Paper Citation Record · LEDGER

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.13413.

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

pith.paper-citation-record.v1
2607.13413 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:18:46.650949Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

verified exact5
verified fuzzy0
unresolved29
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External citation measurements

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Outbound references

Observation 0ff626a6-bead-4b5f-9c09-324a2e981a6f · outbound

This paper cites BMC Medical In- formaticsandDecisionMaking20(1), 310(2020).https://doi.org/10.1186/s12911- 020-01332-6.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification BMC Medical In- formaticsandDecisionMaking20(1), 310(2020).https://doi.org/10.1186/s12911- 020-01332-6

Reference 1

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Observation 8594db0f-a9b1-4897-b9f1-044c22c1cddd · outbound

This paper cites In: AAAI Conference on Artificial Intelligence.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification In: AAAI Conference on Artificial Intelligence

Reference 2

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Observation d210c66e-3568-495b-9861-24c903de3815 · outbound

This paper cites Doklady Akademii Nauk SSSR114, 679–681 (1957).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Doklady Akademii Nauk SSSR114, 679–681 (1957)

Reference 3

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Observation 25f2fcf7-a5c2-4875-aa0a-f9390316aac1 · outbound

This paper cites UCI Machine Learning Repository (1988), DOI: https://doi.org/10.24432/C5JP48 Empirical Comparison of KANs and MLPs for Structured Data 11.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (1988), DOI: https://doi.org/10.24432/C5JP48 Empirical Comparison of KANs and MLPs for Structured Data 11

Reference 4

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Observation 54de871a-75a7-494f-af6b-b3b53912a1fb · outbound

This paper cites IEEEOpen Journalof Signal Processing 1, 295–309 (2020).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification IEEEOpen Journalof Signal Processing 1, 295–309 (2020)

Reference 5

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Observation 96db22dd-0587-41f7-b967-142030471421 · outbound

This paper cites IEEE Transac- tions on Neural Networks and Learning Systems35(6), 7499–7519 (2022).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification IEEE Transac- tions on Neural Networks and Learning Systems35(6), 7499–7519 (2022)

Reference 6

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Observation 185c0b61-444c-49bb-afea-05147baad914 · outbound

This paper cites In: International Conference on Artificial Neural Networks.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification In: International Conference on Artificial Neural Networks

Reference 7

Resolution: verified exact; doi, observed 2026-08-02T05:24:10.124220Z

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Observation 46ba87ea-cfa8-4a35-b284-f5bc0205ef77 · outbound

This paper cites MU- LAN Multi-Label Dataset Repository (2008),http://mulan.sourceforge.net/ datasets-mlc.html.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification MU- LAN Multi-Label Dataset Repository (2008),http://mulan.sourceforge.net/ datasets-mlc.html

Reference 8

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Observation 99f30949-34cf-404d-8c19-c040fc418614 · outbound

This paper cites Briefings in Bioinformatics26(2), bbaf129 (03 2025).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Briefings in Bioinformatics26(2), bbaf129 (03 2025)

Reference 9

Resolution: verified exact; doi, observed 2026-08-02T05:24:09.917084Z

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Observation 3c88c1c6-9b31-4d06-b2a6-37f63275fcda · outbound

This paper cites MULAN Multi-Label Dataset Repository (2015), http://mulan.sourceforge.net/datasets-mlc.html.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification MULAN Multi-Label Dataset Repository (2015), http://mulan.sourceforge.net/datasets-mlc.html

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:43.974768Z

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Observation 6df13deb-f528-4169-9f60-b3ddda1a49be · outbound

This paper cites Journal of Machine Learning Research25(291), 1–30 (2024),https://jmlr.org/papers/ volume25/22-1347/22-1347.pdf.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Journal of Machine Learning Research25(291), 1–30 (2024),https://jmlr.org/papers/ volume25/22-1347/22-1347.pdf

Reference 11

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Observation b695721d-6c5a-452c-9d4c-464a8bee7071 · outbound

This paper cites MIT Press (2016),http: //www.deeplearningbook.org.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification MIT Press (2016),http: //www.deeplearningbook.org

Reference 12

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Observation 83e98b12-f39f-4adc-b558-4e408461a1af · outbound

This paper cites On Embeddings for Numerical Features in Tabular Deep Learning.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification On Embeddings for Numerical Features in Tabular Deep Learning

Reference 13

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Observation bdea1ad0-9d1b-4260-9a0f-28186be55277 · outbound

This paper cites Revisiting Deep Learning Models for Tabular Data.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Revisiting Deep Learning Models for Tabular Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:44.334745Z

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Observation a23f8a3c-eaae-409f-87a6-cd1511726181 · outbound

This paper cites an unresolved cited work.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Unresolved cited work

Reference 15

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Observation 1d63a0ab-7e31-4ebb-b181-ec8dd5da201d · outbound

This paper cites UCI Machine Learning Repository (2023),https://archive.ics.uci.edu/dataset/890/aids+ clinical+trials+group+study+175.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (2023),https://archive.ics.uci.edu/dataset/890/aids+ clinical+trials+group+study+175

Reference 16

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Observation 5f3e6e17-b034-474c-a319-220e2a54ab1a · outbound

This paper cites Kag- gle (2024),https://www.kaggle.com/datasets/anashamoutni/ students-employability-dataset/data.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Kag- gle (2024),https://www.kaggle.com/datasets/anashamoutni/ students-employability-dataset/data

Reference 17

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Observation 208983fa-deeb-4305-9cd3-c53b58253121 · outbound

This paper cites Prentice Hall, 2nd edn.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Prentice Hall, 2nd edn

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:44.889813Z

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Observation 99424ea5-28d0-41d6-ba6d-9ba5651da7fa · outbound

This paper cites Neural Networks2(5), 359–366 (1989).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Neural Networks2(5), 359–366 (1989)

Reference 19

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Observation 166ccb1c-1dbe-4090-8826-10ca01421395 · outbound

This paper cites Well-tuned Simple Nets Excel on Tabular Datasets.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Well-tuned Simple Nets Excel on Tabular Datasets

Reference 20

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Observation a777679a-7194-4f55-ac81-759a04b995b6 · outbound

This paper cites Dok- lady Akademii Nauk SSSR114, 953–956 (1956).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Dok- lady Akademii Nauk SSSR114, 953–956 (1956)

Reference 21

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Observation 6ecd17fe-621c-4f3e-af97-a40ae2316889 · outbound

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Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Unresolved cited work

Reference 22

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Observation d538847e-acf8-4517-838a-a248856e60b5 · outbound

This paper cites In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M

Reference 23

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Observation ff11fc88-f3c2-4b98-9e15-97da38ab442f · outbound

This paper cites UCI Machine Learning Repository (1991), DOI: https://doi.org/10.24432/C5KG68.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (1991), DOI: https://doi.org/10.24432/C5KG68

Reference 24

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This paper cites UCI Machine Learning Repository (1994), DOI: https://doi.org/10.24432/C55C7W.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (1994), DOI: https://doi.org/10.24432/C55C7W

Reference 25

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Observation 862a192f-9ecf-46f6-9744-3797ad31fe8c · outbound

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Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Unresolved cited work

Reference 26

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Observation a2bc0a5d-537a-48f1-ab87-1c10d7a5a4aa · outbound

This paper cites PLOS One19(12), e0311041 (2024).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification PLOS One19(12), e0311041 (2024)

Reference 27

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Observation c6f23cf7-c9b6-4ef9-a29e-eb553a23fc64 · outbound

This paper cites UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5MC89.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5MC89

Reference 28

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Observation 32a28455-5dad-4b28-809c-078c8115b373 · outbound

This paper cites Nature323(6088), 533–536 (1986).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Nature323(6088), 533–536 (1986)

Reference 29

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Observation 2a0e401a-3988-44aa-9a41-7366bbe64d4a · outbound

This paper cites Information Fusion81, 84–90 (2022).

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Information Fusion81, 84–90 (2022)

Reference 30

Resolution: verified exact; doi, observed 2026-08-02T05:24:09.422768Z

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Observation fb40f334-d434-415e-b165-514ea5e6a478 · outbound

This paper cites UCI Machine Learning Repository (1976), DOI: https://doi.org/10.24432/C5488X.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (1976), DOI: https://doi.org/10.24432/C5488X

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:46.299638Z

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Observation d6cd63a1-0ffa-4ee3-b5d5-6cc64fa5a838 · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 32

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Observation afbb3308-bb84-452a-b23b-ede00d7f5ac6 · outbound

This paper cites UCI Machine Learning Repository (1993), DOI: https://doi.org/10.24432/C55887.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (1993), DOI: https://doi.org/10.24432/C55887

Reference 33

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Observation 26b1bdca-812e-4a28-b62f-80bc534f67dd · outbound

This paper cites MU- LAN Multi-Label Dataset Repository (2013),http://mulan.sourceforge.net/ datasets-mlc.html.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification MU- LAN Multi-Label Dataset Repository (2013),http://mulan.sourceforge.net/ datasets-mlc.html

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:46.547420Z

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Observation a91ef4a4-aa20-4501-bdfa-b00a957cc1d1 · outbound

This paper cites UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5FP5Q.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5FP5Q

Reference 35

Resolution: verified exact; doi, observed 2026-08-02T05:24:09.255668Z

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Pith citing papers

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