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:2307.08487.
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 2026-08-15T20:36:57.163093Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:54:34.336996Z
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 e9b00a54-4e2e-4a33-a1ba-507582a37895 · inbound
TrustLLM: Trustworthiness in Large Language Models Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 230
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 dd4cd49e-23e4-4f90-a880-a2db55b9b699 · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 69
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 f4b5b320-094e-44a5-bbde-cada50d59d0d · inbound
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e07336f-0df7-43cc-8d95-214e4312d24d · inbound
Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d02dc49-52e6-4edc-bd31-c0d406093cc2 · inbound
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 81
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25a80c37-7277-4d39-807b-dbc2a444fdd8 · inbound
From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 99
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07c841b8-0bba-451b-8d83-2bd5866d92ff · inbound
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf15a3b9-767c-4e98-9476-c2b2981a7930 · inbound
SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 149
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bbcf1f9-cc39-4b84-866b-3b1ee981fff3 · inbound
MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 23
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 00e4c13a-828d-4cae-851c-02ac381015c2 · inbound
Agentic Abstention: Do Agents Know When to Stop Instead of Act? Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models
Reference 56
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.