Paper Citation Record · LEDGER

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.13722.

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

pith.paper-citation-record.v1
2507.13722 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:22:03.679215Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact2
verified fuzzy15
unresolved9
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77c61e7c-d093-4b51-b024-519c85ffe777 · outbound

This paper cites NVlabs/ffhq-dataset: Flickr-Faces-HQ Dataset (FFHQ).

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box NVlabs/ffhq-dataset: Flickr-Faces-HQ Dataset (FFHQ)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.196169Z

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 bccd76b0-e8d1-4d6d-a744-0517c25cbf35 · outbound

This paper cites Deepfakes - Gefahren und Gegenmaßnahmen.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Deepfakes - Gefahren und Gegenmaßnahmen

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.186226Z

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 777ec317-47fc-45ef-aec8-8d492d341a3b · outbound

This paper cites How Dangerous are Deep- fakes and Other AI-Powered Fraud? 2024.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box How Dangerous are Deep- fakes and Other AI-Powered Fraud? 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.176036Z

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 ba27aeec-c7fa-4ddb-a65a-eb807b4d3cc7 · outbound

This paper cites Where is the Information in a Deep Neural Network?.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Where is the Information in a Deep Neural Network?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.598821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc61d92-fcf8-48a0-b741-7c9bb10c96db · outbound

This paper cites Generative Adversarial Networks.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Generative Adversarial Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.602889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c43fd01-7711-4bfe-84b6-7a70a3ae8474 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.606802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512cb28b-5028-4d62-979d-6353e34dd31e · outbound

This paper cites Generative Adversarial Networks and Other Generative Models.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Generative Adversarial Networks and Other Generative Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.165112Z

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 d29a5373-6a1c-428b-8888-a27cc42a57a0 · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.617015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb94a91-399c-486c-b397-d8542c2f4192 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.152790Z

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 3fe44601-f8de-436d-b0be-6f430684f057 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box A Simple and Effective Pruning Approach for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.627979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Analyzing and Improving the Image Quality of StyleGAN.

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 2ca4288e-e6dc-4eef-ab32-8976e92b0563 · outbound

This paper cites The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web].

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-06T16:22:03.634700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4afda4-0e67-4f64-abc2-75b819c36c71 · outbound

This paper cites Datasets.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Datasets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.142241Z

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 7f7843ff-09a5-4ccb-9562-dfdbcc929d73 · outbound

This paper cites Large-scale CelebFaces Attributes (CelebA) Dataset.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Large-scale CelebFaces Attributes (CelebA) Dataset

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.132291Z

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 9964aca2-e636-4c99-b54b-d6203bbb5efc · outbound

This paper cites Hands-On-Image-Generation-with- TensorFlow-2.0: Faster StyleGAN.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Hands-On-Image-Generation-with- TensorFlow-2.0: Faster StyleGAN

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.120868Z

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 f6fd2ca8-2f1e-4e92-8e9a-4831c45dec77 · outbound

This paper cites Hands-On Image Generation with TensorFlow: A practical guide to generating images and videos using deep learning.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Hands-On Image Generation with TensorFlow: A practical guide to generating images and videos using deep learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.110545Z

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 484ebbea-0595-42b6-b0be-4afee3d6a647 · outbound

This paper cites Build from source.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Build from source

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.100325Z

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 d928e7bd-3e76-43d7-bda7-2fa73869276a · outbound

This paper cites an unresolved cited work.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:22:04.090515Z

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 f05476ba-0bd0-4dd1-9e83-ceabf0b1b5b1 · outbound

This paper cites Was ist Py- Torch? 2023.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Was ist Py- Torch? 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.080671Z

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 771555df-44d5-4d53-a645-86b5a2827f17 · outbound

This paper cites MyStyleGAN.ipynb.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box MyStyleGAN.ipynb

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.069211Z

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 3bcb943f-e09f-47c6-8b5d-e0932206c814 · outbound

This paper cites Why Pytorch officially use mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225] to normalize images? 2019.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Why Pytorch officially use mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225] to normalize images? 2019

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:22:03.880199Z

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 d97caada-43a9-4b5f-88dc-3f761a6fca35 · outbound

This paper cites Jupyter Widgets 8.1.6 documentation.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Jupyter Widgets 8.1.6 documentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.058570Z

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 c3026562-b748-4209-bf56-af0850667270 · outbound

This paper cites Pruning Tutorial.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Pruning Tutorial

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.047742Z

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 2ceafe3a-cb15-4546-b1b9-a144e19e36ea · outbound

This paper cites an unresolved cited work.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:22:04.037489Z

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 78510f36-1ac7-439c-a92e-ac800514abb7 · outbound

This paper cites an unresolved cited work.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Unresolved cited work

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-08-06T16:22:03.676278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bddc5a23-df43-4195-97d3-eae2fc2458b4 · outbound

This paper cites Generative Adversarial Networks (GANs) in Cybersecurity — Friend or Foe? Oct.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Generative Adversarial Networks (GANs) in Cybersecurity — Friend or Foe? Oct

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:04.027570Z

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 9b6ee5ee-aeff-4cd2-bd98-b68696d44aa8 · outbound

This paper cites an unresolved cited work.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Unresolved cited work

Reference 197

Resolution: verified exact; doi, observed 2026-08-06T16:22:03.747202Z

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 30cf7213-5fad-42b2-b773-c0c127cf80d8 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T16:22:03.624389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.