Skip to content
#diffusion models Open access

Poisson Spacetime Discreteness and Unimodular Gravity: A Consistency Analysis of the TSGT Framework

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories

Abstract

Abstract Can Poisson discreteness of spacetime supply gravitational dynamics or a fluctuating cosmological term? We examine this question within the framework previously called Topological String-Gradient Theory (TSGT). We distinguish a random counting measure, its metric-dependent mean, and an independently prescribed volume form. The Poisson number-volume relation fixes neither the metric nor its dynamics; a two-potential weak-field counterexample makes this underdetermination explicit. An Einstein-Hilbert action with a prescribed volume form provides a consistent continuum completion, but its equations require a constant cosmological term when matter is separately conserved. A time-dependent term therefore needs additional dynamical structure. To make the statistical proposal precise without claiming such a completion, we analyze an explicitly assumed marked Poisson model on a fixed background. Its covariance is determined by the four-volume of overlap of the sampling regions, and its normalized diffusion limit has an exponential correlation in logarithmic volume. We also evaluate past-light-cone volumes in power-law cosmologies, exposing the geometric dependence hidden by the replacement of four-volume with the fourth power of the Hubble radius. These results yield reproducible consistency checks and a conditional statistical benchmark, rather than a new derivation of general relativity or a parameter-free dark-energy prediction. The required conservation law, backreaction, spatial perturbations, and statistical comparison with observations are specified as the remaining steps toward a testable model. About this revision This version substantially reframes the earlier TSGT manuscript as a consistency analysis. It corrects the distinction between Poisson counting and a prescribed volume constraint, the conservation condition for a cosmological term, and unsupported singularity-avoidance claims. It presents four propositions, an explicit overlap covariance, a Gaussian diffusion limit, and exact past-light-cone volumes for specified power-law cosmologies. The everpresent-Lambda motivation is attributed to the existing literature. These conditional results are not presented as a complete microscopic theory or an observational confirmation. Preparation and scope Author: Mustafa Karatum, Independent Researcher. This revision was prepared with OpenAI Codex assistance for mathematical checking, source checking, code preparation and editing, following an earlier Claude-assisted revision. AI assistance is not an independent peer review. No observational data were reanalyzed.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.