Paper Citation Record · LEDGER

Atlas 2 -- Foundation models for clinical deployment

As of 20 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 3 inbound Pith citation observations for arXiv:2601.05148.

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

pith.paper-citation-record.v1
2601.05148 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:50:42.221728Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:31:20.347618Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T10:48:02.820013Z

Reference resolution

83 of 83 outbound references displayed

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verified fuzzy0
unresolved82
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malformed identifier1
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Outbound references

Observation 55f410b2-2b28-46a1-9c4f-7b8022043edd · outbound

This paper cites Towards Large-Scale Training of Pathology Foundation Models.

Atlas 2 -- Foundation models for clinical deployment Towards Large-Scale Training of Pathology Foundation Models

Reference 1

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Observation 24a0783b-c047-4a11-8410-fd95acb5c5a6 · outbound

This paper cites Atlas: A novel pathology foundation model by mayo clinic, charité, and aignostics, 2025.

Atlas 2 -- Foundation models for clinical deployment Atlas: A novel pathology foundation model by mayo clinic, charité, and aignostics, 2025

Reference 2

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Observation b52c5288-ef94-4de4-90a9-a5410fed9d6c · outbound

This paper cites BACH: Grand challenge on breast cancer histology images.Medical image analysis, 56:122– 139, 2019.

Atlas 2 -- Foundation models for clinical deployment BACH: Grand challenge on breast cancer histology images.Medical image analysis, 56:122– 139, 2019

Reference 3

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Observation d60e2fe4-e37d-4150-8637-213a8710ec2d · outbound

This paper cites Automated gleason grading of prostate cancer tissue microarrays via deep learning, 03 2018.

Atlas 2 -- Foundation models for clinical deployment Automated gleason grading of prostate cancer tissue microarrays via deep learning, 03 2018

Reference 4

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Observation f43fbada-04fc-4427-a8c8-f3ba5b1c8a86 · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.JAMA, 318(22):2199–2210, 2017.

Atlas 2 -- Foundation models for clinical deployment Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.JAMA, 318(22):2199–2210, 2017

Reference 5

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Observation e19be217-a6db-437a-84d1-f95816cbd4d3 · outbound

This paper cites Knowledge distillation: A good teacher is patient and consistent.

Atlas 2 -- Foundation models for clinical deployment Knowledge distillation: A good teacher is patient and consistent

Reference 6

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Observation 406a0b7a-029f-47be-b8eb-44e1e201a6f6 · outbound

This paper cites Morphological and molecular breast cancer profiling through explainable machine learning.

Atlas 2 -- Foundation models for clinical deployment Morphological and molecular breast cancer profiling through explainable machine learning

Reference 7

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Observation c9303671-cad6-40e7-b153-e97f5c57d9a4 · outbound

This paper cites H-optimus-1.https://huggingface.co/bioptimus/H-optimus-1, 2025.

Atlas 2 -- Foundation models for clinical deployment H-optimus-1.https://huggingface.co/bioptimus/H-optimus-1, 2025

Reference 8

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Observation e8bc00f7-c9a1-4b63-adb6-9d4bc05b6091 · outbound

This paper cites Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge.Nature medicine, 28(1):154–163, 2022.

Atlas 2 -- Foundation models for clinical deployment Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge.Nature medicine, 28(1):154–163, 2022

Reference 9

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Observation 0cb80ea8-e5f3-4eca-8e73-32656eeaece5 · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 10

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Observation 8c2441df-8f14-4e11-94cb-0a3afe941f32 · outbound

This paper cites Pathology foundation models are scanner sensitive: Benchmark and mitigation with contrastive scangen loss.

Atlas 2 -- Foundation models for clinical deployment Pathology foundation models are scanner sensitive: Benchmark and mitigation with contrastive scangen loss

Reference 11

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Observation f28ee730-2807-452b-9fd5-3eface4c0740 · outbound

This paper cites Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics.bioRxiv, pages 2025–08, 2025.

Atlas 2 -- Foundation models for clinical deployment Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics.bioRxiv, pages 2025–08, 2025

Reference 12

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Observation 81ad7f9a-8b6b-4221-b2b7-d3955505e7d3 · outbound

This paper cites Chen, Tong Ding, Ming Y.

Atlas 2 -- Foundation models for clinical deployment Chen, Tong Ding, Ming Y

Reference 13

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Observation f0e3ecf6-9186-4dad-b350-13a7b01bf64e · outbound

This paper cites Current Pathology Foundation Models are unrobust to Medical Center Differences.

Atlas 2 -- Foundation models for clinical deployment Current Pathology Foundation Models are unrobust to Medical Center Differences

Reference 14

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Observation 4400c1e9-fb22-4286-93e4-f1ce414d543f · outbound

This paper cites Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.Nature communications, 12(1):1613, 2021.

Atlas 2 -- Foundation models for clinical deployment Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.Nature communications, 12(1):1613, 2021

Reference 15

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Observation 4fb05bee-332a-4026-895b-35051861706a · outbound

This paper cites A multimodal whole-slide foundation model for pathology.Nature Medicine, pages 1–13, 2025.

Atlas 2 -- Foundation models for clinical deployment A multimodal whole-slide foundation model for pathology.Nature Medicine, pages 1–13, 2025

Reference 16

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Observation 5297414a-fd92-412b-9615-e5d6479da303 · outbound

This paper cites RudolfV: A Foundation Model by Pathologists for Pathologists.

Atlas 2 -- Foundation models for clinical deployment RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 17

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Observation 6c341ab8-ab6e-4d40-9720-b98a5bd97946 · outbound

This paper cites Ai-based anomaly detection for clinical-grade histopathological diagnostics.NEJM AI, 1(11):AIoa2400468, 2024.

Atlas 2 -- Foundation models for clinical deployment Ai-based anomaly detection for clinical-grade histopathological diagnostics.NEJM AI, 1(11):AIoa2400468, 2024

Reference 18

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Observation f79a31e2-8527-4426-9a9d-5c3c34dc1bf6 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021.

Atlas 2 -- Foundation models for clinical deployment An image is worth 16x16 words: Transformers for image recognition at scale.ICLR, 2021

Reference 19

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Observation 47a0fbac-5167-445f-8af7-4b96bfe39c69 · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 20

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Observation 13d1ed59-41de-41a9-877a-f660bb4bf7f5 · outbound

This paper cites https://github.com/ kaiko-ai/eva/tree/0.4.2, 2025.

Atlas 2 -- Foundation models for clinical deployment https://github.com/ kaiko-ai/eva/tree/0.4.2, 2025

Reference 21

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Observation fb88c69d-be8e-4c66-bef7-cd1180d8ce0c · outbound

This paper cites Dis- tilling foundation models for robust and efficient models in digital pathology.

Atlas 2 -- Foundation models for clinical deployment Dis- tilling foundation models for robust and efficient models in digital pathology

Reference 22

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Observation 711ddac2-fdb4-4d3a-9415-c575caf09667 · outbound

This paper cites Distilling foundation models for robust and efficient models in digital pathology, 2025.

Atlas 2 -- Foundation models for clinical deployment Distilling foundation models for robust and efficient models in digital pathology, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:29.869099Z

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Observation 43c90bb7-b1a5-49cb-a4fa-961e8ccc1871 · outbound

This paper cites Scaling self-supervised learning for histopathology with masked image modeling.medRxiv, 2023.

Atlas 2 -- Foundation models for clinical deployment Scaling self-supervised learning for histopathology with masked image modeling.medRxiv, 2023

Reference 24

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Observation 0c23d00b-293d-4924-85ea-f244e5f7477d · outbound

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

Atlas 2 -- Foundation models for clinical deployment Phikon-v2, A large and public feature extractor for biomarker prediction

Reference 25

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Observation 1f64b4ea-a660-4496-b393-15367f7e419b · outbound

This paper cites Lempitsky.

Atlas 2 -- Foundation models for clinical deployment Lempitsky

Reference 26

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Observation 05ed0c05-0f21-477e-b1c1-ab64ee7de2be · outbound

This paper cites eva: Evaluation framework for pathology foundation models.

Atlas 2 -- Foundation models for clinical deployment eva: Evaluation framework for pathology foundation models

Reference 27

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Observation 880fb15b-e445-4788-9b7e-24323be6791f · outbound

This paper cites HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images.

Atlas 2 -- Foundation models for clinical deployment HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images

Reference 28

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Observation a82a1769-c754-49d5-998f-c30f7cc14c29 · outbound

This paper cites Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts.

Atlas 2 -- Foundation models for clinical deployment Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts

Reference 29

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Observation 5387fa0c-10f1-48d8-8c64-bf6d5cbe3e29 · outbound

This paper cites https://github.

Atlas 2 -- Foundation models for clinical deployment https://github

Reference 30

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Observation 0b991331-e9ff-43a4-ac07-dccd6f4981d0 · outbound

This paper cites Distilling the knowledge in a neural network.

Atlas 2 -- Foundation models for clinical deployment Distilling the knowledge in a neural network

Reference 31

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Observation 066867d3-5280-4c80-856e-45a9051d55a8 · outbound

This paper cites Attention-based deep multiple instance learning.

Atlas 2 -- Foundation models for clinical deployment Attention-based deep multiple instance learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:31.012851Z

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Observation e4fdab5b-bcf8-4dc1-a9db-18c199bafdc8 · outbound

This paper cites Tomczak, and Max Welling.

Atlas 2 -- Foundation models for clinical deployment Tomczak, and Max Welling

Reference 33

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Observation 1ebd6e0e-c8a1-4dd8-b393-6ca3c691fc07 · outbound

This paper cites Song, Ming Y.

Atlas 2 -- Foundation models for clinical deployment Song, Ming Y

Reference 34

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Observation 685135fc-4a07-4a89-8517-0c111583bf84 · outbound

This paper cites Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan pokkalla, Andrew H.

Atlas 2 -- Foundation models for clinical deployment Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan pokkalla, Andrew H

Reference 35

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Observation df12ceea-bf96-441b-8225-708a2601d5c3 · outbound

This paper cites Champkit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.Computer methods and programs in biomedicine, 239:107631, 2023.

Atlas 2 -- Foundation models for clinical deployment Champkit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.Computer methods and programs in biomedicine, 239:107631, 2023

Reference 36

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Observation 50054862-7a6c-458a-9c95-c15166b4dd31 · outbound

This paper cites Benchmarking self-supervised learning on diverse pathology datasets.

Atlas 2 -- Foundation models for clinical deployment Benchmarking self-supervised learning on diverse pathology datasets

Reference 37

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Observation d2409bae-fbc8-407b-990f-b6fa66b8aa71 · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 38

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Observation 4b89f9b8-a1fd-43d1-81e9-0776eb61f29e · outbound

This paper cites Training state-of-the-art pathology foundation models with orders of magnitude less data.

Atlas 2 -- Foundation models for clinical deployment Training state-of-the-art pathology foundation models with orders of magnitude less data

Reference 39

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Observation daa3acfe-bcdb-4e10-b85c-c0775dd5aedf · outbound

This paper cites 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set].

Atlas 2 -- Foundation models for clinical deployment 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set]

Reference 40

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Observation 0901a0c1-1ea8-42c8-99fd-27bc46254d3d · outbound

This paper cites Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.PLoS medicine, 16(1):e1002730, 2019.

Atlas 2 -- Foundation models for clinical deployment Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.PLoS medicine, 16(1):e1002730, 2019

Reference 41

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Observation acd88c3b-2ac0-445b-84b6-7d9a167dcada · outbound

This paper cites Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.Nature medicine, 25(7):1054–1056, 2019.

Atlas 2 -- Foundation models for clinical deployment Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.Nature medicine, 25(7):1054–1056, 2019

Reference 42

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Observation 1841182e-95cd-4bbe-9f46-a5b9c51a764a · outbound

This paper cites Explainable AI reveals Clever Hans effects in unsupervised learning models.Nature Machine Intelligence, 7:412—-422, 2025.

Atlas 2 -- Foundation models for clinical deployment Explainable AI reveals Clever Hans effects in unsupervised learning models.Nature Machine Intelligence, 7:412—-422, 2025

Reference 43

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Observation 8e7c3c9b-4fb4-4c67-b227-4c0b7567d677 · outbound

This paper cites Patient-level proteomic network prediction by ex- plainable artificial intelligence.NPJ Precision Oncology, 6(1):35, 2022.

Atlas 2 -- Foundation models for clinical deployment Patient-level proteomic network prediction by ex- plainable artificial intelligence.NPJ Precision Oncology, 6(1):35, 2022

Reference 44

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Observation 75518802-6457-4b1a-a28b-faff9d6ce555 · outbound

This paper cites Toward explainable artificial intelligence for precision pathology.Annual Review of Pathology: Mechanisms of Disease, 19(1):541–570, 2024.

Atlas 2 -- Foundation models for clinical deployment Toward explainable artificial intelligence for precision pathology.Annual Review of Pathology: Mechanisms of Disease, 19(1):541–570, 2024

Reference 45

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Observation 93802a29-f852-4e23-8719-14b1fe96b4f3 · outbound

This paper cites Do histopathological foundation models eliminate batch effects? A comparative study.

Atlas 2 -- Foundation models for clinical deployment Do histopathological foundation models eliminate batch effects? A comparative study

Reference 46

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Observation a65ab609-411b-4df3-a111-4c6751857481 · outbound

This paper cites Universal encoding of pan-cancer histology by deep texture representations.Cell Reports, 38(9), 2022.

Atlas 2 -- Foundation models for clinical deployment Universal encoding of pan-cancer histology by deep texture representations.Cell Reports, 38(9), 2022

Reference 47

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Observation 4a98ec9e-5870-4ccb-bbba-d98eef4b4abb · outbound

This paper cites de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, and Klaus-Robert Müller.

Atlas 2 -- Foundation models for clinical deployment de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, and Klaus-Robert Müller

Reference 48

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Observation af43afa6-0d39-4907-bdbf-631988865f08 · outbound

This paper cites Unmasking Clever Hans predictors and assessing what machines really learn.Nature Communications, 10(1):1096, 2019.

Atlas 2 -- Foundation models for clinical deployment Unmasking Clever Hans predictors and assessing what machines really learn.Nature Communications, 10(1):1096, 2019

Reference 49

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Observation c10c1b6b-1c7e-486b-b617-07824e5ebd86 · outbound

This paper cites Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.

Atlas 2 -- Foundation models for clinical deployment Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning

Reference 50

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Observation bcd9a1ce-93b7-4b78-99d4-872121cd60f8 · outbound

This paper cites Beyond Diagnostic Performance: Revealing and Quantifying Ethical Risks in Pathology Foundation Models.

Atlas 2 -- Foundation models for clinical deployment Beyond Diagnostic Performance: Revealing and Quantifying Ethical Risks in Pathology Foundation Models

Reference 51

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Observation 30960320-8493-495b-8437-e03ad35dcc26 · outbound

This paper cites A visual-language foundation model for computational pathology.Nature Medicine, 30:863–874, 2024.

Atlas 2 -- Foundation models for clinical deployment A visual-language foundation model for computational pathology.Nature Medicine, 30:863–874, 2024

Reference 52

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Observation 677084d7-f38f-467e-acba-b04d244d25cc · outbound

This paper cites Marron, David Borland, John Woosley, Xiaojun Guan, Charles Schmitt, and Nancy Thomas.

Atlas 2 -- Foundation models for clinical deployment Marron, David Borland, John Woosley, Xiaojun Guan, Charles Schmitt, and Nancy Thomas

Reference 53

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Observation 0a8e3ae9-9236-4050-a6cb-a1357f2286f8 · outbound

This paper cites Mind the gap: Continuous magnification sampling for pathology foundation models, 2026.

Atlas 2 -- Foundation models for clinical deployment Mind the gap: Continuous magnification sampling for pathology foundation models, 2026

Reference 54

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Observation daddc488-fa5c-4eed-8d98-fca63d1dc368 · outbound

This paper cites Hibou: A Family of Foundational Vision Transformers for Pathology.

Atlas 2 -- Foundation models for clinical deployment Hibou: A Family of Foundational Vision Transformers for Pathology

Reference 55

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Observation b5d433a7-5244-48ef-a89a-273cad510570 · outbound

This paper cites Hibou: A family of foundational vision transformers for pathology, 2024.

Atlas 2 -- Foundation models for clinical deployment Hibou: A family of foundational vision transformers for pathology, 2024

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:33.955833Z

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Observation 5678002d-8978-4fab-9c27-00a2c14763d9 · outbound

This paper cites fmMAP: A framework reducing site-bias batch effect from foundation models in pathology.

Atlas 2 -- Foundation models for clinical deployment fmMAP: A framework reducing site-bias batch effect from foundation models in pathology

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Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:34.054124Z

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Observation 6f27fc8e-4c1a-4722-9193-c35f9c839612 · outbound

This paper cites Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.Scientific Data, 11:330, 2024.

Atlas 2 -- Foundation models for clinical deployment Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.Scientific Data, 11:330, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:34.137347Z

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Observation b357aae2-ce7b-4b5b-a91a-83b6c79e490c · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:34.253276Z

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Observation b7eda381-cfe7-44cb-a356-1fd301ffad0e · outbound

This paper cites Pluto-4: Frontier pathology foundation models, 2025.

Atlas 2 -- Foundation models for clinical deployment Pluto-4: Frontier pathology foundation models, 2025

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:34.353166Z

Source-reported events for the cited work

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Observation 0a86d772-0659-4392-81eb-92e8c869a380 · outbound

This paper cites https://github.com/mahmoodlab/Patho-Bench/tree/ 660e77044640e3d7d2f1150cc6721e97454993bf, 2025.

Atlas 2 -- Foundation models for clinical deployment https://github.com/mahmoodlab/Patho-Bench/tree/ 660e77044640e3d7d2f1150cc6721e97454993bf, 2025

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.193273Z

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Observation 4640f89a-e84c-49ae-8658-6ee6e72dfae1 · outbound

This paper cites https://github.com/bifold-pathomics/PathoROB/tree/ ac1abe4df8c4d5b03aab13d6d9aabbc7205061e6, 2025.

Atlas 2 -- Foundation models for clinical deployment https://github.com/bifold-pathomics/PathoROB/tree/ ac1abe4df8c4d5b03aab13d6d9aabbc7205061e6, 2025

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.225198Z

Source-reported events for the cited work

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Observation 00acd339-d3e6-4175-aec3-579db54ada21 · outbound

This paper cites https://github.

Atlas 2 -- Foundation models for clinical deployment https://github

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.360893Z

Source-reported events for the cited work

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Observation e59fa383-36a3-470b-810a-51b6a4fad552 · outbound

This paper cites Bridging local inductive bias and long-range dependencies with pixel-mamba for end-to-end whole slide image analysis.

Atlas 2 -- Foundation models for clinical deployment Bridging local inductive bias and long-range dependencies with pixel-mamba for end-to-end whole slide image analysis

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.508360Z

Source-reported events for the cited work

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Observation 77dfed31-08cf-4ca8-8845-ddc9e3e52b2b · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.641040Z

Source-reported events for the cited work

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Observation bbfb00ec-a02e-4f63-8e5e-3c7e1c52ed2b · outbound

This paper cites Color transfer between images.IEEE Computer Graphics and Applications, 21(5):34–41, 2001.

Atlas 2 -- Foundation models for clinical deployment Color transfer between images.IEEE Computer Graphics and Applications, 21(5):34–41, 2001

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Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.701896Z

Source-reported events for the cited work

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Observation 195531bc-dc17-4fe5-a32f-b00faeb1deb8 · outbound

This paper cites H-optimus-0.

Atlas 2 -- Foundation models for clinical deployment H-optimus-0

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.782888Z

Source-reported events for the cited work

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Observation 0dddc3f6-30a5-4c28-b82e-5ba735a606c1 · outbound

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

Atlas 2 -- Foundation models for clinical deployment PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:41.962352Z

Source-reported events for the cited work

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Observation 7239bb2d-81c9-4f48-8070-d71cc4414cb9 · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.024334Z

Source-reported events for the cited work

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Observation ef1f2c16-f00f-434d-9e36-096b53d19b20 · outbound

This paper cites Spanhol, Luiz S.

Atlas 2 -- Foundation models for clinical deployment Spanhol, Luiz S

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.146706Z

Source-reported events for the cited work

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Observation f2bead48-2625-4f3b-9de8-0aaff4024421 · outbound

This paper cites Cpath-omni: A unified multimodal foundation model for patch and whole slide image analysis in computational pathology.

Atlas 2 -- Foundation models for clinical deployment Cpath-omni: A unified multimodal foundation model for patch and whole slide image analysis in computational pathology

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.175243Z

Source-reported events for the cited work

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Observation 5779474f-7554-4090-ae9a-bc4b17b40651 · outbound

This paper cites an unresolved cited work.

Atlas 2 -- Foundation models for clinical deployment Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.179398Z

Source-reported events for the cited work

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Observation 073290d7-7323-418c-8e58-6a5b655c2a08 · outbound

This paper cites Song, Tong Ding, Sophia J.

Atlas 2 -- Foundation models for clinical deployment Song, Tong Ding, Sophia J

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.183288Z

Source-reported events for the cited work

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Observation 1e2f6534-18dd-4d7e-b84e-065fe08f9ad8 · outbound

This paper cites Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling.

Atlas 2 -- Foundation models for clinical deployment Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.187227Z

Source-reported events for the cited work

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Observation 3d4bcfd3-f4fe-4d8e-b133-1a7d26392e6f · outbound

This paper cites Ahmed Raza, Nasir Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G.

Atlas 2 -- Foundation models for clinical deployment Ahmed Raza, Nasir Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.190888Z

Source-reported events for the cited work

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Observation 486d0a19-9398-410b-ad07-57bb560b697a · outbound

This paper cites Bernhard, Ran A.

Atlas 2 -- Foundation models for clinical deployment Bernhard, Ran A

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.194572Z

Source-reported events for the cited work

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Observation 8f8364c4-8325-4d3c-ba29-8d9b209f88c3 · outbound

This paper cites A pathology foundation model for cancer diagnosis and prognosis prediction.

Atlas 2 -- Foundation models for clinical deployment A pathology foundation model for cancer diagnosis and prognosis prediction

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.198701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 085932d2-4dc1-4adb-887f-482e3584629d · outbound

This paper cites A petri dish for histopathology image analysis.

Atlas 2 -- Foundation models for clinical deployment A petri dish for histopathology image analysis

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.202331Z

Source-reported events for the cited work

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Observation 451c2482-c039-409c-a7ac-5699473f88ac · outbound

This paper cites Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon.

Atlas 2 -- Foundation models for clinical deployment Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.205953Z

Source-reported events for the cited work

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Observation 3e5d2f7c-1ec6-4884-b12e-ef201dd63642 · outbound

This paper cites A multi- modal knowledge-enhanced whole-slide pathology foundation model.Nature Communications, 16:11406, 2025.

Atlas 2 -- Foundation models for clinical deployment A multi- modal knowledge-enhanced whole-slide pathology foundation model.Nature Communications, 16:11406, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.209572Z

Source-reported events for the cited work

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Observation af58911b-928c-4839-a8db-83bc7ef5e6d4 · outbound

This paper cites Accelerat- ing data processing and benchmarking of ai models for pathology, 2025.

Atlas 2 -- Foundation models for clinical deployment Accelerat- ing data processing and benchmarking of ai models for pathology, 2025

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.213592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ccc2724-b331-46d7-91f3-7d9b0cefba00 · outbound

This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Atlas 2 -- Foundation models for clinical deployment Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T11:50:42.217529Z

Source-reported events for the cited work

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Observation e90921c9-04ed-4a7a-97d0-263e7d6d1392 · outbound

This paper cites adenosis.

Atlas 2 -- Foundation models for clinical deployment adenosis

Reference 83

Resolution: malformed identifier; no resolver link, observed 2026-08-03T11:50:42.221728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a3113105-e13e-47b9-a4b1-de9f6825b166 · inbound

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA cites this paper.

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA Atlas 2 -- Foundation models for clinical deployment

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-27T02:19:54.222196Z

Source-reported events for the cited work

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

Observation 85ca707b-1337-49d3-b091-f1030b887110 · inbound

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy cites this paper.

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy Atlas 2 -- Foundation models for clinical deployment

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-27T02:19:54.222196Z

Source-reported events for the cited work

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

Observation 8aceb108-8ce0-4c12-9ff7-7f5bbee64e8b · inbound

Robustifying pathology foundation models via fine-tuning cites this paper.

Robustifying pathology foundation models via fine-tuning Atlas 2 -- Foundation models for clinical deployment

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:31:20.347618Z

Source-reported events for the cited work

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