Paper Citation Record · LEDGER

On the Usage of Gaussian Process for Efficient Data Valuation

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.04026.

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

pith.paper-citation-record.v1
2506.04026 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:31.314226Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation 94966859-34fe-4924-934c-9b7ea102655b · outbound

This paper cites Basics and trends in sensitivity analysis: Theory and practice in R.

On the Usage of Gaussian Process for Efficient Data Valuation Basics and trends in sensitivity analysis: Theory and practice in R

Reference 1

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Observation 459596d2-6bea-4dbd-b0e4-b7a16111dfbb · outbound

This paper cites Retiring adult: New datasets for fair machine learning.

On the Usage of Gaussian Process for Efficient Data Valuation Retiring adult: New datasets for fair machine learning

Reference 2

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Observation 517181e8-5c86-48c6-b43d-d1106a721765 · outbound

This paper cites Notes on the schur complement.

On the Usage of Gaussian Process for Efficient Data Valuation Notes on the schur complement

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.972887Z

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Observation 231a72db-bd2a-4204-94ca-82f19a0c6212 · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

On the Usage of Gaussian Process for Efficient Data Valuation Data shapley: Equitable valuation of data for machine learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.958292Z

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Observation fe934684-1531-4c6a-b24f-22f211f0e0a0 · outbound

This paper cites A distributional framework for data valuation.

On the Usage of Gaussian Process for Efficient Data Valuation A distributional framework for data valuation

Reference 5

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Observation b07342f5-7d69-4dfd-acdb-462d673b12a9 · outbound

This paper cites Fast calculation of gaussian process multiple-fold cross-validation residuals and their covariances, 2023.

On the Usage of Gaussian Process for Efficient Data Valuation Fast calculation of gaussian process multiple-fold cross-validation residuals and their covariances, 2023

Reference 6

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Observation 486a00ae-aa0e-4ac8-8e5e-b27862a8a51c · outbound

This paper cites Hedonic housing prices and the demand for clean air.

On the Usage of Gaussian Process for Efficient Data Valuation Hedonic housing prices and the demand for clean air

Reference 7

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Observation 7aa7c965-94ab-470d-81dd-b0889a8897af · outbound

This paper cites Lawrence.

On the Usage of Gaussian Process for Efficient Data Valuation Lawrence

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.911780Z

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Observation 8b8e5694-c9c0-4f7b-8844-1b234ac84787 · outbound

This paper cites Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

On the Usage of Gaussian Process for Efficient Data Valuation Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Reference 9

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Observation defe95b9-3549-41a2-b75a-a690b136425e · outbound

This paper cites Towards efficient data valuation based on the shapley value.

On the Usage of Gaussian Process for Efficient Data Valuation Towards efficient data valuation based on the shapley value

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.892567Z

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Observation e6114561-cd58-473c-a549-48d975697a03 · outbound

This paper cites LAVA: Data Valuation without Pre-Specified Learning Algorithms.

On the Usage of Gaussian Process for Efficient Data Valuation LAVA: Data Valuation without Pre-Specified Learning Algorithms

Reference 11

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Observation 9aad37b7-b0a5-4166-8769-b6e645125e3e · outbound

This paper cites A statistical approach to some basic mine valuation problems on the witwatersrand.

On the Usage of Gaussian Process for Efficient Data Valuation A statistical approach to some basic mine valuation problems on the witwatersrand

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.874950Z

Source-reported events for the cited work

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Observation 12979f4c-bff5-4967-9daa-30d1f48d5ba1 · outbound

This paper cites Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning.

On the Usage of Gaussian Process for Efficient Data Valuation Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 13

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Observation 216f8bf8-8b5b-47b3-a808-7da9a6be6fa0 · outbound

This paper cites An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach.

On the Usage of Gaussian Process for Efficient Data Valuation An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach

Reference 14

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Source-reported events for the cited work

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Observation aa9400f3-4ed1-4143-903f-356756c9ee69 · outbound

This paper cites Calculations of Sobol indices for the Gaussian process metamodel.

On the Usage of Gaussian Process for Efficient Data Valuation Calculations of Sobol indices for the Gaussian process metamodel

Reference 15

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This paper cites Principles of geostatistics.

On the Usage of Gaussian Process for Efficient Data Valuation Principles of geostatistics

Reference 16

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Observation af5adcfd-ffd3-47d3-8873-4798323ed578 · outbound

This paper cites The bayesian bridge between simple and universal kriging.

On the Usage of Gaussian Process for Efficient Data Valuation The bayesian bridge between simple and universal kriging

Reference 17

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Observation 511c1c6c-afe4-4054-b065-de5e929df1e5 · outbound

This paper cites Rasmussen and C.K.I.

On the Usage of Gaussian Process for Efficient Data Valuation Rasmussen and C.K.I

Reference 18

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Observation cffcd188-6894-4e45-beee-ad4ec02ed9bb · outbound

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On the Usage of Gaussian Process for Efficient Data Valuation Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 58da64c7-1de5-4f0a-8f7f-4daa29205556 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

On the Usage of Gaussian Process for Efficient Data Valuation Practical bayesian optimization of machine learning algorithms

Reference 20

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Observation a2303401-a291-4f1f-9399-8c2bb24c3085 · outbound

This paper cites Elementary mathematical theory of classification and prediction.

On the Usage of Gaussian Process for Efficient Data Valuation Elementary mathematical theory of classification and prediction

Reference 21

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Observation edb09bf9-c8f6-4d24-99b4-afad56ff9150 · outbound

This paper cites Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors.

On the Usage of Gaussian Process for Efficient Data Valuation Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:57:31.420285Z

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Observation 21127b7d-daf7-48b3-9ee9-84e4912e7517 · outbound

This paper cites Tanimoto random features for scalable molecular machine learning.

On the Usage of Gaussian Process for Efficient Data Valuation Tanimoto random features for scalable molecular machine learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.793934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 772338eb-cd34-41a5-b486-3634e2c77678 · outbound

This paper cites Exact gaussian processes on a million data points.

On the Usage of Gaussian Process for Efficient Data Valuation Exact gaussian processes on a million data points

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:31.777162Z

Source-reported events for the cited work

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Observation 987ee2f7-5ae0-4a29-a165-96cfc47b228f · outbound

This paper cites Data Banzhaf: A Robust Data Valuation Framework for Machine Learning.

On the Usage of Gaussian Process for Efficient Data Valuation Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:31.309087Z

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Observation a7f70a9b-97de-4e08-80b5-69c1b55b55f2 · outbound

This paper cites The Schur complement and its applications, volume 4.

On the Usage of Gaussian Process for Efficient Data Valuation The Schur complement and its applications, volume 4

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:31.314226Z

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Pith citing papers

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