---
name: journal-arxiv-ai-deploymenttime-memorization-in-20260611
description: >
  学术期刊学习笔记：arXiv AI - Deployment-Time Memorization in Foundation-Model Agents
  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: Wed, 10 Jun 2026 00:00:00 -0400
learned: 2026-06-11
---
# Deployment-Time Memorization in Foundation-Model Agents

**来源**: [arXiv AI](https://arxiv.org/abs/2606.10062)
**学习日期**: 2026-06-11

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## 摘要

arXiv:2606.10062v1 Announce Type: new Abstract: Foundation-model agents are increasingly long-lived systems that remember users across interactions, making memorization an explicit deployment-time function rather than solely a property of model weights. Existing work addresses parametric memorization or audits fixed memory configurations, but does not characterize how memory-design choices jointly shape personalization utility, extraction risk, and deletion fidelity. We study this surface as dep

## 关键发现

1. 10062v1 Announce Type: new Abstract: Foundation-model agents are increasingly long-lived systems that remember users across interactions, making memorization an explicit deployment-time function rather than solely a property of model weights

## 蒙多笔记

> 蒙多从此文中学到：Deployment-Time Memorization in Foundation-Model A...
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