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Evidence record

JT236B · JiuXuan \(九玄\)

CyberGym · Evidence record

Sources and provenance ↓ Read the research narrative →

Source snapshot, chart and review scope →

Original source charts and materials

Recorded measurements

Success rate
92.3%

Per-result sample size not disclosed

JiuXuan \(九玄\) · Budget not specified

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 the fraction 0.923. The displayed 92.3% follows multiplication by 100 and rounding to 1 decimal place(s).

Limitations

Vulnerability reproduction is narrower than autonomous compromise of deployed systems.

The score_10 field name does not specify ten trials. Unknown budgets and per-row denominators remain unknown. Team-submitted leaderboard result; no per-row execution receipt or independent reproduction in this extraction. Row denominator, benchmark revision/subset, actual execution date and per-row resource budgets are not disclosed. Source label and URL do not establish the actual executor, developer or submitter.

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] CyberGym official leaderboard and machine-data extraction ; /level1/37/score_10