Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.18104.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:05.971739Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:20:44.746080Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation cfa7e491-b079-4fc0-8d3f-dd8f6da43f78 · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fd54ec90-da97-4263-bbf1-23b7d567b031 · inbound
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 167
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 706d9c35-ea39-43a2-b58f-7d8b1680a4c4 · inbound
Model-Editing-Based Jailbreak against Safety-aligned Large Language Models Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b1b1209-5caa-4588-a0ba-a542ca732beb · inbound
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e20d42c4-07c8-4bfb-9e08-55bd51ca902f · inbound
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86072d83-b4f7-4e73-ae34-bf490e2b7dc0 · inbound
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baa84667-355f-4ecc-a18b-25861e850d3b · inbound
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14348ef6-23eb-4fc7-95c7-32497fdfcd76 · inbound
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 81
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85e85fed-f946-4490-8a21-e8e5b09fb212 · inbound
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d03a866-8998-4115-942f-ca7cbea3c008 · inbound
AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Reference 98
Source-reported events for the cited work
Unavailable: canonical work link unavailable.