---
title: "Object-Centric Environment Modeling for Agentic Tasks — Stuff That Spins"
description: "arXiv:2607.02846v1 Announce Type: new Abstract: Large language model (LLM) agents can improve through accumulated experience, but free-form textual memories be…"
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date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:03:17.812158+00:00"
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# Object-Centric Environment Modeling for Agentic Tasks

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.02846  

## On this page

- [Overview](#overview)

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

## Overview

arXiv:2607.02846v1 Announce Type: new Abstract: Large language model (LLM) agents can improve through accumulated experience, but free-form textual memories become difficult to maintain, validate, and reuse as interactions grow. Recent symbolic approaches learn executable skills or programmatic world models, yet often store local procedures or assume simplified dynamics. We propose Object-Centric Environment Modeling (OCM), which organizes experience into an executable object-centric environment

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