Paper Citation Record · LEDGER

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.11814.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.11814 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:09.632242Z

measured 1 of 1 external citation measurements

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

6
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 50f8e8cb-e477-46cc-b372-20167b0f48ea · inbound

Psychometric-Based Evaluation for Theorem Proving with Large Language Models cites this paper.

Psychometric-Based Evaluation for Theorem Proving with Large Language Models An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T17:36:09.632242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666b8d88-e5e3-490d-a843-7faf46e44eff · inbound

Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks cites this paper.

Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T23:10:11.088564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62362588-4ee9-4dd3-87b6-468428c4147d · inbound

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution cites this paper.

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:51.648562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531bb9b8-a3ff-4145-b1e8-b789c3bd6c80 · inbound

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.704955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e3fa75-76a2-41c3-a90e-714a8f0405ac · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T21:10:06.656665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ea598c-b462-46c4-bd7a-a290cee2202a · inbound

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing cites this paper.

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:52.935601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6a33eb4-e0dc-45c9-b173-a5f249f0ccd2 · inbound

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments cites this paper.

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:35:44.724362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bb081e1-779b-4042-a3d7-129c3a192a6f · 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 An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.100715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6de744e9-7328-4157-b677-b69d9a320542 · inbound

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs cites this paper.

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:55:21.293998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a02c696-be0b-43d4-851f-134fe6f7b267 · inbound

CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge cites this paper.

CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:34:47.041453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11fde743-fb16-43d0-8e06-4a41b9ff1d5e · inbound

Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption cites this paper.

Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:58.078458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f3341c2-a8fd-46a0-b129-cf9e57cf8280 · inbound

A Survey of LLM-Driven Penetration Testing: Taxonomy, Co-Evolution, and Open Challenges cites this paper.

A Survey of LLM-Driven Penetration Testing: Taxonomy, Co-Evolution, and Open Challenges An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T09:10:11.585499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.