Paper Citation Record · LEDGER

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2501.13411.

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

pith.paper-citation-record.v1
2501.13411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:10:11.015947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:27:15.312871Z

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 78371134-3c59-4805-83b3-f97ce53a42fd · 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 VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T23:10:11.015947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb237ae7-bacc-4321-87ae-f43a764d73fb · inbound

Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research cites this paper.

Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:20.099404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb113cf-fe13-4347-874a-9b694c7b3c69 · inbound

Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models cites this paper.

Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:31.453447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a65965-544c-422a-8372-fbb6f8e2c4e5 · inbound

Cybersecurity AI: The Dangerous Gap Between Automation and Autonomy cites this paper.

Cybersecurity AI: The Dangerous Gap Between Automation and Autonomy VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:42:07.306111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f620134-4133-4460-ac39-cd37a3c7b458 · inbound

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

On the Surprising Efficacy of LLMs for Penetration-Testing VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:10:06.533634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d28cde-94cd-4093-9862-1559a58050cd · 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 VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:06:42.970691Z

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 b1d0cf06-eb29-4eb7-88fc-4164882e2200 · inbound

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation cites this paper.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T21:32:43.644599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecd7e24-178a-4a60-958f-da64b25f6d80 · inbound

xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models cites this paper.

xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.175165Z

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 a600fa08-1553-40b0-99bb-001ea4d61aca · 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 VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:52.753000Z

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 ed80d533-54f7-489f-ab20-d086e161b9d1 · inbound

Challenges and Future Directions in Agentic Reverse Engineering Systems cites this paper.

Challenges and Future Directions in Agentic Reverse Engineering Systems VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:50:24.793479Z

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 74b4f1ae-e3dc-47bb-bb3b-d3dc8572c9e2 · inbound

Dynamic Cyber Ranges cites this paper.

Dynamic Cyber Ranges VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:53.982379Z

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 89f34e4b-c2f0-438d-9d0f-940369f3beae · inbound

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis cites this paper.

Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:18.597098Z

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 e5f71443-a15f-4608-b79c-de0d3554e295 · inbound

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World cites this paper.

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:28.003732Z

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 834b396b-8f4b-4889-bdfc-ec486581af26 · inbound

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World cites this paper.

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:24.881587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64079882-b5cb-4b65-8225-cd24479323d9 · inbound

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly cites this paper.

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:59.028982Z

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 53be3090-b19a-493f-a524-6ebbb793fd5f · 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 VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.527512Z

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 2621798a-e97f-4def-82be-05ba00fd8e35 · inbound

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense cites this paper.

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:58.760798Z

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 8297e2fb-2421-456b-9059-059332c91e8e · inbound

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

Synthetic APTs: the Collapse of TTP-Based Attribution VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.314341Z

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 ba334b7e-5fdd-4dc1-8b95-88c3f917d12f · inbound

COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies cites this paper.

COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T03:34:13.279770Z

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 0d16d82f-9d02-4712-af8c-61a1619fc6e7 · 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 VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 25

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88f55be-b143-40a8-a420-48f2175123aa · inbound

The Ethics of Autonomous AI Agents for Offensive Security cites this paper.

The Ethics of Autonomous AI Agents for Offensive Security VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:23:22.609362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2ea493-9f76-4177-91e9-1347a7519579 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T14:30:12.557654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028d46b0-3c29-4c15-9c9b-3cab42327ff2 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T04:29:02.259545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.