Paper Citation Record · LEDGER

LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2407.16205.

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

pith.paper-citation-record.v1
2407.16205 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:05.990799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:33.724943Z

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 62e381a7-d7ac-4001-a4b1-173b4eacfd10 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.756304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0768a78-8f61-48a5-96e8-71df50420631 · inbound

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models cites this paper.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.990799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e69b909-4b90-43a4-b48f-d95eb8043776 · inbound

Attack and defense techniques in large language models: A survey and new perspectives cites this paper.

Attack and defense techniques in large language models: A survey and new perspectives LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:06.331926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e69c3d7-c8e4-4647-9ce5-9575afcc51e9 · inbound

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 cites this paper.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:13.739840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4870ba2-6428-4aa8-a4ed-43cac6505500 · inbound

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem cites this paper.

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:09.884636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15df08a3-0d60-4721-a34c-f1373d27ad13 · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-06T04:47:25.569012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5062fa6e-774e-4d32-9460-93e018b24fd0 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:41.015324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41c7ee3-1bf3-41a8-a6d1-b759011756af · inbound

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement cites this paper.

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:11:20.512876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4ede41-a89c-47ec-9f15-20327f702cef · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.463818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252c28f0-96b8-4524-9e30-297406ecffa3 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:47.079044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3d1759-fda7-4e84-8f05-d9e000b89a1e · inbound

SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling cites this paper.

SafeSpec: Fast and Safe LLM via Dynamic Reflective Sampling LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:33.726538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c6a2151-4ae2-41bf-b554-84ba6e4f3f47 · inbound

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions cites this paper.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 104

Resolution: unresolved; no resolver link, observed 2026-07-30T20:11:00.934085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82a81742-335d-4720-b986-e11b2b8fb417 · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-30T19:40:13.837826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.