Paper Citation Record · LEDGER

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.11414.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.11414 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy8
unresolved25
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External citation measurements

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Outbound references

Observation 740e22e8-26a5-468d-94c4-ab631b88cca4 · outbound

This paper cites an unresolved cited work.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Unresolved cited work

Reference 1

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Unresolved cited work

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Unresolved cited work

Reference 3

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Observation 06d8e92d-1cb1-40a6-8319-f1be7e368135 · outbound

This paper cites In: 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020

Reference 4

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This paper cites In: Proceedings of the Genetic and Evolutionary Computation Confer- ence, GECCO 2023, Lisbon, Portugal, July 15-19, 2023.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Genetic and Evolutionary Computation Confer- ence, GECCO 2023, Lisbon, Portugal, July 15-19, 2023

Reference 5

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This paper cites Data Min.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Data Min

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Unresolved cited work

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This paper cites In: Proceedings of Foundations of Genetic Algorithms (FOGA) ’19.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of Foundations of Genetic Algorithms (FOGA) ’19

Reference 8

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This paper cites Advances in Neural Information Processing Systems 34, 18932–18943 (2021).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Advances in Neural Information Processing Systems 34, 18932–18943 (2021)

Reference 9

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Observation 3434acab-778d-4338-aa03-ca04b4928681 · outbound

This paper cites Optimiza- tion Methods and Software 36(1), 114–144 (2021).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Optimiza- tion Methods and Software 36(1), 114–144 (2021)

Reference 10

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Observation b2bf3b34-59a1-43a7-b64c-31fb6f17deb4 · outbound

This paper cites Evolutionary Computation 9(2), 159–195 (2001).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Evolutionary Computation 9(2), 159–195 (2001)

Reference 11

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Observation 60e3ea67-3612-44d4-8ca9-745486630b16 · outbound

This paper cites Data Min.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Data Min

Reference 12

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Observation 19bb708f-0c47-47de-9daf-52e1b194997a · outbound

This paper cites Neural Comput.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Neural Comput

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This paper cites In: Proceedings of the Genetic and Evolutionary Com- putation Conference, GECCO ’20 (2020).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Genetic and Evolutionary Com- putation Conference, GECCO ’20 (2020)

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This paper cites In: Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Proceedings.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Proceedings

Reference 15

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This paper cites In: IEEE Congress on Evolutionary Computation, CEC 2022, Padua, Italy, July 18-23, 2022.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: IEEE Congress on Evolutionary Computation, CEC 2022, Padua, Italy, July 18-23, 2022

Reference 16

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This paper cites In: Proceedings of ICNN’95 - International Conference on Neural Networks.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of ICNN’95 - International Conference on Neural Networks

Reference 17

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Observation 011651ed-d9bc-48c2-9f21-3d930c811461 · outbound

This paper cites Evolutionary Computation 27(1), 3–45 (Mar 2019).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Evolutionary Computation 27(1), 3–45 (Mar 2019)

Reference 18

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This paper cites In: Parallel Problem Solving from Nature - PPSN XVII - 17th Inter- national Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Parallel Problem Solving from Nature - PPSN XVII - 17th Inter- national Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I

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This paper cites In: Proceedings of the Companion Conference on Genetic and Evolutionary Com- putation.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Companion Conference on Genetic and Evolutionary Com- putation

Reference 20

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model ACM Trans

Reference 21

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model sktime: A Unified Interface for Machine Learning with Time Series

Reference 22

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This paper cites Opera- tions Research Perspectives 3, 43 – 58 (2016).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Opera- tions Research Perspectives 3, 43 – 58 (2016)

Reference 23

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Observation e154ce5b-a967-4503-9a5d-84171573fa66 · outbound

This paper cites Data Min.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Data Min

Reference 24

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’11

Reference 25

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Unresolved cited work

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This paper cites Journal of Machine Learning Research 12, 2825–2830 (2011).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Journal of Machine Learning Research 12, 2825–2830 (2011)

Reference 27

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’19

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Ap- plications of Evolutionary Computation - 24th International Conference, EvoAp- plications 2021, Held as Part of EvoStar 2021, Proceedings

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model https://doi.org/10.5281/ zenodo.14163833, https://doi.org/10.5281/zenodo.14163833

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II

Reference 31

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model https://doi.org/10

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024

Reference 33

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model IEEE Trans

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: International Conference on Parallel Problem Solving from Nature

Reference 36

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This paper cites Journal of Global Optimization 11(4), 341–359 (1997).

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Journal of Global Optimization 11(4), 341–359 (1997)

Reference 37

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model https://doi.org/10.5281/zenodo.7249389

Reference 38

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the Second International Confer- ence on Automated Machine Learning

Reference 39

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Reference 40

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Journal of Systems Engineering and Electronics 28(1), 162–169 (2017)

Reference 41

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Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Pattern Recogni- tion 74, 171–184 (2018)

Reference 42

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Pith citing papers

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