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July 13, 2026Open Access

Natural Language Has No Formal Semantics. Verify the Decision Anyway.

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Authors

RFRay Fatahi

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Overview

Randomized trial investigates verifying decisions in natural language systems, indicating new verification strategies.

Key Points

  • This research aims to evaluate the verification of decision systems using natural language without relying on formal semantics.
  • Implemented translation validation to verify each decision instance.
  • Utilized Lean 4 for kernel correctness and Z3 for decision outcomes.
  • Conducted assessment on workers'-compensation decisions and license-compliance records.
  • Achieved 100% independent re-derivation and tamper detection in initial analyses.
  • Demonstrated a significant drop in coverage from 92% to 15% when using a weak lift, while soundness remained unchanged.
  • Verified 96.7% of decisions in the second corpus with McNemar exact p=0.0009.

Cite This Study

Ray Fatahi (2026) studied this question.

synapsesocial.com/papers/6a548195475c38bf615a594chttps://doi.org/10.5281/zenodo.21303485
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