Paper Citation Record · LEDGER

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.09002.

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

pith.paper-citation-record.v1
2401.09002 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:41:32.179485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:48:47.414184Z

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 ea005b15-8cef-4ec4-8cea-956fb798c72f · inbound

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI cites this paper.

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:48:47.417456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2261d751-51ae-4af1-83d7-5e6629825deb · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.825116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7719205a-30a7-406c-a4d1-3789277d62ba · inbound

Evaluating Multi-Agent Defences Against Jailbreaking Attacks on Large Language Models cites this paper.

Evaluating Multi-Agent Defences Against Jailbreaking Attacks on Large Language Models AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:32.179485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cb55dc-b955-4a99-bf30-db6c239e26a9 · inbound

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models cites this paper.

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:20.739903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.