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Paper Citation Record · LEDGER

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing

As of 17 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 1 inbound Pith citation observation for arXiv:2507.21113.

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

pith.paper-citation-record.v1
2507.21113 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:48:02.774461Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:28:52.906906Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02efdc29-c267-4db2-86cd-4d3c57d98fa7 · outbound

This paper cites Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education,.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:48:03.122078Z

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.

source=pdf_text observed=2026-08-06T17:48:02.721045Z digest=sha256:de725e39bc0f2dac814be6032a561f1add5999578e8f58edfb0e3b5f5289ad99

Observation 0c6198cb-7609-487e-81e2-d537a88f1969 · outbound

This paper cites A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:48:03.034459Z

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.

source=pdf_text observed=2026-08-06T17:48:02.726853Z digest=sha256:a55c1e4d4171896351a958e2b336a6f08243ea71460a80a3b21a0c0fc323392f

Observation 779079fb-1d0c-42e7-a501-b4f83e62ff98 · outbound

This paper cites Getting pwn’d by AI: Penetration testing with the language models,.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Getting pwn’d by AI: Penetration testing with the language models,

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:48:02.997874Z

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.

source=pdf_text observed=2026-08-06T17:48:02.732094Z digest=sha256:b1593890baee3c95a298f17f2a476b7eab34f733b56bed5cee80084c2e199b67

Observation 3cb03126-87b4-46d7-ad26-51ab06305489 · outbound

This paper cites Large Language Models: A Survey.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Large Language Models: A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.736436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.736436Z digest=sha256:2568e19a89d3c1b84ad1d3ec2c8850519d203384454278420db94a2faa8e29a2

Observation 2ca019c9-6e21-4470-829e-321cf868c04b · outbound

This paper cites Large Language Models in Cybersecurity: State-of-the-Art.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Large Language Models in Cybersecurity: State-of-the-Art

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.743537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.743537Z digest=sha256:6ae7a849edfec29ec9cff2eb88645240c9688a646aeac8d3dea6902672abae14

Observation d95cd1c4-1e77-41f2-890c-7ea415b08dd0 · outbound

This paper cites Can Large Language Models Find And Fix Vulnerable Software?.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Can Large Language Models Find And Fix Vulnerable Software?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.749284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.749284Z digest=sha256:2b60dc646374c183131681f2b946cd219411c59849f8c3da76d2a59578ee70eb

Observation 18eaf81f-925f-464b-afd4-686433dc571c · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.754962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.754962Z digest=sha256:9ebd3b847ca7184e7a0b215ad43bf05379f90df5acc63d2257b0984601156d52

Observation a4e2ae9e-cbfe-4243-aa48-8a89900c1d8c · outbound

This paper cites AutoAttacker: A large language model guided system to implement automatic cyber-attacks,.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing AutoAttacker: A large language model guided system to implement automatic cyber-attacks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:48:03.092138Z

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.

source=pdf_text observed=2026-08-06T17:48:02.759676Z digest=sha256:22dd1c2e10e21cac1338a3afccccbd3c8ffd9d96bbcee90c60ddcd394770dda8

Observation 6ff27f55-f6b7-4dc0-b050-693d9db0e834 · outbound

This paper cites A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:48:03.061918Z

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.

source=pdf_text observed=2026-08-06T17:48:02.769001Z digest=sha256:b4a42e1ab8a786a48fa38d79f0d3984ebac1ea6a6a16080b2f9f1cf7ba222619

Observation 4b7dafbe-c949-49d9-911e-3ed4380b6779 · outbound

This paper cites A Survey of Large Language Models.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing A Survey of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.774461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.774461Z digest=sha256:2b5fb2e3bf257ec39cf4e7b4857df470385c50e3775e118af281ae837b59d0fb

Observation 3f4ae374-65b9-4ff8-b5cb-5d901f88c6cf · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.764469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.764469Z digest=sha256:f14090a28123ec45a2aa04c0f78320512dfe5b1c1db60e60db64633041fdf025

Pith citing papers

Observation 8abb136d-4120-4a11-b61c-76308ae8b94e · inbound

Determinants and Limits of LLM Security-Tool Orchestration: A Study with HexStrike-AI cites this paper.

Determinants and Limits of LLM Security-Tool Orchestration: A Study with HexStrike-AI Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T06:28:52.906906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:28:52.906906Z digest=sha256:4726fa9ddc5d190e34c702c93f74a0b020e1ff0b41ee24dc0b6741c7ab420c1d