{
  "url": "https://appliedfrontier.nl/en/research/signal-56ab1aae4224aa17/",
  "title": "More Accurate or More Efficient? Evaluating Locally Deployed Compact Open-Weight Language Models for Mathematical Reasoning",
  "published": "2026-08-22",
  "excerpt": "Large language models are increasingly deployed on local hardware for privacy, cost, and accessibility reasons. Yet many evaluations emphasize accuracy while fewer quantify local runtime",
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  "artifact_links": [
    "https://arxiv.org/abs/2608.22048"
  ],
  "arxiv_id": "2608.22048",
  "id": "signal-56ab1aae4224aa17",
  "org": "Research community",
  "topic": "Mathematical reasoning",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_metadata_triage_v1",
  "novelty_verified": false,
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  "matched_terms": [
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    "reasoning"
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  "checked_at": "2026-10-29T22:08:08+00:00",
  "first_seen": "2026-10-29T21:52:00+00:00",
  "source_hash": "65ee5b915b928071d6572535f9f6a73c32f009af4a515684f7a905c321996631",
  "source_url": "https://arxiv.org/abs/2608.22048",
  "language": "en",
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}