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Preprint Sep 2026

REBASE: Device-Cloud Experience Coherence for GUI Agents Across App Updates

A graphical user interface (GUI) agent that ships on a phone runs a small model and reuses experience: action paths recorded on earlier runs and cached from the cloud. When an app updates, part of this experience becomes silently wrong. On nine real app version pairs, an agent carrying experience recorded on the old ve...

Bei-Ning Wu, Jun Huang, Yan-Xiao Zhao · 3 citations
#artificial intelligence Preprint Oct 2026

Not All Experience Belongs in the Weights: Component Routing for Self-Improving GUI Agents

This work introduces component routing, which splits the experience into locators, procedures, state facts and lessons and sends each component to the context or to the weights, compared on the same items across three backbone families, two environments and three seeds.

Bei-Ning Wu, Zi-Hao Ding, Jun Huang · 3 citations
#artificial intelligence Preprint Sep 2026

ERRAND: Budgeted Maintenance of Agent Memory

This work introduces ERRAND, which treats revalidation as a priced errand, which clears every non-oracle policy on the preregistered calibers, primary in every setting and conditional at every binding budget, leading eager revalidation by 10.0pp at the base cap.

Bei-Ning Wu, Zi-Hao Ding, Jun Huang · 2 citations

When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks

Experiments on LIBERO with two vision-language-action backbones, three deletion granularities, and a physical Jetson-based edge testbed show that MUTE keeps behavioral leakage and influence regeneration low while preserving task utility and using much less communication than full retraining.

Zi-Hao Ding, Jun Huang, Liang Dong · 0 citations
Preprint Jul 2026

CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization

CrystalMem (Crystallized Memory), an elastic memory sidecar that demotes entries across four fidelity states under a crystallization-energy schedule, orders demotions by advantage-weighted influence with dependency coupling, and recovers capability through verified recrystallization under explicit compute and byte caps...

Bei-Ning Wu, Jun Huang · 3 citations

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