Paper Citation Record · LEDGER

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2504.13453.

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

pith.paper-citation-record.v1
2504.13453 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:46.091031Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

41 of 41 outbound references displayed

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verified fuzzy7
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External citation measurements

No source-named external measurement is stored.

Outbound references

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This paper cites an unresolved cited work.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

Reference 2

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Observation 5992d559-3537-46ec-a7f0-8e884703ac25 · outbound

This paper cites (2019, January 16).

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2019, January 16)

Reference 3

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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This paper cites (2021, December 14).

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2021, December 14)

Reference 7

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This paper cites P., & Ahmet Erdemir.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems P., & Ahmet Erdemir

Reference 8

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Observation 0920854a-ae51-40a6-b16a-4939803f7a45 · outbound

This paper cites Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems

Reference 11

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This paper cites (2024, March 14).

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2024, March 14)

Reference 12

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

Reference 13

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

Reference 14

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Observation 5030970e-6c84-4654-82d1-0292a4ab2c43 · outbound

This paper cites (2021, February 28).

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2021, February 28)

Reference 15

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Source-reported events for the cited work

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This paper cites Motion of a Triple Rod Pendulum.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Motion of a Triple Rod Pendulum

Reference 16

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Observation d7362f7a-627f-44da-81c4-821e4af95936 · outbound

This paper cites Equations of Motion Formulation of a Pendulum Containing N-point Masses.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Equations of Motion Formulation of a Pendulum Containing N-point Masses

Reference 17

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Observation 004fcf15-b563-48f1-a8f9-db40bf673de2 · outbound

This paper cites An Analytical, Numerical and Experimental Study of the Double Pendulum.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems An Analytical, Numerical and Experimental Study of the Double Pendulum

Reference 18

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Source-reported events for the cited work

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Observation 75e95d42-4462-4b2b-9bfd-d0f2c8f749e9 · outbound

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2024, June 18)

Reference 20

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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This paper cites APPROACHING NONLINEAR DYNAMICS by STUDYING the MOTION of a PENDULUM III: PREDICTABILITY and CONTROL of CHAOTIC MOTION.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems APPROACHING NONLINEAR DYNAMICS by STUDYING the MOTION of a PENDULUM III: PREDICTABILITY and CONTROL of CHAOTIC MOTION

Reference 22

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Observation c5663135-f638-47f1-af3f-b8fc71d3c3f2 · outbound

This paper cites A Systematic Review on Overfitting Control in Shallow and Deep Neural Networks.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems A Systematic Review on Overfitting Control in Shallow and Deep Neural Networks

Reference 23

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems (2023, June 8)

Reference 27

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Analysis of the Application Efficiency of TensorFlow and PyTorch in Convolutional Neural Network

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems N., & Brunton, S

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems O., Olaya, A

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This paper cites Sensitive Dependence on Initial Conditions between Dynamical Systems and Their Induced Hyperspace Dynamical Systems.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Sensitive Dependence on Initial Conditions between Dynamical Systems and Their Induced Hyperspace Dynamical Systems

Reference 35

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Making Sense of Data II

Reference 36

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Chaos and Regularity in the Double Pendulum with Lagrangian Descriptors

Reference 38

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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This paper cites On the Complexity of Neural Network Classifiers: A Comparison between Shallow and Deep Architectures.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems On the Complexity of Neural Network Classifiers: A Comparison between Shallow and Deep Architectures

Reference 40

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Observation c1d3eb8b-2320-4616-b6b8-72eb643e5122 · outbound

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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Unresolved cited work

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Observation 63956771-51eb-48ac-b038-6928615cc170 · outbound

This paper cites Nonlinear Dynamics and Chaos: Applications for Prediction of Weather and Climate.

Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems Nonlinear Dynamics and Chaos: Applications for Prediction of Weather and Climate

Reference 45

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.