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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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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

  1. arXiv cs.AI TIER_1 English(EN) · Subham Panda ·

    Citation Discipline in Spec-Driven Development: A Cross-Model Empirical Study of Output Determinism and Automated Hallucination Detection in LLM-Generated Code

    arXiv:2606.30689v1 Announce Type: cross Abstract: Spec-Driven Development (SDD) frameworks guide Large Language Model (LLM)-powered code generation through formal specifications, yet they differ fundamentally in how they enforce traceability between requirements and generated cod…