Evidence for a continuum limit in causal set dynamics
D. P. Rideout, R. D. Sorkin

TL;DR
This paper provides evidence that a specific causal set dynamics model, dependent on a single coupling constant, approaches a continuum limit, supported by simulations and interpretations as directed percolation or random graphs.
Contribution
It demonstrates the existence of a continuum limit in a simple, computationally accessible causal set model based on a single parameter.
Findings
Evidence of a continuum limit in the model
Model can be simulated efficiently
Connections to directed percolation and random graphs
Abstract
We find evidence for a continuum limit of a particular causal set dynamics which depends on only a single ``coupling constant'' and is easy to simulate on a computer. The model in question is a stochastic process that can also be interpreted as 1-dimensional directed percolation, or in terms of random graphs.
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