LLM code generation: Citation trade-off between determinism and hallucination detection

A new research paper explores how different frameworks for specification-driven development (SDD) impact the determinism and hallucination detection rates of LLM-generated code. The study compared three frameworks: traceSDD, Spec Kit, and OpenSpec, using Claude Sonnet 4.6 and GLM-5-turbo. Results indicate that frameworks enforcing mandatory citations, like traceSDD, reduce output determinism but significantly improve automated hallucination detection rates. The findings suggest a trade-off between code determinism and verifiability in LLM-generated code, a pattern consistent across different model architectures. AI

IMPACT Highlights a critical trade-off in LLM code generation, impacting reliability and verification for developers.

RANK_REASON Academic paper presenting empirical study results on LLM-generated code. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Claude Sonnet 4.6
• GLM-5-turbo
• traceSDD

• paper
• model release

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