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Paper Citation Record · LEDGER

Physics-Informed Neural Networks for Speech Production

As of 12 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2511.00428.

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

pith.paper-citation-record.v1
2511.00428 v2

Coverage vector

measured 53 of 53 reference resolution

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measured 53 of 53 standing notices

One-hop event checks from named stored sources.

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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

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

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Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 62d48ed3-b948-4713-8b6f-51599b57d8c7 · outbound

This paper cites Synthesis of voiced sounds from a two- mass model of the vocal cords,.

Physics-Informed Neural Networks for Speech Production Synthesis of voiced sounds from a two- mass model of the vocal cords,

Reference 1

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Observation 4490129b-7ccd-4fb3-8af1-d2bca8762afe · outbound

This paper cites The physics of small-amplitude oscillation of the vocal folds,.

Physics-Informed Neural Networks for Speech Production The physics of small-amplitude oscillation of the vocal folds,

Reference 2

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Observation 32ff4000-d0ad-4176-a8df-0e59b3246114 · outbound

This paper cites Laryngopharyngeal reflux and voice disorders: a multifactorial model of etiology and pathophysiology,.

Physics-Informed Neural Networks for Speech Production Laryngopharyngeal reflux and voice disorders: a multifactorial model of etiology and pathophysiology,

Reference 3

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Observation ef25c869-2805-49c2-a36c-df8772a4beb4 · outbound

This paper cites Evaluation of voice pathology based on the estimation of vocal fold biomechanical parameters,.

Physics-Informed Neural Networks for Speech Production Evaluation of voice pathology based on the estimation of vocal fold biomechanical parameters,

Reference 4

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Observation 8a510165-38a3-417d-9496-78f713380fca · outbound

This paper cites Education system in acoustics of speech production using physical models of the human vocal tract,.

Physics-Informed Neural Networks for Speech Production Education system in acoustics of speech production using physical models of the human vocal tract,

Reference 5

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Observation 0f1dcd2a-b96a-4924-b7fa-796e04cdbfad · outbound

This paper cites Indirect assessment of the contribution of subglottal air pressure and vocal-fold tension to changes of fundamental frequency in english,.

Physics-Informed Neural Networks for Speech Production Indirect assessment of the contribution of subglottal air pressure and vocal-fold tension to changes of fundamental frequency in english,

Reference 6

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Observation 66578b77-52e9-4bd9-a946-0ce92cff57ed · outbound

This paper cites Numerical analysis and physical consideration of vocal fold vibration by modal analysis,.

Physics-Informed Neural Networks for Speech Production Numerical analysis and physical consideration of vocal fold vibration by modal analysis,

Reference 7

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Observation 75f2a41b-c030-4d43-aa21-53edbc8b4d8a · outbound

This paper cites Toward a simulation-based tool for the treatment of vocal fold paralysis,.

Physics-Informed Neural Networks for Speech Production Toward a simulation-based tool for the treatment of vocal fold paralysis,

Reference 8

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Observation 54f2f8e3-4d4c-4fcb-ae51-55906800899e · outbound

This paper cites Simulation of velopha- ryngeal biomechanics identifies differences in sphincter pharyngoplasty outcomes: A matched case–control study,.

Physics-Informed Neural Networks for Speech Production Simulation of velopha- ryngeal biomechanics identifies differences in sphincter pharyngoplasty outcomes: A matched case–control study,

Reference 9

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Observation 56b70166-a8ec-4bdc-9e0e-8342a465cec0 · outbound

This paper cites Inverse analysis of vocal sound source using an analytical model of the vocal tract,.

Physics-Informed Neural Networks for Speech Production Inverse analysis of vocal sound source using an analytical model of the vocal tract,

Reference 10

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Observation c9363140-1f63-42b8-9bc8-5d5734043cde · outbound

This paper cites Techniques for estimating vocal-tract shapes from the speech signal,.

Physics-Informed Neural Networks for Speech Production Techniques for estimating vocal-tract shapes from the speech signal,

Reference 11

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Observation 3782d7c5-fc63-4013-a07b-699829849076 · outbound

This paper cites Glottal inverse filtering analysis of human voice production—a review of estimation and parameterization methods of the glottal exci- tation and their applications,.

Physics-Informed Neural Networks for Speech Production Glottal inverse filtering analysis of human voice production—a review of estimation and parameterization methods of the glottal exci- tation and their applications,

Reference 12

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Observation fab0f5f1-8f64-41c8-9cc2-4d1ed3c8b571 · outbound

This paper cites Fant,Acoustic theory of speech production: with calculations based on X-ray studies of Russian articulations.

Physics-Informed Neural Networks for Speech Production Fant,Acoustic theory of speech production: with calculations based on X-ray studies of Russian articulations

Reference 13

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Observation 6da7622e-2ef7-4e9d-95dc-431745b057e6 · outbound

This paper cites Deriving vocal fold oscillation information from recorded voice signals using models of phonation,.

Physics-Informed Neural Networks for Speech Production Deriving vocal fold oscillation information from recorded voice signals using models of phonation,

Reference 14

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Observation 39e9b0eb-e263-41c4-a76c-b02e40757a48 · outbound

This paper cites Efficient 3d acoustic simulation of the vocal tract by combining the multimodal method and finite elements,.

Physics-Informed Neural Networks for Speech Production Efficient 3d acoustic simulation of the vocal tract by combining the multimodal method and finite elements,

Reference 15

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Observation 5a4ea3dc-f4f7-44c1-9e10-a2b2d9f1d6a1 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Physics-Informed Neural Networks for Speech Production Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 16

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Observation e19f0c0d-3d76-4749-a8d8-db857312f6f0 · outbound

This paper cites Scientific machine learning through physics–informed neural networks: Where we are and what’s next,.

Physics-Informed Neural Networks for Speech Production Scientific machine learning through physics–informed neural networks: Where we are and what’s next,

Reference 17

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Observation 9be26392-4e53-439c-a3c3-847491f8a6c8 · outbound

This paper cites Understanding physics- informed neural networks: Techniques, applications, trends, and chal- lenges,.

Physics-Informed Neural Networks for Speech Production Understanding physics- informed neural networks: Techniques, applications, trends, and chal- lenges,

Reference 18

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Observation 5d9de4f2-c212-4e6c-bb13-72135587531e · outbound

This paper cites Physics- informed neural network for nonlinear dynamics in fiber optics,.

Physics-Informed Neural Networks for Speech Production Physics- informed neural network for nonlinear dynamics in fiber optics,

Reference 19

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Observation cf76da15-560d-4cd3-83cf-d1054519e4f5 · outbound

This paper cites Physics-informed neural networks for acoustic boundary admittance estimation,.

Physics-Informed Neural Networks for Speech Production Physics-informed neural networks for acoustic boundary admittance estimation,

Reference 20

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Observation d5753f83-44ed-48c9-850c-97765ef36c0f · outbound

This paper cites Room impulse response reconstruction with physics-informed deep learning,.

Physics-Informed Neural Networks for Speech Production Room impulse response reconstruction with physics-informed deep learning,

Reference 21

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Observation e9a100af-ce86-46db-a5e2-c92869e677c3 · outbound

This paper cites Sound field estimation around a rigid sphere with physics-informed neural network,.

Physics-Informed Neural Networks for Speech Production Sound field estimation around a rigid sphere with physics-informed neural network,

Reference 22

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Observation 311092c1-45a9-499c-9d43-23e3e167c038 · outbound

This paper cites Synthesis of voiced sounds using physics-informed neural networks,.

Physics-Informed Neural Networks for Speech Production Synthesis of voiced sounds using physics-informed neural networks,

Reference 23

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Observation fb41ff83-94d3-458c-9be5-7663f6218a7c · outbound

This paper cites Approximation capabilities of multilayer feedforward net- works,.

Physics-Informed Neural Networks for Speech Production Approximation capabilities of multilayer feedforward net- works,

Reference 24

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Observation 9c8621d4-39b5-4a02-89bb-39ce891260d2 · outbound

This paper cites Discontinuity computing using physics-informed neural networks,.

Physics-Informed Neural Networks for Speech Production Discontinuity computing using physics-informed neural networks,

Reference 26

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Observation 9aa1d121-dda8-45ef-8054-76cb16fb0759 · outbound

This paper cites Improving Weak PINNs for Hyperbolic Conservation Laws: Dual Norm Computation, Boundary Conditions and Systems.

Physics-Informed Neural Networks for Speech Production Improving Weak PINNs for Hyperbolic Conservation Laws: Dual Norm Computation, Boundary Conditions and Systems

Reference 27

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Observation f0ae1bf8-a132-428b-a304-436a59356bd4 · outbound

This paper cites When and why pinns fail to train: A neural tangent kernel perspective,.

Physics-Informed Neural Networks for Speech Production When and why pinns fail to train: A neural tangent kernel perspective,

Reference 28

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Observation 8e48be83-2833-4037-a903-2573a3e0c6e7 · outbound

This paper cites Hard enforcement of physics-informed neural network solutions of acoustic wave propagation,.

Physics-Informed Neural Networks for Speech Production Hard enforcement of physics-informed neural network solutions of acoustic wave propagation,

Reference 29

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Observation 741558e1-55aa-4623-bed8-a686a9a69577 · outbound

This paper cites Evolutionary optimization of physics-informed neural networks: Survey and prospects,.

Physics-Informed Neural Networks for Speech Production Evolutionary optimization of physics-informed neural networks: Survey and prospects,

Reference 30

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Observation 139568be-3252-49ce-bef4-89e2319d3afe · outbound

This paper cites On shooting methods for boundary value problems,.

Physics-Informed Neural Networks for Speech Production On shooting methods for boundary value problems,

Reference 31

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Physics-Informed Neural Networks for Speech Production Unresolved cited work

Reference 32

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Observation ca659eeb-4f3b-4d72-a99e-a4532a24cba2 · outbound

This paper cites Chaotic vibration induced by turbulent noise in a two-mass model of vocal folds,.

Physics-Informed Neural Networks for Speech Production Chaotic vibration induced by turbulent noise in a two-mass model of vocal folds,

Reference 33

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Observation 071076ea-7a6c-44d0-ba1d-480de2b796b5 · outbound

This paper cites Studying vocal fold vibrations in parkinson’s disease with a nonlinear model,.

Physics-Informed Neural Networks for Speech Production Studying vocal fold vibrations in parkinson’s disease with a nonlinear model,

Reference 34

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Physics-Informed Neural Networks for Speech Production Vibrational dynamics of vocal folds using nonlinear normal modes,

Reference 35

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Observation 3ee55667-1e31-4aaf-8a26-4c5aeab91abe · outbound

This paper cites Dynamics of the two-mass model of the vocal folds: Equilibria, bifurcations, and oscillation region,.

Physics-Informed Neural Networks for Speech Production Dynamics of the two-mass model of the vocal folds: Equilibria, bifurcations, and oscillation region,

Reference 36

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Observation 3b6a7f79-a35e-4937-8ba0-a695dbe6bb67 · outbound

This paper cites Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube,.

Physics-Informed Neural Networks for Speech Production Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube,

Reference 37

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Observation 06077776-91a2-400c-ba2d-b1861faa5f2f · outbound

This paper cites Neural networks fail to learn periodic functions and how to fix it,.

Physics-Informed Neural Networks for Speech Production Neural networks fail to learn periodic functions and how to fix it,

Reference 38

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Observation 8bee3b94-751b-4ba9-94d5-7843e612e204 · outbound

This paper cites Physics-informed neural networks with hard constraints for inverse design,.

Physics-Informed Neural Networks for Speech Production Physics-informed neural networks with hard constraints for inverse design,

Reference 39

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This paper cites Simulating seismic multifrequency wavefields with the fourier feature physics-informed neural network,.

Physics-Informed Neural Networks for Speech Production Simulating seismic multifrequency wavefields with the fourier feature physics-informed neural network,

Reference 40

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Physics-Informed Neural Networks for Speech Production On the use of fourier features-physics in- formed neural networks (ff-pinn) for forward and inverse fluid mechanics problems,

Reference 41

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Observation c5b1335f-a3c2-4ff8-8b23-24e766470bb3 · outbound

This paper cites Modeling and prediction of lithium-ion battery thermal runaway via multiphysics- informed neural network,.

Physics-Informed Neural Networks for Speech Production Modeling and prediction of lithium-ion battery thermal runaway via multiphysics- informed neural network,

Reference 42

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Observation 0e01a726-a04b-497d-85fc-7cb90576cefb · outbound

This paper cites The application of physics-informed machine learning in multiphysics modeling in chemical engineering,.

Physics-Informed Neural Networks for Speech Production The application of physics-informed machine learning in multiphysics modeling in chemical engineering,

Reference 43

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Observation ed2dc0a8-5f6c-4db1-9765-953a08a00000 · outbound

This paper cites Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks,.

Physics-Informed Neural Networks for Speech Production Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks,

Reference 44

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This paper cites Enforcing dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks,.

Physics-Informed Neural Networks for Speech Production Enforcing dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks,

Reference 45

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Observation 1bdeb3e5-eefb-44d7-be33-c32821e93228 · outbound

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Physics-Informed Neural Networks for Speech Production Incor- porating second-order functional knowledge for better option pricing,

Reference 46

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Physics-Informed Neural Networks for Speech Production Learning repre- sentations by back-propagating errors,

Reference 47

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Observation 421b588d-3419-48f9-8e1f-3b4395b7a449 · outbound

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Physics-Informed Neural Networks for Speech Production Unsteady behavior of flow in a scaled- up vocal folds model,

Reference 48

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Observation 52443219-d532-4128-82a6-efaf4ad080d7 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Physics-Informed Neural Networks for Speech Production Adam: A Method for Stochastic Optimization

Reference 49

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Observation f80a11ab-d5bf-4d28-9b04-f3f5f0e5d716 · outbound

This paper cites Monotone piecewise cubic interpola- tion,.

Physics-Informed Neural Networks for Speech Production Monotone piecewise cubic interpola- tion,

Reference 50

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Observation f5c7dbb5-9e77-4acb-88a4-a9000a0849f4 · outbound

This paper cites A method for constructing local monotone piecewise cubic interpolants,.

Physics-Informed Neural Networks for Speech Production A method for constructing local monotone piecewise cubic interpolants,

Reference 51

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Observation 54a2de07-0f49-4187-b087-cbb5c2b7c5e2 · outbound

This paper cites Identification of physical properties in acoustic tubes using physics-informed neural networks,.

Physics-Informed Neural Networks for Speech Production Identification of physical properties in acoustic tubes using physics-informed neural networks,

Reference 52

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Observation a57806ae-2b1d-49fd-a1f6-8fbc08956437 · outbound

This paper cites A statistical method for estimation of speech spectral density and formant frequencies,.

Physics-Informed Neural Networks for Speech Production A statistical method for estimation of speech spectral density and formant frequencies,

Reference 53

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Observation 918e5947-fc67-4959-9c4b-19dbead8fcaa · outbound

This paper cites V owel space characteristics and vowel identification ac- curacy,.

Physics-Informed Neural Networks for Speech Production V owel space characteristics and vowel identification ac- curacy,

Reference 54

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