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Paper Citation Record · LEDGER

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2412.02586.

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

pith.paper-citation-record.v1
2412.02586 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:02:38.169353Z

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation d9d98e49-f627-40c9-9985-c4ea0807a675 · outbound

This paper cites an unresolved cited work.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 1

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 2

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This paper cites Chen and Y.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Chen and Y

Reference 3

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This paper cites Chen and Y.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Chen and Y

Reference 4

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This paper cites Chen and J.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Chen and J

Reference 5

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 7

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 8

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 9

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 10

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 11

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This paper cites Huang and R.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Huang and R

Reference 12

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This paper cites Tackling the Curse of Dimensionality with Physics-Informed Neural Networks.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Tackling the Curse of Dimensionality with Physics-Informed Neural Networks

Reference 13

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 14

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This paper cites Huang, Q.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Huang, Q

Reference 15

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

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This paper cites Adam: A Method for Stochastic Optimization.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Adam: A Method for Stochastic Optimization

Reference 17

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 18

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Local Randomized Neural Networks Methods for Interface Problems

Reference 20

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This paper cites Subspace method based on neural networks for solving the partial differential equation in weak form.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Subspace method based on neural networks for solving the partial differential equation in weak form

Reference 21

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 22

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This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 23

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This paper cites Shang, F.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Shang, F

Reference 24

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Sirignano and K

Reference 26

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 27

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This paper cites Vejchodsk` y, Complementarity based a posteriori error estimates and their properties, Math.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Vejchodsk` y, Complementarity based a posteriori error estimates and their properties, Math

Reference 28

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This paper cites Tensor neural networks for high-dimensional Fokker-Planck equations.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Tensor neural networks for high-dimensional Fokker-Planck equations

Reference 29

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Tensor Neural Network and Its Numerical Integration

Reference 30

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Solving Schr\"{o}dinger Equation Using Tensor Neural Network

Reference 31

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators

Reference 32

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Computing Multi-Eigenpairs of High-Dimensional Eigenvalue Problems Using Tensor Neural Networks

Reference 33

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Wu and B

Reference 34

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 35

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Subspace method based on neural networks for solving the partial differential equation

Reference 36

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 37

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Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-11T23:24:51.310991Z digest=sha256:e8cdb756d4004c330e62ecfab800452ec436b7aa282e775425625c58bd310649

Observation 36cc5ec2-e280-4d40-b504-0aae1aa232f2 · outbound

This paper cites Improved randomized neural network methods with boundary processing for solving elliptic equations.

Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Improved randomized neural network methods with boundary processing for solving elliptic equations

Reference 39

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local_arxiv, observed 2026-08-11T23:24:51.394588Z

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source=pdf_text observed=2026-08-11T23:24:51.316229Z digest=sha256:b7fbf840685f92cafca3b519fcd82798737f95d99553cea23380002177a7ce45

Pith citing papers

Observation 2371d7c4-c0a3-4370-a849-1cce78dcd11c · inbound

Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions cites this paper.

Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy

Reference 38

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arxiv_id, observed 2026-05-23T06:02:38.172483Z

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source=pdf_text observed=2026-05-23T05:58:24.616948Z digest=sha256:10baaaa653667d13b807495086e1489cee157e67b77b378d86bfa3d2168eb54d

Observation 264b420e-962c-4032-8d28-05ca2a65d87e · inbound

Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations cites this paper.

Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy

Reference 21

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source=pdf_text observed=2026-08-07T13:52:37.368569Z digest=sha256:3671443e4a0fb08d6684bb9a80cb789bef98cd220776e33eb09b0d4359835161

Observation 5d2de342-b54f-406e-97c6-7a0cedee451d · inbound

Adaptive feature capture method for solving partial differential equations with near singular solutions cites this paper.

Adaptive feature capture method for solving partial differential equations with near singular solutions Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy

Reference 19

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