Pith. sign in

Paper Citation Record · LEDGER

Adversarial Examples in Modern Machine Learning: A Review

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1911.05268.

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

pith.paper-citation-record.v1
1911.05268 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:09:52.978291Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:54:11.812992Z

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 225abb94-ee29-47b8-bfb3-d4c1230f68d2 · inbound

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases cites this paper.

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases Adversarial Examples in Modern Machine Learning: A Review

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:54:11.820000Z

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.

source=arxiv_source observed=2026-08-11T04:54:11.594890Z digest=sha256:b80b01b64ff084f2debcc9c1ac71d02f47cb9666461e3804f5a44720679a1364

Observation c3c15401-6598-4df3-a1cd-2b60c7b57b2e · inbound

A Test Suite for Efficient Robustness Evaluation of Face Recognition Systems cites this paper.

A Test Suite for Efficient Robustness Evaluation of Face Recognition Systems Adversarial Examples in Modern Machine Learning: A Review

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T05:09:52.978291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:09:52.978291Z digest=sha256:880d5009b1e51d31fe86294e2eb93c05bc56adf3081e6164c287ed7a4fb093e0

Observation f22ba1b4-006d-443c-8e2d-ead9ed6dfa43 · inbound

Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems cites this paper.

Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems Adversarial Examples in Modern Machine Learning: A Review

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:45:12.977695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:45:12.977695Z digest=sha256:f5e02bec5805db5b35d9c6276cc5d466e28c0590d3b44e24557690701345ff29

Observation cb6036f1-f8e2-4506-86b4-dab38923e619 · inbound

Evaluation of Adversarial Robustness in Arabic Language Models cites this paper.

Evaluation of Adversarial Robustness in Arabic Language Models Adversarial Examples in Modern Machine Learning: A Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T01:26:14.605381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:26:14.605381Z digest=sha256:ee7b64aaf39e5edf8b791dfe2dcb3542e06d86f32edac8ff67b6e18b9978774f