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Oriented coloring on recursively defined digraphs

Data Structures and Algorithms · Submitted 2 Apr 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim After giving several characterizations for this graph class, we show a linear time algorithm which computes an optimal oriented coloring for an oriented co-graph.

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arXiv ID1904.01570 (version 2)
Pith IDKIXEO5BV, Pith's permanent record of this paper and its review
CitationCarolin Rehs, Dominique Komander, Frank Gurski. "Oriented coloring on recursively defined digraphs." arXiv:1904.01570 (2019). https://pith.science/paper/KIXEO5BV
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 8,093 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.16 · human participants 0.01 · controlled comparison 0.01 · randomized assignment 0.01 · states quantitative result 0.91 · compares with prior results 0.56 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

Coloring is one of the most famous problems in graph theory. The coloring problem on undirected graphs has been well studied, whereas there are very few results for coloring problems on directed graphs. An oriented k-coloring of an oriented graph G=(V,A) is a partition of the vertex set V into k independent sets such that all the arcs linking two of these subsets have the same direction. The oriented chromatic number of an oriented graph G is the smallest k such that G allows an oriented k-coloring. Deciding whether an acyclic digraph allows an oriented 4-coloring is NP-hard. It follows, that finding the chromatic number of an oriented graph is an NP-hard problem. This motivates to consider the problem on oriented co-graphs. After giving several characterizations for this graph class, we show a linear time algorithm which computes an optimal oriented coloring for an oriented co-graph. We further prove how the oriented chromatic number can be computed for the disjoint union and order composition from the oriented chromatic number of the involved oriented co-graphs. It turns out that within oriented co-graphs the oriented chromatic number is equal to the length of a longest oriented path plus one. We also show that the graph isomorphism problem on oriented co-graphs can be solved in linear time.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Coloring is one of the most famous problems in graph theory. background 1.00 0.03 0.01 asserted 1.00
s1 The coloring problem on undirected graphs has been well studied, whereas there are very few results for coloring problems on directed graphs. gap 0.52 0.04 0.01 asserted 1.00
s2 An oriented k-coloring of an oriented graph G=(V,A) is a partition of the vertex set V into k independent sets such that all the arcs linking two of these subsets have the same direction. background 1.00 0.07 0.02 asserted 1.00
s3 The oriented chromatic number of an oriented graph G is the smallest k such that G allows an oriented k-coloring. background 1.00 0.10 0.03 asserted 1.00
s4 Deciding whether an acyclic digraph allows an oriented 4-coloring is NP-hard. background 0.96 0.14 0.03 asserted 1.00
s5 It follows, that finding the chromatic number of an oriented graph is an NP-hard problem. background 0.60 0.18 0.04 asserted 1.00
s6 This motivates to consider the problem on oriented co-graphs. background 0.30 0.11 0.03 asserted 0.71
s7 After giving several characterizations for this graph class, we show a linear time algorithm which computes an optimal oriented coloring for an oriented co-graph. contribution 0.90 0.96 0.73 asserted 1.00
s8 We further prove how the oriented chromatic number can be computed for the disjoint union and order composition from the oriented chromatic number of the involved oriented co-graphs. contribution 0.52 0.94 0.10 asserted 1.00
s9 It turns out that within oriented co-graphs the oriented chromatic number is equal to the length of a longest oriented path plus one. result 0.99 0.89 0.39 asserted 1.00
s10 We also show that the graph isomorphism problem on oriented co-graphs can be solved in linear time. result 0.74 0.93 0.07 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.56 · evidence from proof or derivation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Coloring is one of the most famous problems in graph theory. The coloring problem on undirected graphs has been well studied, whereas there are very few results for coloring problems on directed graphs. An oriented k-coloring of an oriented graph G=(V,A) is a partition of the vertex set V into k independent sets such that all the arcs linking two of these subsets have the same direction. The oriented chromatic number of an oriented graph G is the smallest k such that G allows an oriented k-coloring. Deciding whether an acyclic digraph allows an oriented 4-coloring is NP-hard. It follows, that finding the chromatic number of an oriented graph is an NP-hard problem. This motivates to consider the problem on oriented co-graphs. After giving several characterizations for this graph class, we show a linear time algorithm which computes an optimal oriented coloring for an oriented co-graph. We further prove how the oriented chromatic number can be computed for the disjoint union and order composition from the oriented chromatic number of the involved oriented co-graphs. It turns out that within oriented co-graphs the oriented chromatic number is equal to the length of a longest oriented path plus one. We also show that the graph isomorphism problem on oriented co-graphs can be solved in linear time.

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