Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.16481.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T12:55:22.831264Z
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 579edfad-1a34-45ff-90b1-2c1e3f3906a7 · inbound
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.
A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Reference 143
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-11T01:16:07.083257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 869c3a57-64a1-4ff9-ae17-3ec45f6b8da3 · inbound
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents cites this paper.
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:16:07.083257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 535c9048-2574-4177-a8f2-decbfcaea3db · inbound
Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment cites this paper.
Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:16:07.083257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2e917614-70c5-47bc-89fe-4f351cd29bf4 · inbound
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Reference 134
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:16:07.083257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6f26ed45-04df-45f9-bc34-88cf8a5d99fe · inbound
Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience cites this paper.
Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-11T01:16:07.083257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.