Dark Matter as Accumulated Informational History: A Testable Prediction for JWST

Abstract This collection outlines the Informational Manifold Framework (IMF), a theoretical proposal suggesting that physical reality is an emergent, holographic projection of an underlying informational manifold. A central hypothesis of this framework reinterprets dark matter not as a novel, collisionless particle, but as the accumulated gravitational effect of a region's quantum interaction history. This model provides a potential mechanism for the anomalous, massive "Red Monster" galaxies observed by JWST at high redshifts (z > 7), suggesting these galaxies were "born heavy" due to intense early star formation and high decoherence rates. Included Documents: A Testable Prediction for JWST: Outlines a specific, falsifiable observational test comparing the dark matter fractions of active versus quiescent high-redshift galaxies using public JWST data. The Informational Manifold Framework (Core Proposal): Details the theoretical architecture, including wave-function collapse as computational optimization and toroidal cosmic geometry. Mathematical Expressions Glossary: A supplementary compilation of the proposed mathematical relationships and their connections to established physics. Author's Note: Alongside the core proposal and predictions, I have also included several supplementary "speculation" papers in this collection. I want to be transparent that I am not a formal mathematician, nor do I claim to have definitive answers or completed mathematical derivations for these concepts. My primary goal in publishing this framework is simply to spark curiosity, invite rigorous critique, and foster open, constructive discussion within the scientific community.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-06
DOI
https://doi.org/10.5281/zenodo.19444352
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00
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article

Dark Matter as Accumulated Informational History: A Testable Prediction for JWST

Damiano Viglione
Zenodo (CERN European Organization for Nuclear Research)
Dark Matter and Cosmic Phenomena
article

Dark Matter as Accumulated Informational History: A Testable Prediction for JWST

Damiano Viglione
article en

Abstract

Abstract This collection outlines the Informational Manifold Framework (IMF), a theoretical proposal suggesting that physical reality is an emergent, holographic projection of an underlying informational manifold. A central hypothesis of this framework reinterprets dark matter not as a novel, collisionless particle, but as the accumulated gravitational effect of a region's quantum interaction history. This model provides a potential mechanism for the anomalous, massive "Red Monster" galaxies observed by JWST at high redshifts (z > 7), suggesting these galaxies were "born heavy" due to intense early star formation and high decoherence rates. Included Documents: A Testable Prediction for JWST: Outlines a specific, falsifiable observational test comparing the dark matter fractions of active versus quiescent high-redshift galaxies using public JWST data. The Informational Manifold Framework (Core Proposal): Details the theoretical architecture, including wave-function collapse as computational optimization and toroidal cosmic geometry. Mathematical Expressions Glossary: A supplementary compilation of the proposed mathematical relationships and their connections to established physics. Author's Note: Alongside the core proposal and predictions, I have also included several supplementary "speculation" papers in this collection. I want to be transparent that I am not a formal mathematician, nor do I claim to have definitive answers or completed mathematical derivations for these concepts. My primary goal in publishing this framework is simply to spark curiosity, invite rigorous critique, and foster open, constructive discussion within the scientific community.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Dark Matter and Cosmic Phenomena
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Dark Matter as Accumulated Informational History: A Testable Prediction for JWST — Damiano Viglione · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS