Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.01982.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:08:03.499215Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T18:08:15.385925Z
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 3594241d-b2c8-47f5-ae89-a01cdf29e116 · inbound
Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review cites this paper.
Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:08:03.499215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e358223c-23fe-4b36-8e12-6a76755979e4 · inbound
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC cites this paper.
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:03:56.331109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5eeb464-df64-40b1-ada7-b928d368cd42 · inbound
A Generative Foundation Model for Multimodal Histopathology cites this paper.
A Generative Foundation Model for Multimodal Histopathology Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:08:15.387198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.