推理聲明代幣（RCTs）：外部表徵治理中可檢驗AI推理的觀察性建構
本文介紹了推理聲明代幣（RCTs），這是AIVO標準內的一種新構建，旨在增強外部表徵中AI推理的可檢驗性。RCTs捕捉AI系統在推理過程中產生的離散、時間索引的推理聲明，從而促進面向治理的可追溯性，而不斷言其正確性。
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Reasoning Claim Tokens (RCTs): An Observational Construct for Inspectable AI Reasoning in External Representation Governance
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As large language models increasingly mediate external representations of enterprises, products, and services, governance risk has shifted from output quality toward post-hoc inspectability of reasoning. Existing approaches emphasize accuracy, verification, or intervention, but often fail to provide reconstructable evidence of how AI-mediated outcomes emerged.
This paper introduces Reasoning Claim Tokens (RCTs), an observational construct within the AIVO Standard designed to make AI reasoning inspectable without asserting correctness, causality, or compliance. RCTs capture discrete, time-indexed reasoning claims expressed by AI systems during inference and associate them with observable selection outcomes. Positioned beneath Prompt-Space Occupancy Score (PSOS) and Answer-Space Occupancy Score (ASOS), RCTs close the attribution gap between observed outcomes and un-inspectable reasoning contexts.
RCTs are not a verification mechanism. They do not score truth, validate authority, or steer model behavior. Their purpose is governance-oriented traceability: enabling enterprises, boards, regulators, and auditors to reconstruct what an AI system reasoned with at a given moment, across models and sessions, using observable language alone.
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Reasoning Claim Tokens (RCTs)- An Observational Construct for Inspectable AI Reasoning in External Representation Governance.pdf
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