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RunningTab: Direct Workspace Interaction with Environment-Side Tabs

Paper recorded by Signals 4 on 2026-10-07 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.AI · 人工智能 · first seen 2026-10-08

Abstract

Much knowledge work produces new deliverables from files a workspace already holds, and LLM agents are beginning to take such work over. Through direct corpus interaction, an agent can search and read any of those files from a terminal with no indexing, and producing a deliverable from many of them in this way is what we call direct workspace interaction (DWI). Reaching the files, however, is only

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#396 most recent of 960 cs.AI papers we have recorded · ↑ newer: A Good Self-Teacher Meets the Student Where They Are: Joint On-Policy · ↓ older: Q-Learning with Scalar Adjoint Matching
Cite this page: RunningTab: Direct Workspace Interaction with Environment-Side Tabs: the #396 most recent of 960 cs.AI papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/runningtab-direct-workspace-interaction-with-environment-side-tabs.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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