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The paper presents a small analytical algebra for governed data analysis, demonstrating that a deterministic policy-executed approach outperforms runtime planning in preserving analytical meaning and evidence across experiments.
This paper introduces a governed analytics framework that pairs language models for intent interpretation with deterministic policy execution of pre-approved programs, achieving full reliability where runtime-planning agents failed.