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Paper Citation Record · LEDGER

Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.13178.

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

pith.paper-citation-record.v1
2005.13178 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:36.005020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:20:43.083100Z

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 eb6097c4-651a-4fff-aa05-4cf35bbae78e · inbound

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

Improving GANs by leveraging the quantum noise from real hardware Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:47:36.005020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:47:36.005020Z digest=sha256:584cd036d44e1f2929c740bcd2dfe733d7995c4a977e52f5cfd56cfd73c8562b

Observation df6ffb31-e386-4758-869a-4b0e8c4ad00d · inbound

Representation learning from OCT images cites this paper.

Representation learning from OCT images Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:20:43.085596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:32:13.800433Z digest=sha256:904fea02eb32d655dfa5c9ebcdf72696bccf1e68759c3392f82998a3d7f63332