---
id: 20260625-T0-04
title: "VeryTrace：通过可编译形式验证LLM推理链"
title_en: "VeryTrace: Verifying LLM Reasoning Traces via Compilable Formalism"
url: https://ai.daily.yangsir.net/daily/20260625-T0-04
issue_date: 2026-06-25
publish_date: 2026-06-24T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.24124
---

# VeryTrace：通过可编译形式验证LLM推理链

新研究提出VeryTrace框架，用于解决思维链（CoT）推理中的逻辑错误传播问题。该方法将自然语言推理步骤转换为可编译的形式化逻辑，并利用结构化验证机制捕捉幻觉或逻辑谬误，显著提升了多步推理的可靠性。

## English Version

**VeryTrace: Verifying LLM Reasoning Traces via Compilable Formalism**

New research presents VeryTrace, a framework addressing logical error propagation in Chain-of-Thought (CoT) reasoning. It converts natural language steps into compilable formal logic and uses structured verification to detect hallucinations or logical fallacies, significantly improving multi-step reasoning reliability.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.24124)

**详情页**：https://ai.daily.yangsir.net/daily/20260625-T0-04

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