arxiv
PublishedNovember 4, 2026 at 5:00 AM
MemShift: Separating Detection from Repair in LLM-Derived Personal Memory
Publisher summary· verbatim
arXiv:2611.02338v1 Announce Type: new Abstract: AI assistants store values that a language model derived from a person's records under the person's own definitions, such as their important contacts. Keeping such a value correct takes two steps: detection, noticing that an input changed, and repair,
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings4harxivFidelity Collapses with Table Size, Not Turn Count: Delivery Architecture in a Deployed Tool-Using Agent4harxivFrom Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory4harxivSteering Readerly Dynamics: Trajectory-Guided Story Generation with Large Language Models4hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗