Paper Citation Record · LEDGER

A Large-Scale Study on Regularization and Normalization in GANs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1807.04720.

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

pith.paper-citation-record.v1
1807.04720 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T16:00:08.669329Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:21:38.182694Z

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 d2e1c332-97c9-4f02-8bc9-a6ba4cfe9e76 · inbound

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations cites this paper.

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations A Large-Scale Study on Regularization and Normalization in GANs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T16:00:08.669329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3102d0ac-9dd0-4b59-8f6e-c99f24025417 · inbound

AutoGAN: Neural Architecture Search for Generative Adversarial Networks cites this paper.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks A Large-Scale Study on Regularization and Normalization in GANs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.022681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e81dbe7-476d-4760-9115-9d134e4266c0 · inbound

Open Event Extraction from Online Text using a Generative Adversarial Network cites this paper.

Open Event Extraction from Online Text using a Generative Adversarial Network A Large-Scale Study on Regularization and Normalization in GANs

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:21:38.187163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58864310-b306-4983-b100-3a323443aa4b · inbound

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation cites this paper.

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation A Large-Scale Study on Regularization and Normalization in GANs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T23:59:14.697410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.