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Paper Citation Record · LEDGER

On best approximation by multivariate ridge functions with applications to generalized translation networks

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.08453.

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

pith.paper-citation-record.v1
2412.08453 v3

Coverage vector

measured 35 of 35 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation e4891f7b-cd3e-44b6-beae-f05d858430eb · outbound

This paper cites Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks.

On best approximation by multivariate ridge functions with applications to generalized translation networks Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Reference 1

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On best approximation by multivariate ridge functions with applications to generalized translation networks A Survey of Complex-Valued Neural Networks

Reference 2

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This paper cites Ridgelets: estimating with ridge functions.

On best approximation by multivariate ridge functions with applications to generalized translation networks Ridgelets: estimating with ridge functions

Reference 3

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On best approximation by multivariate ridge functions with applications to generalized translation networks Dai and Y

Reference 4

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On best approximation by multivariate ridge functions with applications to generalized translation networks Unresolved cited work

Reference 5

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On best approximation by multivariate ridge functions with applications to generalized translation networks Unresolved cited work

Reference 6

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This paper cites Robust and resource efficient identification of shallow neural networks by fewest samples.

On best approximation by multivariate ridge functions with applications to generalized translation networks Robust and resource efficient identification of shallow neural networks by fewest samples

Reference 7

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This paper cites Universal approximation with complex-valued deep narrow neural networks.

On best approximation by multivariate ridge functions with applications to generalized translation networks Universal approximation with complex-valued deep narrow neural networks

Reference 8

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On best approximation by multivariate ridge functions with applications to generalized translation networks Optimal approximation using complex-valued neural networks

Reference 9

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This paper cites On the best approximation by ridge functions in the uniform norm.

On best approximation by multivariate ridge functions with applications to generalized translation networks On the best approximation by ridge functions in the uniform norm

Reference 10

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This paper cites Ismailov.

On best approximation by multivariate ridge functions with applications to generalized translation networks Ismailov

Reference 11

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This paper cites A review of some results on ridge function approximation.

On best approximation by multivariate ridge functions with applications to generalized translation networks A review of some results on ridge function approximation

Reference 12

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On best approximation by multivariate ridge functions with applications to generalized translation networks Kaup and B

Reference 13

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On best approximation by multivariate ridge functions with applications to generalized translation networks Complex-valued neural networks: A comprehensive survey

Reference 14

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On best approximation by multivariate ridge functions with applications to generalized translation networks Fundamentality of ridge functions

Reference 15

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On best approximation by multivariate ridge functions with applications to generalized translation networks Luenberger

Reference 16

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On best approximation by multivariate ridge functions with applications to generalized translation networks On Best Approximation by Ridge Functions

Reference 17

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On best approximation by multivariate ridge functions with applications to generalized translation networks Best approximation by ridge functions inLp-spaces

Reference 18

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On best approximation by multivariate ridge functions with applications to generalized translation networks Lower bounds for approximation by MLP neural networks

Reference 19

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On best approximation by multivariate ridge functions with applications to generalized translation networks Onachoiceofsamplingnodesforoptimalapproximationofsmoothfunctions by generalized translation networks

Reference 20

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On best approximation by multivariate ridge functions with applications to generalized translation networks Neural networks for optimal approximation of smooth and analytic functions

Reference 21

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On best approximation by multivariate ridge functions with applications to generalized translation networks Degree of approximation by neural and translation networks with a single hidden layer

Reference 22

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On best approximation by multivariate ridge functions with applications to generalized translation networks Easy proof of the Jacobian for then-dimensional polar coordinates

Reference 23

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On best approximation by multivariate ridge functions with applications to generalized translation networks Optimal approximation of piecewise smooth functions using deep ReLU neural networks

Reference 24

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On best approximation by multivariate ridge functions with applications to generalized translation networks Approximating by ridge functions

Reference 25

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On best approximation by multivariate ridge functions with applications to generalized translation networks Unresolved cited work

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On best approximation by multivariate ridge functions with applications to generalized translation networks Prudnikov, Y

Reference 27

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On best approximation by multivariate ridge functions with applications to generalized translation networks Depth-width tradeoffs in approximating natural functions with neural net- works

Reference 28

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On best approximation by multivariate ridge functions with applications to generalized translation networks Deep Network Approximation Characterized by Number of Neurons

Reference 29

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On best approximation by multivariate ridge functions with applications to generalized translation networks Optimal approximation rate of ReLU networks in terms of width and depth

Reference 30

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On best approximation by multivariate ridge functions with applications to generalized translation networks Benefits of depth in neural networks

Reference 31

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On best approximation by multivariate ridge functions with applications to generalized translation networks Vershynin

Reference 32

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On best approximation by multivariate ridge functions with applications to generalized translation networks The universal approximation theorem for complex-valued neural networks

Reference 33

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On best approximation by multivariate ridge functions with applications to generalized translation networks The phase diagram of approximation rates for deep neural networks

Reference 34

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On best approximation by multivariate ridge functions with applications to generalized translation networks Deep network approximation: Achieving arbitrary accuracy with fixed number of neurons

Reference 35

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