senworld-a-digital-twin-simulation-for-generating

name	senworld-a-digital-twin-simulation-for-generating-
description	Skill generated from arXiv paper 2607.19949: SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data
metadata	{"arxiv":{"id":"2607.19949","title":"SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data","authors":["Zenghui Zhou","Xiaoyang Li","Xiaoxuan Qiao","Zhilang Wei","Tianming Lei"],"published":"2026-07-22","categories":["cs.AI","cs.CY"],"url":"https://arxiv.org/abs/2607.19949","utility":1}}

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data

arXiv: 2607.19949
Published: 2026-07-22
Authors: Zenghui Zhou, Xiaoyang Li, Xiaoxuan Qiao, Zhilang Wei, Tianming Lei
Categories: cs.AI, cs.CY
Utility: 1.00

Key Innovation

Smartphone personal assistants reason over longitudinal personal data, yet evaluating them requires context-rich evaluation data whose correct answers are known, and real device traces are too privacy-sensitive to share. To address this challenge, we present SenWorld, a physically grounded, deterministic, event-sourced digital-twin simulation that generates such data with ground truth fixed by construction. In SenWorld, personas live through a full day in a world built from real map, weather, ho...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CY.

References

• arXiv: https://arxiv.org/abs/2607.19949