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Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning

Paper recorded by Signals 4 on 2026-09-23 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-23 on arXiv · recorded by Signals 4 on 2026-09-24

Category: cs.AI · 人工智能 · first seen 2026-09-24

Abstract

Reordering a set of mathematical rules without changing its meaning should preserve the correct answer, but must a model's internal representations stay invariant too? We investigate this question using synthetic multi-step function-composition problems, each presented under multiple rule orderings with the same correct answer. We measure accuracy and permutation signal-to-noise ratio (SNR), which

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#4 most recent of 380 cs.AI papers we have recorded · ↑ newer: Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Ben · ↓ older: Agent-Editing World Model: Rethinking World Modeling for LLM Agents

Cite this page: Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning: the #4 most recent of 380 cs.AI papers we have recorded (as of 2026-09-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/order-invariant-answers-order-sensitive-representations-in-mathematical-reasonin.html
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