{
  "id": 18258989,
  "title": "Rules, Traces and Routing Statistics: Training and Calibration Data for Open Models on ARC-AGI-2",
  "url": "https://urgent.news/2026/11/04/rules-traces-and-routing-statistics-training-and-calibration-data-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T17:41:09.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06827v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We study which training and calibration data help three open models solve ARC-AGI-2 tasks when the solver runs offline on four L4 GPUs for at most 12 hours. We compare data offline on public tasks and report 189 runs on the 120 hidden semi-private tasks. For the NVARC Qwen3-4B grid model, we built a corpus of 12,000 executable rules in a typed language and 95,993 tasks; a rule is admitted only if…",
  "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."
}