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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:48:02.721045Z digest=sha256:907ddb2fa77eafc8362807c4c688639d8b8e6379debdbd803f0ac3eb1c8fe037

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:48:02.726853Z digest=sha256:722fcbd322bc82fd0ff699bf8594f850dcce3be4f9eec0fce71b2e309afdc420

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:48:02.732094Z digest=sha256:38bb5b14fc57653adad72c3503bf48fd9cd75879c87aa88064b45a540b89fdbf

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=sha256:7626202edc9c59c7360a2441257bd84d997205a8ca236ed298c08f5ee010ee4c

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=sha256:7b5f92231248d773d23d8754273c69106a836de0923a08eb08ee84b28d407c49

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=sha256:1a550066c00a98d1296ba2f65b968cbce7b2f251ac5ca8acb2692c1bf553a32f

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=sha256:639459f6927b2f6307aeb99083a9db0e655067f563d971ba9ef4da5df1330d9b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:48:02.759676Z digest=sha256:97cb686c188dcfd42db14496641d939452707b92d1ad6b9de481f01b2d409d8a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:48:02.769001Z digest=sha256:b9cc3890ba057fef9993ef045ce8bacd002669364945f54b483ab327426afec7

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=sha256:49f5306149569584ef68deefe78f52f098c5b57cd704c14ba55469d2153acdb2

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:c01c6615263cb21205900e941129776d1b81c3a18a89343341397af0be71c753

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:e8e6719c869183687b6a11762160a438fd7bd0af7f83025f011e1edd54ee416e