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Paper Citation Record · LEDGER

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.01982.

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

pith.paper-citation-record.v1
2308.01982 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:56.331109Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T05:03:56.331109Z digest=sha256:7c1553a55dde32d37effdcb4bb7d1c8004d3f6a18b68ad200c68de5ff3eb6ef0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:06:42.834709Z digest=sha256:acf8a244575f3968c0af4415f16a2138b42b331f089b1b1be543b3b547630102