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KR 2026 Special track: KR in the wild
Call for Papers
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23rd International Conference on Principles of Knowledge Representation and 
Reasoning
https://kr.org/KR2026/

As a complement to the traditional KR Main Track focusing more on theoretical 
advances in KR, the KR in the Wild track aims to showcase successful 
deployments of KR formalisms in all types of application domains as well as 
recent developments in the state-of-the-art in automated reasoning systems 
which form the basis for successful deployment of declarative problem solving 
in an ever-increasing number of practical settings.

Towards these goals, the KR in the Wild Track welcomes contributions from areas 
that are sometimes considered as not core KR research. This includes (but is 
not restricted to) state-of-the-art reasoning systems and solvers developed in 
the various vibrant declarative programming communities as well as insightful 
applications of such systems. As further goals, the track aims to foster 
interactions between practical and theoretical advances, and to encourage the 
discussion of new ideas, research experiences, emerging results and open 
challenges that can inspire novel research directions and influence the future 
of KR research.

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Expected Contributions
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We invite submissions of papers on all aspects of the development, deployment, 
and evaluation of KR tools and techniques to solve application problems, 
including:
- System descriptions including the description of algorithmic techniques, 
heuristics and optimizations for established systems
- Case studies, including descriptions of the problem setting, data and tools 
used, and lessons learned
- Assessments and reports of experimental studies, rigorously assessing aspects 
such as scalability, usability, acceptance and uptake
- Benchmarks and resources that may support the assessment of KR tools, such as 
data sets, collections of problems with “solution sets”, or gold standards
- Technology standards with relationships to KR that were recently published or 
are at an advanced stage of development that is already accessible to the 
public.

In each case, the significance of the contribution “in the wild” will be an 
important evaluation criterion. Therefore, current active usage, user interest, 
or relevance to communities of researchers or practitioners should be 
documented.

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Important Dates
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The deadlines are AoE – Anywhere on Earth (UTC-12).

Submission of title and abstract: February 8, 2026
Paper submission deadline: February 13, 2026
Author response period: March 24-28, 2026
Notification of acceptance: April 13, 2026
Camera-ready due: May 3, 2026
Conference dates: July 20-23, 2026

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Submission Guidelines and Evaluation Criteria
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Similarly as for the KR 2026 Main Track, submissions should be anonymous and 
will be subject to double-anonymous peer review. However, when relevant to the 
claimed significance, authors in the KR in the Wild track are allowed to name 
the specific software, application, or artefact that they are reporting on, and 
they can claim to be (among) the creators of that contribution.

Contributions may be regular papers (up to 9 pages) or short papers (up to 4 
pages), including abstract, figures, and appendices (if any) but excluding 
references and acknowledgements. Details on the submission process and 
formatting instructions are provided on the KR 2026 website:
https://kr.org/KR2026/

Submissions will be rigorously peer reviewed by PC members on the basis of the 
overall quality of their technical contribution, with special attention to the 
suitability of submissions in terms of the scope of the KR in the Wild Track. 
Due to the applied nature of the KR In the Wild Track, authors are recommended 
to make, as applicable, any relevant data and implementation code available to 
allow other researchers to reproduce the reported results.

Accepted papers will be published in the KR 2026 proceedings. At least one 
author of each accepted paper is required to participate in the conference and 
present the work.

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Selection Process
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The submissions will be selected based on the excellent scientific quality, 
potential impact, correctness, novelty, originality, significance of results, 
clarity, and quality of the presentation.
Additionally, track-relevant criteria will be considered. This includes the 
impact and novelty of the application setting or system presented; quality of 
empirical evaluation; and availability of resources (data, benchmarks, 
implementation, etc).

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Inquiries
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Inquiries should be sent by email to [email protected] and will be 
handled by the KR in the Wild Track chairs:

Markus Krötzsch, TU Dresden
Alexandra Russo, Imperial College London
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