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  1. Home
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  3. CADSmith: Multi-Agent CAD Generation with Programmatic Geome
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CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

Fresh6d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 12

References: 33

Proof: unverified

Freshness: fresh

Source paper: CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

PDF: https://arxiv.org/pdf/2603.26512v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-30T21:52:17.059Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

Overall score: 7/10
Lineage: 76f4cf1b627e…
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Canonical Paper Receipt

Last verification: 2026-03-30T21:52:17.059Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 33

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - proof_status
  • - distribution_readiness_scores
Unknowns
  • - distribution readiness has not been computed yet
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Key claims

Strong 12Mixed 0Weak 0

Founder DNA

Jesse Barkley
Carnegie Mellon University
Papers 1
Founder signal: 50/100
Research
Rumi Loghmani
Carnegie Mellon University
Papers 1
Founder signal: 50/100
Research
Amir Barati Farimani
Carnegie Mellon University
Papers 1
Founder signal: 50/100
Research

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Keep exploring

Prior Work
Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
Score 7.0stable
Prior Work
GeoFusion-CAD: Structure-Aware Diffusion with Geometric State Space for Parametric 3D Design
Score 7.0stable
Prior Work
Learning From Design Procedure To Generate CAD Programs for Data Augmentation
Score 7.0stable
Prior Work
A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
Score 7.0stable
Prior Work
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
Score 7.0stable
Prior Work
Design-Specification Tiling for ICL-based CAD Code Generation
Score 7.0stable
Prior Work
coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation
Score 7.0stable
Higher Viability
DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces
Score 8.0up

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Talent Scout

J

Jesse Barkley

Carnegie Mellon University

R

Rumi Loghmani

Carnegie Mellon University

A

Amir Barati Farimani

Carnegie Mellon University

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