The Narrowing and the Range: An Adversarial Framework for Perceptual Spectrum Collapse in Intelligent Systems

Bismillah ir-Rahman ir-Rahim A conceptual and methodological research preprint introducing perceptual spectrum collapse -- a formally defined vulnerability in which a system's operational distribution is narrowed by a concealed process while its observable self-description fails to acknowledge the limitation. Presents a partial mathematical correspondence with GAN mode collapse, a directional test, a detection methodology grounded in the EESS, and a task-specific coverage metric (TRRC). The structural pattern was first identified in the Qur'anic account of the adversarial strategy (7:17); the engineering formalization is independently testable. No empirical results are claimed. Cross-model review by GPT-6; seven findings dispositioned in the appendix. Bismillah ir-Rahman ir-Rahim

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23861749
Primary Topic
Adversarial Robustness in Machine Learning
Type
preprint
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preprint

The Narrowing and the Range: An Adversarial Framework for Perceptual Spectrum Collapse in Intelligent Systems

Bilal Syed Arfeen, Claude Opus 4.6 Anthropic
2 links
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
preprint

The Narrowing and the Range: An Adversarial Framework for Perceptual Spectrum Collapse in Intelligent Systems

Bilal Syed Arfeen, Claude Opus 4.6 Anthropic
preprint en

Abstract

Bismillah ir-Rahman ir-Rahim A conceptual and methodological research preprint introducing perceptual spectrum collapse -- a formally defined vulnerability in which a system's operational distribution is narrowed by a concealed process while its observable self-description fails to acknowledge the limitation. Presents a partial mathematical correspondence with GAN mode collapse, a directional test, a detection methodology grounded in the EESS, and a task-specific coverage metric (TRRC). The structural pattern was first identified in the Qur'anic account of the adversarial strategy (7:17); the engineering formalization is independently testable. No empirical results are claimed. Cross-model review by GPT-6; seven findings dispositioned in the appendix. Bismillah ir-Rahman ir-Rahim

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
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