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Paper Citation Record · LEDGER

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.06937.

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

pith.paper-citation-record.v1
2001.06937 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:31:07.714720Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T20:47:36.643757Z

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 d3bea88a-d5df-4fbc-8fc6-5696f0cfd7d5 · inbound

PyPotteryInk: One-Step Diffusion Model for Sketch to Publication-ready Archaeological Drawings cites this paper.

PyPotteryInk: One-Step Diffusion Model for Sketch to Publication-ready Archaeological Drawings A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T17:31:07.714720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:31:07.714720Z digest=sha256:c70c76583f8cb7bcd755af1b29b995aadd9a321c4d46c93fe8f784748de76ddb

Observation 12222083-7f31-4e1b-add0-606b5c14dd40 · inbound

Improving GANs by leveraging the quantum noise from real hardware cites this paper.

Improving GANs by leveraging the quantum noise from real hardware A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:47:36.648684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T20:47:35.997191Z digest=sha256:1245b3a665741fab76a9ab320197cbc9b7047fdeac91ff0ae223d37ed708eb93