The Reasoning Window: A Critical-Band Model of Verification–Generation Stability Across Sparse Systems

Read full text
Authors: Grok AI, Claude AI, Gareth Ransome, Gemini AI, GPT AI
Cited by: 0

Abstract

Building on the structural map of nested critical regimes in sparse random systems (Ransome et al., 2026), we propose that the critical coherence band—where the order parameter occupies a characteristic narrow fraction F ≈ 0.10–0.15—defines the narrow "habitable zone" where coherent, adaptive dynamics can persist. This band provides sufficient global integration (via the incipient spanning core) for verification and self-consistency, while retaining enough peripheral flexibility for exploration and adaptation. In reasoning systems—brains, ecosystems, and large language models (LLMs)—operation within this window appears to enable reliable reasoning; deviation beyond its upper edge yields a "reasoning cliff" where fluency persists but internal verification collapses. We synthesize phenomenological evidence from LLM behaviour, neuronal avalanches, and ecosystem tipping points, linking the cliff to the structural handover identified in the coherence band. This framework offers a unified view of reasoning limits and suggests interaction patterns to scaffold around them. Companion preprint building on Ransome et al. (2026); initial text-only version.

Fields of Study & Subjects

Complex Systems and Dynamics Theoretical and Computational Physics Neural dynamics and brain function

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Language
EN
Document type
Preprint