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Paper Citation Record · LEDGER

Diffusion Maps Kernel Ridge Regression

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.09623.

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pith.paper-citation-record.v1
2608.09623 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:02:37.864567Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

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

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Reference resolution

25 of 25 outbound references displayed

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  • verified fuzzy18
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External citation measurements

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Outbound references

Observation 034260b3-f44f-4102-9c9f-831287d6216e · outbound

This paper cites Elsevier, 2003.

Diffusion Maps Kernel Ridge Regression Elsevier, 2003

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de80ba8c-983b-4c8e-bd54-5aa8ee162c02 · outbound

This paper cites Bach, Gert R.

Diffusion Maps Kernel Ridge Regression Bach, Gert R

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3f8eb463-a988-4814-875e-d852bc8bdfbe · outbound

This paper cites Academic press, 1988.

Diffusion Maps Kernel Ridge Regression Academic press, 1988

Reference 3

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 29f41dd6-9b0a-4ec9-b14a-0a90022c25ed · outbound

This paper cites Lipschitz regularity of graph Laplacians on random data clouds.SIAM Journal on Mathematical Analysis, 54(1):1169–1222, 2022.

Diffusion Maps Kernel Ridge Regression Lipschitz regularity of graph Laplacians on random data clouds.SIAM Journal on Mathematical Analysis, 54(1):1169–1222, 2022

Reference 4

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raw_fallback, observed 2026-08-11T14:02:38.304091Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b0e296c0-f64e-4a53-a6ae-9716986c075d · outbound

This paper cites Improved spectral convergence rates for graph laplacians onε-graphs and k-nn graphs.Applied and Computational Harmonic Analysis, 60:123–175, 2022.

Diffusion Maps Kernel Ridge Regression Improved spectral convergence rates for graph laplacians onε-graphs and k-nn graphs.Applied and Computational Harmonic Analysis, 60:123–175, 2022

Reference 5

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5dc223fa-1e8d-4361-965c-d10abed99014 · outbound

This paper cites Springer, 2008.

Diffusion Maps Kernel Ridge Regression Springer, 2008

Reference 6

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0bf450e8-9074-4fba-802a-f171618c4dfe · outbound

This paper cites Diffusion maps.Applied and computational harmonic analysis, 21(1):5–30, 2006.

Diffusion Maps Kernel Ridge Regression Diffusion maps.Applied and computational harmonic analysis, 21(1):5–30, 2006

Reference 7

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no resolver link, observed 2026-08-11T14:02:37.792798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:37.792798Z digest=sha256:efc14620b304b7cf8eb4639eb772bcd218e3001d3a610520f43fd117c7fc3060

Observation 3f7cfd64-698f-478c-843d-1a1b84df0e46 · outbound

This paper cites Eigenvalues of the laplacian on a compact manifold with density.Communications in Analysis and Geometry, 23(3):639–670, 2015.

Diffusion Maps Kernel Ridge Regression Eigenvalues of the laplacian on a compact manifold with density.Communications in Analysis and Geometry, 23(3):639–670, 2015

Reference 8

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Observation 2d5b091b-8743-4359-b124-40a76f6a1a10 · outbound

This paper cites Springer, 2019.

Diffusion Maps Kernel Ridge Regression Springer, 2019

Reference 9

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2bd1377d-f74a-4eb3-88c9-8e579ef2bd39 · outbound

This paper cites Elsevier, 2005.

Diffusion Maps Kernel Ridge Regression Elsevier, 2005

Reference 10

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raw_fallback, observed 2026-08-11T14:02:38.226478Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation db0ac0d2-b63e-490f-9411-7692609d41e2 · outbound

This paper cites Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples.Applied and Computational Harmonic Analysis, 55:282–336, 2021.

Diffusion Maps Kernel Ridge Regression Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples.Applied and Computational Harmonic Analysis, 55:282–336, 2021

Reference 11

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fa2cf8fe-6136-4f14-bbf6-73b25324c246 · outbound

This paper cites Scattered data interpolation on embedded submanifolds with restricted positive definite kernels: Sobolev error estimates.SIAM Journal on Numerical Analysis, 50(3):1753–1776, 2012.

Diffusion Maps Kernel Ridge Regression Scattered data interpolation on embedded submanifolds with restricted positive definite kernels: Sobolev error estimates.SIAM Journal on Numerical Analysis, 50(3):1753–1776, 2012

Reference 12

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Observation 872ee20b-987b-4d48-9ed8-88c0f6d456a8 · outbound

This paper cites Rates of strong uniform consistency for multivariate kernel density estimators.

Diffusion Maps Kernel Ridge Regression Rates of strong uniform consistency for multivariate kernel density estimators

Reference 13

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ce89b1c3-13d3-43b4-9558-1add3b601aeb · outbound

This paper cites Cambridge University Press, 2016.

Diffusion Maps Kernel Ridge Regression Cambridge University Press, 2016

Reference 14

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raw_fallback, observed 2026-08-11T14:02:38.177292Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 716b8565-74a9-429f-9b5b-39a79f117b67 · outbound

This paper cites Radial basis approximation of tensor fields on manifolds: from operator estimation to manifold learning.Journal of Machine Learning Research, 24(345):1–85, 2023.

Diffusion Maps Kernel Ridge Regression Radial basis approximation of tensor fields on manifolds: from operator estimation to manifold learning.Journal of Machine Learning Research, 24(345):1–85, 2023

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51f50dbe-24a4-4c1f-a2fb-2eae9bbea7ec · outbound

This paper cites Ghost point diffusion maps for solving elliptic pdes on manifolds with classical boundary conditions.Communications on Pure and Applied Mathematics, 76(2):337–405, 2023.

Diffusion Maps Kernel Ridge Regression Ghost point diffusion maps for solving elliptic pdes on manifolds with classical boundary conditions.Communications on Pure and Applied Mathematics, 76(2):337–405, 2023

Reference 16

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raw_fallback, observed 2026-08-11T14:02:38.156100Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b70d4df7-120a-425e-ba5a-764b460a7f76 · outbound

This paper cites Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression.

Diffusion Maps Kernel Ridge Regression Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression

Reference 17

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local_arxiv, observed 2026-08-11T14:02:38.046096Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0409aad4-216c-430f-b91f-6ab709ce0113 · outbound

This paper cites an unresolved cited work.

Diffusion Maps Kernel Ridge Regression Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:02:37.838175Z digest=sha256:48679b47c72c45691cde1e34b3b52fe058515851ff81ded3b3fc9b177e4e2b55

Observation 2ead571f-9c4f-4f4a-8618-792fb2f4bb33 · outbound

This paper cites Kernel flows: From learning kernels from data into the abyss.Journal of Computational Physics, 389:22–47, 2019.

Diffusion Maps Kernel Ridge Regression Kernel flows: From learning kernels from data into the abyss.Journal of Computational Physics, 389:22–47, 2019

Reference 19

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f486edb7-6964-4b3e-845a-33c7df35c4d7 · outbound

This paper cites Wilson Peoples and John Harlim.

Diffusion Maps Kernel Ridge Regression Wilson Peoples and John Harlim

Reference 20

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raw_fallback, observed 2026-08-11T14:02:38.117009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4ac5cd16-1c7c-4431-9644-db4dea311e2e · outbound

This paper cites Smola.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond.

Diffusion Maps Kernel Ridge Regression Smola.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Reference 21

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raw_fallback, observed 2026-08-11T14:02:38.102295Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:02:37.850386Z digest=sha256:a11fb61afe477209f0aaa6a60859f02174b9f671220b4f069a47a36ff250dda2

Observation e38f5d16-69e5-4deb-8911-ab36897ece75 · outbound

This paper cites Learning solution operator of dynamical systems with diffusion maps kernel ridge regression.arXiv preprint arXiv:2512.17203, 2025.

Diffusion Maps Kernel Ridge Regression Learning solution operator of dynamical systems with diffusion maps kernel ridge regression.arXiv preprint arXiv:2512.17203, 2025

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:37.854347Z digest=sha256:364fa33232bba0deae03e8560ffddca19a4085bf13a3e3f522b369f69adad894

Observation 441d7025-a1f0-482b-ac73-2b1e53beb08b · outbound

This paper cites Optimal rates for regularized least squares regression.

Diffusion Maps Kernel Ridge Regression Optimal rates for regularized least squares regression

Reference 23

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raw_fallback, observed 2026-08-11T14:02:38.088021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:02:37.857767Z digest=sha256:a8c18fd8c934f75961eebaa6cbe74086596202dabd8baee21842a65ea86b3436

Observation 76632093-39cd-465a-9faf-af8e8f7f995f · outbound

This paper cites Consistency of spectral clustering.The Annals of Statistics, pages 555–586, 2008.

Diffusion Maps Kernel Ridge Regression Consistency of spectral clustering.The Annals of Statistics, pages 555–586, 2008

Reference 24

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raw_fallback, observed 2026-08-11T14:02:38.073966Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:02:37.861153Z digest=sha256:303a9fdb22c83d32b49082f069bed9d2799a29f1432c43993bf3f4a7f2657947

Observation 1145b5dd-3fb8-4f2d-acf4-6addb0102728 · outbound

This paper cites f(x) m0q(x) +ϵ Ã 1 m0q(x) m2 m0 µ ∆g f(x)− f(x)∆ g q(x) q(x) ¶ −f(x) m2 m2 0 µ ω(x) q(x) + ∆g q(x) q(x)2 ¶! +O(ϵ 2) # . Subsequently, ˆqϵ(x)= eGϵ1(x) qϵ(x) =ϵ −d/2.

Diffusion Maps Kernel Ridge Regression f(x) m0q(x) +ϵ Ã 1 m0q(x) m2 m0 µ ∆g f(x)− f(x)∆ g q(x) q(x) ¶ −f(x) m2 m2 0 µ ω(x) q(x) + ∆g q(x) q(x)2 ¶! +O(ϵ 2) # . Subsequently, ˆqϵ(x)= eGϵ1(x) qϵ(x) =ϵ −d/2

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T14:02:38.060387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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