2022)

Reference 6

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This paper cites Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks

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This paper cites arXiv preprint arXiv:2312.12936 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training arXiv preprint arXiv:2312.12936 (2023)

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This paper cites In: International Conference on Machine Learning, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: International Conference on Machine Learning, pp

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This paper cites Advances in Neural Information Processing Systems 35, 18157– 18167 (2022).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Advances in Neural Information Processing Systems 35, 18157– 18167 (2022)

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This paper cites Advances in Neural Information Processing Systems 36 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Advances in Neural Information Processing Systems 36 (2024)

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This paper cites IEEE journal of biomedical and health informatics 23(2), 538–546 (2018).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training IEEE journal of biomedical and health informatics 23(2), 538–546 (2018)

Reference 12

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This paper cites : Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

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This paper cites Nucleic acids research 32(suppl 1), 267–270 (2004).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Nucleic acids research 32(suppl 1), 267–270 (2004)

Reference 14

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Bethesda (MD) (2003)

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This paper cites Advances in neural information processing systems 36 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Advances in neural information processing systems 36 (2024)

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This paper cites Scientific data 6(1), 317 (2019).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific data 6(1), 317 (2019)

Reference 17

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Observation 1aa1d605-7896-4e6b-84da-1cc70c0f3602 · outbound

This paper cites Journal of the American Medical Informatics Association 23(2), 304–310 (2016).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Journal of the American Medical Informatics Association 23(2), 304–310 (2016)

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 20

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This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 21

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Detecting Statistical Interactions from Neural Network Weights

Reference 22

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: International Conference on Machine Learning, pp

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This paper cites Nature machine intelligence 1(5), 206–215 (2019).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Nature machine intelligence 1(5), 206–215 (2019)

Reference 24

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Nature Medicine, 1–12 (2024)

Reference 25

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Quantitative imaging in medicine and surgery 4(6), 475 (2014)

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This paper cites Journal of Open Source Software 5(46), 1979 (2020).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Journal of Open Source Software 5(46), 1979 (2020)

Reference 27

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Findings of the Association for Computational Linguistics: EMNLP 2020, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the 18th BioNLP Workshop and Shared Task, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Database: The Journal of Biological Databases and Curation 2016, 068 (2016)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Interna- tional Conference on Learning Representations (2017)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: International Conference on Machine Learning, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Meta-Radiology 1(3), 100033 (2023)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : An empirical study of training end-to-end vision- and-language transformers

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific data 5(1), 1–10 (2018)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: International Conference on Machine Learning, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: International Conference on Learning Representations (2023)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training GPT-4 Technical Report

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : Aug- menting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific Data 9(1), 429 (2022)

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp

Reference 46

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the Acl Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation And/or Summarization, pp

Reference 47

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Text Summarization Branches Out, pp

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 49

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An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 50

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This paper cites https://kaggle.com/competitions/siim-acr-pneumothorax-segmentation.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training https://kaggle.com/competitions/siim-acr-pneumothorax-segmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:36.162891Z

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

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This paper cites Sci- entific Reports 10(1), 19549 (2020) https://doi.org/10.1038/s41598-020-76550 -z.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Sci- entific Reports 10(1), 19549 (2020) https://doi.org/10.1038/s41598-020-76550 -z

Reference 52

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

Observation 9f204ede-af4f-49ba-9192-1f068290f5cf · outbound

This paper cites Lung and Colon Cancer Histopathological Image Dataset (LC25000).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 53

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Unavailable: canonical work link unavailable.

Observation c732679f-a564-4239-9c3d-62695a6790c4 · outbound

This paper cites Kaggle (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Kaggle (2023)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:36.135008Z

Source-reported events for the cited work

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

Observation 363ec81b-a3d0-46bb-8c6d-7fbc00a4518b · outbound

This paper cites In: Workshop on Medical Image Learning with Limited and Noisy Data, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Workshop on Medical Image Learning with Limited and Noisy Data, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:36.020340Z

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

Observation 3f407dd7-130a-43e3-9c0e-19b7a4e54382 · outbound

This paper cites : Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.986618Z

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

Observation e9b7f9d5-73df-4895-a109-622aebb4ee4e · outbound

This paper cites https://www.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training https://www

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.975866Z

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Observation 64e3ecf6-0377-46c7-9c2d-744003aaa5d8 · outbound

This paper cites Accessed: 2023-10-19 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Accessed: 2023-10-19 (2023)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.963948Z

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Observation 24f28662-7e3f-44a6-b307-eb44b6a88554 · outbound

This paper cites In: Proceedings of the Fifth International Workshop on Digital Mammography, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the Fifth International Workshop on Digital Mammography, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.949325Z

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Observation baa95af0-c2ad-4a94-a398-686d8e5f640c · outbound

This paper cites The Cancer Imaging Archive (2016).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training The Cancer Imaging Archive (2016)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.936746Z

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Observation c53c275e-f819-4cce-9147-650e7c277078 · outbound

This paper cites Kaggle (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Kaggle (2024)

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-10T14:13:33.281625Z

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Observation 4ec02e5c-90ab-4592-b8bc-5e8ea34f8e79 · outbound

This paper cites Biomedical Signal Processing and Control 87, 105448 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Biomedical Signal Processing and Control 87, 105448 (2024)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.918436Z

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Observation 498d7128-a223-47f8-a9d7-63af142f9c45 · outbound

This paper cites Data 8(2), 29 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Data 8(2), 29 (2023)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.781059Z

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Observation 888c9cff-b465-4b07-be02-b63021f65560 · outbound

This paper cites : A real-world dataset and benchmark for foundation model adaptation in medical image classification.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : A real-world dataset and benchmark for foundation model adaptation in medical image classification

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.693430Z

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

Observation 0ab22cef-3388-46d1-960f-668beedaaf4d · outbound

This paper cites Scientific Data 10(1), 277 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific Data 10(1), 277 (2023)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.680462Z

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Observation ca01f205-f806-4b32-81ce-cc2d794213a9 · outbound

This paper cites an unresolved cited work.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:13:35.667379Z

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Observation ff12b9a6-9b9a-49f0-81d2-d000c8a0afd6 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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Resolution: unresolved; no resolver link, observed 2026-08-10T14:13:33.349168Z

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Unavailable: canonical work link unavailable.

Observation 146cf9c4-2187-483e-9e35-25224fe1c4d3 · outbound

This paper cites https: //kaggle.com/competitions/diabetic-retinopathy-detection.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training https: //kaggle.com/competitions/diabetic-retinopathy-detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.646339Z

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Observation 9d566e13-566b-41e4-aab0-415f4185579f · outbound

This paper cites Scientific data 5(1), 1–9 (2018).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific data 5(1), 1–9 (2018)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.630694Z

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Observation 328b9504-5212-40d7-a8fb-ddf9dd96fb5a · outbound

This paper cites Medical Physics 51(4), 3110–3123 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Medical Physics 51(4), 3110–3123 (2024)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.616981Z

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

Observation db9c1163-f226-4941-88e8-667228ad2f69 · outbound

This paper cites Kaggle (2022).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Kaggle (2022)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.541369Z

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Observation 21fece47-500b-4d87-8c8a-878b93424624 · outbound

This paper cites In: Proceedings of the 8th ACM on Multimedia Systems Conference, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the 8th ACM on Multimedia Systems Conference, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.449780Z

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Observation dd091dfc-437c-441c-a8a0-9ec2ac87e736 · outbound

This paper cites International journal of computer assisted radiology and surgery 9, 283–293 (2014).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training International journal of computer assisted radiology and surgery 9, 283–293 (2014)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.401985Z

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

Observation e89f80a6-311e-47bf-a63c-3ad74e723df9 · outbound

This paper cites : Automatic detection of 39 fundus diseases and condi- tions in retinal photographs using deep neural networks.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : Automatic detection of 39 fundus diseases and condi- tions in retinal photographs using deep neural networks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.390637Z

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

Observation b062efaf-6c00-4a64-86cc-c3206b15d0d8 · outbound

This paper cites Scientific Data 7(1), 283 (2020) https://doi.org/10.1038/s41597-020-00622-y 35.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific Data 7(1), 283 (2020) https://doi.org/10.1038/s41597-020-00622-y 35

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Resolution: unresolved; no resolver link, observed 2026-08-10T14:13:33.441091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab15517-3d06-4f06-8bb6-2030db049869 · outbound

This paper cites In: Benchmark- ing, Measuring, and Optimizing: Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15–16, 2020, Revised Selected Papers 3, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Benchmark- ing, Measuring, and Optimizing: Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15–16, 2020, Revised Selected Papers 3, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.378216Z

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

Observation 50c80700-57a2-4b2b-8ab1-1268cf26b98d · outbound

This paper cites Data in brief 28, 104863 (2020).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Data in brief 28, 104863 (2020)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.364556Z

Source-reported events for the cited work

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

Observation 0264c03f-19f4-43c4-808b-33f1ea14c569 · outbound

This paper cites : PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.351891Z

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

Observation 76fb11e0-4fd9-43db-bdbf-cdae3be01ed0 · outbound

This paper cites Scientific Data 10(1), 41 (2023).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific Data 10(1), 41 (2023)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.340058Z

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

Observation 00e282ee-958b-44cd-8580-d448ce16e4c1 · outbound

This paper cites Kaggle (2021).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Kaggle (2021)

Reference 80

Resolution: malformed identifier; no resolver link, observed 2026-08-10T14:13:33.621683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dc8484-5f09-4714-9767-e0f4fb77b39d · outbound

This paper cites Electronics (2017) https://doi.org/10.6084/m9.f igshare.1512427.v8.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Electronics (2017) https://doi.org/10.6084/m9.f igshare.1512427.v8

Reference 81

Resolution: malformed identifier; no resolver link, observed 2026-08-10T14:13:33.646460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123ac7c8-3e6b-4a48-b7bb-e27be73fbf8c · outbound

This paper cites Kaggle (2020).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Kaggle (2020)

Reference 82

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T14:13:34.258174Z

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Observation cfad80b5-8b60-4a24-b556-e75ce594f04c · outbound

This paper cites https://www.kaggle .com/datasets/ahmedhamada0/brain-tumor-detection?select=no.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training https://www.kaggle .com/datasets/ahmedhamada0/brain-tumor-detection?select=no

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.237703Z

Source-reported events for the cited work

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

Observation dd3c2919-bc14-4631-8f48-a48a1a47dd48 · outbound

This paper cites In: 2022 Interna- tional Conference on Computer Communication and Informatics (ICCCI), pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: 2022 Interna- tional Conference on Computer Communication and Informatics (ICCCI), pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.134387Z

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

Observation 630a387d-c1c6-4d39-97e7-3a9ed09109cd · outbound

This paper cites Frontiers in Medicine 8, 729287 (2022) https: //doi.org/10.3389/fmed.2021.729287.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Frontiers in Medicine 8, 729287 (2022) https: //doi.org/10.3389/fmed.2021.729287

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Resolution: unresolved; no resolver link, observed 2026-08-10T14:13:33.686123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e6e643-8ef9-4dc8-9cb2-2a37d1f1c6eb · outbound

This paper cites Database 2022, 093 (2022).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Database 2022, 093 (2022)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.079389Z

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

Observation f5cd2ece-9ab7-434a-8617-a0031ca4c49b · outbound

This paper cites Nature genetics 45(10), 1113–1120 (2013).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Nature genetics 45(10), 1113–1120 (2013)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.066372Z

Source-reported events for the cited work

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

Observation ef0ec7f5-6a40-41ce-93e0-9a2943c4f70e · outbound

This paper cites : 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.053280Z

Source-reported events for the cited work

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

Observation c3b27e67-5ee9-4aeb-b516-4d31fee0ba0e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.041312Z

Source-reported events for the cited work

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

Observation bb413445-765c-4f46-ae33-d8ef97fb70f2 · outbound

This paper cites Scientific Data 11(1), 148 (2024).

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training Scientific Data 11(1), 148 (2024)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:35.028566Z

Source-reported events for the cited work

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

Observation 72a5ef90-26c7-48d9-b0ab-1780246f2688 · outbound

This paper cites : The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:34.960686Z

Source-reported events for the cited work

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

Observation 42a32afd-b72d-470f-b1f7-249cfd856669 · outbound

This paper cites : LAION-5B: An open large-scale dataset for training next generation image-text models.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training : LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:13:34.792090Z

Source-reported events for the cited work

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

Observation e07b10a8-cd70-46dc-9a87-8631f26793c4 · outbound

This paper cites no tumor.

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training no tumor

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Resolution: unresolved; no resolver link, observed 2026-08-10T14:13:33.722699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4a13254b-659f-40e1-990c-5ae073f8bfd6 · inbound

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation cites this paper.

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training

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Resolution: unresolved; no resolver link, observed 2026-08-06T22:09:08.348110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4229ab63-1748-4d17-be46-31c65034c436 · inbound

Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey cites this paper.

Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training

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Resolution: verified exact; local_arxiv, observed 2026-08-06T19:01:16.899310Z

Source-reported events for the cited work

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

Observation e52e91fd-c390-47e2-90e3-4195dba0c75d · inbound

Foundational values for foundation models cites this paper.

Foundational values for foundation models An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:21.542438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.