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Paper Citation Record · LEDGER

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.09723.

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

pith.paper-citation-record.v1
2502.09723 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:47:25.694862Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:26:49.229403Z

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 42693958-f209-47b4-a75b-a8e047c9db72 · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language

Reference 202

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:25.694862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.694862Z digest=sha256:6a2b0f8578ccde36b0a39e2bd87dab8fb8b4691201793e5da7c371b3f71021f2

Observation 8b6fabf8-9884-4c1e-895a-c6fb19f7851c · inbound

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models cites this paper.

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:26:49.328946Z

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=2026-08-06T04:26:49.040072Z digest=sha256:e9b0dd56557de3dec96f55f9a10e349a4618a6d7a88186d79993471b5bb17f16