Preprint Records and Access Links
[13 May 2026]
We are excited to share our new article, Self-Aware Closure of the Generative Replica Model: The Maze–Explorer–Builder–Memory Resonance.
In this work, we extend the Path Matrix Method into a self-driven process where recurrence paths, memory, observation, and structure evolve together through recursive closure. The paper introduces a scalable maze–explorer process in which revealed structures act as the maze, while concealed recurrence paths drive exploration, memory formation, and structural rebuilding.
A key idea is that self-awareness may emerge naturally from recursive observation and memory alignment rather than from externally designed symbolic logic. Using parallel explorer lanes, memory imprinting, and recursive maze rebuilding, the process remains highly scalable, fully parallelizable on GPUs, and understandable through a small set of self-consistent operations.
More broadly, the work explores how complex structures, learning, memory, and observation may arise from the same recursive generative process across physical, computational, and cognitive systems.
Read the full article here:
https://zenodo.org/records/20156677
[16 Apr 2026]
We are excited to share our new article, The Path Matrix Method: A General Closure–Feedback Protocol for the Generative Replica Model.
In this work, we introduce a simple but highly scalable way to represent observations, patterns, and physical structures using recurrence paths, pure lengths, and structural contrasts. The method treats learning and observation as a recursive closure process, allowing patterns to be generated, aligned, and refined within the same consistent system.
One important result is that modern neural networks can be understood as compressed approximations of a deeper path-based resonance process. This opens a path toward models that are not only trainable, but also structurally interpretable and generative.
Although the ideas originate from Triogenesis and the GR model, the method is intended to be broadly applicable to many kinds of observations, from mathematics and physics to computational learning and complex systems.
Read the full article here:
https://zenodo.org/records/19601577
[3 Apr 2026]
We have released a new article.
This work presents the core architecture of the Inffer Map and the Generative Replica model.
It defines a clear syntax for how patterns are constructed and linked, and how exploration can proceed in a consistent way across different domains.
The key point is that participation does not depend on long specialised training. With a shared structural understanding developed through Triogenesis and Infferus, learners can contribute directly while maintaining compatibility within the system.
The article also sets out how modelling and computation operate under this structure, and how existing neural network models can be connected together instead of remaining isolated.
Resources, effort, and learning are treated as part of the same system, allowing exploration to scale through coordinated contribution.
What limits progress is not data, but the level of our structural understanding.
Building this system therefore requires both the framework and a community capable of using it.
Read the full article here:
https://zenodo.org/records/19412072
[30 Mar 2026]
We have shared a new development in our latest article.
At first glance, the result may appear familiar, as it revisits one of the most widely studied structures in mathematics — the eigenvalue problem.
However, the perspective presented here shifts the interpretation from a procedural tool to a generative structure.
It touches a fundamental question across mathematics and physics — why do stable modes, frequencies, and invariant forms appear so consistently across different systems?
In the Triogenesis framework, previously developed in The Native Language of the Universe, structures arise through recursive alignment, propagation, and closure via Replica Tiering.
Within this process, exact mathematical forms are not constructed abstractions, but stabilised outcomes of the underlying generative system.
In this work, we show that the classical eigenvalue structure acts as a pivot point that naturally reveals a broader class of mathematical forms.
Linear, nonlinear, and calculus-based structures can be understood as consistent manifestations of the same alignment process.
Discrete finite, discrete infinite, and continuous spectra are interpreted not as fundamentally different systems, but as different observable perspectives of a single branching alignment structure, distinguished by the degree of variation concealment and revelation.
This provides a unified view in which many classical mathematical forms emerge naturally and consistently from the same generative foundation.
Read the full article here:
https://zenodo.org/records/19326193
The contents of the preprint below have been consolidated and significantly extended in the following book, which serves as a stable reference:
Chen, S. J. (2025). Native Language of the Universe. Independently published.
ISBN-13: 979-8276520841.
[5 Oct 2025]
We have shared an interesting new finding in our latest article.
At first glance, the result may appear subtle, but its implications are profound.
It seems to touch one of the most fundamental questions in mathematics and physics — are even and odd numbers truly equal in nature?
In the Triogenesis framework, which replicates the structure of our chaotic universe, the most fundamental perspective ratios are built on 1, 3, then 5, 7 (with 5 + 7 = 12), and finally 15.
The ratio between 1 and 2 does not appear at this foundational level.
Yet, in the physical world — and in musical systems — we consistently observe doubling in frequency.
Our new finding suggests that the ratio of 1 to 2 is indeed not fundamental in Triogenesis.
Instead, it emerges as a converged ratio, formed through infinite layering of more basic ratios within asymmetric recurrence processes.
This convergence can be precisely described by a newly identified constant, which we call the Doubling Constant.
Read the full article here:https://zenodo.org/records/17271077
[16 Jul 2025] We have released a new article that extends the Triogenesis framework to address a long-standing question at the root of all inquiry: what is the true relationship between the observable universe and the underlying, lawless totality from which all structure arises?
In this study, we formalize the connection through Chained Structural Alignment (CSA)—a generative mechanism that bridges physical law, time, consciousness, and historical structure to a recursive substrate defined by Triogenesis. This allows us to reframe the emergence of measurable reality as a filtered projection from a self-referential, formless whole, where coherence arises not from fixed laws but from alignment within a recursive attractor space.
This work resolves several persistent paradoxes in modern science and philosophy, including the arrow of time, the Big Bang singularity, gaps in evolutionary history, the free will versus determinism dilemma, and the apparent dualism between observer and world. It shows that these puzzles are not anomalies, but structural consequences of reference-limited projection within an inseparable generative system.
We further introduce CSA-based models as a new class of unified simulation tools—capable of representing both symbolic knowledge and empirical data in a coherent, extensible, and trainable framework. This lays the foundation for a scalable knowledge system where disciplines are no longer siloed, and discovery proceeds through recursive alignment, not fragmented inference.
This paper marks a key step toward completing the structural chains that link humanity, history, and the cosmos as facets of a single generative process.
🔗 Read the full paper here: https://zenodo.org/records/15955523
[1 Jul 2025] We have released a new article that offers a bold reinterpretation of the Fermi Paradox through the lens of the Triogenesis framework. Building on the concept of attrajection—the self-referenced projection from a chaotic generative system—we demonstrate that the emergence of life, consciousness, and coherent physical structure is not a statistical inevitability but a rare consequence of deep structural alignment with the universe’s global attractor.
This study uncovers precise and unexpectedly strong alignments between Earth’s motion relative to the Solar System barycenter, the Cosmic Microwave Background (CMB) dipole, and recurrence-based ratios predicted by Triogenesis—matching to better than one part in ten million. Such structural resonance suggests that our existence arises not from environmental happenstance, but from an extraordinarily rare topological synchrony within the generative system itself.
Two foundational implications emerge: the Inconsistency History Principle, which reveals that attempts to reconstruct deep history from present-aligned frames inevitably lead to intrinsic contradictions; and the Unsolvable Alignment Principle, which explains why the phenomena of life and consciousness transcend physical laws grounded solely in atomic or molecular behavior. These principles challenge the disciplinary boundaries between physics, biology, and cognition—and open a path toward a unified generative science.
This work calls for a transformation in how we search for exoplanets and extraterrestrial life: not just by checking environmental boxes, but by seeking structural allignment with the deeper fabric of the generative universe.
🔗 Read the full paper here https://zenodo.org/records/15778850
[2 Jun 2025] We have released a new article that advances the Triogenesis framework by explicitly linking the emergence of event horizons, bright and dark matter structures, and the deeper projection of consciousness and subconscious-like structures within the chaotic attractor network. This work highlights the fractal simulation process used to visualize persistent ripple structures in the transformed Topological Recurrence Space (TRS), and it explores how finite reference gradient angles determine the resulting attrajectories as projections in spacetime. A key result is the precise prediction of hydrogen system molecular binding energies—matching experimental data to parts in a million—demonstrating that H2-like co-recurrence structures act as stabilizing anchors in spacetime projection. This underscores the role of H2 bonding in transforming persistent attractor ripples of dark matter into stable bright matter structures. The study also refines our understanding of the cosmological constant's emergence and provides new insights into the limitations and potential of AI as a physical interface for human consciousness.
The new work tackles the fundamental question that troubles field-based descriptions of the universe (such as General Relativity and QFT): How are the structures we observe in our continuous spacetime transformed at the edge of spacetime, where continuity breaks down?
🔗 Read the full paper here: https://zenodo.org/records/15576260
[16/May/2025] We have released a new article focusing on the unified generative origin of wavefunctions, thermal statistics, Gaussian distributions, and consciousness-like fluctuations within the Triogenesis framework.
To explore more complex causal interactions, this work proposes a philosophical and methodological shift: from modeling observed phenomena to constructing generative replicas—mathematical systems that reproduce the emergent structure of the universe from first principles.
Triogenesis exemplifies such a generative replica. It is built upon a minimal foundation:
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One fundamental law: directional certainty cannot be redefined across recurrence orders;
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One generative equation: the straintity function, which governs how causal structure accumulates through bifurcating recurrence.
In this study, we extend prior work on the Planck spectrum of the CMB to more general projections from chaotic straint networks. By introducing the dual concepts of disherence and herence, we structurally explain how unresolved bifurcations project into probabilistic behavior, while recurrence closure gives rise to stable physical fields.
Most notably, the study formally defines five domains of projected fields:
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Matter-like, dark-like, subconscious-like, conscious-like, and disherent fields—each arising from structured recurrence under a selected matter-based herence reference frame.
This marks the first known instance of a closed-form generative framework in physics that structurally includes consciousness-like and subconscious-like domains—not as metaphors or emergent behavior, but as irreducible projections from the same generative laws that govern space, time, and matter.
🔗 Read the full paper here: https://zenodo.org/records/15438401
[8/May/2025] We are excited to share a major advancement in the Triogenesis framework, presenting a closed-form structural mechanism for beta decay, neutrino oscillation, and the emergence of strong–weak interactions—based entirely on topological recurrence. This work achieves a new level of predictive accuracy across nuclear and lepton phenomena, with mass predictions matching CODATA values to better than 1 part in a million.
We derive the exact muon and tau masses from cross-order recurrence structures anchored by the 15-strain frame (15SF), with no adjustable parameters. The muon mass matches CODATA to within 9.4 × 10⁻⁷ and the tau mass to within 7.7 × 10⁻⁷. We also reproduce the free neutron mass to within 2.5 × 10⁻⁸, and accurately predict neutron binding energies in Helium-4, Helium-3, and Deuterium with sub-ppm precision—entirely from closed-form straintity equations.
In this formulation, the weak interaction is not a field-mediated force but a cyclic reclassification of sealed recurrence loops, triggered by rare cyclic 102-straint synchronization events. Neutrino oscillation, beta decay, and even matter–antimatter asymmetry emerge from this same topological mechanism.
🔗 Read the full paper here: https://zenodo.org/records/15365473
[20/Apr/2025] We are excited to announce another advancement in the Triogenesis program, extending its predictive and explanatory power to general relativity and the second law of thermodynamics. In this new work, we introduce a powerful conceptual framework—the Topological Recurrence Space (TRS)—which enables the derivation of a closed-form expression for entropy growth within the Triogenesis system. TRS provides a unified, discrete formulation of relativistic and thermodynamic effects, which not only converge to Einstein’s special and general relativity under certain conditions, but also unify many previously distinct phenomena under a single principle: entropy suppression of causal connectivity.
One of the most striking implications of this unification is that a wide range of physical and cosmological phenomena—including black holes, dark matter, dark energy, the dark age CMB shell, laser-frozen atoms, the arrow of time, quantum wavefunction-like behavior, and even consciousness-like causal structures—can all be traced back to the same underlying mechanism of entropy-induced causal disconnection.
Moreover, we identify two unique straint constructs that are immune to entropy suppression, allowing causal transmission through black holes and early high-redshift epochs:
• Chiral cross-order 180-straint conduits, formalized in the closed-form expression for G, which enable gravitational interaction from black holes and dark matter;
• Synchronized 180SF (higher-order 15SF) formations via two hyperstraint photons, giving rise to the cosmic microwave background.
Using this insight, we derive the blackbody spectrum of the CMB (Planck curve) directly from recurrence geometry, achieving over 0.999989 cosine similarity—without relying on thermodynamic statistics (e.g., k_B, T) or early-universe assumptions like recombination or inflation.
This work significantly advances our understanding of Triogenetic systems, laying a strong foundation for future unification of quantum phenomena and cosmic-scale observations under a single, generative framework.
🔗 Read the full paper here: https://zenodo.org/records/15250876
[17/Apr/2025] Further clarification is added to explain the transformation process required when evaluating g(u) numerically for higher order, hyperstrainted structures. All the article has been revised with clear indication when the transformation needs to be applied.
[7/Apr/2025] We are excited to announce a major theoretical advance in the Triogenesis program: a closed-form, topological derivation of the mass–energy equivalence relation E = mc^2, rooted entirely in the recursive structure of straint interactions.
In this new paper, we show that energy and momentum are not imposed by symmetry or conservation laws, but arise from a deeper principle: the conservation of recurrence-projected straint flow (Straint Conservation Theorem). This leads to a structural version of four-momentum conservation — not as a physical assumption, but as a geometric necessity of recursive causality. Mass is interpreted as a localized loop of recursive certainty, while energy and relative motion emerge from directional asymmetries in recurrence frequency.
This extends the Triogenesis framework from the generation of space-time structure to the dynamics of motion and interaction — reframing E = mc^2 not as a relativistic postulation, but as a direct projection of straint topology.
🔗 Read it here: https://zenodo.org/records/15164907
[3/Apr/2025] We have just released a follow-up paper that demonstrates a closed-form derivation of the hydrogen atom energy spectrum directly from the Triogenesis framework.
This result not only recovers Schrödinger’s canonical solution with over 99.95% accuracy to experimental measuresments, but also predicts the values of physical constants such as k_e e and e/ℏ from first principles—quantities that are traditionally accepted as empirical.
Even more significantly, the derivation naturally incorporates gravitational contributions within the same geometric structure, surpassing the scope of the classical Schrödinger equation which considers only electrostatic potential.
🔗 Read it here: https://zenodo.org/records/15123220