Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2506.15253.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T16:22:23.857438Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1aab66c6-34ae-4d9e-bdaf-350397be20b1 · inbound
Evaluating Privilege Usage of Agents with Real-World Tools cites this paper.
Evaluating Privilege Usage of Agents with Real-World Tools RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:18:04.361136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a5c5f379-665a-44a6-85eb-35b38f957443 · inbound
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols cites this paper.
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T00:57:00.300069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3e82437a-40d0-4159-895d-391f36553946 · inbound
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols cites this paper.
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:17:58.611548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fb9ca04a-f186-4b68-a354-bc9994f08cd4 · inbound
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols cites this paper.
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:00:23.557984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 954a84a3-b2a7-46d4-afa0-291657d1ddfb · inbound
Do Coding Agents Understand Least-Privilege Authorization? cites this paper.
Do Coding Agents Understand Least-Privilege Authorization? RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:37:39.984544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 85b0d4e7-a8a2-42ee-86d0-03b4d12aa8f5 · inbound
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents cites this paper.
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:43:56.870990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 64a5976c-460d-4834-a76c-5b390b9f4032 · inbound
ADR: An Agentic Detection System for Enterprise Agentic AI Security cites this paper.
ADR: An Agentic Detection System for Enterprise Agentic AI Security RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:18:18.173988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bede31b4-ccc2-4cdc-95c2-e57b79c744f8 · inbound
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents cites this paper.
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T16:24:55.111630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ecc9f3f8-dc64-4210-8d39-eddc804b5446 · inbound
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T13:20:56.905038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.