Time-bounded Kolmogorov complexity measures a string by the length of its shortest program that prints it within a deadline. An adjunction-universal machine (Bauwens, Kozachinskiy, and Shen, arXiv, 2025) is a Turing machine that simulates every Turing machine $M$ on every input $z$ with polynomial overhead when given a code of $M$, computable from $M$ in polynomial time, followed by $z$ unchanged. Any two adjunction-universal machines give the same measure up to an additive constant and a polynomial change of the deadline. However, this measure records only the shortest program for a string. We study all programs of one length that print a string within one deadline, join two of them when they differ in one bit, and ask when this graph is connected. Fix any adjunction-universal machine. For almost all $m$-bit strings and every deadline beyond some polynomial, the graph is disconnected at program length $m+O(1)$ and has at least $2^{m-O(1)}$ components at length $2m+3$. In contrast, we build an adjunction-universal machine in which every such graph is connected or empty, at every deadline, once the program length reaches a computable threshold that is at most exponential in the length of the string. Exponential thresholds are unavoidable: for every adjunction-universal machine with such thresholds and every large $m$, more than three quarters of the $m$-bit strings need a threshold exponential in $m$. For our machine, above the threshold, every program for the string is within three bit flips of a connected set of fastest programs for the string, along a path inside the graph, at every deadline by which that program halts. For this machine, deciding whether two given programs are connected in this graph is $\mathsf{PSPACE}$-complete when the input is the string, the deadline in unary and the two programs; for each fixed string it takes polynomial time.

翻译：暂无翻译