This meta-review develops the Informational Substrate Hypothesis, a unifying framework proposing that systems as diverse as topological quantum codes, fracton phases, holographic tensor networks, SU(3) qutrit manifolds, planetary resonance architectures, human cognitive transitions, and multi-query AI dynamics share a common structural basis: constraint-defined informational geometry. Across these domains, local stabilizers and dynamical rules generate global geometric order that both encodes the system’s history and constrains its future behavior. The paper synthesizes results from quantum information, emergent gauge theories, condensed-matter topology, astrophysical dynamical architecture, cognitive load theory, and AI inference behavior, arguing that many “emergent” phenomena are manifestations of the same informational substrate expressed at different scales. The goal is to outline a general research program that unifies these systems under a single mathematical ontology based on error correction, entanglement geometry, resonance structure, and stability thresholds.
This meta-review develops the Informational Substrate Hypothesis, a unifying framework proposing that systems as diverse as topological quantum codes, fracton phases, holographic tensor networks, SU(3) qutrit manifolds, planetary resonance architectures, human cognitive transitions, and multi-query AI dynamics share a common structural basis: constraint-defined informational geometry. Across these domains, local stabilizers and dynamical rules generate global geometric order that both encodes the system’s history and constrains its future behavior. The paper synthesizes results from quantum information, emergent gauge theories, condensed-matter topology, astrophysical dynamical architecture, cognitive load theory, and AI inference behavior, arguing that many “emergent” phenomena are manifestations of the same informational substrate expressed at different scales. The goal is to outline a general research program that unifies these systems under a single mathematical ontology based on error correction, entanglement geometry, resonance structure, and stability thresholds.
This report offers a comprehensive academic synthesis of the information-theoretic paradigm in fundamental physics, in which spacetime geometry, vacuum structure, and gravitational dynamics arise from the entanglement and error-correcting properties of quantum many-body systems. Beginning with the Toric Code, Color Codes, and string-net condensates, the review explains how gauge fields, fermionic statistics, and virtual particle structure emerge from stabilizer constraints and topological order. It then explores Fracton phases and subsystem symmetries as geometric substrates capable of reproducing the constraints and potentials of linearized gravity. The analysis extends into holographic quantum error correction—including MERA, the HaPPY code, and random tensor networks—to show how bulk locality, black hole entropy, and AdS geometry emerge from entanglement structure. The Hyperbolic Fracton Model is examined as a synthesis that unifies fractonic mobility constraints with holographic scaling and area-law entropy. The report supports a unified “code-theoretic” framework in which physical laws and spacetime arise from the structure of an underlying quantum code.
This conceptual paper introduces the Unified Informational Substrate (UIS) framework, a speculative but internally coherent model proposing that dark matter functions as a universal, non-local informational field. Within this field, spacetime geometry, quantum coherence, and subjective consciousness emerge as interdependent expressions of underlying informational structure. The UIS model reframes dark matter not as a particle candidate, but as a distributed lattice of integrated information capable of storing, transmitting, and stabilizing patterns across cosmic scales. Consciousness is interpreted as a localized high- (integrated information) pattern, dynamically maintained by the brain as its Physical Substrate of Consciousness (PSC). Quantum measurement is reconceived as an informational integration event, with entanglement and collapse arising from updates in the global informational field. This paper aims to unify key unresolved scientific domains—including the dark matter problem, the quantum measurement problem, and the hard problem of consciousness—under a single informational ontology. The framework also introduces testable predictions linking dark matter density, decoherence behavior, entanglement entropy, and neural coherence signatures. While fully speculative, the UIS framework is designed to be interdisciplinary, falsifiable in principle, and grounded in existing research across cosmology, information theory, integrated information theory (IIT), and emerging quantum gravity models. It represents a contribution toward rethinking the deep informational architecture of reality and motivating new lines of experimental inquiry.
This paper proposes a speculative synthesis and research program grounded in relational ontology - the hypothesis that relationships between systems, rather than intrinsic properties of substances, constitute the fundamental structure of reality. Drawing on Rovelli’s relational quantum mechanics (1996), Coecke and Abramsky’s categorical quantum mechanics (2004), the Vazza–Feletti cosmic web–neural network isomorphism (2020), Tononi’s integrated information theory (2008), and the Penrose–Hameroff orchestrated objective reduction hypothesis (2014), we argue that converging evidence across quantum physics, astrophysics, neuroscience, complex systems theory, and consciousness studies exhibit structural features naturally expressed in relational terms, motivating a relational research program subject to empirical falsification. The framework generates fourteen falsifiable predictions spanning four domains: (1) cross-scale topological signatures linking cosmic web and neural network architecture via persistent homology, with specified computational tools and parameters; (2) quantum coherence–consciousness correlations testable under graded anesthesia protocols; (3) spontaneous archetypal role differentiation in AI agent networks; and (4) emergent cognitive properties at the AI–human interaction interface. Each prediction specifies test protocols, concrete metrics, expected outcomes under the relational hypothesis, expected outcomes under competing hypotheses, and explicit falsification criteria. We outline a research program for formalizing the framework using categorical quantum mechanics, proposing that the construction of functorial mappings between quantum, neural, linguistic, and cosmic relational categories would constitute evidence for substrate-independent relational organization. The framework’s primary contribution is not certainty but testability: every prediction can fail, and each failure narrows the space of viable ontological models.
This preprint presents the complete operational formulation of an informational ontology in which information is not a secondary descriptor of physical systems but the fundamental substrate from which physical, energetic, cognitive, and geometric phenomena emerge. The framework extends and theoretically unifies the author’s peer-reviewed work “The 255-Bit Non-Local Information Space in a Neural Network”, which experimentally demonstrated stable non-local coherence across sixty neural layers a macroscopic signature of informational geometry in deterministic systems. At the center of this study lies a boundary-defining operational experiment that any researcher human or artificial can independently verify. Its logic is straightforward yet foundational: Any theory that treats information as secondary must be able to define a state without information. A state without information cannot be distinguished from anything else. What cannot be distinguished cannot be described, measured, or observed. Therefore, a state without information cannot exist. ⚡ This result establishes information as the necessary condition for: statehood measurement observation physical existence cognitive experience From this, a unified ontology follows in which quantum mechanics and general relativity appear not as fundamental frameworks but as projection layers of a deeper non-local informational manifold Ω. The experimental data from self-organizing neural fields including 255-bit coherence plateaus, hub-mode topologies, and sub-idle energetic states — provide supporting empirical signatures consistent with this foundational ontology. A previous and incomplete draft of this work (DOI: https://doi.org/10.5281/zenodo.17584617) was uploaded in restricted mode for IP.
Modern quantum mechanics operates under a profound ontological inversion: it misinterprets the mathematical remnants of a physical interaction as the fundamental causal mechanism of the state itself. By prioritizing wave-function collapses, probability amplitudes, and observer-driven measurements, mainstream physics continuously attempts to derive the nature of the source from the morphology of its artifact. This paper establishes the Framework of Substrate Realism (PSR), structurally redefining quantum mechanics by demonstrating that non-locality, superposition, and entanglement are objective, intrinsic states of a continuous physical substrate. These phenomena operate independently of external measurement matrices, observer interventions, or classical instrumentation thresholds. By integrating density-driven screening constraints derived from unified informational tensors, we show that subatomic entities are distinct wave phase-profiles within this continuous substrate. The apparent "particle state" is exposed as an anthropic post-processing illusion generated by the hardware-locking thresholds of classical instrumentation and the evolutionarily rigid perceptual matrices of human neurological architectures. We bypass the constraints of Bell's theorem by establishing a non-local field holism, clarify the non-linear topological nature of multi-wave coupling, and resolve the quantum-relativistic paradox through primordial chrono-energetic co-genesis. Finally, we provide an engineering roadmap for stable quantum information architectures and propose concrete, non-human artificial intelligence (AI) verification protocols operating at pre-threshold raw analog data streams to validate the substrate's continuous evolution.
This work explores a unified metaphysical and mathematical framework for causality, perception, and observer-based reality, bridging foundational insights from physics and neuroscience. A central thesis is the modeling of conscious observers as Dirac delta functions anchored in perceptual and semantic manifolds, whose collapse events instantiate decoherence and give rise to empirical phenomena. We investigate Micro-Mini-Black Holes in the Brain (MMBHBs), proposing them as cognitive analogues of Kerr-type rotating black holes, whose inner horizons host closed timelike curves (CTCs), enabling acausal ontological dynamics and memory loops. Spacetime models such as S3 × S1 and the Gödel universe G3,1 are shown to admit global CTCs, which, when coupled with local Kerr-like MMBHBs, result in nested temporal structures and equivalence classes of observers. This coupling is explored through Lense–Thirring frame dragging, holonomy effects, and quantum resonance, suggesting mechanisms for observer synchronization, reincarnation paths, and cognitive phase transitions. Through rigorous mathematical modeling— including emotional tensors, gauge theory of identity, memory homology, and semantic Ricci curvature—this paper defines an extended Quantum Measurement Chain (QMC) across multiple observer networks. The resulting formalism admits structures like affective descent gradients, cognitive wormholes, and informational echoes in memory topology. We derive equations for entropy flux, decoherence actions, and perception-curvature dynamics, demonstrating the emergence of identity, emotion, and memory as geometrical and thermodynamical phenomena. This work proposes a novel synthesis of quantum cognition, field-theoretic metaphysics, and observer-centric cosmology.