Publications
Where TRPG is published, and how to cite it. All copies hold the same documents; this site is the home page that links them together.
| Where | What it is | Link |
|---|---|---|
| GitHub (code, data, documents) | Every script, the data and the documents, with full history. | Coming soon |
| Zenodo: code DOI | A permanent, citable copy of each GitHub release. | Coming soon |
| Zenodo: paper DOI | The paper and full record as a citable preprint. | Coming soon |
| The authors' researcher IDs (ORCID) | The researcher IDs of both authors, linking all of the above. | Coming soon |
| ai.viXra (preprint) | Open preprint archive for AI-assisted papers. | Coming soon |
| arXiv (preprint) | The main physics preprint server, if an endorser is found. | Coming soon |
| Journal article | After peer review. | Coming soon |
How to cite
Matthew Gelfman and Melissa Gelfman (2026). Dynamic Relational Transitioning Geometry (TRPG): a relational, entanglement-based framework that reproduces known physics and predicts the neutrino masses. https://trpgphysics.org