Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:17:37.909661Z
Paper Citation Record · LEDGER
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 6 inbound Pith citation observations for arXiv:2501.05409.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:02:28.532082Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:48:02.822679Z
Reference resolution
42 of 42 outbound references displayed
- verified exact2
- verified fuzzy27
- unresolved12
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d431db5c-2a81-4025-b525-5de27ad84b94 · outbound
This paper cites Towards Large-Scale Training of Pathology Foundation Models.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Towards Large-Scale Training of Pathology Foundation Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.729389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38ce5819-3b9c-44a7-8aa2-dd1c53539f7a · outbound
This paper cites Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.547424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9688b0f3-1746-4466-8aaf-ebdaeebab9bf · outbound
This paper cites BACH: Grand challenge on breast cancer histology images.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics BACH: Grand challenge on breast cancer histology images
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.531573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5c79225f-51cd-48bc-ae0d-0a213232033e · outbound
This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.743706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22c2525f-4de0-4c1e-bd32-e4fe26ea4f07 · outbound
This paper cites Morphological and molecular breast cancer profiling through explainable machine learning.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Morphological and molecular breast cancer profiling through explainable machine learning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.504621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8306504a-1b7b-454e-b7d4-3cce0f40b6d6 · 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: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge.Nature medicine, 28(1):154–163, 2022
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.490126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5c6e0c87-68ff-450c-a113-fce723660b97 · outbound
This paper cites Chen, Tong Ding, Ming Y.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Chen, Tong Ding, Ming Y
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.473734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e52b4892-da5a-4c6c-a824-d6de1aba5f87 · outbound
This paper cites Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.459605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 07f5f0c9-69f8-43eb-8321-6759efb64637 · outbound
This paper cites Multimodal Whole Slide Foundation Model for Pathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Multimodal Whole Slide Foundation Model for Pathology
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.766539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854380af-153e-4768-89c4-10a3453e2ac2 · outbound
This paper cites RudolfV: A Foundation Model by Pathologists for Pathologists.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics RudolfV: A Foundation Model by Pathologists for Pathologists
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.771334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a00f61b5-b1ea-4ca2-8272-3947277e475b · outbound
This paper cites Ai-based anomaly detection for clinical-grade histopathological diagnostics.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Ai-based anomaly detection for clinical-grade histopathological diagnostics
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.445413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 830c1f3e-5af2-4f3e-b963-506f4c1a5aa4 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics An image is worth 16x16 words: Transformers for image recognition at scale
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.781336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4109b142-93b1-457f-9635-8e0787f72bbf · outbound
This paper cites Phikon-v2, A large and public feature extractor for biomarker prediction.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Phikon-v2, A large and public feature extractor for biomarker prediction
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.785748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02a68ef8-3e42-45b6-8cd1-f4cabb9fbca6 · outbound
This paper cites eva: Evaluation framework for pathology foundation models.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics eva: Evaluation framework for pathology foundation models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.420093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 337a8f6e-dc2d-4caf-9cac-961d1170f498 · outbound
This paper cites Attention-based deep multiple instance learning.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Attention-based deep multiple instance learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.405483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4fab71b0-10bc-4a86-a7e5-56b1e72d5070 · outbound
This paper cites Song, Ming Y.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Song, Ming Y
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.390179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a4d8c0b1-bb81-46ef-94ed-030097ec4b3f · outbound
This paper cites Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan pokkalla, Andrew H.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Vardhan pokkalla, Andrew H
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.375739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d7c33c61-c40e-4a63-8bd4-9b584f39b865 · outbound
This paper cites Champkit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Champkit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.360895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e358e53c-0bad-4900-b943-57b2d2fd461c · outbound
This paper cites Benchmarking self-supervised learning on diverse pathology datasets.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Benchmarking self-supervised learning on diverse pathology datasets
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.345377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation edc7ebb1-e3ba-4f9b-b4f5-357777f10a53 · outbound
This paper cites 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set].
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics 100,000 histological images of human colorectal cancer and healthy tissue (v0.1) [Data set]
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.330239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e631425f-591e-42f9-8955-8b1d8b1782ef · outbound
This paper cites Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.820854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62aeceb4-2922-4727-986e-c41f9a63375e · outbound
This paper cites Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.305414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4de44156-3bda-46fd-a195-c7fdb9286751 · outbound
This paper cites Patient-level proteomic network prediction by ex- plainable artificial intelligence.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Patient-level proteomic network prediction by ex- plainable artificial intelligence
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.291474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c309233c-9f70-4466-98f5-317804b1ca9c · outbound
This paper cites Toward explainable artificial intelligence for precision pathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Toward explainable artificial intelligence for precision pathology
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.277443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 40864cf1-2191-4b20-911b-c6516687a065 · outbound
This paper cites Universal encoding of pan-cancer histology by deep texture representations.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Universal encoding of pan-cancer histology by deep texture representations
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.262564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7d42cdbf-da51-4184-83dc-03dda0d29d65 · outbound
This paper cites Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:17:38.021904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 83de2528-542d-4801-84aa-98abd3d42045 · outbound
This paper cites Decoupled weight decay regularization.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Decoupled weight decay regularization
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.846092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ef12742-8e3d-4e05-a7a4-005ca8b234ed · outbound
This paper cites A visual-language foundation model for computational pathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics A visual-language foundation model for computational pathology
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.237864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4d6642f0-2e26-454c-85f4-c2f86c7e6fc8 · outbound
This paper cites Hibou: A Family of Foundational Vision Transformers for Pathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Hibou: A Family of Foundational Vision Transformers for Pathology
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.854398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f02295d7-a92c-408b-95d6-5c970d341423 · outbound
This paper cites an unresolved cited work.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Unresolved cited work
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.859193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d67bc6ba-1be4-40e6-a50d-fe2ae99734c5 · outbound
This paper cites Pedregosa, G.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Pedregosa, G
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.863416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dab27af3-1e28-491c-9b6e-b6be160279c0 · outbound
This paper cites From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:17:37.986512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 80e11309-88f7-4c96-9cb2-8870c313308f · outbound
This paper cites Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.205563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0be4e962-a84c-44c0-af19-5824ce9daf09 · outbound
This paper cites H-optimus-0.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics H-optimus-0
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.191328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d8a90187-64a6-42ac-b620-597e74e31b1f · outbound
This paper cites Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.175637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e918e2ac-9c82-4e47-ba39-70c086be4e68 · outbound
This paper cites PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:17:37.884682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0ee42c2-6e2d-4970-a327-7d107f41bc35 · outbound
This paper cites Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, and Max Welling
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.159734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c32fd153-134c-4a93-bf95-9765e6cfc35c · outbound
This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Transformer-based unsupervised contrastive learning for histopathological image classification
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.145534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bf320713-d7a3-4874-88c9-e141baeb1d2b · outbound
This paper cites Jackson, Jun Zhang, Deborah Dillon, Nancy U.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Jackson, Jun Zhang, Deborah Dillon, Nancy U
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.130402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 470f115c-76a3-448b-9607-ac569c590051 · outbound
This paper cites A petri dish for histopathology image analysis.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics A petri dish for histopathology image analysis
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.115533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 91539162-1501-4594-ac12-ab903bace9e1 · outbound
This paper cites Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:17:38.099245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5d0c4c5e-efdd-4e7e-a424-4e474666cffd · outbound
This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Reference 42
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T21:17:37.909661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 08365ac4-45f0-44f0-9b25-98bd99c83e87 · inbound
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks cites this paper.
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:02:28.532082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfa18a59-6c72-4e42-945e-f159bc6e9bf5 · inbound
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification cites this paper.
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:30.417989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0f93a3d-da77-4147-8f34-f3e97e4d8c83 · inbound
Towards Robust Foundation Models for Digital Pathology cites this paper.
Towards Robust Foundation Models for Digital Pathology Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:11:12.179816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a35a07e7-a2d3-4340-a180-b258a726905b · 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: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:01.291185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 967cc293-fe5a-45f6-a0ac-ef9542edf47b · 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: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:48:02.824187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1b60744c-4406-457d-a184-a2645c90d4d7 · 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: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics
Reference 5
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