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We show that a well-known family of deterministic finite automata can be usedto distinguish distinct binary strings of the same length from every startstate. Further, we establish almost matching lower and upper bounds on thenumber of states of such automata necessary to achieve this type of separation.Our result improves the currently best known linear upper bound for arbitraryDFA.

Separating Words from Every Start State with Horner Automata