MOOZY: A Patient-First Foundation Model for Computational Pathology | Paper Citation Record

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This paper cites arXiv preprint arXiv:2602.03998 (2026).

MOOZY: A Patient-First Foundation Model for Computational Pathology arXiv preprint arXiv:2602.03998 (2026)

Reference 1

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This paper cites IEEE Transactions on Medical Imaging38(2), 550–560 (2019).https://doi.org/10.1109/TMI.2018.2867350.

MOOZY: A Patient-First Foundation Model for Computational Pathology IEEE Transactions on Medical Imaging38(2), 550–560 (2019).https://doi.org/10.1109/TMI.2018.2867350

Reference 2

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This paper cites Jama318(22), 2199–2210 (2017).

MOOZY: A Patient-First Foundation Model for Computational Pathology Jama318(22), 2199–2210 (2017)

Reference 3

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This paper cites arXiv preprint arXiv:2512.21331 (2025).

MOOZY: A Patient-First Foundation Model for Computational Pathology arXiv preprint arXiv:2512.21331 (2025)

Reference 4

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This paper cites Journal of Clinical Oncology42(30), 3550–3560 (oct 2024).https://doi.org/10.1200/ JCO.23.02641,https://doi.org/10.1200/JCO.23.02641.

MOOZY: A Patient-First Foundation Model for Computational Pathology Journal of Clinical Oncology42(30), 3550–3560 (oct 2024).https://doi.org/10.1200/ JCO.23.02641,https://doi.org/10.1200/JCO.23.02641

Reference 5

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MOOZY: A Patient-First Foundation Model for Computational Pathology co / bioptimus / H - optimus-1

Reference 6

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This paper cites Database2022(jan 2022).https://doi.org/10.1093/database/baac093, https://doi.org/10.1093/database/baac093.

MOOZY: A Patient-First Foundation Model for Computational Pathology Database2022(jan 2022).https://doi.org/10.1093/database/baac093, https://doi.org/10.1093/database/baac093

Reference 7

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Observation 6c583d4d-f43e-4712-bb85-d59ed3344423 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

MOOZY: A Patient-First Foundation Model for Computational Pathology Advances in neural information processing systems33, 1877–1901 (2020)

Reference 8

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This paper cites Nature medicine28(1), 154–163 (2022).https://doi.org/10.1038/s41591-021-01620- 2.

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature medicine28(1), 154–163 (2022).https://doi.org/10.1038/s41591-021-01620- 2

Reference 9

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Observation 2c4dd0a8-dd5c-44ea-8c50-1c1b7b609eea · outbound

This paper cites Nature medicine25(8), 1301–1309 (2019).

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature medicine25(8), 1301–1309 (2019)

Reference 10

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This paper cites Advances in neural information processing systems33, 9912–9924 (2020).

MOOZY: A Patient-First Foundation Model for Computational Pathology Advances in neural information processing systems33, 9912–9924 (2020)

Reference 11

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This paper cites In: Proceedings MOOZY: A Patient-First Foundation Model for Computational Pathology 17 of the IEEE/CVF international conference on computer vision.

MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings MOOZY: A Patient-First Foundation Model for Computational Pathology 17 of the IEEE/CVF international conference on computer vision

Reference 12

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

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This paper cites Nature medicine30(3), 850–862 (2024).

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature medicine30(3), 850–862 (2024)

Reference 14

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International conference on machine learning

Reference 15

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature medicine25(10), 1519–1525 (2019)

Reference 17

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This paper cites In: The Twelfth International Conference on Learning Representations (2024),https://openreview.net/forum?id=2dnO3LLiJ1.

MOOZY: A Patient-First Foundation Model for Computational Pathology In: The Twelfth International Conference on Learning Representations (2024),https://openreview.net/forum?id=2dnO3LLiJ1

Reference 18

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This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

MOOZY: A Patient-First Foundation Model for Computational Pathology LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 19

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This paper cites Multimodal Whole Slide Foundation Model for Pathology.

MOOZY: A Patient-First Foundation Model for Computational Pathology Multimodal Whole Slide Foundation Model for Pathology

Reference 20

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MOOZY: A Patient-First Foundation Model for Computational Pathology An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 21

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This paper cites Journal of Proteome Research14(6), 2707–2713 (2015).

MOOZY: A Patient-First Foundation Model for Computational Pathology Journal of Proteome Research14(6), 2707–2713 (2015)

Reference 22

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This paper cites Distilling foundation models for robust and efficient models in digital pathology.

MOOZY: A Patient-First Foundation Model for Computational Pathology Distilling foundation models for robust and efficient models in digital pathology

Reference 23

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MOOZY: A Patient-First Foundation Model for Computational Pathology medRxiv (2023)

Reference 24

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This paper cites Phikon-v2, A large and public feature extractor for biomarker prediction.

MOOZY: A Patient-First Foundation Model for Computational Pathology Phikon-v2, A large and public feature extractor for biomarker prediction

Reference 25

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This paper cites npj Breast Cancer8(1), 28 (mar 2022).https: 18 Kotp et al.

MOOZY: A Patient-First Foundation Model for Computational Pathology npj Breast Cancer8(1), 28 (mar 2022).https: 18 Kotp et al

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This paper cites Advances in neural information processing systems33, 21271–21284 (2020).

MOOZY: A Patient-First Foundation Model for Computational Pathology Advances in neural information processing systems33, 21271–21284 (2020)

Reference 27

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This paper cites Nature Genetics45(6), 580–585 (2013).

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature Genetics45(6), 580–585 (2013)

Reference 28

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MOOZY: A Patient-First Foundation Model for Computational Pathology Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 29

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 31

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MOOZY: A Patient-First Foundation Model for Computational Pathology Gaussian Error Linear Units (GELUs)

Reference 32

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MOOZY: A Patient-First Foundation Model for Computational Pathology Training Compute-Optimal Large Language Models

Reference 33

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This paper cites Journal of Pathology Informatics15, 100357 (2024).

MOOZY: A Patient-First Foundation Model for Computational Pathology Journal of Pathology Informatics15, 100357 (2024)

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MOOZY: A Patient-First Foundation Model for Computational Pathology A self-supervised framework for learning whole slide representations

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MOOZY: A Patient-First Foundation Model for Computational Pathology Medical Image Analysis97, 103289 (2024)

Reference 36

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International conference on machine learning

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)

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MOOZY: A Patient-First Foundation Model for Computational Pathology Song, A., J

Reference 40

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 41

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MOOZY: A Patient-First Foundation Model for Computational Pathology Scaling Laws for Neural Language Models

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MOOZY: A Patient-First Foundation Model for Computational Pathology Training state-of-the-art pathology foundation models with orders of magnitude less data

Reference 43

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature cancer1(8), 789–799 (2020)

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF international conference on computer vision

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MOOZY: A Patient-First Foundation Model for Computational Pathology Problemy Peredachi Informatsii23(2), 9–16 (1987)

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

Reference 47

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MOOZY: A Patient-First Foundation Model for Computational Pathology 5281/zenodo.15081614

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2025)

Reference 49

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 50

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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MOOZY: A Patient-First Foundation Model for Computational Pathology A Foundational Multimodal Vision Language AI Assistant for Human Pathology

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature medicine30(3), 863–874 (2024)

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature biomedical engineering5(6), 555–570 (2021)

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MOOZY: A Patient-First Foundation Model for Computational Pathology Journal of Machine Learning Research9(86), 2579–2605 (2008)

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MOOZY: A Patient-First Foundation Model for Computational Pathology UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

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MOOZY: A Patient-First Foundation Model for Computational Pathology Hibou: A Family of Foundational Vision Transformers for Pathology

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation c5933a74-bd34-4b22-9e3e-e8c346251835 · outbound

This paper cites npj Precision Oncology8(1), 56 (2024).https://doi.org/10.1038/s41698- 024-00539-4,https://doi.org/10.1038/s41698-024-00539-4.

MOOZY: A Patient-First Foundation Model for Computational Pathology npj Precision Oncology8(1), 56 (2024).https://doi.org/10.1038/s41698- 024-00539-4,https://doi.org/10.1038/s41698-024-00539-4

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Observation 69485cbb-da79-44f6-9834-81dd8f5ddc15 · outbound

This paper cites Cancers14(10), 2489 (2022).https://doi.org/10.3390/cancers14102489,https://doi.org/10.

MOOZY: A Patient-First Foundation Model for Computational Pathology Cancers14(10), 2489 (2022).https://doi.org/10.3390/cancers14102489,https://doi.org/10

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Resolution: verified exact; doi, observed 2026-07-13T17:19:46.827135Z

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Observation 0e2482f1-7a3f-4cb1-abc4-cc721ce3031b · outbound

This paper cites arXiv preprint arXiv:2507.05742 (2025).

MOOZY: A Patient-First Foundation Model for Computational Pathology arXiv preprint arXiv:2507.05742 (2025)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation 968f6ac3-9011-42c8-bbea-0c88d9d31519 · outbound

This paper cites Computers in Biology and Medicine186, 109621 (2025).

MOOZY: A Patient-First Foundation Model for Computational Pathology Computers in Biology and Medicine186, 109621 (2025)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation dfbfa90d-12d1-4756-90c7-d857df9c8b6e · outbound

This paper cites Scientific Re- ports13(1), 3970 (mar 2023).https://doi.org/10.1038/s41598-023-30497-z.

MOOZY: A Patient-First Foundation Model for Computational Pathology Scientific Re- ports13(1), 3970 (mar 2023).https://doi.org/10.1038/s41598-023-30497-z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 011f8275-08d0-45db-ae20-511ec0bf048f · outbound

This paper cites Scientific Reports11(1), 1–15 (2021).https://doi.org/10.1038/s41598-021-93746-z,https://doi.

MOOZY: A Patient-First Foundation Model for Computational Pathology Scientific Reports11(1), 1–15 (2021).https://doi.org/10.1038/s41598-021-93746-z,https://doi

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Resolution: verified exact; doi, observed 2026-07-13T17:19:46.771101Z

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Observation 226de200-78aa-40ac-9ba1-54927fe35dc6 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MOOZY: A Patient-First Foundation Model for Computational Pathology DINOv2: Learning Robust Visual Features without Supervision

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation c552df4f-cec4-449a-b004-f21f2cca8ced · outbound

This paper cites Cytometry Part A91(11), 1078–1087 (oct 2017).https://doi.org/10.1002/cyto.a.23244, https://doi.org/10.1002/cyto.a.23244.

MOOZY: A Patient-First Foundation Model for Computational Pathology Cytometry Part A91(11), 1078–1087 (oct 2017).https://doi.org/10.1002/cyto.a.23244, https://doi.org/10.1002/cyto.a.23244

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Resolution: verified exact; doi, observed 2026-07-13T17:19:46.781160Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0833bab9-e9a4-419f-a451-dae6041343cb · outbound

This paper cites In: International Conference on Learning Representations (2022).

MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Learning Representations (2022)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation 12ab2093-ed20-46db-a055-5651949376c9 · outbound

This paper cites plus.c.5983795.v1,https://doi.org/10.25452/figshare.plus.c.5983795.

MOOZY: A Patient-First Foundation Model for Computational Pathology plus.c.5983795.v1,https://doi.org/10.25452/figshare.plus.c.5983795

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Resolution: malformed identifier; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation 3b1051d4-b5a1-4038-9733-45495bd26d6e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MOOZY: A Patient-First Foundation Model for Computational Pathology SAM 2: Segment Anything in Images and Videos

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation b4bc67c9-0ca5-423a-81e4-a4742df19080 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Scientific Data9(1), 55 (2022).https://doi.org/10.1038/s41597- 022-01157-0,https://doi.org/10.1038/s41597-022-01157-0

Reference 71

Resolution: malformed identifier; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation d334d75a-2ab7-4a93-b174-307ce87acd60 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Unresolved cited work

Reference 72

Resolution: verified exact; doi, observed 2026-07-13T17:19:46.763802Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7037c6db-3bf2-4774-8507-76a97bafd0ac · outbound

This paper cites In: International Conference on Learning Representations (2019).

MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Learning Representations (2019)

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 4314dced-3d26-4a0f-bc37-f47fe4a290aa · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation c9420291-6b9a-4291-bf9d-fb32cc7d9bac · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Unresolved cited work

Reference 75

Resolution: verified exact; doi, observed 2026-07-13T17:19:46.781152Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c220cf2-60c2-4997-b3f5-e1185ab7cb82 · outbound

This paper cites PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

MOOZY: A Patient-First Foundation Model for Computational Pathology PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation 839fd0cb-2d5e-48ff-a736-965042510e37 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Proceedings of Machine Learning Research, vol

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 71045d13-91f8-40f2-829f-54d89dadfca5 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Advances in neural information processing systems34, 2136–2147 (2021)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 7c258856-7410-480e-9913-99a06200f01d · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology DINOv3

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 8fcc1c6b-1810-43dc-a33d-f2d43f10825b · outbound

This paper cites The Lancet395(10221), 350–360 (2020).

MOOZY: A Patient-First Foundation Model for Computational Pathology The Lancet395(10221), 350–360 (2020)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation b7d49e72-b83d-4837-aa5b-07c123912494 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation ecebdf8c-26d7-43e4-87c1-f8592536fe80 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: 2016 IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 832481af-3590-4df4-9e17-aa7e62d7583f · outbound

This paper cites an unresolved cited work.

MOOZY: A Patient-First Foundation Model for Computational Pathology Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 759179f3-0fb7-4b64-b9c9-21db6af6924d · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: 2021 IEEE/CVF International Conference on Com- 22 Kotp et al

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Observation 4ee9f0db-1cbb-4093-a60f-57be5d77d13a · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Molecular-driven Foundation Model for Oncologic Pathology

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 60bac04d-a935-4bd7-92d5-1ae87ce9b5ea · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: Advances in neural infor- mation processing systems

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation c45b7673-eacb-4ace-8a76-e622130c10db · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Virchow: A Million-Slide Digital Pathology Foundation Model

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Unavailable: canonical work link unavailable.

Observation fd425748-da8e-47da-9233-216c7fd7464c · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Machine Learning

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 911f9144-fca4-400d-ac01-fe92945d900d · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature634(8035), 970–978 (2024)

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Unavailable: canonical work link unavailable.

Observation 165c81a2-6f5f-4e45-9b79-8d1763f94236 · outbound

This paper cites Emergent Abilities of Large Language Models.

MOOZY: A Patient-First Foundation Model for Computational Pathology Emergent Abilities of Large Language Models

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 63a86508-3709-46e9-b0c0-31628de32d3a · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Scientific reports9(1), 1–8 (2019)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 9051f81a-0d51-4588-b988-5106d90cb729 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Artificial Intelli- gence in Medicine

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 03c42a8e-e5f9-4740-88b8-c2ceea9b0592 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology medRxiv (2020).https://doi.org/10.1101/2020.09.29.20199711, https://www.medrxiv.org/content/10.1101/2020.09.29.20199711v1

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Resolution: verified exact; doi, observed 2026-07-13T17:19:46.785940Z

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Observation c5daef1d-d166-4119-9f4a-b23e629f3ae5 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature (2025)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation cb56bd15-804f-4f7f-8336-ecd32eef248d · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Learning Rep- resentations (2023)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b9c27e-1a6a-447a-b074-44e84dd169b5 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology Nature630(8015), 181–188 (2024)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 083ba368-3b27-4f04-8834-89686b08313d · outbound

This paper cites Nature (2024) MOOZY: A Patient-First Foundation Model for Computational Pathology 23.

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature (2024) MOOZY: A Patient-First Foundation Model for Computational Pathology 23

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 95695eaf-22e9-426f-937c-79488269f302 · outbound

This paper cites Nature Communications16, 11406 (2025).

MOOZY: A Patient-First Foundation Model for Computational Pathology Nature Communications16, 11406 (2025)

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Unavailable: canonical work link unavailable.

Observation 1d78fdb7-3678-48d6-8122-a594fddd7101 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6432150-7f5b-4b83-b53e-0577efee2c69 · outbound

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MOOZY: A Patient-First Foundation Model for Computational Pathology In: International Conference on Machine Learning

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Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

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Reference resolution

Outbound references

Pith citing papers