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Paper Citation Record · LEDGER

RudolfV: A Foundation Model by Pathologists for Pathologists

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2401.04079.

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

pith.paper-citation-record.v1
2401.04079 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:01:14.006477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.811513Z

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0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5c00269e-3ac8-48d5-b76b-64060c0a181e · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 75

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arxiv_id, observed 2026-05-24T04:13:53.004877Z

Source-reported events for the cited work

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

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Observation 7d3abed8-f64d-40da-8cc3-0d404f202671 · inbound

Multimodal Whole Slide Foundation Model for Pathology cites this paper.

Multimodal Whole Slide Foundation Model for Pathology RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 17

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Observation 6d3973d7-fb34-4c52-8f51-39c09fab3f9c · inbound

Patherea: Cell Detection and Classification for the 2020s cites this paper.

Patherea: Cell Detection and Classification for the 2020s RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 16

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no resolver link, observed 2026-08-11T10:41:07.069846Z

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Observation a2b68fbd-ed12-4852-9dc3-8a6ce5b193fa · inbound

CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models cites this paper.

CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 4101

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no resolver link, observed 2026-08-10T21:17:56.358185Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:17:56.358185Z digest=sha256:349044c2858401b61d6f3e5ddacd00b185a3ad3724f1c14956cc49099b09aca5

Observation 854380af-153e-4768-89c4-10a3453e2ac2 · inbound

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics cites this paper.

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit\'e, and Aignostics RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 10

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no resolver link, observed 2026-08-10T21:17:37.771334Z

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Unavailable: canonical work link unavailable.

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Observation 3fa54aa7-084a-48ed-a277-42aa07797f39 · 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 RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 15

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no resolver link, observed 2026-08-10T14:02:28.597586Z

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Unavailable: canonical work link unavailable.

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Observation 1562cc3f-4e55-4ef7-97bf-36c88cb450c0 · inbound

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? cites this paper.

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 15

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no resolver link, observed 2026-08-08T15:59:47.372030Z

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Observation 1e1696ef-b427-43f6-97df-a156f2813dd8 · 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 RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 10

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no resolver link, observed 2026-08-06T23:35:31.323225Z

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Observation 845ebfd1-48f0-40ec-91af-e48c25d837c0 · inbound

Emerging AI Approaches for Cancer Spatial Omics cites this paper.

Emerging AI Approaches for Cancer Spatial Omics RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 6

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no resolver link, observed 2026-08-06T21:32:56.533199Z

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Observation d1cfdbce-7ee3-47e8-9c1d-62dee820c478 · inbound

PhenoBench: A Comprehensive Benchmark for Cell Phenotyping cites this paper.

PhenoBench: A Comprehensive Benchmark for Cell Phenotyping RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 5

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no resolver link, observed 2026-08-06T20:10:52.003162Z

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Observation 895bbf00-ac4c-4b13-abd3-77a2e34279fa · inbound

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research cites this paper.

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 158

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arxiv_id, observed 2026-05-19T05:12:05.149388Z

Source-reported events for the cited work

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

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Observation 81034673-5327-4a97-ba50-429fea639c2e · inbound

Towards Robust Foundation Models for Digital Pathology cites this paper.

Towards Robust Foundation Models for Digital Pathology RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 19

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no resolver link, observed 2026-08-06T15:11:12.521769Z

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Observation baec3714-fbee-43a7-9529-3433ec6c5146 · inbound

Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment cites this paper.

Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 6

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no resolver link, observed 2026-08-03T23:34:13.738478Z

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

Atlas 2 -- Foundation models for clinical deployment cites this paper.

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

Reference 17

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no resolver link, observed 2026-08-03T11:50:28.975835Z

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Observation 3984dd77-f164-4fe8-ab48-a6e2d012a480 · 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 RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 7

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arxiv_id, observed 2026-05-11T10:11:01.242193Z

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

source=pdf_text observed=2026-05-10T15:37:44.879915Z digest=sha256:02708de486de89517dddfb767cd174cecc7f7fbd179d179b2287381f28c525ab

Observation 933e2b6b-a01e-4e5f-b94f-123c5a8b9d8a · 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 RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 13

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arxiv_id, observed 2026-07-03T10:48:02.813147Z

Source-reported events for the cited work

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

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Observation b0a37dd1-24d1-4619-9882-bc79c513b0d0 · 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 RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 3a0bf7e7-280a-41e5-8ac2-023ef4c45b14 · inbound

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation cites this paper.

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 21

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arxiv_id, observed 2026-06-30T10:04:36.005610Z

Source-reported events for the cited work

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

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Observation a2ca57be-9587-4301-a945-883e383c639d · inbound

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology cites this paper.

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology RudolfV: A Foundation Model by Pathologists for Pathologists

Reference 35

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no resolver link, observed 2026-08-05T17:47:37.651457Z

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