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Paper Citation Record · LEDGER

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.18784.

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pith.paper-citation-record.v1
2505.18784 v1

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measured 25 of 25 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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25 of 25 outbound references displayed

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Outbound references

Observation ce58a909-c126-46be-91cf-021286d65099 · outbound

This paper cites A new damage factor for seismic assess- ment of deficient bare and frp-retrofitted rc structures,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements A new damage factor for seismic assess- ment of deficient bare and frp-retrofitted rc structures,

Reference 1

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This paper cites Digital image cor- relation,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Digital image cor- relation,

Reference 2

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Observation 4ea384f3-08cf-4102-bbb9-817b6cdeb53d · outbound

This paper cites Numerical simulationofheterogeneousrockusingdiscreteelement model based on digital image processing,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Numerical simulationofheterogeneousrockusingdiscreteelement model based on digital image processing,

Reference 3

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Observation 4af6ad2f-a54a-4961-8b64-7aebce0a2c9d · outbound

This paper cites Predicting the effec- tivemechanicalpropertyofheterogeneousmaterialsby image based modeling and deep learning,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Predicting the effec- tivemechanicalpropertyofheterogeneousmaterialsby image based modeling and deep learning,

Reference 4

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Observation a54b8a2f-7894-4e2d-9389-1b7fc2e0637f · outbound

This paper cites Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

Reference 5

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This paper cites Brief review of image denoising techniques,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Brief review of image denoising techniques,

Reference 6

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Observation ff1c2ddc-7cbb-4279-b51f-4015a19c9d13 · outbound

This paper cites Strain field de- noisingfordigitalimagecorrelationusingaregularized cost-function,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Strain field de- noisingfordigitalimagecorrelationusingaregularized cost-function,

Reference 7

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Observation 575e01b5-2628-4387-be3b-1597111fc808 · outbound

This paper cites Filters, reproducing kernel, and adaptive meshfree method,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Filters, reproducing kernel, and adaptive meshfree method,

Reference 8

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Observation 5de3118e-34d0-49a7-8da5-a83464f6d677 · outbound

This paper cites Knowledge-based modeling of material behavior with neural networks,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Knowledge-based modeling of material behavior with neural networks,

Reference 9

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Observation dffcd3b6-e8e8-4e86-87d5-02377de9c1a2 · outbound

This paper cites Physics- informed machine learning,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Physics- informed machine learning,

Reference 10

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Observation 414d22ca-d8f5-4765-95b7-ae9852a9c936 · outbound

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

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equa- tions,

Reference 11

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This paper cites Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors,

Reference 12

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This paper cites High-resolution single- photon imaging with physics-informed deep learning,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements High-resolution single- photon imaging with physics-informed deep learning,

Reference 13

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Observation 91ce2f62-82a1-4bc0-acf8-7062dfc98278 · outbound

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Fourier NeuralOperator for Parametric Partial Differential Equations,

Reference 15

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This paper cites Benchmark- ingphysics-informedframeworksfordata-drivenhyper- elasticity,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Benchmark- ingphysics-informedframeworksfordata-drivenhyper- elasticity,

Reference 16

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This paper cites Geo- metric deep learning for computational mechanics part i: Anisotropic hyperelasticity,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Geo- metric deep learning for computational mechanics part i: Anisotropic hyperelasticity,

Reference 17

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Learninghyperelasticanisotropyfromdataviaatensor basis neural network,

Reference 18

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements A Review Paper: Noise Models in Digital Image Processing

Reference 19

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Digital image correlation using newton-raphson methodofpartialdifferentialcorrection,

Reference 20

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Observation 164c5164-eb81-480e-a0b5-e2d5429e9ba7 · outbound

This paper cites Learningdeepimplicitfourierneural operators (IFNOs) with applications to heterogeneous materialmodeling,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Learningdeepimplicitfourierneural operators (IFNOs) with applications to heterogeneous materialmodeling,

Reference 21

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This paper cites Biaxial me- chanical properties of the natural and glutaraldehyde treatedaorticvalvecusp—parti: experimentalresults,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Biaxial me- chanical properties of the natural and glutaraldehyde treatedaorticvalvecusp—parti: experimentalresults,

Reference 22

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A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Mechanical characterisation of porcine rectus sheath under uniaxial and biaxial tension,

Reference 23

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Observation 75bf701d-4ef4-4703-9dc1-d8339b392505 · outbound

This paper cites Peridynamic neural operators: A data-driven nonlocal constitutive model for complex material responses,.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Peridynamic neural operators: A data-driven nonlocal constitutive model for complex material responses,

Reference 24

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This paper cites Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions

Reference 25

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