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": 1.0
    }
  }
---
# 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