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Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability

Paper recorded by Signals 4 on 2026-09-04 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.AI · 人工智能 · first seen 2026-09-07

Abstract

Model upgrades are routine; memory migrations are not. An agent can keep the same memory store and still forget: a new model may interpret old notes differently, mixed embedding versions may break retrieval, and repair may fail without the original evidence. We compare memory as the same history is preserved verbatim for long-context reading (LC-RAW), divided into chunks for retrieval-augmented ge

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#173 most recent of 300 cs.AI papers we have recorded · ↑ newer: Who Should Grade My Work? Student Perspectives on Transparent AI-Assis · ↓ older: The History Is the Detector: Executing CVE Patch History, End-to-End
Cite this page: Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability: the #173 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-your-agent-s-memory-survive-a-model-upgrade-a-controlled-study-of-memory-po.html
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