,
Hsien-Chih Chang
,
Jonathan Conroy
,
Arnold Filtser
,
Eunjin Oh
,
Nicole Wein
,
Da Wei Zheng
Creative Commons Attribution 4.0 International license
Given a weighted digraph G, a (t,g,μ)-DAG cover is a collection of g dominating DAGs D_1,… ,D_g such that all distances are approximately preserved: for every pair (u,v) of vertices, min_id_{D_i}(u,v) ≤ t⋅ d_G(u,v), and the total number of non-G edges is bounded by |(∪_i D_i)⧵ G| ≤ μ. Assadi, Hoppenworth, and Wein [STOC 25] and Filtser [SODA 26] studied DAG covers for general digraphs. This paper initiates the study of Steiner DAG cover, where the DAGs are allowed to contain Steiner points.
We obtain Steiner DAG covers on the important classes of planar digraphs and low-treewidth digraphs. Specifically, we show that any digraph with treewidth tw admits a (1,2,Õ(n⋅tw))-Steiner DAG cover. For planar digraphs we provide a (1+ε,2,Õ_ε(n))-Steiner DAG cover.
We also demonstrate a stark difference between Steiner and non-Steiner DAG covers. As a lower bound, we show that any non-Steiner DAG cover for graphs with treewidth 1 with stretch t < 2 and sub-quadratic number of extra edges requires Ω(log n) DAGs.
@InProceedings{bhore_et_al:LIPIcs.ESA.2026.94,
author = {Bhore, Sujoy and Chang, Hsien-Chih and Conroy, Jonathan and Filtser, Arnold and Oh, Eunjin and Wein, Nicole and Zheng, Da Wei},
title = {{DAG Covers for Structured Graphs: The Steiner Point Effect}},
booktitle = {34th Annual European Symposium on Algorithms (ESA 2026)},
pages = {94:1--94:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-445-1},
ISSN = {1868-8969},
year = {2026},
volume = {388},
editor = {Bille, Philip and Pettie, Seth and Storandt, Sabine},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2026.94},
URN = {urn:nbn:de:0030-drops-272306},
doi = {10.4230/LIPIcs.ESA.2026.94},
annote = {Keywords: Directed graphs, DAG (directed acyclic graphs), distortion, metric embeddings, planar graph, treewidth}
}