Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pros and Cons of GAN Evaluation Measures
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1802.03446.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:25:42.857887Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T21:09:30.453956Z
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 0467cdfe-023c-4a66-b395-9eca63c84eb4 · inbound
A Unifying Information-theoretic Perspective on Evaluating Generative Models cites this paper.
A Unifying Information-theoretic Perspective on Evaluating Generative Models Pros and Cons of GAN Evaluation Measures
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:25:42.857887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5507d7f2-fcf2-421f-8595-cfc99d1a7f06 · inbound
Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance cites this paper.
Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance Pros and Cons of GAN Evaluation Measures
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:49:09.382154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98ac8a8b-481d-4541-ba68-6175751d1993 · inbound
Deep Learning Models for Physical Layer Communications cites this paper.
Deep Learning Models for Physical Layer Communications Pros and Cons of GAN Evaluation Measures
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T21:09:30.459274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.