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Paper Citation Record · LEDGER

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT)

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2606.31776.

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

pith.paper-citation-record.v1
2606.31776 v1

Coverage vector

measured 57 of 57 reference resolution

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Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 988ee029-2bca-43b8-92de-913a8857988e · outbound

This paper cites Global existence and decay for a nonlinear parabolic equation.Nonlinear Analysis: Theory, Methods & Applications, 19(8):763–768, 1992.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Global existence and decay for a nonlinear parabolic equation.Nonlinear Analysis: Theory, Methods & Applications, 19(8):763–768, 1992

Reference 1

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Observation cabd439d-c1c0-4634-a169-f80b7c07b278 · outbound

This paper cites Higher order nonlinear degenerate parabolic equations.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Higher order nonlinear degenerate parabolic equations

Reference 2

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Observation 55a202dd-a4ad-462c-b5ce-1fdbb12bf465 · outbound

This paper cites Numerical differentiation of 2d functions from noisy data.Computers & Mathematics with Applications, 45(1-3):309–327, 2003.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Numerical differentiation of 2d functions from noisy data.Computers & Mathematics with Applications, 45(1-3):309–327, 2003

Reference 3

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Observation b6408990-b532-43dd-9f35-5c3105587204 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937

Reference 4

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Observation 0d06f28d-8ac1-45a8-8de0-5fbd6183c324 · outbound

This paper cites The least-squares property of the Lanczos derivative.Mathematics Magazine, 78(5):368–378, 2005.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) The least-squares property of the Lanczos derivative.Mathematics Magazine, 78(5):368–378, 2005

Reference 5

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Observation 07297846-d9b2-454d-a5ba-40452eddfede · outbound

This paper cites Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b5548631-1265-46b5-8468-8adc31f7d984 · outbound

This paper cites Robust locally weighted regression and smoothing scatterplots.Journal of the American statistical association, 74(368):829–836.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Robust locally weighted regression and smoothing scatterplots.Journal of the American statistical association, 74(368):829–836

Reference 7

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Observation 4f3410b1-f088-48ca-802f-6d53bfd374dc · outbound

This paper cites Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data.Journal of Computational Physics, 514:113261.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data.Journal of Computational Physics, 514:113261

Reference 8

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Observation 2a28a432-ec24-418b-b80b-6c8972d7df92 · outbound

This paper cites Stoch-IDENT: New Method and Mathematical Analysis for Identifying SPDEs from Data.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Stoch-IDENT: New Method and Mathematical Analysis for Identifying SPDEs from Data

Reference 9

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Observation dff5cecc-e31e-4b11-a934-86ce1e8bf3ec · outbound

This paper cites Subspace pursuit for compressive sensing signal reconstruction.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Subspace pursuit for compressive sensing signal reconstruction

Reference 10

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Observation 2efd9c89-01c0-4ce5-880d-993e73b13f42 · outbound

This paper cites Equations of Korteweg– de Vries type, and simple Lie algebras.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Equations of Korteweg– de Vries type, and simple Lie algebras

Reference 11

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Observation 741a245e-d85f-43b6-8863-d9cbfb7f5102 · outbound

This paper cites SIAM, 2019.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) SIAM, 2019

Reference 12

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Observation e7dbeaa1-8a77-47b7-97a0-67a93e76b8f8 · outbound

This paper cites Non-parametric estimation of a multivariate probability density.Theory of Probability & Its Applications, 14(1):153–158, 1969.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Non-parametric estimation of a multivariate probability density.Theory of Probability & Its Applications, 14(1):153–158, 1969

Reference 13

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Observation f6d0506d-6235-48a7-a625-363e30e1ccc7 · outbound

This paper cites Local linear regression smoothers and their minimax efficiencies.The annals of Statistics, pages 196–216, 1993.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Local linear regression smoothers and their minimax efficiencies.The annals of Statistics, pages 196–216, 1993

Reference 14

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Observation 4552bacc-63a1-46ab-9b07-c3d72ebe4de6 · outbound

This paper cites Routledge, 2018.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Routledge, 2018

Reference 15

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Observation 58964b53-25ce-4767-a691-fbf03cd72a36 · outbound

This paper cites Local poly- nomial regression: Optimal kernels and asymptotic minimax efficiency.Annals of the Institute of Statistical Mathematics, 49(1):79–99, 1997.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Local poly- nomial regression: Optimal kernels and asymptotic minimax efficiency.Annals of the Institute of Statistical Mathematics, 49(1):79–99, 1997

Reference 16

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Observation ba46503a-3187-45e4-95c9-6dab420c4cb0 · outbound

This paper cites Generation of finite difference formulas on arbitrarily spaced grids.Mathematics of computation, 51(184):699–706, 1988.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Generation of finite difference formulas on arbitrarily spaced grids.Mathematics of computation, 51(184):699–706, 1988

Reference 17

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Observation bd32b035-13ca-483e-8806-a98567821018 · outbound

This paper cites General least-squares smoothing and differentiation by the convolution (Savitzky- Golay) method.Analytical Chemistry, 62(6):570–573, 1990.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) General least-squares smoothing and differentiation by the convolution (Savitzky- Golay) method.Analytical Chemistry, 62(6):570–573, 1990

Reference 18

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Observation a0cea185-576b-4b64-8953-8a6ca24af27b · outbound

This paper cites Lanczos’ generalized derivative.The American mathematical monthly, 105(4):320–326, 1998.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Lanczos’ generalized derivative.The American mathematical monthly, 105(4):320–326, 1998

Reference 19

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Observation 02b93fbf-a968-44c2-8118-9166a70072fe · outbound

This paper cites Chapter 4 - recent advances in identi- fication of differential equations from noisy data: IDENT review.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Chapter 4 - recent advances in identi- fication of differential equations from noisy data: IDENT review

Reference 20

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Observation 464117dc-a322-4d88-b084-808e085fc5f9 · outbound

This paper cites Robust identification of differential equations by numerical techniques from a single set of noisy observation.SIAM Journal on Scientific Computing, 44(3):A1145–A1175, 2022.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Robust identification of differential equations by numerical techniques from a single set of noisy observation.SIAM Journal on Scientific Computing, 44(3):A1145–A1175, 2022

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation de92f397-12b0-4d54-9cd7-3420dfbdacbd · outbound

This paper cites Group projected subspace pursuit for identification of variable coefficient differential equations (GP-IDENT).Journal of Computational Physics, 494:112526, 2023.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Group projected subspace pursuit for identification of variable coefficient differential equations (GP-IDENT).Journal of Computational Physics, 494:112526, 2023

Reference 22

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Observation b8d91864-8564-4af4-9bd4-92e62bd09670 · outbound

This paper cites Asymptotic the- ory ofℓ 1-regularized PDE identification from a single noisy trajectory.SIAM/ASA Journal on Uncertainty Quantification, 10(3):1012–1036, 2022.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Asymptotic the- ory ofℓ 1-regularized PDE identification from a single noisy trajectory.SIAM/ASA Journal on Uncertainty Quantification, 10(3):1012–1036, 2022

Reference 23

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Observation dd16f008-5f83-4188-be76-f51e5d8a280b · outbound

This paper cites How much can one learn a partial differential equation from its solution?Foundations of Computational Mathematics, 24(5):1595–1641, 2024.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) How much can one learn a partial differential equation from its solution?Foundations of Computational Mathematics, 24(5):1595–1641, 2024

Reference 24

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Observation 6873d338-d3fb-4942-880e-78ebf38793a3 · outbound

This paper cites Derivation and implicit solution of the Harry Dym equation and its connections with the Korteweg-de Vries equation.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Derivation and implicit solution of the Harry Dym equation and its connections with the Korteweg-de Vries equation

Reference 25

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Observation ba6dd74d-df59-4d02-b80b-89d653dfb595 · outbound

This paper cites Finite differences in forward and inverse imaging problems: Maxpol design.SIAM Journal on Imaging Sciences, 10(4):1963–1996, 2017.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Finite differences in forward and inverse imaging problems: Maxpol design.SIAM Journal on Imaging Sciences, 10(4):1963–1996, 2017

Reference 26

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation efc19add-a9ab-494a-abad-f12db39846b7 · outbound

This paper cites Derivative error bounds for Lagrange interpolation: An extension of Cauchy’s bound for the error of Lagrange interpolation.Journal of approximation theory, 67(2):164–173, 1991.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Derivative error bounds for Lagrange interpolation: An extension of Cauchy’s bound for the error of Lagrange interpolation.Journal of approximation theory, 67(2):164–173, 1991

Reference 27

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Observation 5db9102f-137a-45ea-8d93-2c6fa7b9ad2f · outbound

This paper cites IDENT: Identifying differential equations with numerical time evolution.Journal of Scientific Computing, 87(1), 2021.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) IDENT: Identifying differential equations with numerical time evolution.Journal of Scientific Computing, 87(1), 2021

Reference 28

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Observation b781d0d4-8ca8-4a91-b377-48698eef40d3 · outbound

This paper cites Dynamic scaling of growing interfaces.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Dynamic scaling of growing interfaces

Reference 29

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raw_fallback, observed 2026-07-07T00:23:12.999291Z

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Observation 6a6794cc-add4-4bec-9728-c606413ceeb4 · outbound

This paper cites Nonlinear wave equations.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Nonlinear wave equations

Reference 30

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Observation e60654c1-65d2-412b-a625-d68af7eb0edc · outbound

This paper cites Applied analysis prentice hall.New York, 1956.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Applied analysis prentice hall.New York, 1956

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:3f7cf868fb7957abad381b8c320d55b2ad086d5ccf3e9084f6ce0f5604328dff

Observation 990f7646-2b57-409a-850e-8f39a94412fe · outbound

This paper cites Evaluation of noisy data.Journal of the Society for Industrial and Applied Mathematics, Series B: Numerical Analysis, 1(1):76–85, 1964.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Evaluation of noisy data.Journal of the Society for Industrial and Applied Mathematics, Series B: Numerical Analysis, 1(1):76–85, 1964

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.961942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:d78d8eebb2790a026f5aeb6f613f195283ede43d4d98442316b05585aea6d85f

Observation 8b3c44d0-e814-4638-bfad-e07652c44e3b · outbound

This paper cites Weighted essentially non-oscillatory schemes.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Weighted essentially non-oscillatory schemes

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.891897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:81bf0808c133734821c0b8a5c2b13d175f4062960f16e50a79542b74b93b2553

Observation dcc1f98f-f351-4649-a147-b0a4a5db4f0c · outbound

This paper cites Savitzky–Golay smoothing and differentiation filter for even number data.Signal processing, 85(7):1429–1434, 2005.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Savitzky–Golay smoothing and differentiation filter for even number data.Signal processing, 85(7):1429–1434, 2005

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.880299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:1452e46b8470d9f95bf23ebb2f1ceda6c518df7742bf6d0de827c074032cb321

Observation 58af58e7-aff7-4a70-9d47-dd0bb9560dd8 · outbound

This paper cites Properties of Savitzky–Golay digital differentia- tors.Digital Signal Processing, 15(2):122–136, 2005.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Properties of Savitzky–Golay digital differentia- tors.Digital Signal Processing, 15(2):122–136, 2005

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.884846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:d6ecaf3a101fdfed83a280351d6e997e9ff6f87f48aa8544efcedba6b6ab77fc

Observation 68a9a37b-5fea-4d6e-99b3-aa17ae14c319 · outbound

This paper cites Weak SINDy for partial differential equations.Journal of Computational Physics, 443:110525, 2021.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Weak SINDy for partial differential equations.Journal of Computational Physics, 443:110525, 2021

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.856230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:60302ec84f32a6375c6b3890a0431e11f27efa925b1c4fcb1aa3f8dc0af4210b

Observation b75ab5dd-f271-4f29-ab31-4bb1b4bbc45e · outbound

This paper cites A new regularization approach for numerical differentiation.Inverse Problems in Science and Engineering, 28(12):1747–1772, 2020.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) A new regularization approach for numerical differentiation.Inverse Problems in Science and Engineering, 28(12):1747–1772, 2020

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.848273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:a60d646c0ea2c0d6200b1daf58eac540fd65d748e7b16f233a6fda0c31e9b5e6

Observation cb6f99db-4c8c-4feb-b701-70fc53888ad3 · outbound

This paper cites Long-scale evolution of thin liquid films.Reviews of modern physics, 69(3):931, 1997.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Long-scale evolution of thin liquid films.Reviews of modern physics, 69(3):931, 1997

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.852237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:6b1aabc36168cfdfaee7a5cf37602a138c4d495e2a5226a0f5b24ac8398cc042

Observation 1e0aee84-c5b4-4437-8a86-e2fc69bdcf2e · outbound

This paper cites Chebyshev approximation for nonrecursive digital filters with linear phase.IEEE Transactions on circuit theory, 19(2):189–194, 1972.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Chebyshev approximation for nonrecursive digital filters with linear phase.IEEE Transactions on circuit theory, 19(2):189–194, 1972

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.860996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:c7c9c43e6afb75b654f3245e07bfa33b96f38fdcf7c09ea0dc0251813525de4d

Observation 6aba6ad1-e6be-43a5-b7c7-4167f364dfa7 · outbound

This paper cites Wiley-Interscience, 1987.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Wiley-Interscience, 1987

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.868841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:7d0fd99bcf15813ffc563c975eaf9923322a4d69146c06a7066b9718d03b5175

Observation 205e4835-5443-4610-a2b7-f555f6bb1649 · outbound

This paper cites an unresolved cited work.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-07-07T00:23:12.888654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:e5cb9945aa59648595849d894cbea3c4ea65c0aae81b8b6dbebff51d87cda84c

Observation 7bb49229-c712-4fee-8ac2-174cdb9f0ddf · outbound

This paper cites Smoothing by Savitzky-Golay and Legendre filters.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Smoothing by Savitzky-Golay and Legendre filters

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.834092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:a2a166f178e3ebd478ce0751c8088c85daeeb9ec714707b6c781659b2e0edf3f

Observation 8e7886cd-0a15-4f8c-a03a-d367bee0719d · outbound

This paper cites Homogeneous differentiator design using implicit Lyapunov function method.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Homogeneous differentiator design using implicit Lyapunov function method

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.838224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:bd614ce1ec4c2287e91ea38492e64eef03cfd20c77420a4b1fa69fecd17a3aca

Observation 5855dc7a-1429-42ef-8e14-d7c952815b21 · outbound

This paper cites Rangarajan and Sudarshan P.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Rangarajan and Sudarshan P

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.843788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:3625a37a6c35375240e516a986830bae9ad0eafabe761f1f1c39f9b43d72f243

Observation 457caea6-7673-447c-aa84-b70838d39fda · outbound

This paper cites Wiley New York, 1973.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Wiley New York, 1973

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.808370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:97c764abe58097dc9a1af85673f9cb63b1f9fe56ab266ee9a57aa15bc4d430f1

Observation ccbbf97f-a364-4ce6-9a02-f5e1f07d0a9e · outbound

This paper cites Data-driven discovery of partial differential equations.Science advances, 3(4):e1602614.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Data-driven discovery of partial differential equations.Science advances, 3(4):e1602614

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.802457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:81382fb7361a89e627abf19e92ea8473d5df889f74a174cc6256931a2c62437e

Observation ca187153-2f29-4ff2-a091-41bb94a71142 · outbound

This paper cites Multivariate locally weighted least squares regression.The annals of statistics, pages 1346–1370, 1994.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Multivariate locally weighted least squares regression.The annals of statistics, pages 1346–1370, 1994

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.813055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:63e3b8df9c5bd16e652725116d6e778caafa50b54c1df97db39255fab4a9d2ec

Observation 124e9c22-575e-4c48-8add-e7a6eb0320df · outbound

This paper cites Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry, 36(8):1627–1639.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Smoothing and differentiation of data by simplified least squares procedures.Analytical chemistry, 36(8):1627–1639

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.818469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:de9be8ba1a60011113cc17552cc383e1f67d8c94bdcc3b243f42fd02118620dd

Observation 15d6c00f-2839-49df-bdd0-434da5237dae · outbound

This paper cites Maximally flat low-pass FIR filters with reduced delay.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Maximally flat low-pass FIR filters with reduced delay

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.791072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:8639883d523dba34f6ded703a342b6f1720327ce846786e3ba0b4cb619ff5cf2

Observation fe1acbbe-26d8-4c33-a30d-3dd64b3974c6 · outbound

This paper cites Estimation of the mean of a multivariate normal distribution.The annals of Statistics, pages 1135–1151.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Estimation of the mean of a multivariate normal distribution.The annals of Statistics, pages 1135–1151

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.785748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:2beec78bfc0ab41301becf3de953aca4ac99604789890721cce9f6fac954b1c1

Observation 8524a17d-4685-475e-a624-f76323d315bc · outbound

This paper cites WG-IDENT: Weak group identification of pdes with varying coefficients.Journal of Computational Physics, page 114454, 2025.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) WG-IDENT: Weak group identification of pdes with varying coefficients.Journal of Computational Physics, page 114454, 2025

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.823467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:17884f5190e8ca9ddde3c65e2ce7014e7b690e446c59605546213db4641fb244

Observation 94998eb9-5b2b-4c44-8a6e-2ae6a9a1dac3 · outbound

This paper cites PriorIDENT: Prior-informed PDE identification from noisy data.arXiv preprint arXiv:2603.05946, 2026.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) PriorIDENT: Prior-informed PDE identification from noisy data.arXiv preprint arXiv:2603.05946, 2026

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:35:43.540226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:ba98400ae6cf11ea6f65a5cdace98b636a4e6a718c216a3ef2d422dd0834c1ad

Observation 191208f8-0e11-4ad3-8ed9-3f2b9677b4e4 · outbound

This paper cites WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming.Journal of Computational Physics, 483:112069, 2023.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming.Journal of Computational Physics, 483:112069, 2023

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.842184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:517a86c593e307ceae2bc2ec0cefcdf9bdf06c09190647823808550c5904a4b2

Observation b6a16a49-1718-428b-9d0c-9fba7b274706 · outbound

This paper cites Fourier features for identifying differ- ential equations (FourierIdent).Journal of Scientific Computing, 106(47), 2026.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Fourier features for identifying differ- ential equations (FourierIdent).Journal of Scientific Computing, 106(47), 2026

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.865669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:fcda3024cbb31422d9e3e24cee572671d2eed4e7b451abbb80086df760b03eba

Observation 7ba848a2-ca04-459c-a068-286216b4f518 · outbound

This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:12.971334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:d972d59bc9219cd14abe4911e670fb720a1fedd9bd9a49bc6c8cca92b231f752

Observation 9bcf3480-7782-4794-bb49-8da3932078a0 · outbound

This paper cites B-spline signal processing.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) B-spline signal processing

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:13.026608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:b2b86c6bbb2519bda8f281889abd476fa1a25bb7749372b947d6d21256cb2f7f

Observation 44eabbe9-66a2-4443-a261-95be8b51176e · outbound

This paper cites Piecewise polynomial, positive definite and compactly supported radial func- tions of minimal degree.Advances in computational Mathematics, 4(1):389–396, 1995.

PDE Identification Using Noise Adaptive Differentiation in Strong Form (S-IDENT) Piecewise polynomial, positive definite and compactly supported radial func- tions of minimal degree.Advances in computational Mathematics, 4(1):389–396, 1995

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T00:23:13.042652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T04:14:54.105436Z digest=sha256:a9181ed6bb382ea11aef6df08b7855bcf05bba21ac79b1be6668634e8a520ad7

Pith citing papers

No inbound Pith citation observations are available.