Paper Citation Record · LEDGER

Adversarial Training: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.15042.

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

pith.paper-citation-record.v1
2410.15042 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:40.202448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:25:58.781417Z

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 b0a833c3-812d-4b6d-b29f-10c23c53bf86 · inbound

A Survey on False Information Detection: From A Perspective of Propagation on Social Networks cites this paper.

A Survey on False Information Detection: From A Perspective of Propagation on Social Networks Adversarial Training: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:40.202448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd75383c-5409-4a8f-b70f-fea16d83392d · inbound

NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations cites this paper.

NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations Adversarial Training: A Survey

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T09:44:18.914284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e1e3a2-a73e-4c99-9015-6dc4e8b3f44a · inbound

Solver-Integrated Adversarial Attacking and Training of Neural Operators cites this paper.

Solver-Integrated Adversarial Attacking and Training of Neural Operators Adversarial Training: A Survey

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T08:50:05.959593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78479894-a1d3-4b7a-ac28-f5e90c9274f9 · inbound

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning cites this paper.

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning Adversarial Training: A Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.219413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 483246ed-f2f1-4d00-977e-b44c3320983e · inbound

Streaming Adversarial Robustness in Fuzzy ARTMAP: Mechanism-Aligned Evaluation, Progressive Training, and Interpretable Diagnostics cites this paper.

Streaming Adversarial Robustness in Fuzzy ARTMAP: Mechanism-Aligned Evaluation, Progressive Training, and Interpretable Diagnostics Adversarial Training: A Survey

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:58.786342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad144c06-cf9a-4a3f-bdb6-68b24ef6127c · inbound

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates cites this paper.

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates Adversarial Training: A Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:32:06.164646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.