mlsanityData to 14 Oct 2026

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

arXiv 2607.21758 ↗First posted 23 Jul 2026cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

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 makes the writing process itself the evidence. Users configure writing environments for personal documents or assigned tasks and draft in a workspace that records writing activity and in-platform AI assistance. Humanly can package a completed session into a sealed writing certificate with configuration-aware anomaly behavior review. It can support writing scenarios such as course assignments, peer review, and personal certification. Our user study shows that Humanly is helpful across roles, and a red-teaming study shows that the Humanly Typing Detector distinguishes human hand typing from automated typing.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 13 references that are in the map. First posted on arXiv 23 Jul 2026.

Builds on

10 of 13 references.

References · 10

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  2. 2023A Watermark for Large Language Modelscited by 725
  3. 2023GPT detectors are biased against non-native English writerscited by 178
  4. 2023Testing of Detection Tools for AI-Generated Textcited by 90
  5. 2025RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environmentscited by 46
  6. 2025A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?cited by 23
  7. 2024GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Educationcited by 14
  8. 2026Stop Automating Peer Review Without Rigorous Evaluationcited by 14
  9. 2025Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMscited by 6
  10. 2026Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceablecited by 6

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf
  2. 2025Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
  3. 2025Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
  4. 2026Show, Don't TELL: Explainable AI-Generated Text Detection
  5. 2024Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits
  6. 2025Writing as a testbed for open ended agents
  7. 2025Human-Centered Evaluation of RAG outputs: a framework and questionnaire for human-AI collaboration
  8. 2026Traceable Scholarship: Page Anchors and Ariadne's Thread for Humanistic Inquiry in the Age of Generative AI