Paper Citation Record · LEDGER

ViTGAN: Training GANs with Vision Transformers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2107.04589.

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

pith.paper-citation-record.v1
2107.04589 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:16:51.138205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T15:47:28.779258Z

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 a13bd18f-ff5d-4f66-92bd-3b4e00188bec · inbound

Consistency Models cites this paper.

Consistency Models ViTGAN: Training GANs with Vision Transformers

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:47:28.782923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fec0c89-e142-4e62-a6e1-9a1c16d64db8 · inbound

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network cites this paper.

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network ViTGAN: Training GANs with Vision Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T15:16:51.138205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071a9a3b-3ca0-43ac-a10f-db720ed661cb · inbound

The GAN is dead; long live the GAN! A Modern GAN Baseline cites this paper.

The GAN is dead; long live the GAN! A Modern GAN Baseline ViTGAN: Training GANs with Vision Transformers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:52.747830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207c57f9-58ce-4f0f-bc1a-1e1a19d49cfc · inbound

Dreamweaver: Learning Compositional World Models from Pixels cites this paper.

Dreamweaver: Learning Compositional World Models from Pixels ViTGAN: Training GANs with Vision Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T15:23:54.942251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aadc3489-b537-48ce-99a5-a85c9837f56d · inbound

Texture Image Synthesis Using Spatial GAN Based on Vision Transformers cites this paper.

Texture Image Synthesis Using Spatial GAN Based on Vision Transformers ViTGAN: Training GANs with Vision Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T14:20:01.024622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ca5c38-3321-49e0-9d59-5ca0d144b2a6 · inbound

GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis cites this paper.

GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis ViTGAN: Training GANs with Vision Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:12.291019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 169df59b-0623-41ff-bc80-a22425c70811 · inbound

Deeper Inside Deep ViT cites this paper.

Deeper Inside Deep ViT ViTGAN: Training GANs with Vision Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T00:55:19.445684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c44c63-d8e7-44b7-9dd9-34911cddb089 · inbound

Scalable GANs with Transformers cites this paper.

Scalable GANs with Transformers ViTGAN: Training GANs with Vision Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:06.764743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.