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Paper Citation Record · LEDGER

Diffusion Maps Kernel Ridge Regression

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.09623.

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

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.

Source: cited_works

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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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=2026-08-11T14:02:37.779662Z digest=sha256:d9b389f5e4555c9ab26c923016b444f952e5fb218570a10d3e6e1b45e0a90114

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.

source=pdf_text observed=2026-08-11T14:02:37.784021Z digest=sha256:9ee4d7a9e9fc7c05927cc69418232c2d928fd6893f5195277c20eabed7373143

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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raw_fallback, observed 2026-08-11T14:02:38.277156Z

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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=sha256:939beaade8287c09023344fed7f856044414043949b9f9e9b2bad9859cba9c60

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.

source=pdf_text observed=2026-08-11T14:02:37.800828Z digest=sha256:0f0c86f1f58a8d518bd4e11246205f75ebd25a160e23f5562a69b94a23dc8a09

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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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 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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raw_fallback, observed 2026-08-11T14:02:38.213127Z

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 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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source=pdf_text observed=2026-08-11T14:02:37.813606Z digest=sha256:dc668bcb6484abfc80ef831ff0cffe090decd908d28be19fb2736630cd7dcc84

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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raw_fallback, observed 2026-08-11T14:02:38.190768Z

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 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

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 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.

source=pdf_text observed=2026-08-11T14:02:37.825732Z digest=sha256:1b6eb6c6d2a40f95651c43d84a802ec7754b9711be5a484f2de0a16f07856231

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

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 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.

source=pdf_text observed=2026-08-11T14:02:37.833720Z digest=sha256:64e64139ff4f6547cddd628fbc8d9c92630988e12ae2a1cda781d16ed27a7e57

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=sha256:224bae6354dea3d69202f5e325d262df1b10f45bf11633410bad5c4d1569524d

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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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

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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=2026-08-11T14:02:37.846149Z digest=sha256:422c521321bd010e26ae3ec65e5c1df066dd385e1ab68e03caa62f868498612e

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:a0b0e27a70c560ac930a4ec40c13047791e72d042f63fb1594da8a8bd9486ba2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:37.854347Z digest=sha256:b5e45d5fa410eddfd2ad9430dbdc60a84220079d7dae9418cb966bc508cca0d0

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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verified fuzzy
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=sha256:53dcec1cbe329346035234c13c71f47f3135dce9f4a0c20c2bc5a4261e7e300d

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=sha256:8676ec75d41009ad3b0b88732a5a9f3b25362ca29d4a0c69352b636d3a7cd667

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.

source=pdf_text observed=2026-08-11T14:02:37.864567Z digest=sha256:439e6278205bb31cf7d68ee14171b151d89ede9760699998c94fe2b57dcd594d

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