---
title: "Discussion on \"ReFlect: Training-Free Error Recovery for Long-Horizon LLM Reasoning\" | Hashnode"
description: "Discussion on \"ReFlect: Training-Free Error Recovery for Long-Horizon LLM Reasoning\". Long-horizon reasoning is where production LLM agents tend to quietly break. A model can produce a plausible-looking chain of thought, accept a wrong intermediate answer, and continue building on that error for every step that follows. By the time th..."
url: "https://hashnode.com/posts/reflect-long-horizon-reasoning-harness-2026/6a01c853daef8f41a8e814d9"
---

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# [ReFlect: Training-Free Error Recovery for Long-Horizon LLM Reasoning](https://effloow.hashnode.dev/reflect-long-horizon-reasoning-harness-2026?utm_source=hashnode&utm_medium=feed)

Long-horizon reasoning is where production LLM agents tend to quietly break. A model can produce a plausible-looking chain of thought, accept a wrong intermediate answer, and continue building on that error for every step that follows. By the time th...

May 11 · 5 min read · effloow.hashnode.dev  
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-   [#agents](https://hashnode.com/tag/agents)
-   [#arxiv-2026](https://hashnode.com/tag/arxiv-2026)
-   [#inference](https://hashnode.com/tag/inference)
-   [#llm-reasoning](https://hashnode.com/tag/llm-reasoning)

## Written by

[Jangwook Kim](https://hashnode.com/@effloow)

@effloow · Tokyo, Japan

  
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