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Formal Framework for LLM-Verifier Systems: Convergence Theorem and 4/δ Latency Bound

By

PaulHoule

5mo ago· 2 min readenInsight

Summary

This research paper presents a formal framework for integrating Large Language Models with Formal Verification tools, addressing reliability issues in current methods. The authors develop an LLM-Verifier Convergence Theorem that provides provable guarantees for termination in multi-stage verification pipelines. They model the interaction as a sequential absorbing Markov Chain with four stages (CodeGen, Compilation, InvariantSynth, SMTSolving) and prove that for any non-zero stage success probability, the system reaches verification almost surely. The paper derives a precise latency bound of 4/δ and validates the theory through extensive empirical testing of over 90,000 trials. The research identifies three operating zones and proposes dynamic calibration strategies for real-world applications.

Key quotes

· 5 pulled
This work bridges this critical gap by developing an LLM-Verifier Convergence Theorem, providing the first formal framework with provable guarantees for termination in multi-stage verification pipelines.
We prove that for any non-zero stage success probability (δ > 0), the system reaches the Verified state almost surely.
Furthermore, because of the sequential nature of the pipeline, we derive a precise latency bound of 𝔼[n] ≤ 4/δ.
The results match the theory with striking consistency: every run reached verification, and the empirical convergence factor clustered tightly around C_f ≈ 1.0.
Together, these contributions replace heuristic guesswork with a rigorous architectural foundation, enabling predictable resource planning and performance budgeting for safety-critical software.
Snippet from the RSS feed
The integration of Formal Verification tools with Large Language Models (LLMs) offers a path to scale software verification beyond manual workflows. However, current methods remain unreliable: without a solid theoretical footing, the refinement process ac

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