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Paper Citation Record · LEDGER

Distract Large Language Models for Automatic Jailbreak Attack

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.08424.

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

pith.paper-citation-record.v1
2403.08424 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:17:34.170738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:13:16.282138Z

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 7a117660-36c4-4343-8ab8-4f9449d4e76f · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Distract Large Language Models for Automatic Jailbreak Attack

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.170738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.170738Z digest=sha256:a2564e04f84318e8dbf5920643602dea29e178fda035f0d5452b85d047036c20

Observation b3ce1cd9-07e4-411c-8ea0-5a585107814f · 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 Distract Large Language Models for Automatic Jailbreak Attack

Reference 184

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:25.634465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.634465Z digest=sha256:a97a11608d7a3779f156d07b41b59538d301af003855d92362580d47711002aa

Observation faefeca2-41d2-4908-84b5-aa1b2b1f84cb · inbound

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments Distract Large Language Models for Automatic Jailbreak Attack

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:02:54.828680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T01:02:07.088724Z digest=sha256:cbcfaff49494e4969e1303f6f6227a1271e21e0a682adf737bd10b9ec96a977a

Observation 0cb88860-73dd-47a7-a440-dae0fdc7137d · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Distract Large Language Models for Automatic Jailbreak Attack

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:38.816400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:38.816400Z digest=sha256:d9e3a1bca375ae0468c0065a8330021f5bf958378a5d0858f57c1026e7dd6e1d

Observation f428a013-2aee-4fe6-b11f-c41b82e4ea16 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Distract Large Language Models for Automatic Jailbreak Attack

Reference 201

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:57.995901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:57.995901Z digest=sha256:4d08000f4346401a86b61700aa70bccc02a929037587a4e84859b812cde732f6

Observation 71bbae05-5cc4-4854-aaec-9d6d78eef660 · inbound

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking cites this paper.

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking Distract Large Language Models for Automatic Jailbreak Attack

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:13:16.284016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:10:50.007951Z digest=sha256:1ea6a37b24412e55f989cc770f5ba8ce5da9d84d17c7ec16536478d023de71a7