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One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline

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

Pipeline figures in ML papers must be repurposed across many canvases, including paper columns, 16:9 slides, portrait posters, 1:1 social teasers, 9:16 phone previews. Each format imposes a different aspect ratio on the same computational graph, where any silently broken connection misrepresents the method. We formulate aspect-ratio-adaptive flowchart relayout as a distinct task: given a raster fl

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#421 most recent of 960 cs.AI papers we have recorded · ↑ newer: ParanoiaEval: Benchmarking Unnecessary Defensive Work in Agentic Codin · ↓ older: Base Models Can Reason By Taking a Cue From Training Data
Cite this page: One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline: the #421 most recent of 960 cs.AI papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-figure-every-canvas-editable-flowchart-relayout-via-agentic-pipeline.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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