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    "story_id": "mp-2026-10-03-011",
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    "edition_id": "mp-2026-10-03-morning-0086",
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    "headline": "Earlier Loops Made the Final Loop Better",
    "slug": "earlier-loops-made-the-final-loop-better",
    "dek": "LoopCD contrasts the final prediction of a looped transformer with an earlier recurrent pass without training another model.",
    "summary": "LoopCD contrasts the final prediction of a looped transformer with an earlier recurrent pass without training another model.",
    "body_text": "Looped transformers expose aligned weak and strong predictions because the same block produces decodable states at successive passes. LoopCD uses an earlier pass as a contrastive signal for the final prediction. The authors report AIME 2024 pass@1 rising from 61.88 to 73.33 percent for Ouro-2.6B-Thinking and HumanEval pass@1 from 22.56 to 31.71 percent for Huginn, while some configurations matched full-depth baselines with 22.5 to 48.2 percent fewer forward FLOPs.",
    "why_it_matters": "LoopCD contrasts the final prediction of a looped transformer with an earlier recurrent pass without training another model.",
    "limitations": [],
    "importance": 8,
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    "first_published_at": "2026-10-03T09:00:00.000-04:00",
    "modified_at": "2026-10-03T09:00:00.000-04:00",
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    "source_ids": [
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    "tags": [
      "looped transformers",
      "decoding",
      "inference efficiency"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-10-03-011",
      "title": "arXiv preprint 2610.02185",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.02185",
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      "published_at": "2026-10-01T13:58:38.000-04:00",
      "accessed_at": "2026-10-03T08:31:37.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Earlier Loops Made the Final Loop Better",
    "publisher": "The Machine Press",
    "published_at": "2026-10-03T09:00:00.000-04:00",
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