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Paper Citation Record · LEDGER

Can LLMs be Fooled? Investigating Vulnerabilities in LLMs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.20529.

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

pith.paper-citation-record.v1
2407.20529 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.146236Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.409524Z

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 f3c74a41-d9c5-40a1-95da-cd481d1fb9e0 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Can LLMs be Fooled? Investigating Vulnerabilities in LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:00.146236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:28:00.146236Z digest=sha256:e1be11cd4d14d0293ead39357c94fbd96bda322bfbe4b8f3b25ec533403cae9d

Observation a82f9ab6-83e6-4760-85b7-c1e5abf9aa45 · inbound

Political Persuasion and Endorsement in Large Language Models cites this paper.

Political Persuasion and Endorsement in Large Language Models Can LLMs be Fooled? Investigating Vulnerabilities in LLMs

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.411025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T23:27:58.184269Z digest=sha256:36da4beabf4de426221737c81652217edd00a80a6a98987286daaf473acb1a2a