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Paper Citation Record · LEDGER

Universal adversarial perturbations

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1610.08401.

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

pith.paper-citation-record.v1
1610.08401 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:56:10.225525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-28T19:12:34.729505Z

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 57fcbade-8bdd-4184-af65-6cd56ff6eeba · inbound

Adversarial Examples Are Not Bugs, They Are Superposition cites this paper.

Adversarial Examples Are Not Bugs, They Are Superposition Universal adversarial perturbations

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T16:56:10.225525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:56:10.225525Z digest=sha256:38dabad6ea88ef042205d4d0f634ac768613544f6b5079ef0a7c685dfa37a2ca

Observation 7893139d-bee5-4723-9998-34f888f1042a · inbound

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models cites this paper.

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models Universal adversarial perturbations

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:08.108431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T14:24:48.999632Z digest=sha256:42536093ab68eb1a877c54da3c434ba3df27555269f0130761314d54784212c8

Observation 78da6987-a325-4203-a417-3348e4ce6f37 · inbound

SORA: Free Second-Order Attacks in Fast Adversarial Training cites this paper.

SORA: Free Second-Order Attacks in Fast Adversarial Training Universal adversarial perturbations

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T19:12:34.732169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T19:05:06.136594Z digest=sha256:8dba022641491a841eb6c88d65e68163238b589c3c59fc66f7b03ab6a0ea1752