Paper Citation Record · LEDGER

Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2406.01637.

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

pith.paper-citation-record.v1
2406.01637 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:15:52.693017Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

19
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5e1f200-1704-4e20-abf8-686d00383404 · inbound

Safety case template for frontier AI: A cyber inability argument cites this paper.

Safety case template for frontier AI: A cyber inability argument Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:11.326677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e6c493-2ac6-45e9-8e35-312edbee42cb · inbound

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects cites this paper.

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:17.048125Z

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Unavailable: canonical work link unavailable.

Observation b9adb882-c296-46e7-89b8-31a715b9ce1c · inbound

Position Paper: Model Access should be a Key Concern in AI Governance cites this paper.

Position Paper: Model Access should be a Key Concern in AI Governance Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:00:04.199166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8630ca99-e29e-44ea-960c-c5679d8e56af · inbound

What AI evaluations for preventing catastrophic risks can and cannot do cites this paper.

What AI evaluations for preventing catastrophic risks can and cannot do Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:21.006726Z

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Observation ab52defe-ae38-4cd0-a6ba-58647512a5e2 · inbound

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework cites this paper.

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:13:35.741236Z

Source-reported events for the cited work

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Observation 63ef66f4-fe91-4f3a-8cb7-39b6f7553c41 · inbound

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM cites this paper.

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:48:57.476195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe24e7d6-45c6-4908-9b35-38e2300b9234 · inbound

LLM Cyber Evaluations Don't Capture Real-World Risk cites this paper.

LLM Cyber Evaluations Don't Capture Real-World Risk Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T22:04:33.418057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbbd18db-24db-4bb0-a25f-3f6b44f9a6b5 · inbound

The AI Agent Index cites this paper.

The AI Agent Index Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:48:35.115038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe6424b-5948-4bb2-b1bf-6a0ef4c8919c · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T23:10:10.949820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f593cc09-5312-4099-8323-a172fdd2572e · inbound

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents cites this paper.

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:52.693017Z

Source-reported events for the cited work

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Observation f1864df8-a32b-4e72-a105-9660eb65af4c · inbound

LLMs unlock new paths to monetizing exploits cites this paper.

LLMs unlock new paths to monetizing exploits Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:10.311083Z

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Observation 2244576c-474c-4f37-bdd6-e5e227ce2f3c · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 228

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:59.809170Z

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Observation 23741686-c241-474b-aeaf-25e89c46e0ec · inbound

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub cites this paper.

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:11.088183Z

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Observation 4d55c973-ec46-439f-b677-0cfab1509288 · inbound

Seven Security Challenges in Cross-domain Multi-agent LLM Systems cites this paper.

Seven Security Challenges in Cross-domain Multi-agent LLM Systems Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:34.718603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3342ef-e9b4-4c1d-bcb0-a7af2fb80572 · inbound

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges cites this paper.

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:35.396718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52263a2f-b4c7-4518-acc0-075488ea41d0 · inbound

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:02.972447Z

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Unavailable: canonical work link unavailable.

Observation 00ac1d4b-642f-47da-997a-138743feb25a · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:45.063218Z

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Observation fac21925-22f5-4eca-b4be-f76d5119c601 · inbound

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

On the Surprising Efficacy of LLMs for Penetration-Testing Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:10:04.440364Z

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Observation 4e515f7d-20a6-49a2-a207-5bff5cf5d85b · inbound

From Turing to Tomorrow: The UK's Approach to AI Regulation cites this paper.

From Turing to Tomorrow: The UK's Approach to AI Regulation Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:41.629519Z

Source-reported events for the cited work

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Observation 1f9dc6ef-ae42-4954-9738-72a13f4d6826 · inbound

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents cites this paper.

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:01.009751Z

Source-reported events for the cited work

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Observation 19ca60b3-298d-4631-88e3-bf472a2e29f5 · inbound

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms cites this paper.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:43:16.769608Z

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Observation da90f123-a8ad-4aff-95ed-c7c91869245c · inbound

Agentic Discovery and Validation of Android App Vulnerabilities cites this paper.

Agentic Discovery and Validation of Android App Vulnerabilities Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T16:44:52.852978Z

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Observation 76d4b9cb-226f-4702-9b23-e06265ca147d · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T18:06:42.940688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c90d65cc-043f-4065-80c3-edf7790dd0a0 · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:38.232333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4cbff12-35db-4d32-8f17-b9992b9eb433 · inbound

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams cites this paper.

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T21:48:34.354517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47916433-cebe-47f3-826f-0e4907491536 · inbound

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software cites this paper.

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:03:22.157264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 01a64e47-a31f-40c7-bb30-3efa51e5f87a · inbound

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports cites this paper.

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T23:18:01.263813Z

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Observation e03225bd-100f-4606-b901-d9583b4278ce · inbound

A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection cites this paper.

A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:05:45.100156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 524f8eb7-421d-4fc8-a3dd-3bac7ab65800 · inbound

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills cites this paper.

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T16:40:52.179213Z

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Observation 60656426-e5a8-4c60-851a-a317fc8c5897 · inbound

Towards Optimal Agentic Architectures for Offensive Security Tasks cites this paper.

Towards Optimal Agentic Architectures for Offensive Security Tasks Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 21

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T12:16:03.080786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8c9285b-4d1c-48ea-ab91-92f78dfff487 · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.630702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1326d90-7561-41b4-9957-f101dc8a077a · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:51:09.131145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf0ae2f1-3c63-4c3c-8941-020cf325c253 · inbound

Dynamic Cyber Ranges cites this paper.

Dynamic Cyber Ranges Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:53.676786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b4d6379-6366-42e3-9635-5100ebd29f57 · inbound

Trace: Unmasking AI Attack Agents Through Terminal Behavior Fingerprinting cites this paper.

Trace: Unmasking AI Attack Agents Through Terminal Behavior Fingerprinting Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:41:18.890781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d87adf86-6262-46c3-a977-dfb04fcc665c · inbound

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards cites this paper.

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:16:11.024768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c5aa6eb-33bf-460d-99d8-a60859310a40 · inbound

Patch2Vuln: Agentic Reconstruction of Vulnerabilities from Linux Distribution Binary Patches cites this paper.

Patch2Vuln: Agentic Reconstruction of Vulnerabilities from Linux Distribution Binary Patches Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:11.696473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 613ea9d5-690e-4d50-91cb-17ea04b6a7ac · inbound

Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand cites this paper.

Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:25:58.404835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 858d873e-306e-465c-8911-a5a1175f82bb · inbound

Benchmarking Mythos-Linked Bug Rediscovery cites this paper.

Benchmarking Mythos-Linked Bug Rediscovery Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:17:57.545488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15fa63ad-48ed-43c9-97ed-e078a7899971 · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:30.535473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74f065e1-d84f-42c5-bdcd-4f7b85feecf5 · inbound

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use cites this paper.

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:16:00.251732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74a3eb7f-0a38-4046-a58e-f985e54abd7d · inbound

FORGE: Multi-Agent Graduated Exploitation and Detection Engineering cites this paper.

FORGE: Multi-Agent Graduated Exploitation and Detection Engineering Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:46:32.334168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aae7e1ce-ad2b-406a-92f5-ac9be0d3d472 · 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 Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.754022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 667bfec4-41f5-4e8c-bb52-52aeedd68417 · inbound

Hephaestus: Toward a Cybersecurity AI Scientist cites this paper.

Hephaestus: Toward a Cybersecurity AI Scientist Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:54:44.457199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74ca797e-b7a6-4437-8c75-549e76a25d0a · inbound

Certifying Ghosts: How Cybersecurity AI Agents Break the EU Cyber Resilience Act cites this paper.

Certifying Ghosts: How Cybersecurity AI Agents Break the EU Cyber Resilience Act Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T20:16:29.495526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02503e8d-06c3-4dba-af3f-d755bd987ab6 · inbound

PTSan: A Practical Memory Safety Sanitizer for C/C++ with Pointer-Object Authority cites this paper.

PTSan: A Practical Memory Safety Sanitizer for C/C++ with Pointer-Object Authority Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T13:04:43.434799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca571b40-ebb0-4f95-8bd0-34ca8c3dcca9 · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T02:40:29.377343Z

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Observation e9239750-4b21-457c-83d3-775a95b46d45 · inbound

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response cites this paper.

Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T01:33:20.664144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.