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title: "CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAG — Stuff That Spins"
description: "arXiv:2607.26470v1 Announce Type: new Abstract: Multi-turn information-seeking conversations require both multi-hop reasoning and long-range dependency trackin…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-30T04:00:00+00:00"
modified: "2026-07-30T12:04:05.477441+00:00"
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# CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAG

**Source:** Unknown  
**Published:** July 30, 2026  
**Original:** https://arxiv.org/abs/2607.26470  

## On this page

- [Overview](#overview)

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

## Overview

arXiv:2607.26470v1 Announce Type: new Abstract: Multi-turn information-seeking conversations require both multi-hop reasoning and long-range dependency tracking across turns. However, existing RAG systems typically represent conversational memory as raw dialogue history, rewritten queries, or unstructured summaries, making it difficult to recover the specific prior reasoning steps and evidence required for follow-up queries. Our key insight is to align conversational memory with retrieval by rep

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