Paper Citation Record · LEDGER

Affine Disentangled GAN for Interpretable and Robust AV Perception

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1907.05274.

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

pith.paper-citation-record.v1
1907.05274 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T01:55:24.976737Z

measured 29 of 29 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 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

29 of 29 outbound references displayed

verified exact18
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b3893ef-6fb9-4232-ba23-86ae9d970b80 · outbound

This paper cites Synthesizing Robust Adversarial Examples.

Affine Disentangled GAN for Interpretable and Robust AV Perception Synthesizing Robust Adversarial Examples

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.546712Z

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 7c6dc9f1-337d-450b-976f-98d13c187494 · outbound

This paper cites Towards Evaluating the Robustness of Neural Networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Towards Evaluating the Robustness of Neural Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.563139Z

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 886a918f-0a01-40a0-9940-649939e4425e · outbound

This paper cites InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.

Affine Disentangled GAN for Interpretable and Robust AV Perception InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.527173Z

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 2095a9a1-c43b-4cfe-a7d8-04b558cbe823 · outbound

This paper cites Adversarial Feature Learning.

Affine Disentangled GAN for Interpretable and Robust AV Perception Adversarial Feature Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.465154Z

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 4d3f0607-a02e-4982-9e27-c91e913fc630 · outbound

This paper cites Exploring the Landscape of Spatial Robustness.

Affine Disentangled GAN for Interpretable and Robust AV Perception Exploring the Landscape of Spatial Robustness

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T01:56:32.502342Z

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 13a61715-7299-446c-a70d-89f9a404ea2c · outbound

This paper cites Deep symmetry networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Deep symmetry networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:56:33.045078Z

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 cb37f704-260f-4613-bb3c-cf96787bde8e · outbound

This paper cites Generative adversarial nets.

Affine Disentangled GAN for Interpretable and Robust AV Perception Generative adversarial nets

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:56:33.043087Z

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 6f906d1b-207a-4438-9131-463730cec277 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Affine Disentangled GAN for Interpretable and Robust AV Perception Explaining and Harnessing Adversarial Examples

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:56:32.521990Z

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 7218a4ac-078a-4f4e-91a2-959b464c3741 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Affine Disentangled GAN for Interpretable and Robust AV Perception Deep Residual Learning for Image Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.552513Z

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 6cb0b8b4-4cc9-48d8-b229-c9b0cc6e4d1a · outbound

This paper cites Towards a Definition of Disentangled Representations.

Affine Disentangled GAN for Interpretable and Robust AV Perception Towards a Definition of Disentangled Representations

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:56:32.558150Z

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 dc83ac1e-c3ff-4bc5-8a98-ded1c71caba1 · outbound

This paper cites Hinton, Alex Krizhevsky, and Sida D.

Affine Disentangled GAN for Interpretable and Robust AV Perception Hinton, Alex Krizhevsky, and Sida D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:56:33.056684Z

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 d0b5adaa-c53b-4ebd-8c72-666aafa80ab7 · outbound

This paper cites Inferencing Based on Unsupervised Learning of Disentangled Representations.

Affine Disentangled GAN for Interpretable and Robust AV Perception Inferencing Based on Unsupervised Learning of Disentangled Representations

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.460573Z

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 2de3cff5-ad70-46f8-b6d3-196af37c1ab7 · outbound

This paper cites Spatial Transformer Networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Spatial Transformer Networks

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.513123Z

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 4937d4f6-1194-41e1-84a0-61142b248644 · outbound

This paper cites Locally Scale-Invariant Convolutional Neural Networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Locally Scale-Invariant Convolutional Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.472550Z

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 737a7155-e425-4251-bb16-52b0380256d1 · outbound

This paper cites an unresolved cited work.

Affine Disentangled GAN for Interpretable and Robust AV Perception Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-25T01:56:33.051696Z

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 2379068b-4d19-47f2-a798-969711e893d3 · outbound

This paper cites Adversarial examples in the physical world.

Affine Disentangled GAN for Interpretable and Robust AV Perception Adversarial examples in the physical world

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:56:32.454232Z

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 d2bc7ef5-3539-4d33-b51b-5f5af0db037c · outbound

This paper cites MNIST handwritten digit database.

Affine Disentangled GAN for Interpretable and Robust AV Perception MNIST handwritten digit database

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:56:33.040633Z

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 b970daa5-7c8d-4345-a55d-4ca2f7ea13dc · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.

Affine Disentangled GAN for Interpretable and Robust AV Perception Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.539435Z

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 0de663a4-7b8a-4788-b093-46f36affe543 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.441118Z

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 d9b8f352-1139-4e60-99e8-7d84e03838d1 · outbound

This paper cites DeepFool: a simple and accurate method to fool deep neural networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception DeepFool: a simple and accurate method to fool deep neural networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.568203Z

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 889f3f73-7215-425f-a5ea-f091354fd63a · outbound

This paper cites Practical Black-Box Attacks against Machine Learning.

Affine Disentangled GAN for Interpretable and Robust AV Perception Practical Black-Box Attacks against Machine Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.532675Z

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 c208bf4b-5766-443b-8629-0a529b085176 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.447714Z

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 ef4cc6bb-0cf4-4819-a525-0ee1bab3f0f5 · outbound

This paper cites Foolbox: A Python toolbox to benchmark the robustness of machine learning models.

Affine Disentangled GAN for Interpretable and Robust AV Perception Foolbox: A Python toolbox to benchmark the robustness of machine learning models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.515295Z

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 13cbf74d-b870-4288-8a26-04c54b4d3912 · outbound

This paper cites Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.

Affine Disentangled GAN for Interpretable and Robust AV Perception Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.533347Z

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 842a69f9-0b3e-4a57-8e11-960f85f38384 · outbound

This paper cites an unresolved cited work.

Affine Disentangled GAN for Interpretable and Robust AV Perception Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-25T01:56:33.036163Z

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 f1d09dbc-14de-4d6f-a2af-1872f78bb679 · outbound

This paper cites Learning invariant representations with local transformations.

Affine Disentangled GAN for Interpretable and Robust AV Perception Learning invariant representations with local transformations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T01:56:33.036429Z

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 a9ceb92d-51f9-40a0-adef-2e6ffd3dda5a · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

Affine Disentangled GAN for Interpretable and Robust AV Perception Rethinking the Inception Architecture for Computer Vision

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.526825Z

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 50ce260d-cb00-4dd4-b7fa-70f417a1ba11 · outbound

This paper cites Intriguing properties of neural networks.

Affine Disentangled GAN for Interpretable and Robust AV Perception Intriguing properties of neural networks

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:56:32.498930Z

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 d68def8e-adaa-45c3-a5f1-02ed1b72d057 · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

Affine Disentangled GAN for Interpretable and Robust AV Perception Ensemble Adversarial Training: Attacks and Defenses

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T01:56:32.519280Z

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.

Pith citing papers

No inbound Pith citation observations are available.