Paper Citation Record · LEDGER

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2502.02195.

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

pith.paper-citation-record.v1
2502.02195 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:05:20.364454Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

34 of 34 outbound references displayed

verified exact18
verified fuzzy0
unresolved16
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External citation measurements

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Outbound references

Observation 2b6cb3c6-07cf-4396-a046-6ceb03a7c6f9 · outbound

This paper cites DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.212684Z

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Observation 00d4862e-0b00-4f3e-9a6e-5698d76a521c · outbound

This paper cites Nature Geoscience 15, 677–682.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Nature Geoscience 15, 677–682

Reference 7

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.498862Z

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Observation d6ddf662-dbdb-4001-b276-680564483b3d · outbound

This paper cites Geophysical Journal International 229, 1628–1645.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Geophysical Journal International 229, 1628–1645

Reference 10

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.470573Z

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Observation e8aae612-adde-4ce8-a308-090c11a8cc9e · outbound

This paper cites Neural Operator: Learning Maps Between Function Spaces.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Neural Operator: Learning Maps Between Function Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.262521Z

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Observation 390ea09b-8406-4a9d-a609-40e6439343ac · outbound

This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.267269Z

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Observation 75c82e93-298c-49b0-930e-a419cd66b455 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.272100Z

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Observation a85bfe1c-cfae-4795-b050-7753e54230cb · outbound

This paper cites an unresolved cited work.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Unresolved cited work

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-09T13:05:22.961895Z

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Observation 7d1844db-fe0c-470e-bc76-6330b77102ef · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling KAN: Kolmogorov-Arnold Networks

Reference 17

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Observation b491f6f0-c392-487c-bd93-c908213ca4c9 · outbound

This paper cites Nature Machine Intelligence 3, 218–229.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Nature Machine Intelligence 3, 218–229

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.290893Z

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Observation 108c936c-f929-4d95-a862-8dbcc5bcf184 · outbound

This paper cites Computers & Geosciences 176, 105360.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Computers & Geosciences 176, 105360

Reference 20

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:22.602278Z

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Observation 5923b99d-d917-4c2a-8b30-795bf9de8f04 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–12.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling IEEE Transactions on Geoscience and Remote Sensing 60, 1–12

Reference 21

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:21.723536Z

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Observation e5178b4d-bbbe-474f-b735-dd2ef76729c1 · outbound

This paper cites Journal of Computational Physics 378, 686–707.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Journal of Computational Physics 378, 686–707

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.309087Z

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Observation 84a5ebfe-2c4a-47fb-ae8f-4895c9d7ab48 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–9.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling IEEE Transactions on Geoscience and Remote Sensing 60, 1–9

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-09T13:05:21.550086Z

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Observation b9d5e1b4-c62a-40e0-ae3a-1818f130cc73 · outbound

This paper cites A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.322044Z

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Observation 75243ecb-098b-4273-b731-b356af465849 · outbound

This paper cites Physics of theEarthandPlanetaryInteriors173,317–329.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Physics of theEarthandPlanetaryInteriors173,317–329

Reference 26

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.424917Z

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Observation bffad63d-06a2-46e3-87a9-decd1bd4f97f · outbound

This paper cites an unresolved cited work.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:05:23.440071Z

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Observation 78afcdf3-a7bd-46d1-8fe5-bf78016632b4 · outbound

This paper cites GEOPHYSICS 83, WB51–WB60.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling GEOPHYSICS 83, WB51–WB60

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-09T13:05:21.360767Z

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Observation f0753eb1-43e5-47fc-9b67-064790ad69fb · outbound

This paper cites JournalofGeophysicalResearch:SolidEarth125,e2020JB019396.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling JournalofGeophysicalResearch:SolidEarth125,e2020JB019396

Reference 31

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.401251Z

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Observation 6942556a-3448-41d8-a7c0-f5cf40724c48 · outbound

This paper cites an unresolved cited work.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Unresolved cited work

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-09T13:05:20.823985Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88934833-ff48-4a78-86ac-0e87d8c39362 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–14.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling IEEE Transactions on Geoscience and Remote Sensing 60, 1–14

Reference 34

Resolution: verified exact; raw_fallback, observed 2026-08-09T13:05:20.671975Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 232a4284-351e-47a9-adca-1399eac194ee · outbound

This paper cites Doklady Akademii Nauk SSSR 114, 369–373.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Doklady Akademii Nauk SSSR 114, 369–373

Reference 1957

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.257922Z

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Observation ad634e9d-4c19-4635-aa94-5af145af9b62 · outbound

This paper cites IEEE Transactions on Neural Networks 6, 911–917.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling IEEE Transactions on Neural Networks 6, 911–917

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.341461Z

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Observation e5f750f6-c3d4-417c-83d7-a7c405c4d95b · outbound

This paper cites Geophysical Journal International 140, 410–424.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Geophysical Journal International 140, 410–424

Reference 2000

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:22.825010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 255210b1-1a50-46fa-9594-0ca18fe22632 · outbound

This paper cites Constructive Approximation 30, 653–675.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Constructive Approximation 30, 653–675

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.222040Z

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Observation 4b025ee7-7d36-4e50-862f-8eb9f8f50611 · outbound

This paper cites Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.336916Z

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Observation 63dad592-a3be-4b6b-a6c4-a2e19f5b9c94 · outbound

This paper cites Geophysical Journal International 197, 1425–1441.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Geophysical Journal International 197, 1425–1441

Reference 2014

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.438231Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b76aa805-77d4-405f-afcf-f3b719842806 · outbound

This paper cites Geothermics76,15–25.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Geothermics76,15–25

Reference 2018

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.485246Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 743049e1-772c-4484-aeb6-938ad10cc9ff · outbound

This paper cites Computers & Geosciences 127, 44–52.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Computers & Geosciences 127, 44–52

Reference 2019

Resolution: verified exact; doi, observed 2026-08-09T13:05:20.512939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eeca3763-bc56-462a-a23e-ecb32d0ce926 · outbound

This paper cites PhysicsoftheEarthandPlanetaryInteriors309,106585.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling PhysicsoftheEarthandPlanetaryInteriors309,106585

Reference 2020

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:23.198624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e550152-16d1-46bd-b831-4cd71979a87d · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.277107Z

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Observation eaea85ba-6289-4daf-a625-d0b8d9785552 · outbound

This paper cites Geothermics102,102386.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Geothermics102,102386

Reference 2022

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:23.410134Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1b1ba11-96a7-4e39-b21d-1aed3b6e2229 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.235326Z

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Observation 9b0effc6-f5ee-4ce0-a18c-de1c30365338 · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.217701Z

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Observation 30d8bfe0-1d3a-4987-89a5-19212ed4b49e · outbound

This paper cites Computers & Geosciences 194, 105765.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Computers & Geosciences 194, 105765

Reference 2025

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:05:20.999521Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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