I guess there is a non-trivial point to make here: you can use differential geometry to show that the spinfoam approach is valid. (It may not be in accord with Nature. Experiment and observation will determine that. It is mathematically sound.)
The basic idea is "the curvature lives on the bones". Bones being math jargon for D-2 dimensional creases/cuts/punctures able to carry all the geometrical information. A smooth manifold can be approximated arbitrarily closely by a piecewise flat one with the curvature concentrated on the D-2 dimensional divisions.
Thinking about 3D geometry the "bones" are one-dimensional line segments, corresponding more or less with our everyday idea of skeletal bones. But in 2D they are zero-dimensional. And in 4D the bones are 2D---like the faces in a 2-complex, or foam.
There is something to understand here and it helps to first picture triangulating a 2D surface with flat triangles. The curvature condenses to "conical singularity points" where if you tried to flatten the surface you would find either too little or too much material. If you imagine a 2D surface triangulated with identical equilateral triangles, it would be a point where more than 6 or less than 6 triangles were joined. (this is how curvature arises in CDT.)
The situation in 3D is somewhat harder to imagine, but you still can. There the analogous picture is with tetrahedra. The curvature is concentrated on 1D "bones" too many or too few come together.
The mathematical tool used to feel out curvature is the "holonomy"---namely recording what happens when you
go around a bone. In the 2D case you go around a point to detect if there is pos or neg curvature there. In the 3D case you travel along more or less any loop that goes around a 1D bone and do the same thing.
Now if you look back at the previous post, where I quoted that "page 14" passage, and think of the 3D case, you can understand the construction.
Take a 3D manifold and triangulate. The piecewise flat approximation. Now you have a web of 1D bones and all the geometry is concentrated there. Now that is not the spin network.
The spin network is in a sense "dual" to that web of bones. It is a collection of holonomy paths that explore around all the bones in an efficent manner. The spin network should be a minimal structure with enough links so that around any bone you can find a way through the network to circumnavigate that bone. And the links should be labeled with labels that record what you found out by circling every bone.
The spin network is a nexus of exploration pathways that extracts all the info from the bones. That is the 3D case.
In the 4D case it is just analogous. Triangulate (now with pentachorons instead of tets) and the bones are 2D, and the geometry lives on the bones, and the foam is the "dual" two-complex that explores, detects, records. It is hard to picture but it is the 4D analog of what the spin network does in 3D.
I am trying to help make sense of that "page 14" passage in the previous post.
This is what it means when, in post #122
https://www.physicsforums.com/showthread.php?p=3124407#post3124407 it says:
general relativity is approximated arbitrarily well by a connection theory of a flat connection on a manifold with (Regge like) defects.
What we are basically talking about, the central issue, is how spinfoam LQG can work as a generalized TQFT. And incidentally meet Barrett's "wish list" for a state sum model.
Which (it now looks increasingly likely) we can put matter on and maybe get the standard matter model.