Paper Citation Record · LEDGER

Analyzing and Improving the Image Quality of StyleGAN

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1912.04958.

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

pith.paper-citation-record.v1
1912.04958 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:46.750525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 3397356e-29c0-4abf-aba1-063fd3154574 · inbound

Why we need an AI-resilient society cites this paper.

Why we need an AI-resilient society Analyzing and Improving the Image Quality of StyleGAN

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-24T14:54:36.330987Z

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.

Observation 0158a0a6-0c0d-4e11-bbf5-e165857ca5bb · inbound

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed cites this paper.

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Analyzing and Improving the Image Quality of StyleGAN

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T03:56:19.905814Z

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.

Observation 500a2132-c4cc-498e-a46c-d58c23a936ff · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Analyzing and Improving the Image Quality of StyleGAN

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T11:16:28.564419Z

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.

Observation df50120e-45c5-406b-a870-fc3d1913ee4b · inbound

High-Resolution Image Synthesis with Latent Diffusion Models cites this paper.

High-Resolution Image Synthesis with Latent Diffusion Models Analyzing and Improving the Image Quality of StyleGAN

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:02:10.173184Z

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.

Observation a49c1f88-55f2-459c-b69f-3ee2fd4a2b98 · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models Analyzing and Improving the Image Quality of StyleGAN

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:46.750525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb24eafc-e863-4f99-8bb8-6fe256fc3470 · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Analyzing and Improving the Image Quality of StyleGAN

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.344455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea29a6d-0c71-4b81-9153-3e182b93d854 · inbound

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023 cites this paper.

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023 Analyzing and Improving the Image Quality of StyleGAN

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:17.740796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f3ad13-ea14-40d0-9f50-a45b76a4970c · inbound

From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splatting cites this paper.

From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splatting Analyzing and Improving the Image Quality of StyleGAN

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:50.035366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9617f713-0e32-4d9c-8a93-4a88874a5f4d · inbound

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box cites this paper.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Analyzing and Improving the Image Quality of StyleGAN

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.631219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4d9024-9909-439a-8e23-0639c37d36d7 · inbound

Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation cites this paper.

Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation Analyzing and Improving the Image Quality of StyleGAN

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:08.829482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef082ce-e24c-4165-9de8-383db9a17490 · inbound

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery cites this paper.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Analyzing and Improving the Image Quality of StyleGAN

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T23:48:03.491403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f184ba-fe26-44b9-b22b-952630ac5f40 · inbound

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe cites this paper.

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe Analyzing and Improving the Image Quality of StyleGAN

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:14.208599Z

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.

Observation 5ebb0c46-9b8a-45af-a7b3-887eba5cca11 · inbound

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence cites this paper.

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence Analyzing and Improving the Image Quality of StyleGAN

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.879154Z

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.

Observation 3bc253f9-6f0e-4118-b34c-6eeeaafad30a · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Analyzing and Improving the Image Quality of StyleGAN

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:30:54.664769Z

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.

Observation 7e82457b-09b0-4583-aa38-d46fb8918d3f · inbound

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars cites this paper.

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars Analyzing and Improving the Image Quality of StyleGAN

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:56.683804Z

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.

Observation 6069aa19-cd91-4064-8f23-fee2a9eae643 · inbound

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions cites this paper.

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions Analyzing and Improving the Image Quality of StyleGAN

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:11:10.706212Z

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.