Paper Citation Record · LEDGER

PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.05185.

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

pith.paper-citation-record.v1
2411.05185 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:24.993991Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T17:27:15.331121Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a399437e-6145-4c39-b9d7-bd1dfb647aa8 · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-09T05:32:24.993991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765fd2bc-8d44-40e1-9a46-5a34e78d7da0 · inbound

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

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:51.808707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ddc3fa9-6ccb-4b3d-adf8-4f5c89611e7f · inbound

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining cites this paper.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:17:30.502605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04bbe2d6-bc45-4d2a-be7d-ba719bcd974e · inbound

Enabling Cyber Security Education through Digital Twins and Generative AI cites this paper.

Enabling Cyber Security Education through Digital Twins and Generative AI PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:09.905231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221dd976-71c1-45f5-8320-675fc192597c · inbound

Pixels to Play: A Foundation Model for 3D Gameplay cites this paper.

Pixels to Play: A Foundation Model for 3D Gameplay PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:41:20.708965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812fc49e-2059-403b-8262-6ca2f1969d3c · inbound

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing cites this paper.

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:42:12.239014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91edd61-6292-4e68-994e-b5b0e915250b · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:06:42.871063Z

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 822c3d1c-f698-4902-be20-5fe59bf02018 · inbound

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting cites this paper.

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.126030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86acb64-861f-45e4-a75b-66b36f8f5452 · inbound

Dynamic Cyber Ranges cites this paper.

Dynamic Cyber Ranges PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:53.736129Z

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 835f1e1f-85d2-4c2d-a21f-f4893c25a741 · inbound

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems cites this paper.

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:44.375009Z

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 86d6e6c9-c41f-4d15-9dc6-512d2d5f93f6 · inbound

APT-Agent: Automated Penetration Testing using Large Language Models cites this paper.

APT-Agent: Automated Penetration Testing using Large Language Models PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.087248Z

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 652ccea8-52d2-490f-be9f-b508bcdc84fb · inbound

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots cites this paper.

Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:03:12.686126Z

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 c3463a95-269c-4fbc-81a4-4b676d0e5e71 · inbound

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency cites this paper.

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.548086Z

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 6e3089b5-d628-4483-9f6f-162893a6d3c6 · inbound

Synthetic APTs: the Collapse of TTP-Based Attribution cites this paper.

Synthetic APTs: the Collapse of TTP-Based Attribution PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.332645Z

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.