Paper Citation Record · LEDGER

Alias-Free Generative Adversarial Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2106.12423.

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

pith.paper-citation-record.v1
2106.12423 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:44.399031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:54:03.231167Z

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 4a766d99-f33e-47ef-ad7f-c393d7672126 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Alias-Free Generative Adversarial Networks

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-12T20:23:10.865948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 947d950f-281e-4f5b-bb16-39e629c07420 · inbound

Smooth transport map via diffusion process cites this paper.

Smooth transport map via diffusion process Alias-Free Generative Adversarial Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T20:07:23.765525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6adbab5-3e15-47c2-92dd-e02a1a226eda · inbound

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality cites this paper.

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality Alias-Free Generative Adversarial Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:06:37.464334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6047c4a1-9072-4ca3-9493-0ba265bbab81 · inbound

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis cites this paper.

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis Alias-Free Generative Adversarial Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:19:19.727028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca1cc85-dcef-4add-be10-d2874f8da0a8 · 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 Alias-Free Generative Adversarial Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:06.086915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9fd8b0-d376-4154-9c8b-8c6b44339ce4 · inbound

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation cites this paper.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation Alias-Free Generative Adversarial Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:44.399031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229bba62-ad94-4f3c-a5c5-d22b79ce98b0 · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models Alias-Free Generative Adversarial Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:46.619292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4585ce03-e886-41e7-9e1f-90dac9d0e40a · inbound

Generative model for optimal density estimation on unknown manifold cites this paper.

Generative model for optimal density estimation on unknown manifold Alias-Free Generative Adversarial Networks

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-15T18:45:44.815824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a27559-4bd4-436a-9209-86ebbcf11d90 · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality Alias-Free Generative Adversarial Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:00.155921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba1c469-5495-4d16-bf33-192bb60e493a · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Alias-Free Generative Adversarial Networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:59.609024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9f992f-8013-40f1-99d5-33caa3d8fb02 · inbound

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable cites this paper.

Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitable Alias-Free Generative Adversarial Networks

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:36.998031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41f54e1c-ba54-4374-aa67-930cefd59ccb · inbound

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients cites this paper.

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients Alias-Free Generative Adversarial Networks

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:54:03.232560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.