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QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics

Enterprise data analysis is emerging as a distinct frontier for autonomous agents. Compared with general-purpose interaction and software engineering, it operates in an open, ambiguous, and continuously evolving environment. These characteristics call for a data-agent architecture that treats semantics, methodology, execution, and evolution as first-class system concerns. To this end, we introduce QwenPaw-Data, an agentic data system designed for enterprise intelligent data analysis. QwenPaw-Dat

Record details

Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Agents & autonomy · Shared topic: Environment

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arXiv · 13 July 2026

Shared topic: Agents & autonomy · Shared topic: Environment

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy

arXiv · 13 July 2026

Shared topic: Agents & autonomy · Shared topic: Environment

Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

arXiv · 12 July 2026

Shared topic: Agents & autonomy · Shared topic: Environment

ERR@HRI 3.0 Challenge: Multimodal Detection of Errors and Anticipation in Human-Robot Interactions

arXiv cs.HC · 13 July 2026

Shared topic: Agents & autonomy · Shared topic: Environment

MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents

arXiv cs.AI · 13 July 2026

Shared topic: Agents & autonomy · Shared topic: Environment

PalmClaw: A Native On-Device Agent Framework for Mobile Phones

HuggingFace Daily Papers · 13 July 2026

How to cite this record

ethics.ai (13 July 2026), “QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics,” evidence record 24, https://ethics.ai/record/24 (originally published by arXiv).

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