Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PathologyGAN: Learning deep representations of cancer tissue
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.02644.
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 2026-08-15T21:02:34.964503Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T14:02:42.497254Z
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 e04cb939-5de3-49b9-8202-68756e06414b · inbound
Comparative Analysis of Diffusion Generative Models in Computational Pathology cites this paper.
Comparative Analysis of Diffusion Generative Models in Computational Pathology PathologyGAN: Learning deep representations of cancer tissue
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T14:02:42.502026Z
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.
Observation d3a6d173-3b30-402d-ba79-06829d132a02 · inbound
Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges cites this paper.
Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges PathologyGAN: Learning deep representations of cancer tissue
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:02:34.964503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.