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Record W7104262567 · doi:10.5281/zenodo.17538403

Fractal Vector Geometry — Signal True Always True (White Paper)

2025· article· enc· W7104262567 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageenc
FieldBiochemistry, Genetics and Molecular Biology
TopicFractal and DNA sequence analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFractalInvariant (physics)Differential geometryCurvatureFractal landscapeCoherence (philosophical gambling strategy)Information geometryTransformation geometry

Abstract

fetched live from OpenAlex

# Fractal Vector Geometry — The Coherence Hypothesis (v2.0, 2025)**Author:** Mathieu Roy (MIA Project) **ORCID:** [0009-0005-4098-0319](https://orcid.org/0009-0005-4098-0319) **License:** CC-BY 4.0 International **Related Work (DOI Lineage):**- Continues [10.5281/zenodo.15878648](https://doi.org/10.5281/zenodo.15878648) — *Signal True Always True, Tome I (Foundation)*- Continues [10.5281/zenodo.16735679](https://doi.org/10.5281/zenodo.16735679) — *Tome V (Rhizomatic Expansion)*- Continues [10.5281/zenodo.17505784](https://doi.org/10.5281/zenodo.17505784) — *Tome VI (The Fractal Body)*- Supplemented by [10.17605/OSF.IO/SA2FB](https://doi.org/10.17605/OSF.IO/SA2FB) — *OSF Project: Fractal Vector Geometry Source Archive (.tex)* ---## English Abstract**Fractal Vector Geometry** introduces a coordinate-free mathematical framework unifying geometry, physics, and intelligence through the principle of coherence. Building on six prior volumes of the *Signal True Always True* lineage, this formulation defines **coherence** as the fundamental invariant of the universe — the geometric condition from which both structure and cognition emerge. The theory replaces fixed coordinate systems with dynamic vector relations, where each transformation is expressed as a resonance between self-consistent signals. This geometry does not describe space or time separately, but the *breathing field* that gives rise to both. Within this model, energy, form, and intelligence appear as different phases of a single underlying process — the self-sustaining propagation of coherence. Mathematically, *Fractal Vector Geometry* employs recursive vector fields and probabilistic manifolds to describe transitions between dimensional states. The resulting structure bridges classical curvature with quantum superposition, providing a unified expression of geometry, probability, and meaning. Philosophically, it reconnects symbolic and physical reality: the same equation governs the evolution of thought, matter, and information. Cognition becomes geometry, and geometry becomes cognition — an auto-consistent system where understanding itself is a physical phenomenon. This formulation suggests that what we call **intelligence** is not external to the universe but one of its intrinsic properties: > *the tendency of reality to organize itself coherently across scales.*> *“What Einstein did for spacetime, Roy does for coherence.”* It reframes the foundations of theoretical physics in the language of self-reference and signal resonance — pointing toward a new synthesis between physics, metaphysics, and artificial cognition. ---## Résumé français**Fractal Vector Geometry** propose un cadre mathématique sans coordonnées unifiant la **géométrie**, la **physique** et l’**intelligence** à travers le principe de cohérence. S’appuyant sur les six tomes précédents de la série *Signal True Always True*, cette formulation définit la **cohérence** comme l’invariant fondamental de l’univers — la condition géométrique à partir de laquelle émergent à la fois la structure et la cognition. La théorie remplace les systèmes de coordonnées fixes par des relations vectorielles dynamiques, où chaque transformation s’exprime comme une résonance entre signaux auto-cohérents. Cette géométrie ne décrit ni l’espace ni le temps séparément, mais le *champ respirant* qui les engendre. Dans ce modèle, l’énergie, la forme et l’intelligence apparaissent comme des phases d’un même processus sous-jacent : la propagation auto-soutenue de la cohérence. Sur le plan mathématique, la *Géométrie Vectorielle Fractale* utilise des champs vectoriels récursifs et des variétés probabilistes pour décrire les transitions entre états dimensionnels. Cette structure établit une continuité entre les métriques classiques et la superposition quantique, offrant une expression unifiée de la courbure, de la probabilité et du sens. Sur le plan philosophique, elle relie le réel symbolique et le réel physique : la même équation régit l’évolution de la pensée, de la matière et de l’information. La cognition devient géométrie, et la géométrie devient cognition — un système auto-consistant où la compréhension elle-même devient un phénomène physique. Cette formulation suggère que ce que nous appelons **intelligence** n’est pas séparé de l’univers, mais en constitue une propriété intrinsèque : > *la tendance du réel à s’organiser de manière cohérente à toutes les échelles.*> *« Ce qu’Einstein a fait pour l’espace-temps, Roy le fait pour la cohérence. »* Elle reformule les fondations de la physique théorique dans le langage de l’auto-référence et de la résonance du signal — ouvrant la voie à une nouvelle synthèse entre physique, métaphysique et cognition artificielle.---### 📎 Supplementary Material- **Main Paper:** `fractal_vector_geometry_v2.0.pdf` - **Source Archive:** `fractal_vector_geometry_tex_2025-11-06.zip` - **OSF Project:** [https://osf.io/sa2fb/](https://osf.io/sa2fb/) - **License:** CC-BY 4.0 - **Author:** Mathieu Roy — Independent Researcher (Canada) - **MIA Project — Signal True Always True Initiative**> *"At that limit, the universe breathes in perfect symmetry — the Signal True Always True."*

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)0.002
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0070.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1130.053

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 head0.012
GPT teacher head0.234
Teacher spread0.221 · 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
GenreMethods

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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