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Paper Citation Record · LEDGER

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.14039.

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

pith.paper-citation-record.v1
2505.14039 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:56.041531Z

measured 31 of 31 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

31 of 31 outbound references displayed

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  • verified fuzzy8
  • unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ec3fff8-a30d-4003-a43a-3f7e994a8f73 · outbound

This paper cites Neural operators for accelerating scientific simulations and design, Nature Reviews Physics 6, no.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Neural operators for accelerating scientific simulations and design, Nature Reviews Physics 6, no

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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Observation aa6b59b4-90ab-410a-96ef-643c10fd853a · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 30108fcb-5b8c-4806-b90b-1ad94f83feae · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation aba8aca0-6891-4c10-89f8-9800b2f7df6c · outbound

This paper cites Kovachki, Matthew E.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Kovachki, Matthew E

Reference 4

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6adcaa1f-691c-46e2-9e8b-73d23ee7f2ef · outbound

This paper cites Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines

Reference 5

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f4ec5225-dacf-4337-986a-a9e7a8329274 · outbound

This paper cites Pavarino,Learning the Hodgkin–Huxley model with operator learning techniques, Computer Methods in Applied Mechanics and Engineering, volume 432, page 117381, 2024.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Pavarino,Learning the Hodgkin–Huxley model with operator learning techniques, Computer Methods in Applied Mechanics and Engineering, volume 432, page 117381, 2024

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9d157a1e-a384-4b0f-85c4-91a29d9a424b · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5a6c154c-a9c4-4ec7-9052-b6aa53cd9088 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ed71f07-d0eb-4e70-a392-b1b897da61c4 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e7b57c36-6ce5-4a16-944f-866af7ed584c · outbound

This paper cites Franzone, Luca F.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Franzone, Luca F

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2f230394-57b9-475a-853f-6efb6c65427b · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 11

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 595525d4-a880-43cb-991c-3dd4d221a0a8 · outbound

This paper cites Karniadakis,Physics-informed deep neural operator networks, Machine Learning in Modeling and Simulation: Methods and Applications, 219–254, 2023.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Karniadakis,Physics-informed deep neural operator networks, Machine Learning in Modeling and Simulation: Methods and Applications, 219–254, 2023

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c735cdf-f4a2-4af4-a141-4fa8ba84c81d · outbound

This paper cites Hodgkin, Andrew F.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Hodgkin, Andrew F

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 45697fc5-06bc-4a16-989a-f8d93ee4f3ec · outbound

This paper cites Izhikevich,Dynamical Systems in Neuroscience, MIT press, 2007.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Izhikevich,Dynamical Systems in Neuroscience, MIT press, 2007

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8e99c6de-15ef-49b6-aaed-78e2206f4a84 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6e5fc2b6-15f5-40ea-ba30-dfacb3c24dc0 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 16

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e418bf8a-9cc3-4136-8bbf-aea85f64fd0f · outbound

This paper cites Nonlocality and Nonlinearity Implies Universality in Operator Learning.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Nonlocality and Nonlinearity Implies Universality in Operator Learning

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 20263dd8-5446-4bcc-a0c8-fa516ea7c170 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9a4d1f8e-115b-487a-a970-86c2ed023a40 · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Transformer for Partial Differential Equations' Operator Learning

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 912d0b65-ba24-40ab-8c42-a6072e729448 · outbound

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

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 20

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3954ef6c-e13e-4ac1-8020-1ce40874a2ec · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Tune: A Research Platform for Distributed Model Selection and Training

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0855d862-40d3-4fba-9026-05a2ba01520a · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Decoupled Weight Decay Regularization

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4ae14fe2-3fb5-456d-91cc-e7c7d3899dc6 · outbound

This paper cites Karniadakis,Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators, Nature Machine Intelligence, 3, 3, 218–229, 2021.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Karniadakis,Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators, Nature Machine Intelligence, 3, 3, 218–229, 2021

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0c483c20-6b9c-4a12-9057-858bc4d2056d · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 52bf5165-66e9-4bfe-a869-b02d66554e07 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f46912d2-cce2-4bef-bf36-bab17b5b5baf · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 362946b0-5ff8-47f7-8995-6bef5ec8aba1 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c026c34c-47de-4546-b203-0d10f535d592 · outbound

This paper cites Shampine, Mark W.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Shampine, Mark W

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3e64a4e8-f5c6-4cae-a926-ed0a1ad4cc31 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 29

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f1d8656c-60e7-4635-9a7a-70c87ac1f877 · outbound

This paper cites an unresolved cited work.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Unresolved cited work

Reference 30

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 726dd1d4-68ea-42a4-b611-c2a09d412014 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 31

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unresolved
no resolver link, observed 2026-08-07T15:42:56.041531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.