Paper Citation Record · LEDGER

Adaptive Nystr\"om for Gaussian Process Regression

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.27427.

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

pith.paper-citation-record.v1
2607.27427 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:17:23.394741Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
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malformed identifier0
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External citation measurements

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Outbound references

Observation 6544847c-f469-4d24-a0a1-0d973eff7a53 · outbound

This paper cites Kernel independent component analysis.Journal of Machine Learning Research, 3(Jul):1–48, 2002.

Adaptive Nystr\"om for Gaussian Process Regression Kernel independent component analysis.Journal of Machine Learning Research, 3(Jul):1–48, 2002

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.346755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f063bfaf-dd3f-45fb-9ef0-d5081f5e1c9c · outbound

This paper cites R package version 1.2.1.

Adaptive Nystr\"om for Gaussian Process Regression R package version 1.2.1

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.450994Z

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Observation 42a81a52-e187-43b6-99f7-201308dc2f13 · outbound

This paper cites Deep mixed effect model using gaussian processes: A personalized and reliable prediction for healthcare.

Adaptive Nystr\"om for Gaussian Process Regression Deep mixed effect model using gaussian processes: A personalized and reliable prediction for healthcare

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.562212Z

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Observation 41831393-c3c1-40b6-a365-0a5cd670c0a9 · outbound

This paper cites John Wiley and Sons, New York, 2015.

Adaptive Nystr\"om for Gaussian Process Regression John Wiley and Sons, New York, 2015

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.637441Z

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Observation 193aa0c2-5d16-461d-8bd0-857bf304238a · outbound

This paper cites Distributed gaussian processes.

Adaptive Nystr\"om for Gaussian Process Regression Distributed gaussian processes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.727094Z

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Observation e025bb73-6549-4de8-865a-7bb88556fc41 · outbound

This paper cites Gaussian processes for data-efficient learning in robotics and control.IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(2):408–423, 2015.

Adaptive Nystr\"om for Gaussian Process Regression Gaussian processes for data-efficient learning in robotics and control.IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(2):408–423, 2015

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.805445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0215435-b36a-444c-b155-e4cc2f3531ee · outbound

This paper cites Forecasting global climate drivers using gaussian processes and convolutional autoencoders.Engineering Applications of Artificial Intelligence, 128:107536, 2024.

Adaptive Nystr\"om for Gaussian Process Regression Forecasting global climate drivers using gaussian processes and convolutional autoencoders.Engineering Applications of Artificial Intelligence, 128:107536, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:20.898238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1be0df-f62d-4d03-b8b4-dad5151fd77f · outbound

This paper cites an unresolved cited work.

Adaptive Nystr\"om for Gaussian Process Regression Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.033463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acb95d8-2057-47c9-81b1-add53e9966de · outbound

This paper cites Spectral grouping using the nys- trom method.IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):214–225, 2004.

Adaptive Nystr\"om for Gaussian Process Regression Spectral grouping using the nys- trom method.IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):214–225, 2004

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.156850Z

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Observation 62395625-ef98-46d1-93e8-821ee418d3e5 · outbound

This paper cites Harville.Matrix Algebra From a Statistician’s Perspective.

Adaptive Nystr\"om for Gaussian Process Regression Harville.Matrix Algebra From a Statistician’s Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.255400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef072ee4-f480-4737-86f3-06394b926607 · outbound

This paper cites Higham.Accuracy and Stability of Numerical Algorithms.

Adaptive Nystr\"om for Gaussian Process Regression Higham.Accuracy and Stability of Numerical Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.355804Z

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Observation e6785c55-a3ba-4828-ad18-d2b087f6b0de · outbound

This paper cites Johnson.The NLopt Nonlinear-Optimization Package, 2008.

Adaptive Nystr\"om for Gaussian Process Regression Johnson.The NLopt Nonlinear-Optimization Package, 2008

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.478941Z

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Unavailable: canonical work link unavailable.

Observation 06b54481-3242-45ac-8416-ef4fcdcde9d7 · outbound

This paper cites Parallel inference for massive distributed spatial data using low-rank models.Statistics and Computing, 27(2):363–375, Mar 2017.

Adaptive Nystr\"om for Gaussian Process Regression Parallel inference for massive distributed spatial data using low-rank models.Statistics and Computing, 27(2):363–375, Mar 2017

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.534683Z

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Unavailable: canonical work link unavailable.

Observation eb9bfd63-5fb4-4247-a08e-1b5ff52e1f3e · outbound

This paper cites Ensemble nystrom method.

Adaptive Nystr\"om for Gaussian Process Regression Ensemble nystrom method

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.581260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fabedc-d3f8-45f2-bcaa-f324a6b582f8 · outbound

This paper cites Sampling methods for the nyström method.The Journal of Machine Learning Research, 13(1):981–1006, 2012.

Adaptive Nystr\"om for Gaussian Process Regression Sampling methods for the nyström method.The Journal of Machine Learning Research, 13(1):981–1006, 2012

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.651588Z

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Unavailable: canonical work link unavailable.

Observation d1a90c27-4c6e-4e8b-a239-417d6cab3a2a · outbound

This paper cites Making large-scale nyström approximation possible.

Adaptive Nystr\"om for Gaussian Process Regression Making large-scale nyström approximation possible

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.710520Z

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Unavailable: canonical work link unavailable.

Observation e3dfef5d-0ec1-4569-abe5-abdb5f77e2f8 · outbound

This paper cites an unresolved cited work.

Adaptive Nystr\"om for Gaussian Process Regression Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.763056Z

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Observation 6bbc7be3-b73d-425a-ae08-b3083074a1ca · outbound

This paper cites The bobyqa algorithm for bound constrained optimization without derivatives.

Adaptive Nystr\"om for Gaussian Process Regression The bobyqa algorithm for bound constrained optimization without derivatives

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.824195Z

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Unavailable: canonical work link unavailable.

Observation 9d983255-97fb-4a93-8f6c-2eeb40e1c954 · outbound

This paper cites R Foundation for Statistical Computing, Vienna, Austria, 2026.

Adaptive Nystr\"om for Gaussian Process Regression R Foundation for Statistical Computing, Vienna, Austria, 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.892374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24151c2d-6550-40de-863c-269ef4664966 · outbound

This paper cites an unresolved cited work.

Adaptive Nystr\"om for Gaussian Process Regression Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:21.956402Z

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Unavailable: canonical work link unavailable.

Observation dee103c8-1a1a-4c02-a731-9429e7fd3b54 · outbound

This paper cites DiceKriging, DiceOptim: Two R packages for the analysis of computer experiments by kriging-based metamodeling and optimization.Journal of Statistical Software, 51(1):1–55, 2012.

Adaptive Nystr\"om for Gaussian Process Regression DiceKriging, DiceOptim: Two R packages for the analysis of computer experiments by kriging-based metamodeling and optimization.Journal of Statistical Software, 51(1):1–55, 2012

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.059363Z

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Unavailable: canonical work link unavailable.

Observation b8beac1e-d984-4e62-8015-4035163e5d93 · outbound

This paper cites Springer, 2003.

Adaptive Nystr\"om for Gaussian Process Regression Springer, 2003

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.157353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c231b6-88de-4f73-b29b-476651ec7a82 · outbound

This paper cites Sparse variational inference for generalized gp mod- els.

Adaptive Nystr\"om for Gaussian Process Regression Sparse variational inference for generalized gp mod- els

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.307651Z

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Observation cadc5a88-9662-45b0-8f0d-27a90e167bcb · outbound

This paper cites Global versus local methods in nonlinear dimensionality reduc- tion.

Adaptive Nystr\"om for Gaussian Process Regression Global versus local methods in nonlinear dimensionality reduc- tion

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.426795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7babe53d-c144-45c8-87b8-655e0d47cb74 · outbound

This paper cites Smola and Bernhard Schökopf.

Adaptive Nystr\"om for Gaussian Process Regression Smola and Bernhard Schökopf

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.514662Z

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Unavailable: canonical work link unavailable.

Observation f04a7ff1-daf6-4fab-a71a-46e20035b3e8 · outbound

This paper cites Local and global sparse gaussian process approximations.

Adaptive Nystr\"om for Gaussian Process Regression Local and global sparse gaussian process approximations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.628198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e75b2951-8f1b-4777-a902-488fbcc2d9f2 · outbound

This paper cites Genton and.

Adaptive Nystr\"om for Gaussian Process Regression Genton and

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.743825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb22fad-d8d5-47c1-83ca-a99124c59027 · outbound

This paper cites A review of nyström methods for large-scale machine learning.

Adaptive Nystr\"om for Gaussian Process Regression A review of nyström methods for large-scale machine learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.863122Z

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Unavailable: canonical work link unavailable.

Observation 6c34a8dd-9d73-42f9-997a-c1718af2435f · outbound

This paper cites Surjanovic and D.

Adaptive Nystr\"om for Gaussian Process Regression Surjanovic and D

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:22.973246Z

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Observation b2deccdf-96b8-4bf3-a356-a4c92ac3806e · outbound

This paper cites Variational learning of inducing variables in sparse gaussian processes.

Adaptive Nystr\"om for Gaussian Process Regression Variational learning of inducing variables in sparse gaussian processes

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:23.073403Z

Source-reported events for the cited work

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Observation 1ba384a4-348a-4d84-9f7e-0f287a19e513 · outbound

This paper cites Connections and Equivalences between the Nystr\"om Method and Sparse Variational Gaussian Processes.

Adaptive Nystr\"om for Gaussian Process Regression Connections and Equivalences between the Nystr\"om Method and Sparse Variational Gaussian Processes

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:23.175867Z

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Unavailable: canonical work link unavailable.

Observation c8e56b2d-3426-4c61-ab4c-cbddc96ac90d · outbound

This paper cites Using the nyström method to speed up kernel ma- chines.

Adaptive Nystr\"om for Gaussian Process Regression Using the nyström method to speed up kernel ma- chines

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:23.277749Z

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Unavailable: canonical work link unavailable.

Observation 34715aaf-f46f-47f4-8e5e-70c12bf75a9f · outbound

This paper cites Woodbury.Inverting Modified Matrices.

Adaptive Nystr\"om for Gaussian Process Regression Woodbury.Inverting Modified Matrices

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:23.333028Z

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Unavailable: canonical work link unavailable.

Observation 88315cbb-8a6b-4769-a1de-6d08569c3552 · outbound

This paper cites Tsang, and James T.

Adaptive Nystr\"om for Gaussian Process Regression Tsang, and James T

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T01:17:23.394741Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.