Quark Isotopes and Subnucleonic Resonance: A Coherence-Based Framework for Nucleon Variation and Atomic Anomalies
Bibliographic record
Abstract
Notice regarding availability This record corresponds to an earlier, preliminary version of a manuscript that has since been accepted for publication in Physics Essays. In accordance with the journal’s copyright and publication policies, public access to this version has been withdrawn. The final, peer-reviewed version will appear i Physics Essays, Vol. 39, No. 1 (2026). This article proposes a conceptual extension to standard nuclear physics by introducing the notion of quark isotopes—variations in subnucleonic resonance states that arise not from new particle types, but from internal field coherence and dielectric modulation. These variations may offer explanations for a range of atomic anomalies, including unexpected shifts in charge radii, nuclear stability deviations, and isotopic spectral behavior. The model is grounded in the ilefos framework, where energetic resonance fields are primary, and nucleonic structure is shaped by dielectric containment and subfield coherence. It explores how slight energetic differences at the quark level can propagate up to observable atomic-scale effects. The paper further outlines a classification scheme for quark isotopes (Types A, B, C), visualizes field-coherent nucleon variants, and suggests how this coherence-based approach might align with or extend QCD. Potential implications include new pathways for isotope modeling, simulation of subnuclear behavior, and a reconsideration of what “elementary” means in energetic structure.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".