Toss a handful of sand onto a table. Each grain lies separately, but together they form a surface you can run your finger across. That's roughly how spacetime works in causal set theory: it isn't continuous but consists of point-events linked only by causality — what influenced what.
The authors studied how a signal (say, a flash of light) spreads in such a granular world. Instead of the familiar waves on a smooth fabric, they used the connectivity matrix between points (essentially a table marking which points influence each other). It turned out that the averaged massless signal is naturally described by the exponential of this matrix — much like compound interest on a deposit, where interest is earned on the accumulated sum.
Then the physicists complicated things: they gave the signal mass. It's as if the sand grains became sticky and the signal slowed down a bit. Using a standard technique — the scattering series (multiple collisions with the 'stickiness')—they again averaged the result and compared it with what ordinary physics gives in smooth spacetime. The match was excellent.
Finally, the authors look a bit further: if the exponential of the connectivity matrix gives signal propagation, then the inverse exponential could replace the wave equation in the discrete world. It's like replacing a smooth drumhead with a mesh of beads, and finding that the sound is still clear.
In causal set theory, spacetime consists of discrete points, and their number in a volume the size of an atom can reach $10^{40}$—more than the grains of sand on all the beaches on Earth.
In Greg Egan's novel Schild's Ladder, physicists explore a vacuum with its own microscopic structure, where familiar laws emerge as averages of deeper rules — similar to averaging a signal in a causal set.