Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.04059.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:25:09.029121Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:29:48.270673Z
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 ad93ee30-cfea-46ef-a981-82cd50d4d702 · inbound
HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology cites this paper.
HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:31:01.962371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b81e3b17-be24-4a80-bf89-9e03d0d6e625 · inbound
HAPS: Rethinking Image Similarity for Virtual Staining cites this paper.
HAPS: Rethinking Image Similarity for Virtual Staining GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:29:48.272305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24bdd532-59d7-45a8-81cd-314f23235ef5 · inbound
Assessment of Conditional Diffusion Model for Synthetic Histopathology Image Generation cites this paper.
Assessment of Conditional Diffusion Model for Synthetic Histopathology Image Generation GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:25:09.029121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.