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Record W7125927140 · doi:10.5281/zenodo.18403307

Binding Energy, Critical Radii, & Information Maintenance Tax

2025· article· W7125927140 on OpenAlexaboutno aff
Kurtis Kemple

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsnot available
Fundersnot available
KeywordsSupernovaPhase spaceWhite dwarfEntropy (arrow of time)BankruptcyChandrasekhar limitQuantum chromodynamicsGravitationSeparable spaceInformation theory

Abstract

fetched live from OpenAlex

This paper proposes that binding energies across all scales—nuclear, electromagnetic, gravitational—represent ongoing thermodynamic maintenance costs against entropy, following from Landauer's principle (E = k_B T ln 2 per bit). The framework predicts force-specific "bankruptcy radii" where maintenance equals total energy: QCD confinement at ~1 fm, electromagnetic at the classical electron radius (~2.8 × 10⁻¹⁵ m), and gravitational at the Schwarzschild radius. A complexity multiplier M(η,d) = φ^{2^{d-2}} × (1-η)^{-ρ*} quantifies organizational overhead, where ρ* ≈ 3.29 is the proposed universal exponent. White dwarf trajectories toward the Chandrasekhar limit provide empirical test. We analyze the complete trajectory from stable configurations (η ~ 0.07) to collapse (η ~ 0.97), finding geometric compression increases by factor 2.2 while organizational complexity explodes by factor 2200—a 1000-fold disparity suggesting information bankruptcy drives instability. Independent analysis of the Montreal White Dwarf Database (5,519 objects) and Gaia DR3 (7,496 objects) identifies R/R_S ≈ 10³ as a discrete phase transition boundary, with anomaly-zone objects appearing systematically older than matched references (+103 Myr, p = 0.0025; +58 Myr, p < 0.0001)—consistent with accelerated entropy production upon crossing the threshold. The framework yields a quantitative prediction: Type Ia supernova energy equals the Landauer cost of reorganizing phase space information from electron to neutron degeneracy. Counting bits (ΔN ≈ 4.5 × 10⁵⁸) at shock temperature (T ~ 10⁹ K) gives E = 4.3 × 10⁴⁴ J—matching observed supernova energies. This exact correspondence, if not coincidental, validates that binding encodes maintenance costs. Additional predictions include gravitational wave memory effects from information topology reorganization, primordial black hole equilibrium at lunar mass, and quantum computing limits scaling with R_S/R. The biological efficiency ceiling at η ~ 0.1 (consistent with brain metabolism) suggests universal constraints on self-organizing systems. The interpretation—binding as thermodynamic tax—is speculative but generates falsifiable predictions across 57 orders of magnitude from particles to galaxies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.238
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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