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Paper Citation Record · LEDGER

Exploring the Adversarial Capabilities of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.09132.

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

pith.paper-citation-record.v1
2402.09132 v4

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:46:10.374890Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:20:44.833552Z

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 8f6fa168-d02b-427d-ac65-08cf922e47fe · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Exploring the Adversarial Capabilities of Large Language Models

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:20:44.835308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:33d3ed5a4adf8382dbc1347c1beb6757ab8b5115af942d61badca41a5d08ee13

Observation 2261f220-29c0-4bc6-a73c-0bf9f6ec5e4e · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Exploring the Adversarial Capabilities of Large Language Models

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-07T00:46:10.374890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:10.374890Z digest=sha256:9cfc577c6777f6cddb49f33fc62bf5e8839070ecf6e45644ba6f853c5313df36

Observation b58ed619-db02-496a-ac0b-a68b93782ad9 · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Exploring the Adversarial Capabilities of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T23:13:02.527686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:13:02.527686Z digest=sha256:d06164aa14d42bdecf18d36f63a5a4cb9e6fcaa0351a6adea1e689e15b624947