Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.12116.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:06.628542Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ae391ece-5660-4753-aa4c-92bc312d3c5f · inbound
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry cites this paper.
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:19:06.628542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 644ec8b1-fee6-4540-abc9-8b8403753c4e · inbound
A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems cites this paper.
A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems
Reference 123
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T05:34:19.625574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.