Paper Citation Record · LEDGER

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.10321.

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

pith.paper-citation-record.v1
2505.10321 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:10:11.585499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:07.169865Z

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 d27d631a-097b-4efb-8871-f3816d521fc8 · 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 AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.215935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25d6001a-2db5-4982-b399-c6a12613c1d4 · 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 AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:52.782770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53b08bb4-0947-4186-81ec-7635760a8700 · inbound

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning cites this paper.

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.643960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b30f968-a668-47dc-8a88-7d9ee5c6830d · inbound

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation cites this paper.

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:09.451503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 916d3412-bd17-45c6-8a9f-8a0ef2890402 · inbound

Decoupling Reconnaissance and Exploitation: Measuring the Capability Boundaries of LLM-Based Web Penetration Testing cites this paper.

Decoupling Reconnaissance and Exploitation: Measuring the Capability Boundaries of LLM-Based Web Penetration Testing AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:20:07.171326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f0d08fa-93a9-4122-93f2-a8d10879c8ca · 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 AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

Reference 84

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.