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Paper Citation Record · LEDGER

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.16432.

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

pith.paper-citation-record.v1
2403.16432 v3

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 2026-08-10T22:12:51.134767Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 e12f80aa-4db3-477f-8735-51f640202de2 · inbound

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks cites this paper.

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks $\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-10T22:12:51.134767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:12:51.134767Z digest=sha256:9d046311fd01d840b0d376cdd4abda1057bac16a8b0f3713b5f9722e5e9e1dc7

Observation b2f845f7-2d66-4cbd-ab40-9e84ce9c8173 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation $\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:37.935832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:37.935832Z digest=sha256:952e7b265fa2043f26208ccfc2dc786d8f7e92cff6ebae13d0fdf4736c779ac9