Paper Citation Record · LEDGER

Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2408.04686.

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

pith.paper-citation-record.v1
2408.04686 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:15.340645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.037677Z

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 66496283-4700-425d-8a6a-d96b84f88a3d · inbound

LLM Agents Should Employ Security Principles cites this paper.

LLM Agents Should Employ Security Principles Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:15.340645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f4545a-55a6-4feb-8926-256a2478f566 · inbound

Effective Red-Teaming of Policy-Adherent Agents cites this paper.

Effective Red-Teaming of Policy-Adherent Agents Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:00.218144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95601dc7-b590-49b6-9c32-544ba1acab7f · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 185

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:27.162637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f8ebd5a-0613-40c3-8f95-8a4b6f968bfe · inbound

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety cites this paper.

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:03.998647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f1fab5-0a0c-4458-ad74-375c31f3b84b · inbound

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation cites this paper.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:07:11.356493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee54c21d-1dab-458f-b05a-e06a11fb429a · inbound

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems cites this paper.

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:04.355956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fe3d2d5-7dce-4138-a417-b0d68ab5a235 · inbound

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking cites this paper.

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:12.535207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2db216af-1dbe-4ab1-8e0c-f501c43e0b17 · inbound

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms cites this paper.

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:34.498733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b8306b1-3642-4541-b27f-3e1e69edb907 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:11.039289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f4ac4f1-80b0-4f20-b691-f08382e4db27 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:44.268919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1882e4c6-d237-462c-84d3-c383580b8270 · inbound

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems cites this paper.

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T12:54:36.704624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c959c2-b2b0-483c-b504-5c3df9b3b704 · inbound

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks cites this paper.

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:01.466125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.