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Paper Citation Record · LEDGER

Archetypes or ability? Clustering for modelling student mathematical competence

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.26063.

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

pith.paper-citation-record.v1
2607.26063 v1

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T10:56:49.533441Z

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation f6b18dce-9bc0-4049-8411-bc37cb4cc55c · outbound

This paper cites Telematics and Informatics37, 13–49 (2019).https://doi.org/https:// doi.org/10.1016/j.tele.2019.01.007,https://www.sciencedirect.

Archetypes or ability? Clustering for modelling student mathematical competence Telematics and Informatics37, 13–49 (2019).https://doi.org/https:// doi.org/10.1016/j.tele.2019.01.007,https://www.sciencedirect

Reference 1

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Observation a4fff8ef-86a8-49d1-8135-2f22c773e55b · outbound

This paper cites Neural Computation12(1), 141–152 (2000).

Archetypes or ability? Clustering for modelling student mathematical competence Neural Computation12(1), 141–152 (2000)

Reference 2

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This paper cites Journal of Computing in Higher Education33, 614–634 (2021).

Archetypes or ability? Clustering for modelling student mathematical competence Journal of Computing in Higher Education33, 614–634 (2021)

Reference 3

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This paper cites In: International Conference on Computer Science and Education.

Archetypes or ability? Clustering for modelling student mathematical competence In: International Conference on Computer Science and Education

Reference 4

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Observation 346bbbc1-8715-4495-9822-de2a6b250ae0 · outbound

This paper cites In: 2017 IEEE 23rd international symposium for design and technology in electronic packaging (SIITME).

Archetypes or ability? Clustering for modelling student mathematical competence In: 2017 IEEE 23rd international symposium for design and technology in electronic packaging (SIITME)

Reference 5

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Archetypes or ability? Clustering for modelling student mathematical competence Unresolved cited work

Reference 6

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This paper cites 5281/zenodo.4106649,http://doi.org/10.5281/zenodo.4106649.

Archetypes or ability? Clustering for modelling student mathematical competence 5281/zenodo.4106649,http://doi.org/10.5281/zenodo.4106649

Reference 7

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This paper cites In: Zhou, Z.H.

Archetypes or ability? Clustering for modelling student mathematical competence In: Zhou, Z.H

Reference 8

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This paper cites NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education.

Archetypes or ability? Clustering for modelling student mathematical competence NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education

Reference 9

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This paper cites In: To ap- pear: Proceedings of AIED (Memphis, USA, July 9 - July 13, 2013) (2013).

Archetypes or ability? Clustering for modelling student mathematical competence In: To ap- pear: Proceedings of AIED (Memphis, USA, July 9 - July 13, 2013) (2013)

Reference 10

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This paper cites British Educational Research Journal47(3), 725–741 (2021).https://doi.org/https:// doi.org/10.1002/berj.3705,https://bera-journals.onlinelibrary.

Archetypes or ability? Clustering for modelling student mathematical competence British Educational Research Journal47(3), 725–741 (2021).https://doi.org/https:// doi.org/10.1002/berj.3705,https://bera-journals.onlinelibrary

Reference 11

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This paper cites Br Polit18(2022).https://doi.org/ {https://doi.org/10.1057/s41293-021-00162-y}.

Archetypes or ability? Clustering for modelling student mathematical competence Br Polit18(2022).https://doi.org/ {https://doi.org/10.1057/s41293-021-00162-y}

Reference 12

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This paper cites A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.

Archetypes or ability? Clustering for modelling student mathematical competence A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing

Reference 13

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This paper cites Computational Intelligence and Neuroscience2022(1), 3762431 (2022).

Archetypes or ability? Clustering for modelling student mathematical competence Computational Intelligence and Neuroscience2022(1), 3762431 (2022)

Reference 14

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This paper cites Applied Sciences13(5), 3267 (2023).

Archetypes or ability? Clustering for modelling student mathematical competence Applied Sciences13(5), 3267 (2023)

Reference 15

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This paper cites Technological forecasting and social change 194, 122664 (2023).

Archetypes or ability? Clustering for modelling student mathematical competence Technological forecasting and social change 194, 122664 (2023)

Reference 16

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This paper cites Education Economics28(4), 333–350 (2020).https://doi.org/10.1080/09645292.

Archetypes or ability? Clustering for modelling student mathematical competence Education Economics28(4), 333–350 (2020).https://doi.org/10.1080/09645292

Reference 17

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Archetypes or ability? Clustering for modelling student mathematical competence Unresolved cited work

Reference 18

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

Archetypes or ability? Clustering for modelling student mathematical competence Journal of Machine Learning Research 12, 2825–2830 (2011)

Reference 19

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This paper cites arXiv preprint arXiv:2509.23484 (2025).

Archetypes or ability? Clustering for modelling student mathematical competence arXiv preprint arXiv:2509.23484 (2025)

Reference 20

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Archetypes or ability? Clustering for modelling student mathematical competence Applied sciences10(3), 1042 (2020)

Reference 21

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Archetypes or ability? Clustering for modelling student mathematical competence In: JMLR workshop and conference proceedings

Reference 22

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This paper cites Large-scale assessments in education8(1), 1–20 (2020).

Archetypes or ability? Clustering for modelling student mathematical competence Large-scale assessments in education8(1), 1–20 (2020)

Reference 23

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Archetypes or ability? Clustering for modelling student mathematical competence Jour- nal of Cognition and Development22(5), 695–720 (2021).https:// 18 B

Reference 24

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Archetypes or ability? Clustering for modelling student mathematical competence NeurIPS Education Challenge 2020 (2020),https://eedi.com/projects/neurips-education-challenge

Reference 25

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Archetypes or ability? Clustering for modelling student mathematical competence Unresolved cited work

Reference 26

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Archetypes or ability? Clustering for modelling student mathematical competence Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge

Reference 27

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Archetypes or ability? Clustering for modelling student mathematical competence Journal of Learning Disabilities53(1), 19– 35 (2020).https://doi.org/10.1177/0022219419881632,https://doi

Reference 28

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