This is perhaps tangential to your query but I am posting it in the hope that it might contain useful information. I will start with the case of distributions on a compact interval, which we can assume to be $[0,1]$. Then, as you point out, every distribution thereon is a (repeated) derivative of a continuous function but this representation is not unique. However, the level of non-uniqueness is rather mild, in fact, if we have two such representations as $D^n F=D^m G$, then we must have that $I^m F-I^n G$ is a polynomial of degree at most $m+n-1$, where $I$ is the operator which assigns to a continuous function on $[0,1]$ that primitive which vanishes at $0$. This simple fact was used by J. Sebastiao e Silva to develop an elementary approach to the theory of distributions which, I believe, answers in part your query. The basis of his approach is the following system of axioms:
The space $C[0,1]$ can be embedded into a vector space $C^{-\infty}[0,1]$ on which there is defined a linear operator $D$ which coincides with differentiation on the continuously differentiable functions;
For each $f \in C^{-\infty}[0,1]$, there are a continuous $F$ and a natural number $n$ so that $f=D^n F$;
If $F$ is a distribution with $D^n F=0$, then $F$ is a polynomial of degree at most $n-1$.
The distributions of Schwartz satisfy these conditions of course but Sebastiao e Silva showed that this system is categorical (i.e., any two models coincide in the natural sense)
and secondly that one can show directly that it has a model, using very simple facts at the level of an introductory calculus case.
He then gave a systematic introduction to the theory of distributions at this level, avoiding the use of duality theory for locally convex spaces. The one-dimensional theory can then be extended to the multivariate one using standard methods as can the case of distributions on open, rather than compact, sets. (I can supply references, if so desired).
Returning to your original query, at least partial answers in elementary terms can be given to your original request.