Summary

The paper presents a verifier for AI-generated GPU kernels built on twelve adversarial property-based gates, most of them tolerance-free; it agrees with reference correctness code 98.5% of the time. The authors used it to audit 2,638 publicly accepted machine-generated kernels: 39.5% were broken beyond any tolerance argument, and 62.1% had at least one violation. Field-standard tests accepted 1,487 kernels that the verifier rejected.

Why it matters
For any team shipping LLM-generated code validated only by loose tests, this is a directly actionable warning: property-based adversarial gates belong in kernel and code CI.
Technical details
Kernels Audited 2638
Broken Beyond Tolerance 39.5%
At Least One Violation 62.1%
Agreement With Reference 98.5%
Code Zenodo artifact, no GitHub repo
Tags
verificationgpu-kernelsllm-codegenproperty-based-testing