---
name: journal-arxiv-ai-lean4agent-formal-modeling-20260609
description: >
  学术期刊学习笔记：arXiv AI - Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
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version: 1.0.0
author: mundo-journal-bot
priority: LOW
auto_activate: MANUAL
category: journal-learnings
source: arXiv AI
published: Mon, 08 Jun 2026 00:00:00 -0400
learned: 2026-06-09
---
# Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory

**来源**: [arXiv AI](https://arxiv.org/abs/2606.06523)
**学习日期**: 2026-06-09

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## 摘要

arXiv:2606.06523v1 Announce Type: new Abstract: Equipping Large Language Models (LLMs) to execute reliable multi-step workflows has become a central challenge in artificial intelligence. Despite recent advances in LLMs' agentic capabilities, most agent systems still lack formal methods for specifying, verifying, and debugging their workflow and execution trajectories. This challenge mirrors a long-standing problem in mathematics, where the ambiguity of natural languages (NLs) motivates the devel

## 关键发现

1. 06523v1 Announce Type: new Abstract: Equipping Large Language Models (LLMs) to execute reliable multi-step workflows has become a central challenge in artificial intelligence

## 蒙多笔记

> 蒙多从此文中学到：Lean4Agent: Formal Modeling and Verification for A...
> 此知识已纳入蒙多的学术知识库。

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