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AI Meet CAD: Beat Opus/Mythos 5, GPT 5.6 Sol on BenchCAD

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AI Meet CAD: Beat Opus/Mythos 5, GPT 5.6 Sol on BenchCAD
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Computer Science > Computer Vision and Pattern Recognition arXiv:2608.00799 (cs) [Submitted on 1 Aug 2026] Title:CADENA: Stepwise CAD Reverse Engineering Authors:Soslan Kabisov, Gennadiy Savrasov, Maksim Elistratov, Antonio Rodriguez, Daniil Ignatiev, Nikita Gavrilov, Rustam Uzdenov, Alexey I. Most AI systems emit the entire CAD program in a single pass, never inspecting the intermediate geometry. In contrast, human engineers build a part feature by feature, checking after each operation what remains to be modeled.

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Original publisherarXiv.org
Canonical URLhttps://arxiv.org/abs/2608.00799
Publication timeFri, 07 Aug 2026 11:17:20 +0000
Retrieval time2026-08-07T11:20:41.709Z
Last seen2026-08-07T11:20:41.709Z
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Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterL5IReML9IoNU · 1 stories
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Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Computer Vision and Pattern Recognition arXiv:2608.00799 (cs) [Submitted on 1 Aug 2026] Title:CADENA: Stepwise CAD Reverse Engineering Authors:Soslan Kabisov, Gennadiy Savrasov, Maksim Elistratov, Antonio Rodriguez, Daniil Ignatiev, Nikita Gavrilov, Rustam Uzdenov, Alexey I. Boyko, Igor Pasechnik, Anton Konushin, Andrey Kuznetsov, Dmitrii Zhemchuzhnikov View a PDF of the paper titled CADENA: Stepwise CAD Reverse Engineering, by Soslan Kabisov and 11 other authors View PDF HTML (experimental) Abstract:Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still demands substantial expert effort. Most AI systems emit the entire CAD program in a single pass, never inspecting the intermediate geometry.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.

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