Smallest suffixient set maintenance in near-real-time
Data Structures and Algorithms
2026-05-01 v1
Abstract
The size of the \textit{smallest suffixient set} of positions of a string recently emerged as a new measure of string \textit{repetitiveness} -- a measure reflecting how much of repetitive content the string contains. We study how to maintain the smallest suffixient set online in near-real-time, that is with small (in our case, polyloglog) worst-case time on processing each letter. Two frameworks are considered: when the text is given letter-by-letter in either a right-to-left or left-to-right direction. Our central algorithmic tool is Weiner's suffix tree algorithm and associated algorithmic primitives for its efficient implementation.
Keywords
Cite
@article{arxiv.2604.27548,
title = {Smallest suffixient set maintenance in near-real-time},
author = {Dominik Köppl and Gregory Kucherov},
journal= {arXiv preprint arXiv:2604.27548},
year = {2026}
}
Comments
18 pages, 5 figures