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Paper Citation Record · LEDGER

Automatically Auditing Large Language Models via Discrete Optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.04381.

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

pith.paper-citation-record.v1
2303.04381 v1

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:29.019773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T07:44:08.440713Z

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 66b1e682-6f0b-4292-a194-5be9ff23ef4b · inbound

Jailbroken: How Does LLM Safety Training Fail? cites this paper.

Jailbroken: How Does LLM Safety Training Fail? Automatically Auditing Large Language Models via Discrete Optimization

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:17:42.841788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:17:42.752997Z digest=sha256:5d2ef2050eb2f2f340368a584b0470e8b7e33f99326f9fd3ebcf6d6f02a95ff7

Observation 2057dccc-700a-4cf2-9f2f-cc98e76fe724 · inbound

Universal and Transferable Adversarial Attacks on Aligned Language Models cites this paper.

Universal and Transferable Adversarial Attacks on Aligned Language Models Automatically Auditing Large Language Models via Discrete Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:44:08.444210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T07:42:09.112946Z digest=sha256:a95b923b37ad1928502ca5a14305b735503c24f91779f9d18588b0cde8df6d0b

Observation 0d2e6f06-5483-49fb-a045-045c3c257028 · inbound

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation cites this paper.

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation Automatically Auditing Large Language Models via Discrete Optimization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:00:51.552675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T22:00:51.487120Z digest=sha256:33d9fa5779fad75abf251a72d3a745ff13c4dd9d83e8922059a05087744b34ba

Observation f29a9c8c-1f44-4a57-a31a-e16b4f2438e7 · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload Automatically Auditing Large Language Models via Discrete Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:29.019773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.019773Z digest=sha256:7582000f39dbd3eedaf7adfa5f3d1bfcb9728aa16e28cef89509c951ea0fb71c

Observation 72828130-3626-46ec-aaa7-9b4442706d5a · inbound

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training cites this paper.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training Automatically Auditing Large Language Models via Discrete Optimization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T17:35:48.231633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:35:48.231633Z digest=sha256:259336037d233ee4a580f9331194235925151bf4c7a26f4b67038302fbc23616

Observation ef1d3bf9-f50f-4b5e-be1a-336db1a2e088 · inbound

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs cites this paper.

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs Automatically Auditing Large Language Models via Discrete Optimization

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T21:36:52.469255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T21:34:51.665401Z digest=sha256:85cd92ca93705d083f4777297fa3eec320698f4eeb792a6f5e15922518d356f8