Causally Redundant Reasoning: A Dual-Disruption Test Framework for Measuring Shortcut Tendencies in Chain-of-Thought

Jiwoo Kim, Jongwuk Lee


Abstract
A chain-of-thought (CoT) rationale can be coherent and answer-consistent while remaining causally unused. We call this phenomenon shortcut reasoning: the model appears to reason through CoT, but its answer does not depend on the expressed trace. We formalize shortcut reasoning as causal redundancy and propose a dual-disruption framework for measuring shortcut tendencies in CoT by testing two complementary aspects of causal explanation: necessity and sufficiency. We operationalize them as two behavioral signals: whether the answer changes under CoT disruption, and whether the answer can be recovered from the CoT after masking the original input. We instantiate this framework with CORD (Causal Redundancy of Reasoning via Disruption), an instance-level score that combines both signals. The two axes reduce complementary ambiguities in single-axis tests: answer preservation under CoT disruption can reflect shortcut use or redundant truthful reasoning, while early answer recovery can reflect shortcut use or a compact truthful rationale. Across 6 models and 2 datasets, CORD reveals a training-paradigm effect: R1-Distill models exhibit roughly twice the shortcut tendency of non-distilled models, while the two axes capture related but distinct signals. Together, these results motivate joint tests of necessity and sufficiency for detecting shortcut tendencies that can remain hidden behind correct answers.
Anthology ID:
2026.findings-emnlp.2233
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2026
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:
Findings
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
47788–47820
Language:
URL:
https://aclanthology.org/2026.findings-emnlp.2233/
DOI:
10.18653/2026.findings-emnlp.2233
Bibkey:
Cite (ACL):
Jiwoo Kim and Jongwuk Lee. 2026. Causally Redundant Reasoning: A Dual-Disruption Test Framework for Measuring Shortcut Tendencies in Chain-of-Thought. In Findings of the Association for Computational Linguistics: EMNLP 2026, pages 47788–47820, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Causally Redundant Reasoning: A Dual-Disruption Test Framework for Measuring Shortcut Tendencies in Chain-of-Thought (Kim & Lee, Findings 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.findings-emnlp.2233.pdf