{
  "id": 6682526,
  "title": "Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations",
  "url": "https://urgent.news/2026/09/10/learn-the-solid-not-the-file-canonical-inputs-for-neural-networks-on",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T14:08:03.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.11573v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Boundary representation (B-rep) is the standard format used by modern CAD systems for parametric 3D models. It turns out, the exact same solid can be represented by different B-reps: for example, two engineers using different operations, a geometry kernel rebuilding the file, and an export setting repartitioning faces will lead to different B-reps even though the underlying solid remains the…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}