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Evidence record 13733 · automatically gathered

Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing

Teachers, conference chairs, and public readers all judge writing from limited evidence, seeing only a finished document and not the process that produced it. Final text alone cannot reveal whether a document was produced through human typing, AI generation, or mixed human-AI collaboration. Existing process-tracking tools help, but many are tied to host-document histories, provide coarse activity records, and offer limited control over the writing environment. Humanly is a writing platform that

Record details

Published: 23 July 2026
Source: arXiv red teaming query
Category: Research
Topics: Privacy · Environment
Retrieved: 27 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: Privacy · Shared topic: Environment

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arXiv cs.CY · 23 July 2026

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Enabling Multilingual Privacy Policy Audits: Large-Scale Analysis of Spanish Mobile Apps

arXiv cs.CY · 22 July 2026

Shared topic: Privacy · Shared topic: Environment

AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models

arXiv cs.AI · 20 July 2026

Shared topic: Privacy · Shared topic: Environment

STAR: Skeletal Token Alignment and Rearrangement for Interaction Recognition

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Shared topic: Privacy · Shared topic: Environment

Federated Lightweight Intrusion Detection in Drone Swarms with Knowledge Distillation

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Shared topic: Privacy · Shared topic: Environment

RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment

arXiv cs.LG · 29 July 2026

How to cite this record

ethics.ai (23 July 2026), “Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing,” evidence record 13733, https://ethics.ai/record/13733 (originally published by arXiv red teaming query).

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