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Paper Citation Record · LEDGER

Adversarial Evasion Attack Efficiency against Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.08050.

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

pith.paper-citation-record.v1
2406.08050 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:00:56.779798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:39:22.521068Z

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 10e52d76-df95-4806-9efd-0fd3e94637e7 · inbound

Adversarial Text Generation with Dynamic Contextual Perturbation cites this paper.

Adversarial Text Generation with Dynamic Contextual Perturbation Adversarial Evasion Attack Efficiency against Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:00:56.779798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:00:56.779798Z digest=sha256:0d82aaea68846411542a6b6be7dae32e9b947b837912a67f6f0bdd8ec2a41b4e

Observation 9b2761fe-c927-494f-86c2-d4e4d6ed8987 · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models Adversarial Evasion Attack Efficiency against Large Language Models

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:39:22.593489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T11:39:19.482226Z digest=sha256:d959ae785dbde756d4933703943c8db92fee88170acff5c176875695def60946