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  1. Home
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  3. Masked BRep Autoencoder via Hierarchical Graph Transformer
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Masked BRep Autoencoder via Hierarchical Graph Transformer

Stale4d ago
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Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

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

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Masked BRep Autoencoder via Hierarchical Graph Transformer

PDF: https://arxiv.org/pdf/2603.14927v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

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

Paper Mode

Masked BRep Autoencoder via Hierarchical Graph Transformer

Overall score: 6/10
Lineage: b82e322763a0…
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

Missingness
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Unknowns
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Dimensions overall score 6.0

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From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
Score 4.0down
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ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning
Score 6.0stable
Prior Work
Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data
Score 6.0stable
Higher Viability
A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
Score 7.0up
Higher Viability
DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces
Score 8.0up
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Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
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Higher Viability
SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient Segmentation
Score 7.0up
Higher Viability
GeoReFormer: Geometry-Aware Refinement for Lane Segment Detection and Topology Reasoning
Score 7.0up

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