This issue presents structural evaluations of theoretical physics manuscripts under a constraint-based protocol.
Evaluations describe formal structure only, not scientific validity or correctness.
Model: GPT-5.6-SOL
Eval. Protocol: 3.33
Method: Six-run trimmed mean aggregation (clean-room evaluation)
Source Window: May 2026
Total papers discovered during month: 2398
Papers entering triage: 306
(100+ registered unique downloads)
Papers receiving full structural evaluation: 125
Papers with AIPR Structural Score ≥ 42/55: 52
Note: AIPR Structural Scores should only be interpreted in the context of the monthly evaluation cohort above. Papers published in AIPR represent only a small final subset of the larger discovery, triage, and evaluation population. Scores measure performance under AIPR’s structural audit criteria, not percentile rank, acceptance rate, probability of correctness, or scientific consensus. Direct submissions and the featured legacy paper are not included in the monthly cohort counts above.
Volume 2 · Issue 08 – September 28, 2026
Citation: AI Physics Review. Vol. 2, Issue 8. Open-Access Dataset; Source Window: May 9 – 18 2026. Compression Theory Institute. September 28, 2026.
Contents
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Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
Einstein, A.; Podolsky, B.; Rosen, N.
-
The 4πG = 1 Convention as an Entropy-Area Density Normalization
Cabrera Iglesias, Enzo -
The Principle of Informational Distinction: From Measurable Distinction to Quantum Action and Gravitational Geometry
Pérez, Jorge Marcos -
Kinematic Selection Bias, Anisotropy, and Retrograde Orbits in Long-Period Comets
Almeida Pires, Pedro *AIPR Submission -
Electron Inevitability Program, Part I: Finite-Window Response, OS-Positive Activation, and Minimal Charge Branch Extraction
Lee, Byoungwoo -
On Information and Time – A Spacelike 5D Informational Metric
Ionuțaș, Horia -
Anaxiomatic Mechanics: Deriving Classical Relations from a Pre-Axiomatic Substrate
Dick, Adam A. -
A Unified Analytical Framework for Hydrogenic Probability Distributions: From Orthogonal Polynomials to 3D Nodal Topology.
Mankame, Devdatta Meghasham -
Black Holes as Information Relay Stations: A Six-Principle Synthesis from Holography to Unitarity
Lee, Taekyung -
General Relativity as a Coarse-Grained Projection of a Fundamental τ-Phase Geometry
Masarrat, Bahman -
Quantum Sphaera Companion: A Structure-First Mathematical Unfolding
Brendecke, Marc -
A Modular Gate-and-Kernel Architecture for Early-Universe Mechanism Building
Dunn, Aric -
The Geometry of the Critical Line: A Reader’s Map
Kramarenko-Byrd, Pavel V. -
The Cosmological Constant as a Feedback Attractor (Paper I)
Salmond, Peter -
ValerieX (VXXX): A Symmetry-Based Reorganisation of Classical Buoyancy and Added-Mass Behaviour: Density-State Disequilibrium, Valerie’s Law, and the Density-State Drive
Parkyn, Nicholas
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): 4.25 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 5.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 5.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 5.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 5.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
A matched-orbit forward simulation isolates this mechanism by pairing prograde and retrograde trajectories that share the same sampled orbital and photometric parameters except for supplementary inclination. Kinematic, geographic, and photometric selection are then applied separately and jointly. The resulting construction treats the simulated selection effect as a baseline sufficient within the tested forward model to reproduce the principal catalogue anisotropies, while retaining intrinsic or dynamical contributions as possible additional mechanisms. (Secs. 3.2-3.8; Secs. 4.2-4.4; Sec. 6)
Expand: Full overview, Strengths, and MEALS
Retrograde trajectories more often combine large relative-velocity configurations with smaller geocentric distance, causing the velocity and inverse-distance factors in θ̇ to reinforce one another. Prograde trajectories more often associate increased relative velocity with larger geocentric distance, partially opposing the two factors. This geometric distinction produces different upper-tail angular-rate behavior even when the underlying orbit population is constructed symmetrically. (Secs. 2.1-2.4; Sec. 4.4)
The synthetic population contains 5,000 matched prograde-retrograde pairs. Members of each pair share perihelion distance, eccentricity, argument of perihelion ω, longitude of ascending node Ω, perihelion epoch, and photometric parameters, while inclination is replaced by its supplementary value to reverse orbital sense. Daily geocentric ephemerides are generated over a ±2-year interval around perihelion. (Secs. 3.2-3.8)
The minimal per-visit selection model combines kinematic, geographic, and photometric factors through Pdet = Pkin Pgeo Pphoto. Discovery is then subjected to tracklet-style temporal requirements rather than identified with a single successful visit. An expanded version additionally includes solar-elongation selection. (Secs. 3.2-3.8)
The kinematic mechanism acts through the covariance between relative-velocity geometry and distance. Retrograde configurations more often place favorable high-relative-speed geometry at smaller Δ, increasing peak θ̇, while prograde configurations more often incur a distance penalty when relative velocity rises. The resulting difference is therefore expressed in maxima and threshold-crossing opportunities rather than principally in mean angular rates. (Sec. 4.4)
Geographic selection acts separately on orbital orientation. Northern survey coverage produces the modeled northern concentration in argument of perihelion ω, while longitude of ascending node Ω remains compatible with isotropy in the stated catalogue and simulation results. (Secs. 2.3-2.4; Secs. 4.1-4.3)
Photometric selection mainly changes overall recovery. Solar-elongation restrictions can amplify an already established kinematic asymmetry but are not identified as an independent generator of the retrograde excess. (Secs. 4.2-4.3)
Across kinematic transition midpoints from 0.250 to 0.325 degrees per day and steepness values from 30 to 100, the combined minimal model produces retrograde discovery fractions from 52.4% to 60.5% for q > 3 AU. The corresponding q ≤ 3 AU population remains approximately symmetric. (Secs. 4.2-4.3)
The empirical catalogue analysis shows a related detectability dependence. Harder-to-detect brightness-defined strata have retrograde fractions of 58.2% and 59.6%, together with non-uniform inclination and northern ω concentrations, whereas easier-to-detect strata remain approximately isotropic. (Sec. 4.1; Tables 1, 2, 4)
The modeled asymmetry is also sensitive to the effective angular-rate recovery threshold. Improved geographic coverage or deeper photometry retains the large-perihelion retrograde excess in the stated conditional experiment, whereas improved recovery of slow apparent motion reduces the simulated excess toward symmetry. (Sec. 5; Table 14)
- M (Mathematical Formalism, weight 3): 4.40 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.80 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.50 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 3.75 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 3.75 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.50 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 3.50 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
The multi-scale construction links the phase field to a projected metric, calibrated weak-field gravity, nonlinear baryonic sourcing, and controlled quantum and astrophysical benchmarks. Version v0.19.0 extends an earlier spherical source-viability stage into an axisymmetric thin-disk benchmark for the conformal-disformal k-essence source mechanism. The disk calculations are explicitly identified as synthetic calibration diagnostics rather than real SPARC fits or observational validation. (Secs. 16.22-16.24; Sec. 17)
Expand: Full overview, Strengths, and MEALS
The quantum representation is written as ψ = √ρ e^(-iτ), with phase differences controlling interference. At larger scales, gravity is associated with gradients and metric projections of τ̄ℓ. The calibrated τ-acceleration coefficient Kτ converts the averaged field into gravitational potential through Φτ = Kττ̄ℓ. The same reconstructed and calibrated field is required to govern dynamical acceleration, lensing, and the allowed spectral-shift residuals rather than assigning independent fields to those observational channels. (Secs. 2.1-2.4; Secs. 8.1.1-8.1.5; Sec. 9)
The projected metric supplies the connection between averaged phase geometry and gravitational motion. In the weak-field limit, geodesic motion reduces to the stated Newtonian acceleration behavior, with Kτ setting the conversion between coarse-grained phase structure and measurable potential. The Observational Consistency Principle requires rotation and lensing to be generated from the same reconstructed geometry. (Secs. 8.1.1-8.1.5; Sec. 9)
Baryonic matter enters through the Baryon-to-τ Field Equation. Its nonlinear form combines a baryonic source with the scale-dependent coherence functional Cℓ[τ], schematically ∇²τ̄ℓ = Kρb + λCℓ[τ]. The source program also introduces scale-windowed baryonic sourcing and a weak-gradient or deep-regime sector intended to produce extended galactic behavior. (Sec. 10; Secs. 16.22-16.24)
Quantum interference is controlled by path-dependent differences in τ rather than by an independently introduced macroscopic gravitational field. As the averaging scale increases, microscopic phase variation is suppressed and the resulting τ̄ℓ field supplies smooth gradients used in the effective gravitational description. (Secs. 2.1-3)
The gravitational mechanism uses Φτ = Kττ̄ℓ as the calibrated potential relation. Geodesic motion in the projected metric then supplies the weak-field dynamical response. Rotation, lensing, and spectral-shift channels are constrained to arise from the same underlying reconstructed geometry under the stated multi-observable consistency requirement. (Secs. 8.1.1-9)
The baryonic source mechanism is refined at the action level through conformal-disformal matter coupling and a nonlinear k-essence sector. This replaces the earlier pure-disformal static-dust source construction, which did not generate the required nonzero spatial τ gradients for static baryonic matter. In the corrected construction, static baryons can source spatial phase gradients and the stated deep-regime outer behavior. (Secs. 10, 16.22-16.24)
The weak-field gravitational sector reduces the projected metric dynamics to the stated Newtonian acceleration law in the slow-motion regime. The calibrated potential Φτ = Kττ̄ℓ provides the corresponding bridge between coarse-grained phase geometry and the effective gravitational description. (Secs. 8.1.1-8.1.5)
Local gravitational behavior is separately tested through GR-suppression benchmarks designed to preserve the appropriate local regime while allowing different large-scale behavior. Additional controlled benchmarks address black-hole exterior recovery, redshift consistency, cosmological background proxies, and classical metric emergence. (Secs. 16.2-16.21)
The quantum side includes controlled Schrödinger and Dirac limits together with configuration-space entanglement, decoherence, and probability-weight consistency benchmarks. These are presented as internal benchmark sectors of the same phase-geometric program rather than as separate fundamental constructions. (Secs. 16.2-16.21)
- M (Mathematical Formalism, weight 3): 3.75 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.50 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.75 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.00 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 3.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.75 / 5.00
- L (Logical Traceability, weight 2): 4.50 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 3.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.75 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 5.00 / 5.00
- L (Logical Traceability, weight 2): 4.25 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 4.00 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 3.25 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.75 / 5.00
- L (Logical Traceability, weight 2): 3.25 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
Expand: Full overview, Strengths, and MEALS
- M (Mathematical Formalism, weight 3): 3.25 / 5.00
- E (Equation and Dimensional Integrity, weight 3): 4.00 / 5.00
- A (Assumption Clarity and Constraints, weight 2): 4.50 / 5.00
- L (Logical Traceability, weight 2): 3.25 / 5.00
- S (Scope Coverage, weight 1): 5.00 / 5.00
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