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Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design

Paper recorded by Signals 4 on 2026-09-18 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.AI · 人工智能 · first seen 2026-09-21

Abstract

Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We introduce a continual adaptation framework in which a frozen frontier model operates professional design software through more than 230 tools, while an external procedural memory of natural-language skills

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#1 most recent of 320 cs.AI papers we have recorded · ↓ older: CodeMidas: Scaling Agentic Coding RL Environments from Code Itself
Cite this page: Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design: the #1 most recent of 320 cs.AI papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/designer-rsi-evolving-procedural-memory-from-user-traffic-for-agentic-graphic-de.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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