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Paper Citation Record · LEDGER

Analyzing and Improving the Image Quality of StyleGAN

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:01.094082Z

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T14:54:33.672327Z digest=sha256:aed7218b402cc63c664da1b9555d5d351ed045dfd3baa9a790f004244b16d401

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T03:56:19.837017Z digest=sha256:ee5786b1a3fb7ba367d8e32143008ea8199c54fd7a4c12715adbac992858abf0

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T11:16:28.445702Z digest=sha256:b545f91f5152d7eb917830deb0f1fd0f909258f6798e789bf74d94f3945f7146

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T22:02:09.899347Z digest=sha256:7d4a36e8446a1fba771e3fda63bfc0a164053b167b2a8d4902d4707afb5003a2

Observation cd580ca4-553c-48f9-8865-eec3c5e5750a · inbound

MyTimeMachine: Personalized Facial Age Transformation cites this paper.

MyTimeMachine: Personalized Facial Age Transformation Analyzing and Improving the Image Quality of StyleGAN

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T15:17:29.514136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:17:29.514136Z digest=sha256:f2a84333cbf1f5344b6afdd6c2806a911ec5a1565646540ef7e9fea493f26368

Observation 5d620a45-9d84-44d5-9646-341887cc28a4 · inbound

ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance cites this paper.

ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance Analyzing and Improving the Image Quality of StyleGAN

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T14:22:40.817610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:22:40.817610Z digest=sha256:f34840496500f2ed62407145553b693c606485a3be94324943ae2dc852873486

Observation d3887b34-0987-4fc4-9be1-1faf0dd4412f · inbound

StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN cites this paper.

StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Analyzing and Improving the Image Quality of StyleGAN

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:40.350642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:40.350642Z digest=sha256:cad0123992241e65373039a241239a4a8d74f7c425ea38034280fe3aa0244b72

Observation a98752ba-3960-414d-be23-bad0ff93eb7d · inbound

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach cites this paper.

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach Analyzing and Improving the Image Quality of StyleGAN

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T22:41:06.109267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:41:06.109267Z digest=sha256:508e640f4813e923656e88dc82ec8fbc72fd06025650b8f9050dd2538b78cac9

Observation 9786f054-631a-4553-9926-a0c03036002e · inbound

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution cites this paper.

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution Analyzing and Improving the Image Quality of StyleGAN

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:52:01.094082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:52:01.094082Z digest=sha256:4847b7fd05198c19bd4f58622fc5081d5cf838a103b691a221899ec5300a8337

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.

source=pdf_text observed=2026-08-07T14:58:46.750525Z digest=sha256:73c9a8a7b07d50b6f4096dda16498af79e37bd2dda9189b2449f8814414b5ed8

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.

source=pdf_text observed=2026-08-07T12:06:30.344455Z digest=sha256:d9d2a20663ba8cd4e4916af1558c9e304ab081ed36aaa5b18a0748204ee7652f

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.

source=pdf_text observed=2026-08-07T01:02:17.740796Z digest=sha256:457f5f5822b0c124ade8ed60d300e8239cf126b3b88efc2681a81eac04091428

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.

source=pdf_text observed=2026-08-06T21:56:50.035366Z digest=sha256:e623f12d3bcd4f18d2834a19f6bfaf3d2e4cf644ed855bcef01474b4ba290fe1

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.

source=pdf_text observed=2026-08-06T16:22:03.631219Z digest=sha256:212f8fad9229e7e6d1d73d7f0789375e4cb1e6b2ddc896d856cd2aa92f573bd0

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.

source=pdf_text observed=2026-08-04T16:57:08.829482Z digest=sha256:7a0a6a6ac7c49943deb39ed00f466758b0d693af03b45098cef3e9f41e7f717e

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.

source=pdf_text observed=2026-08-03T23:48:03.491403Z digest=sha256:69f6d3b4a60eccce5a339ea4d04ea58dd2eef1c85fffa49f833ce39e2b82b0c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T22:42:52.758195Z digest=sha256:8b670fd44fdf42c24df1b1663b31d0236d4ede80b76f26fa4ffe357d32743c11

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T01:29:42.155717Z digest=sha256:991a92385748382778a178295ee97f6bd66df9f494dd6d21c83eb90ba660bb60

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T02:30:14.693348Z digest=sha256:e2a7269e0c7a99e199c495344bbd32aeee4becf04472efd39e1aa9bf22d59994

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:e69677ca856f95012f5bf52f0a31617ca670fb06c7e9b6ca5ba1596c064e12d5

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:c096e9a813ba58e30de972f52c9603755220598e50ddde675bc7b8f3e46a196d