Paper Citation Record · LEDGER

Generating Adversarial Examples with Adversarial Networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1801.02610.

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

pith.paper-citation-record.v1
1801.02610 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:45:08.348933Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T15:57:07.602959Z

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 bdad2bd1-6fbd-46b8-8847-8f1a3b68dd10 · inbound

Cellular State Transformations using Generative Adversarial Networks cites this paper.

Cellular State Transformations using Generative Adversarial Networks Generating Adversarial Examples with Adversarial Networks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:36:57.710654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03874e38-1e7c-4a11-b920-755f3d2b0c38 · inbound

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems cites this paper.

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Generating Adversarial Examples with Adversarial Networks

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:55:02.773618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f81048d-f09e-4598-86c0-6fd2f0e1d137 · inbound

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks cites this paper.

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks Generating Adversarial Examples with Adversarial Networks

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:12:51.252177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edca6ca2-d04e-43c1-9bac-c4f8828e11a7 · inbound

LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training cites this paper.

LocalAlign: Enabling Generalizable Prompt Injection Defense via Generation of Near-Target Adversarial Examples for Alignment Training Generating Adversarial Examples with Adversarial Networks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:08.775965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c02b5686-621d-49d3-9d92-ac7967824ee6 · inbound

RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.

RELO: Reinforcement Learning to Localize for Visual Object Tracking Generating Adversarial Examples with Adversarial Networks

Reference 194

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:45:55.432814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aea29ef6-4ede-4ff1-9e2f-23ec5daf234e · inbound

RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.

RELO: Reinforcement Learning to Localize for Visual Object Tracking Generating Adversarial Examples with Adversarial Networks

Reference 195

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:19:14.108220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6796139b-a1d5-4865-8ef4-971fe84e9ba7 · inbound

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models cites this paper.

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models Generating Adversarial Examples with Adversarial Networks

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:33:37.892015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ddb87d6a-35db-42d6-acd6-9b8ff5a9f06a · inbound

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming cites this paper.

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming Generating Adversarial Examples with Adversarial Networks

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T15:57:07.604837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9320edfd-9091-48b5-bcbb-3552fce86f7a · inbound

AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors cites this paper.

AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors Generating Adversarial Examples with Adversarial Networks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:25:48.581787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6acdbee2-6043-448e-9730-6b1b110137ae · inbound

Adversarially Guided Diffusion for LiDAR Range Image Synthesis cites this paper.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Generating Adversarial Examples with Adversarial Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T15:45:08.348933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.