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Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models

Paper recorded by Signals 4 on 2026-10-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.AI · 人工智能 · first seen 2026-10-22

Abstract

Decision models map stated rules and observed states to discrete answers. Aggregate accuracy leaves unresolved which rule and information changes guide those answers. We connect controlled input changes to transfer, joint reliability, and directed information use through executable arithmetic rules. Semantic rule separation and crossed rule and state tests make transfer and joint success separatel

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#215 most recent of 960 cs.AI papers we have recorded · ↑ newer: SWE-DIVE: Multi-Turn Coding Agent Evaluation with Dynamic User Simulat · ↓ older: SP-HLM: Sparse-Pose-Driven Motion Generation and Whole-Body Control fo
Cite this page: Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models: the #215 most recent of 960 cs.AI papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/which-differences-matter-controlled-tests-of-rule-transfer-joint-reliability-and.html
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