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IdeaLens: Detecting AI Ideas in Long-form Writing

Paper recorded by Signals 4 on 2026-10-05 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.AI · 人工智能 · first seen 2026-10-06

Abstract

While modern AI detectors identify who wrote the words, emerging policies on AI use increasingly hinge on a different question: who came up with the ideas? We introduce IdeaLens, a detector that identifies whether a document's ideas came from a human or AI (idea provenance), regardless of who wrote its words. To focus IdeaLens on ideas rather than prose, we represent documents as outlines: lists o

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#456 most recent of 980 cs.AI papers we have recorded · ↑ newer: Back to the Future: Rethinking EDA Infrastructure for Agentic Systems · ↓ older: Conditional Rank Allocation for Taxonomy-Aware Medical Language Model
Cite this page: IdeaLens: Detecting AI Ideas in Long-form Writing: the #456 most recent of 980 cs.AI papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/idealens-detecting-ai-ideas-in-long-form-writing.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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