I've tried to find any publications on this unsuccessfully, but maybe someone here has some ideas where to look.
Consider a directed graph $G = (V_G, A_G)$ of $N$ nodes and $M$ edges. Let $T_{N}$ denote the space of trees of up to $N$ nodes, unique up to isomorphism. Then we have $G$'s associated uniform spanning tree distribution $P_G: T_N \rightarrow [0,1], \sum_{t \in T_N} P_G(t) = 1$, which can be sampled by Wilson's algorithm.
Now consider a second graph $H = (V_H, A_H)$, again of $N$ nodes and $M$ edges, with uniform spanning tree distribution $P_H: T_N \rightarrow [0,1], \sum_{t \in T_N} P_H(t) = 1$. Then my question is, does there exists such a $H$ such that,
$\forall t \in T_N, P_G(t) = P_H(t)$
and $G \not\simeq H$. That is, is the distribution $P_G$ unique up to graph isomorphism? Or does there exist a counter-example?
Or equivalently, can any two non-isomorphic directed graphs be distinguished by their uniform spanning tree distributions given sufficient (possibly exponentially many) samples?
Thanks for any thoughts and references!
The following two graphs are a counterexample:
For these graphs, not just the distribution but the multiset of spanning trees is the same, up to isomorphism. Both have the following $8$ spanning trees: