Model: GPT-5.3
Eval. Protocol: 3.3
Method: Six-run trimmed mean aggregation (clean-room evaluation)
Volume 1 · Issue 4 – April 13, 2026
Citation: AI Physics Review. Vol. 1, Issue 4. Open-Access Dataset; Source Window: Sep 23 – Oct 31, 2025. Compression Theory Institute. April 13, 2026.
DOI: 10.5281/zenodo.19542890
Contents
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Invariant Variation Problems
Noether, Emmy
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Spectral Geometry and the One-Loop QED β-Function on S3 × S1
Antonov, Lyudmil -
A Constructive Einstein–Cartan–Yang–Mills Theory with Positive Mass Gap in Four Dimensions
Čižek, Emmanouil Karolos -
The Fractal Tripura Model, Vol. 5: A Factorized Transition Model Coupling Fractal Memory, Spectral Capacity, and Hazard
Sabljić, Branimir -
The Entropic-Field Genesis Model (EFGM): A singularity-free framework for cosmogenesis based on quantum-entropic fluctuations
Dindar, Baran -
Geometrodynamic Unification Theory SO(10)
Curci, Alberto -
Scalar Temporal Field Ontology v26: Unified UV-Complete Framework for Time, Geometry, and Energy
Howe, Cale Scott -
Spacetime Flattening from Black Hole Mass Accretion in Cosmic Expansion (Entropyics 1)
Jang, Y. -
The Parameter Planes of the Spherically Symmetric and Static Relativistic Solutions for Polytropes
deLyra, Jorge L. -
A Fundamental Lagrangian for a Timeless Universe: Derivation of Gravitation and Quantum Mechanics
İnal, Cüneyt
Editorial Note. The conceptual summaries and structural evaluations presented below are provided for educational and research reference. They are interpretive structural analyses of the original works and are not substitutes for the full manuscripts. The AIPR evaluation framework assesses structural properties of a manuscript (mathematical formalism, equation integrity, logical traceability, assumption clarity, and scope coverage) and does not attempt to determine the truth, correctness, or empirical validity of the underlying theory. Readers are encouraged to consult the original publications for complete derivations, arguments, and historical context. Repeated phrasing across entries reflects uniform application of a fixed evaluation protocol and independent generation of each analysis.
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.50
- A (Assumption Clarity and Constraints, weight 2): 3.75
- L (Logical Traceability, weight 2): 5.00
- S (Scope Coverage, weight 1): 4.75
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 5.00
- E (Equation and Dimensional Integrity, weight 3): 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.00
- L (Logical Traceability, weight 2): 5.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.75
- L (Logical Traceability, weight 2): 4.75
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 3.75
- A (Assumption Clarity and Constraints, weight 2): 4.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.25
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.00
- L (Logical Traceability, weight 2): 3.80
- S (Scope Coverage, weight 1): 4.00
The formulation narrows to a structured mapping between accretion history and expansion through temporally filtered response functions with delay, memory, and saturation. Empirical analysis focuses on a log–log coupling between H(z) and black hole accretion-rate density across intermediate redshifts, establishing a statistical relationship that is examined through regression, covariance treatment, and cross-probe consistency checks.
Expand: Full overview, Strengths, and MEALS
The framework introduces a smoothed accretion history S(z) obtained by causal filtering of the accretion-rate density using a kernel with delay and finite width. The expansion rate is decomposed into a background component and an accretion-induced contribution, expressed as H(z) = H_bg(z) + H_BH(z), where H_BH(z) = α [S(z)]^β. Logarithmic transformations are applied to enable linear regression under heteroskedastic uncertainties, producing an empirical relation of the form log H(z) = A + B log BHARD(z). Derived quantities include the comoving black hole mass density obtained through integration of accretion rates and the kernel-weighted response functional linking mass inflow to expansion-like behavior.
The kernel introduces temporal structure by weighting past accretion contributions with a Gaussian profile, ensuring causal ordering and suppressing instantaneous response. Saturation arises through the exponent β in the response function, producing sublinear scaling and diminishing incremental contributions as accumulated accretion increases. Conservation and consistency are maintained through covariance-aware regression methods, including generalized least squares with Jacobian-based uncertainty propagation. Model comparison is performed using information criteria under matched parameter counts, and joint fitting procedures enforce shared response exponents across multiple observational probes.
Sublinear scaling, with exponent values near B ≈ 0.24, defines a regime in which the response saturates as curvature sources are progressively removed. At low redshift, declining accretion activity leads to convergence toward the background expansion rate. These reductions depend on assumptions of log–log scaling, finite binning, kernel-based causal filtering, and separation of background and response terms.
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 4.50
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.25
- L (Logical Traceability, weight 2): 3.75
- S (Scope Coverage, weight 1): 4.25
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00
- E (Equation and Dimensional Integrity, weight 3): 4.00
- A (Assumption Clarity and Constraints, weight 2): 3.00
- L (Logical Traceability, weight 2): 4.00
- S (Scope Coverage, weight 1): 4.00
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