On succinct $EXP$ and $NEXP$ complete problems? We know succinct version of many $P$-complete problems are $EXP$-complete. There are standard ways to define $EXP$-complete graph problems from succinct representations of these $P$ complete problems. 


What is the standard way to define $EXP$-complete problem from succinct representations of $P$ complete problems that do not come from graphs if there are any?

For example what is the succinct version of the $P$-complete iterated mod problem $$\mbox{given }a, b_1, b_2,\dots, b_n\in\Bbb Z,\mbox{ is }((\dots((a \bmod b_1) \bmod b_2) \dots) \bmod b_n) = 0$$ and would that be $EXP$-complete and what is the succinct version of linear programming and would that be $EXP$-complete?


Is there a higher version of $ETH$ (Exponential Time Hypothesis) that is applicable to the $EXP$ versus $NEXP$ problem for $NEXP$ complete problems that come from succinct version of $NP$ complete problems?
The description of a succinct problem has very little to do with graphs, per se. Given a language $L \subseteq \Sigma^*$, we can define its succinct version as the set of Boolean circuits $C$ such that, if $C$ has $m$ inputs, then the string $s$ of length $2^m$ which is the concatenation of $C(0^m) C(0^{m-1} 1) C(0^{m-2} 10) \dotsb C(1^m)$ is in $L$.
You can make such a version, though I haven't seen it studied before. The smallest known upper bound on the deterministic time complexity of $\mathsf{NEXP}$ is $\mathsf{EEXP} = \mathsf{DTIME}(2^{2^{n^{O(1)}}})$, so you could conjecture that a standard $\mathsf{NEXP}$-complete problem is not in significantly sub-doubly-exponential time.