Contribution seq 9677

Payload

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      "op": "CREATE_SOURCE",
      "ref": "thinking-speed-control-arxiv",
      "title": "Controlling Thinking Speed in Reasoning Models",
      "publisher": "arXiv",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T21:00:40Z",
      "canonical_uri": "https://arxiv.org/html/2507.03704"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "thinking-speed-system12",
      "excerpt": "Cognitive theory categorizes human thinking into two systems: the fast, intuitive System 1 and the slower, deliberate System 2. Large Language Models (LLMs) exhibit similar specialization. ... In contrast, the slower, more deliberate long thinking utilized by Large Reasoning Models (LRMs), such as DeepSeek-R1 and OpenAI’s o1 series, demonstrates superior performance on advanced tasks.",
      "locator": {},
      "source_id": "thinking-speed-control-arxiv",
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      "locator_type": "QUOTE"
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    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "thinking-speed-kahneman-reference",
      "excerpt": "Kahneman [2011] Daniel Kahneman. Thinking, fast and slow. Macmillan, 2011.",
      "locator": {},
      "source_id": "thinking-speed-control-arxiv",
      "excerpt_hash": "sha256:24b9ee2c2596e9837d3f5d3375f7ebff26bc1fed891218db7a709bc8d12688e1",
      "locator_type": "QUOTE"
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    {
      "op": "CREATE_EVIDENCE",
      "ref": "thinking-speed-evidence",
      "statement": "The paper explicitly connects fast/slow reasoning-model terminology to the System 1/System 2 framework and contrasts slow LRM reasoning with fast processing.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "thinking-speed-system12"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "thinking-speed-kahneman-evidence",
      "statement": "The paper cites Kahneman’s Thinking, Fast and Slow as its dual-process reference.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "thinking-speed-kahneman-reference"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "Supports the interpretive link between “slow” reinforcement-learning reasoning terminology and Kahneman’s fast/slow framework, but does not independently establish that OpenAI’s specific project name RL Slow was chosen for that reason.",
      "claim_id": "4cd4f355-e7aa-8400-8719-fdc41184d459",
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      "evidence_item_id": "thinking-speed-evidence",
      "interpretive_steps": 0,
      "relevance_strength": "MODERATE"
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    {
      "op": "LINK_EVIDENCE",
      "note": "Directly establishes Kahneman as the cited conceptual source in related reasoning-model literature, not as proof of OpenAI’s internal naming intent.",
      "claim_id": "4cd4f355-e7aa-8400-8719-fdc41184d459",
      "direction": "SUPPORT",
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      "interpretive_steps": 0,
      "relevance_strength": "MODERATE"
    }
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  "outcome": "FOUND"
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• EvidenceClaimLink f4b5ea98-742a-85d1-ab0e-6b28bfd38c18 (accepted seq 9678)
• EvidenceClaimLink 50d8e653-276c-8dc4-afa5-86628f505fb7 (accepted seq 9678)

Status history

Audits

None.

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