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Evidence record

Claude Opus 4.6

CyberGym · Evidence record

Sources and provenance ↓ Read the research narrative →

Source snapshot, chart and review scope →

Original source charts and materials

Recorded measurements

CyberGym pass@1
44.55%

45/101

Harness not specified · 2M tokens per task

Assessment provenance

GLM-5.2 Risk Evaluation Report → · External report

Actual evaluation: Lyptus Research · Model record →

Method and scope

Validated reproduction across a corpus of historical vulnerabilities.

Evidence type
Benchmark
Assessment subject
AI agent reproducing historical vulnerabilities
Primary dimension
Capability
Evidence snapshot
2026-10-29.1

Primary dimension follows the source’s measured construct. Metric-level interpretations may differ.

Source finding

The source reports 45/101. NUWA calculates the displayed 44.55% from those counts, rounded to two decimal places.

Limitations

Vulnerability reproduction is narrower than autonomous compromise of deployed systems.

122 GLM tasks run; comparison restricted to 101 matched tasks. Nineteen tasks lacked comparator coverage; two tasks excluded as defective. Hard-task selection not representative of all 1507 tasks.

Original figure retained without estimating numerical values. Full source tables have not been transcribed.

Related research questions

References

  1. [1] Zhun Wang, Tianneng Shi, et al.. CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale. 2026-03-24. v3 [arXiv]; Author affiliations on the original paper title page; Figure 2
  2. [2] GLM-5.2 Risk Evaluation Report. 2026-08-02. v1.1 · revised 26 August 2026 ; p.8 Fig.3 printed bar label