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.
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.