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PREreview of “Towards a Unified Cosmology: The Vortex Network as the Foundation of Space-Time, Matter and Energy”

General assessment

The manuscript proposes that spacetime, matter, gravity, dark matter, dark energy, cosmological expansion, gravitational waves, and quantum phenomena can all emerge from a vortex network.

The main problem is that the manuscript repeatedly presents speculative assumptions as established results. Terms such as “predicts,” “reproduces,” “resolves,” and “explains” are used without sufficient mathematical derivation or quantitative comparison with observations.

This is particularly concerning because the manuscript itself lists the derivation of the equations of motion, full quantization of the field, and detailed comparisons with observational data as future work. These are essential parts of the proposed theory, not minor extensions.

Major concerns

1. The relation between the network and the field is unclear

The model begins with a discrete Watts-Strogatz network but then introduces a continuous field depending on space and time. The manuscript does not explain how the continuous description emerges from the discrete network.

If spacetime is supposed to emerge from the network, assuming spatial coordinates and derivatives from the beginning creates a fundamental conceptual problem.

2. The proposed vortices are not demonstrated

The network nodes are described as vortices, but the manuscript does not demonstrate actual vortex solutions of the proposed field theory.

There is no discussion of their stability, boundary conditions, phase winding, or topological properties. The use of the word “vortex” therefore appears to be an assumption rather than a derived physical result.

3. Chirality is insufficiently defined

Chirality is used to distinguish matter from antimatter and later plays a central role in explanations of gravity, dark matter, and gravitational waves.

However, the manuscript does not sufficiently demonstrate why the chosen field states should represent matter and antimatter or how these properties follow from the dynamics.

4. Gravity and cosmology are asserted rather than derived

The manuscript introduces an emergent metric and a Friedmann-like cosmological equation but does not derive them from the underlying network dynamics.

The claim that the model resolves the Hubble tension is therefore premature. A varying Hubble parameter alone does not demonstrate a solution. The model would need to reproduce the relevant cosmological observations quantitatively.

5. The dark-matter claim is not demonstrated

The manuscript states that chirality gradients reproduce galaxy rotation curves. However, no observational rotation curves, galaxy sample, fitting procedure, uncertainties, or statistical comparison are presented.

Without direct comparison with astronomical data, this should not be described as reproduction of observed galaxy dynamics.

6. Calibration and prediction are not clearly separated

Several parameters are described as calibrated, while resulting numerical values are later presented as predictions.

A quantity obtained after parameters have been adjusted to reproduce observational values is not an independent prediction. The manuscript should clearly distinguish inputs, calibrated parameters, fitted quantities, and genuine predictions.

7. The numerical implementation raises serious concerns

The associated simulation code raises questions about whether the claimed dynamics are actually implemented.

In particular, calculated changes in the network state do not appear to be fully integrated into the subsequent evolution. There also appears to be a discrepancy between the pair-creation threshold described in the manuscript and the one implemented in the code.

Since pair creation and annihilation are central mechanisms in the proposed cosmology, these issues require clarification before the numerical results can be considered reliable.

8. Many claimed predictions remain qualitative

The manuscript discusses gravitational-wave backgrounds, CMB signatures, directional variation of the Hubble parameter, and other observational effects.

However, quantitative amplitudes, spectra, uncertainties, or statistical comparisons with data are generally absent. These should therefore be presented as possible speculative signatures rather than established predictions.

Use of generative AI

There are strong indications that generative AI played a substantial role in the preparation of the manuscript. This is explicitly acknowledged by the author, who describes DeepSeek as a “mathematical co-pilot.”

The use of AI is not itself a scientific problem. The concern is whether the resulting mathematics, simulations, and physical interpretations were independently verified.

In this manuscript, there is a recurring pattern in which technically plausible language and equations are followed by conclusions that are substantially stronger than what has actually been demonstrated. The inconsistencies between the manuscript and the associated code make independent verification particularly important.

Conclusion

In its current form, I do not consider this manuscript suitable for publication.

The central claims concerning spacetime, gravity, dark matter, dark energy, the Hubble tension, gravitational waves, CMB signatures, and quantum unification are not supported by sufficient derivations, quantitative tests, or independent comparison with observational data.

Several essential elements of the theory remain unfinished, and the numerical implementation raises additional concerns.

These are fundamental problems rather than issues that could be addressed through minor revision. The model would require substantial mathematical development, verification of the simulations, a clear separation between calibration and prediction, and quantitative testing against independent observations before its main claims could be evaluated as a publishable physical theory.

Competing interests

The authors declare that they have no competing interests.

Use of Artificial Intelligence (AI)

The authors declare that they did not use generative AI to come up with new ideas for their review.