<div class="csl-bib-body">
<div class="csl-entry">Kirchweger, M., Peitl, T., Seka, D., & Szeider, S. (2026). Graph Choosability via SAT: Beyond the Nullstellensatz. In S. Koenig, C. Jenkins, & M. E. Taylor (Eds.), <i>Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence</i> (pp. 14269–14277). AAAI Press. https://doi.org/10.1609/aaai.v40i17.38441</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/231244
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dc.description.abstract
List coloring extends graph coloring by assigning each vertex a list of allowed colors. A graph is k-choosable if it can be properly colored for any choice of lists with k colors each. Deciding k-choosability is π²ₚ-complete, bipartite graphs have unbounded list chromatic number, and planar graphs (famously 4-colorable) are all 5-choosable but not all 4-choosable. To search for graphs of given choosability, we extend SAT Modulo Symmetries (SMS) with custom propagators for list coloring pruning techniques and propose a quantified Boolean (QBF) encoding for choosability. We employ a hybrid approach: pen-and-paper reasoning to optimize our formulas followed by automated case distinction by QBF solvers and SMS. Our methods yield two significant results: (1) a 27-vertex planar graph that is 4-choosable yet cannot be proven so using the combinatorial Nullstellensatz widely applied in previous work (we show this is a smallest graph with that property), and (2) the smallest graph exhibiting a gap between chromatic and list chromatic numbers for chromatic number 3.
en
dc.language.iso
en
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dc.subject
SAT
en
dc.subject
QBF
en
dc.subject
Graph Theory
en
dc.title
Graph Choosability via SAT: Beyond the Nullstellensatz
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-1-57735-906-7
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dc.relation.issn
2374-3468
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dc.description.startpage
14269
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dc.description.endpage
14277
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2159-5399
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tuw.booktitle
Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence
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tuw.container.volume
40
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tuw.peerreviewed
true
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tuw.relation.publisher
AAAI Press
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tuw.relation.publisherplace
Washington, DC, USA
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
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tuw.publication.orgunit
E056-13 - Fachbereich LogiCS
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tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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tuw.publisher.doi
10.1609/aaai.v40i17.38441
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dc.description.numberOfPages
9
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tuw.author.orcid
0000-0001-7799-1568
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tuw.author.orcid
0000-0001-8994-1656
-
tuw.editor.orcid
0000-0003-0706-1079
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tuw.event.name
The 40th Annual AAAI Conference on Artificial Intelligence
en
tuw.event.startdate
20-01-2026
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tuw.event.enddate
27-01-2026
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.country
SG
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tuw.event.presenter
Kirchweger, Markus
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.grantfulltext
none
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crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity
-
crisitem.author.dept
E192-01 - Forschungsbereich Algorithms and Complexity