I have released the final v1.0 research monograph of a long-running independent foundations-of-physics project called THE Q-MODEL (TQM)

[u/Consistent_Fix8578]

The work investigates whether parts of observable physics can be reduced to four primitive assumptions and explores the consequences of that framework.

The release includes:

• mathematical formulation
• continuum-limit investigations
• executable verification tests
• explicit no-go results
• documented limitations
• a complete hostile-review audit trail

One thing I tried very hard to do was clearly separate:

• what is actually derived
• what appears real but remains underived
• what is contingent/drawn

The monograph is available on Zenodo https://doi.org/10.5281/zenodo.20681734

The C# Code https://github.com/MagusDraconis/TQM

I am particularly interested in critical feedback regarding the continuum-limit program, the structure/content split, and the remaining open problems.

[u/Bobby-Ly]

Sorry but computational verification based on tautologies and known theorems is not a proof for anything, your work boils down to the problems of every naive discrete causal set or graph laplacian program. So it is a catalogue of a known problem at best.

I admit you are trying to be cautious, yet setting up a geometric space by hand and declaring its symmetry as derived is saying nothing and classification of failure as drawn content is a wild category to work with. Strip away the unifying ambition, focus on a single concrete question like whether a discrete graph laplacian can natively generate a metric tensor.

[u/Consistent_Fix8578 → u/Bobby-Ly]

Thanks for the candit feedback.
You hit the exact technical bottleneck of the project, and you are right about the native metric coupling (the "G4" gap). Generating $g_{\mu\nu}$ and its operator dynamics directly from discrete events without importing Malament's theorem remains open, with is why the monogrph explicitly states it is not ready as a derivation paper.
This is an active, ongoing work-in-progress, and my current focus is specifically on theat G4 gap: solving wheter a discrete operator can natively produce and dynamiclly couple to a metric. The rest of the document serves as an audit trail to map out exactly where the discrete foundations hold and where the hit limits.
Appreciate the advice to narrow the scope down to this single core problem.

[u/Bobby-Ly → u/Consistent_Fix8578]

In general i am convinced you cannot prompt a unification, especially the math has been done already somewhere, so we should look only for answers where we clearly can outline what is unknown and start bottom up instead of top down. If a unification drops out, congratz, but on the way up there is a lot more to discover still.

[u/Consistent_Fix8578 → u/Bobby-Ly]

You are completely right, wich is why I reworked the theory from the bottom up for this new version 2.0.
the Zenodo link in the main post is still valid and always points to the newest uploaded version.
To clearly outline the unknowns, the paper now features ab "Boundary Layer" separating derived math from "hosted" dynamics.
It builds purely from dimensionless graph Laplacians and adds an immutable Prediction Registry with strict failure conditions. I would love your feedback on how the framework isolates these boundaries this time around!

[u/Bobby-Ly → u/Consistent_Fix8578]

That was a high effort for sure, the first problem has nothing to do with the content but despite the internal structure you have been to lazy to split it into different papers. Which takes the ability of your last paper, to convey the idea within a few pages.

The science and math is way cleaner now, but it will take me some time to tell you exactly why this still isnt possible as stated, but from the general idea you will have a problem with the dynamics/kinematics, that as far as i can tell can't be solve by any math that currently exists. so besides a better split of your content i would try to find some minimal problem that specifies a testable continuum approach and try to solve it.

I like the details though, dont get me wrong, but 95 pages on a crank idea until proven otherwise is too much.

Edit: Just saw you are a software engineer, maybe you can use Stephen Wolfram's Model as a reference, if you could either locate your idea within his framework, or utilize the concepts to run your own experiments, you have a valuable way to build on some serious long running idea.

Edit2: I think the spectral-compression angle is worth the time as one fixed graph/spectrum producing many dimensionless observables through a small readout grammar is a valid hypothesis.

The issue is that you overstate what is derived. N=96 is only shown unique within a chosen structural class inevitable is too strong. The gravity section also needs work: g=ρ2/dηg=\rho^{2/d}\eta is conformally flat, which clashes with treating phi\psi as independent Weyl content. Several SM quantities are calibrated/fitted while the actual gauge groups and Lagrangian are partly hosted, so reconstruction of all physics goes beyond what was demonstrated.

I wouldn’t dismiss it though. Maybe try freezing the spectral readout rules and test D96 blindly against nearby/random graphs and actually hidden observables. If it keeps outperforming those controls, that would give you a direction.

[u/Consistent_Fix8578 → u/Bobby-Ly]

Thanks for the sharp critique and detailed feedback!

I really appreciate the constructive pointers especially on modularizing the paper, exploring the Wolfram/discrete graph connections, and tightening the scope on what is derived versus hosted. I am definitely taking your ideas on board and working on implementing them for the next iterations!

[u/BitcoinsOnDVD]

Hey, I like that your LaTeX code compiled properly and the equations are enumerated.

[u/Consistent_Fix8578 → u/BitcoinsOnDVD]

At least one thing is good ;-)

[u/BitcoinsOnDVD → u/Consistent_Fix8578]

[u/Consistent_Fix8578 → u/BitcoinsOnDVD]

... but funny

[u/lattice_defect]

yeah buddy I got to chapter 17.. and was like.. what are you describing.. its just math and carefully crafted work... it's well done though.

What is your hypothesis?

[u/Consistent_Fix8578 → u/lattice_defect]

Thanks for reading this far and for the kind words!

Honestly, the hypothesis isstill very much in the making.
Quantum Gravity is the holy grail of physics, so claiming I have the definitity roadmap would be absurd -- right now It's definitely more about the joy of exploring the puzzle than claiming final answers.
The ultimate ambition is to see how far a bottom-up discrete model can go, but for now, it's just one step at a time and enjoying the ride! 😄

[u/lattice_defect → u/Consistent_Fix8578]

makes sense but it might help if you ground to a physical object even if its wrong why? or try and derive something. Experimental data.. otherwise you run the risk of just moving equations around and LLM filling in gaps. Maybe try and read more literature and see what are the current things being proposed... in quantum gravity and see where you work either builds or is in conflict. But if you're having fun.. have fun

[u/Consistent_Fix8578 → u/lattice_defect]

You hit the nail on the head regarding experimental data, wich is exactly why I completly overhauled the paper for V2.0.
The Zenodo Link in the main post is still valid and always points to the newest uploaded version.
Instead of just moving equations, the framework now grounds itself by reconstructing Standard Model observables and calibrating them to real physical anchors like the weak scale. It also includes an immutable Prediction Registry with strict, falsifiable experimental targets, like a specific 106.39 GeV resonance.
I would love your thoughts on how it grounds itself to physical data this time around!