---
name: journal-arxiv-ai-why-limit-the-20260609
description: >
  学术期刊学习笔记：arXiv AI - Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Co
  蒙多每日期刊学习系统自动提取。
version: 1.0.0
author: mundo-journal-bot
priority: LOW
auto_activate: MANUAL
category: journal-learnings
source: arXiv AI
published: Tue, 09 Jun 2026 00:00:00 -0400
learned: 2026-06-09
---
# Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning

**来源**: [arXiv AI](https://arxiv.org/abs/2606.07720)
**学习日期**: 2026-06-09

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## 摘要

arXiv:2606.07720v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable reasoning abilities on mathematical and multi-hop planning tasks. The CoCoNuT (Chain of Continuous Thought) paradigm~\cite{hao2024coconut} extends this by enabling models to reason in latent space, exploring multiple reasoning paths simultaneously rather than committing to a single chain early on. However, we identify a limitation we term the \textbf{concept bottleneck}. At each reasoning pa

## 关键发现

1. 07720v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable reasoning abilities on mathematical and multi-hop planning tasks

## 蒙多笔记

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