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Paper Citation Record · LEDGER

AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.22143.

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

pith.paper-citation-record.v1
2410.22143 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:05:52.306729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:21:31.116524Z

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 39bb094a-5346-4191-a8a1-d1488391ef6e · inbound

"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models cites this paper.

"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T18:05:52.306729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:05:52.306729Z digest=sha256:9ba843b3e197afbcf76ce8e6bbbeed27eb3977bf8017580c7266280e62411d2b

Observation fcf42a0d-8d84-478a-b5ed-0faf08e33d7e · inbound

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI cites this paper.

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:21:31.120043Z

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=2026-05-22T12:17:59.458633Z digest=sha256:857966ac088a228c5a191ee594ca60a99a5d8db7a0540e470dd5e178cb6e55e0

Observation 58463c38-a61b-434d-a23c-7793806dc785 · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:48.651432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:00:48.651432Z digest=sha256:2174efcdfd7ac1f9886f7841a2f550ad08ad96e5b9bac9e34a68d0076321edaa