Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models

Abstract:Reasoning errors can propagate into later decisions and memory. This survey synthesizes 312 papers and first-party reports on text-based reasoning hallucinations around three questions: what evidence is observable, what study designs establish, and which corrective actions the evidence supports. UIPCA records unsupported premises (U), invalid inferences (I), dependent reuse (P), visible answer-trace consistency (C), and action-policy failures (A). Across 58 reviewed sources, no comparison establishes that a specified intervention improves reasoning while reducing factual reliability under matched conditions. The synthesis connects diagnosis to verification, repair, selective release, and persistent-state control across memory, tools, and training feedback.

35 pages, 8 figures, 9 tables. Electronic supplementary materials S1-S7 are included as ancillary files

Artificial Intelligence (cs.AI)

arXiv:2610.05472 [cs.AI]

(or arXiv:2610.05472v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.05472 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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