Paper Citation Record · LEDGER

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.17263.

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

pith.paper-citation-record.v1
2401.17263 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:59:12.695984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:45:44.896570Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 99b24150-1a03-4ac5-9292-e69d1235d680 · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:48:33.327484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 726cd05c-10cf-47d5-b5b6-234880d752ae · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:43:11.175792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 83210014-3757-4040-b399-720360c5d0be · 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 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:48:47.341043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b540e4d-dbc5-4bb3-bb7f-fe88a09f5578 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.517990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c141b216-a031-4b87-b6b4-07cf68b46eed · 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 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:02:54.687751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e06eab7-6159-4db0-bf0c-3751c1185b78 · inbound

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs cites this paper.

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:00:30.330609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a854484c-64cc-4376-b63d-9fb68d732f7f · inbound

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense cites this paper.

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:45:44.898063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba88e58f-69c8-4f31-95aa-c3b55c7e41b4 · inbound

Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.

Addressing Over-Refusal in LLMs with Competing Rewards Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.592963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.