Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training state-of-the-art pathology foundation models with orders of magnitude less data
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.05186.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:19:58.284159Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T22:52:45.181509Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 54b60432-9195-4c1f-8a5b-2e3c45aaf800 · inbound
MOOZY: A Patient-First Foundation Model for Computational Pathology cites this paper.
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
- 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 56ca0f38-26b6-493e-8e52-5bb9b0e73fe8 · inbound
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning cites this paper.
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning Training state-of-the-art pathology foundation models with orders of magnitude less data
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:36:02.643180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 913345e8-4162-43c5-bde1-c21b6322b44f · inbound
Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction cites this paper.
Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction Training state-of-the-art pathology foundation models with orders of magnitude less data
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:36:24.413132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f4c2dfe5-8d4d-4597-aefa-89e51c06638d · inbound
When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework cites this paper.
When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework Training state-of-the-art pathology foundation models with orders of magnitude less data
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T22:52:45.183052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 744c3c9c-e6f3-44d1-bdaa-2a5f6652b56e · inbound
Beyond Counts: A Distributional Robustness Margin For Pathology Foundation Models cites this paper.
Beyond Counts: A Distributional Robustness Margin For Pathology Foundation Models Training state-of-the-art pathology foundation models with orders of magnitude less data
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:19:58.284159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.