Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.15797.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:00.669351Z
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
2
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 fc1e30ac-fc3e-40c8-9505-4fb926aa06de · inbound
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:57:38.350833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91dc3a3a-b10d-48c7-98ba-590c951bfb72 · inbound
ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? cites this paper.
ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:03:00.669351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb3a279-6f28-4fa2-8cc4-d2ba5929ed78 · inbound
Mitigating Cyber Risk in the Age of Open-Weight LLMs: Policy Gaps and Technical Realities cites this paper.
Mitigating Cyber Risk in the Age of Open-Weight LLMs: Policy Gaps and Technical Realities OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:02.137246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cab247b1-9c5e-4dea-8806-568e2eb59d79 · inbound
From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs cites this paper.
From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:35:00.574781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 019c7049-1ca2-459e-ae8b-25db6fda2cb4 · inbound
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:46:36.216891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f1e731c9-9870-46d5-a69c-b3b9c6ce0b86 · inbound
Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks cites this paper.
Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:06:19.095389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3a4e9810-bc05-41d1-adb0-18d8e2c0a7b1 · inbound
CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge cites this paper.
CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:34:47.046898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.