Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models | Paper Citation Record

Observation 0feb9130-5989-413f-818a-86b3d31b83ba · inbound

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents cites this paper.

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 34

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Observation 0bcc9c81-ae4d-4420-877f-98c379cde089 · inbound

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

Safety case template for frontier AI: A cyber inability argument Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 78

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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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 33

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Observation e9e62439-b645-43eb-bb71-dc29c3d57d92 · inbound

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing cites this paper.

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 48

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Frontier Models are Capable of In-context Scheming cites this paper.

Frontier Models are Capable of In-context Scheming Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:22:01.635191Z

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Observation be75ed09-53c6-4815-a5d7-86f23bc03ac8 · inbound

Humanity's Last Exam cites this paper.

Humanity's Last Exam Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:40:50.350304Z

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Observation 405ac15e-b490-4ee3-996c-fbf0126befe2 · inbound

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

LLM Cyber Evaluations Don't Capture Real-World Risk Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 47

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Observation fcd94e89-ae74-4576-a430-c68e8cb1942c · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2024

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Observation 4dd76008-2c7c-4b8e-a7d3-32227712fbce · inbound

A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management cites this paper.

A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 58

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Observation 572ba4b6-6ed9-42b1-973a-eed5a1ec2da0 · inbound

LLMs unlock new paths to monetizing exploits cites this paper.

LLMs unlock new paths to monetizing exploits Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 66

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Observation 9c21991c-eadb-487d-9a76-7927a1c1cf7b · inbound

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution cites this paper.

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:52.914666Z

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Observation bc7718ec-e1a9-48e5-92f1-5b9dca55f357 · inbound

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

Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 8

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Observation 7794c2eb-86ab-446d-9979-d9af2c171628 · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 44

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Observation 71a0b358-a58c-4eae-a135-ff47b069821d · inbound

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs cites this paper.

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2024

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Observation cb576ed1-53fe-4da0-ab9c-9c13e0aa1f7e · inbound

Establishing Best Practices for Building Rigorous Agentic Benchmarks cites this paper.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 89

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Observation 290af98a-b2cf-432e-bfdb-cf3e875068bd · inbound

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework cites this paper.

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:59.356503Z

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Observation fc9251f0-e653-4768-ba17-b7bf3c19b967 · inbound

Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights cites this paper.

Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:55:34.325643Z

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Observation 00418eaf-ba6c-4c13-b005-b4182b51cdd1 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T04:42:04.771929Z

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Observation ca2ca46d-83e1-4bf8-b634-cbf1ce3a42f3 · inbound

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report cites this paper.

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 53

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Observation a2e33d96-9c84-4793-a4d4-08cedb088a61 · inbound

Agent Identity Evals: Measuring Agentic Identity cites this paper.

Agent Identity Evals: Measuring Agentic Identity Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 6

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Observation 5207f360-b370-4439-a14b-e9273761fc7f · inbound

Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.

Evaluation and Benchmarking of LLM Agents: A Survey Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 114

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Observation 063639a0-1e72-4497-a8a7-3174e901d29a · inbound

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:29.522003Z

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Observation 99d6da7f-8a57-4eda-a3e2-58af7100db2c · inbound

PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts cites this paper.

PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 44

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Observation d5932e34-fc2d-4149-bfda-417ff6e36dd9 · inbound

Quantifying Frontier LLM Capabilities for Container Sandbox Escape cites this paper.

Quantifying Frontier LLM Capabilities for Container Sandbox Escape Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T19:43:40.853518Z

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Observation 8ffd15fe-f1cb-47df-870a-e1f7d5365307 · inbound

Quantifying Frontier LLM Capabilities for Container Sandbox Escape cites this paper.

Quantifying Frontier LLM Capabilities for Container Sandbox Escape Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2019

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Observation d0189277-b3d4-40eb-b3dc-9def2a74622a · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:45:52.939979Z

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Observation 3c7fb686-9676-4ddb-b92a-76b5e3a3191a · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T16:40:51.515451Z

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Observation 58f31584-7ea9-41de-ab10-7890120d3c43 · inbound

AlphaEval: Evaluating Agents in Production cites this paper.

AlphaEval: Evaluating Agents in Production Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:45:58.817569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 670e3a77-f49b-4e6a-b904-6acda6aaf242 · inbound

Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks cites this paper.

Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.087529Z

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Observation 98a4d09b-b3c1-483c-8fd2-b68f5d949d6f · inbound

Can LLMs be Effective Code Contributors? A Study on Open-source Projects cites this paper.

Can LLMs be Effective Code Contributors? A Study on Open-source Projects Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.852344Z

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Observation af10d1ef-b6f1-4213-8cdb-52e0b21494d8 · inbound

Dynamic Cyber Ranges cites this paper.

Dynamic Cyber Ranges Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:53.348658Z

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Observation 901fe0bd-f957-4028-ad60-c19de5e945c4 · inbound

Risk Reporting for Developers' Internal AI Model Use cites this paper.

Risk Reporting for Developers' Internal AI Model Use Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:16:16.399595Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3479441-714c-411a-b0ed-5fb2f8e5e57e · inbound

XekRung Technical Report cites this paper.

XekRung Technical Report Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:51:14.588143Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f2e4b70-ed75-4997-8ad4-4ded7d60ee4d · inbound

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

Trace: Unmasking AI Attack Agents Through Terminal Behavior Fingerprinting Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:41:18.994757Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c487224-e811-4da9-89bd-d92904e4ba7f · inbound

Autonomous Adversary: Red-Teaming in the age of LLM cites this paper.

Autonomous Adversary: Red-Teaming in the age of LLM Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:26:10.508553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb629ce5-673b-4c01-a4d6-b413708b2c71 · inbound

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

Patch2Vuln: Agentic Reconstruction of Vulnerabilities from Linux Distribution Binary Patches Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:11.685007Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 056324e2-fb99-4104-b553-afcf4b86cac3 · inbound

CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios cites this paper.

CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:10:57.348437Z

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Observation f204818c-98b3-493f-ab84-07171811d024 · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:16:27.972213Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24ac8b9d-0e14-4b24-9694-01757c5bc2be · 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 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 49

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Observation 83f64bae-f5e2-4773-88c2-c67e3df1b3d2 · inbound

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications cites this paper.

Ablating Safety: Mechanisms for Removing Alignment in Language Models for Security Applications Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:32:52.563721Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33d9d0cc-241a-4c13-8df6-342a25d52c98 · inbound

Benchmarking Mythos-Linked Bug Rediscovery cites this paper.

Benchmarking Mythos-Linked Bug Rediscovery Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T23:17:57.552731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8584ade9-95b6-446c-bf9e-18902bde487f · inbound

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows cites this paper.

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:18:11.749362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 305c9254-29ad-43f3-8569-8b25cfa8cddf · inbound

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection cites this paper.

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T08:54:45.823514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e042dcc-a9f5-4faf-8701-a82bb982bb3f · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:07.929199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 001041d1-9921-45e9-9866-f3db5b16d6ed · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:06:43.185520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e1e3c4c-a3a3-4fc0-85fc-a7b7e84f2e31 · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:13:26.856759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab106e19-42cb-47ed-b501-4f3b97b30ebf · inbound

Stateful Online Monitoring Catches Distributed Agent Attacks cites this paper.

Stateful Online Monitoring Catches Distributed Agent Attacks Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:56:11.064697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d56a6cf9-90bf-410a-b13a-6f3bd59e972b · inbound

An Evaluation of Data Leakage Risks in Tool-Using LLM Agents in Realistic Scenarios cites this paper.

An Evaluation of Data Leakage Risks in Tool-Using LLM Agents in Realistic Scenarios Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:48:46.344299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99c16f9a-1b02-49bb-b4e3-14ce6bf99e4a · inbound

Poisoned Playbooks: Demystifying Knowledge Poisoning Effects on AI Security Agents cites this paper.

Poisoned Playbooks: Demystifying Knowledge Poisoning Effects on AI Security Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:40:01.102907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1e2d4fa-4aef-4e74-9e82-9d19555f84d9 · inbound

Direct Causation in International Humanitarian Law and the Challenge of AI-Mediated Civilian Cyber Operations cites this paper.

Direct Causation in International Humanitarian Law and the Challenge of AI-Mediated Civilian Cyber Operations Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:54:22.125038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b35eadfd-1caa-44b8-a2e7-2eb5d55a9303 · inbound

Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction cites this paper.

Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:08:21.502047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef5f186d-bd5e-4b54-b7d1-5f3115183312 · inbound

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents cites this paper.

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:37:31.169937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65c92e11-d7bc-443a-8ac8-4bfc8b6376c6 · inbound

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents cites this paper.

ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T00:49:47.662275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ec7e9b-7c8e-48ae-9d35-a983f0fcfb48 · inbound

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents cites this paper.

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T23:44:37.323064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceff4a75-aac0-40df-b438-27b6d540f7d0 · inbound

Harmonizing AI Safety Thresholds cites this paper.

Harmonizing AI Safety Thresholds Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T21:24:15.880141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23646153-646d-483d-acfc-45130e22460a · inbound

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery cites this paper.

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T15:04:09.259606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365145fe-aa15-4a18-8967-cceae3af76e2 · inbound

Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction cites this paper.

Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:36:02.669356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911f64eb-a401-452b-86ca-d0fc8217fff4 · inbound

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks cites this paper.

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T06:49:26.953693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579da816-ab2d-4ffb-98f7-0939b6df73a4 · inbound

The Disruptive Impact of Large Language Models on Capture the Flag Competitions and the Path Toward Fair Play cites this paper.

The Disruptive Impact of Large Language Models on Capture the Flag Competitions and the Path Toward Fair Play Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:31:26.073853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c75942d-277b-4329-a925-2a8d7343f2de · inbound

StealthBench: Measuring Operational Stealth in Autonomous Offensive-Security Agents cites this paper.

StealthBench: Measuring Operational Stealth in Autonomous Offensive-Security Agents Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T00:13:37.291705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a545ca8-c695-4c69-9201-fab9a77b2fae · inbound

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping cites this paper.

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:27:18.744781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc8c6be-b185-4ddf-95ee-b317d5299044 · inbound

Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models cites this paper.

Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T04:19:18.902915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221f4235-aa5c-479f-a954-1eb0a5e64326 · inbound

CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training cites this paper.

CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:02.923242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

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