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title: "DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment — Stuff That Spins"
description: "arXiv:2607.07820v1 Announce Type: new Abstract: Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning re…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-10T04:00:00+00:00"
modified: "2026-07-10T06:03:29.430178+00:00"
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# DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

**Source:** Unknown  
**Published:** July 10, 2026  
**Original:** https://arxiv.org/abs/2607.07820  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.07820v1 Announce Type: new Abstract: Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning relies on fixed teacher-distilled trajectories, while sparse-reward reinforcement learning provides weak supervision for long-horizon interactions. We present DeepSearch-Evolve, a self-distillation framework for web agents built on DeepSearch-World, a deterministic and verifiable environment with reproducible search and page-reading tools. D

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