Paper Citation Record · LEDGER

Hierarchical Bayesian Calibration with Bayesian Committee Machine

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.12603.

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

pith.paper-citation-record.v1
2608.12603 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:11:15.348582Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

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

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 868ac606-a395-4d0c-a722-94acf0a3db10 · outbound

This paper cites Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Bayesian Inference: An Introduction to Principles and Practice in Machine Learning

Reference 1

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Observation 2d25412a-7a1d-46a1-a1d5-42bb9ff2c382 · outbound

This paper cites Bayesian calibration of computer models.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Bayesian calibration of computer models

Reference 2

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Observation 55968043-f801-4a15-89d0-719c4ee54a69 · outbound

This paper cites Combining Field Data and Computer Simulations for Calibration and Predic- tion.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Combining Field Data and Computer Simulations for Calibration and Predic- tion

Reference 3

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Observation a5173a97-f4ea-49fd-8153-71e198c9cf3f · outbound

This paper cites Computer model validation with functional output.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Computer model validation with functional output

Reference 4

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Observation 5e71b151-2cbd-48aa-8a3c-2dfa2c82c8a2 · outbound

This paper cites Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical Data.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical Data

Reference 5

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Observation 06b00212-24e5-45c4-878c-e2dad5091798 · outbound

This paper cites Computer Model Calibration Using High-Dimensional Output.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Computer Model Calibration Using High-Dimensional Output

Reference 6

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Observation a97150df-a5f5-4b6f-9945-8b4380df67c1 · outbound

This paper cites Reified Bayesian modelling and inference for physical systems.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Reified Bayesian modelling and inference for physical systems

Reference 7

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Observation e4a76cea-2475-442b-bd96-7f09571eab67 · outbound

This paper cites Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments

Reference 8

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Observation 4ec11e9d-9df5-4c18-ba58-e5e74ded8b09 · outbound

This paper cites Eﬀicient calibration for imperfect computer models.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Eﬀicient calibration for imperfect computer models

Reference 9

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Observation 3542963e-c793-4ebc-8e0b-d28c33cfd028 · outbound

This paper cites Bayesian Calibration of Inexact Computer Models.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Bayesian Calibration of Inexact Computer Models

Reference 10

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Source-reported events for the cited work

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Observation e4559016-7f8b-443f-9247-8a02877908ed · outbound

This paper cites A unified framework for multilevel uncertainty quantification in Bayesian inverse problems.

Hierarchical Bayesian Calibration with Bayesian Committee Machine A unified framework for multilevel uncertainty quantification in Bayesian inverse problems

Reference 11

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Observation fdf70fd8-568a-47f3-8117-70e52e8c823f · outbound

This paper cites Gaussian Processes for Machine Learning.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Gaussian Processes for Machine Learning

Reference 12

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Observation 59f9d453-5b55-42ea-aef2-60e8ac4d63e1 · outbound

This paper cites Variational Learning of Inducing Variables in Sparse Gaussian Processes.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Variational Learning of Inducing Variables in Sparse Gaussian Processes

Reference 13

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Observation f2bf5315-cd19-4dac-9d0e-e794a64a9ad0 · outbound

This paper cites Convergence of Sparse Variational Inference in Gaussian Processes Regression.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Convergence of Sparse Variational Inference in Gaussian Processes Regression

Reference 14

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Observation 30c16bc7-2ab5-44ea-87d3-a1a9262906d0 · outbound

This paper cites Adaptive Sparse Variational Approximations for Gaussian Process Regression.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Adaptive Sparse Variational Approximations for Gaussian Process Regression

Reference 15

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Observation c0d4bf1b-bb6d-4dfb-b03c-e2fcb314cb8f · outbound

This paper cites Estimation and Model Identification for Continuous Spatial Processes.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Estimation and Model Identification for Continuous Spatial Processes

Reference 16

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Observation 52f217be-09b4-4001-a558-12f3cf9fb5ca · outbound

This paper cites A General Framework for Vecchia Approximations of Gaussian Processes.

Hierarchical Bayesian Calibration with Bayesian Committee Machine A General Framework for Vecchia Approximations of Gaussian Processes

Reference 17

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Observation 4fd91f19-4ca3-48be-b506-da2f28d94b88 · outbound

This paper cites Using the Nyström Method to Speed Up Kernel Machines.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Using the Nyström Method to Speed Up Kernel Machines

Reference 18

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Observation 5e6632db-06f8-4860-a916-8197c95674cb · outbound

This paper cites When Gaussian Process Meets Big Data: A Review of Scalable GPs.

Hierarchical Bayesian Calibration with Bayesian Committee Machine When Gaussian Process Meets Big Data: A Review of Scalable GPs

Reference 19

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Observation 03e1ef2b-4e3b-4a45-a585-2ab1f57bcc41 · outbound

This paper cites A Bayesian Committee Machine.

Hierarchical Bayesian Calibration with Bayesian Committee Machine A Bayesian Committee Machine

Reference 20

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Observation f1c58954-33bc-4341-b40b-7dbc76441476 · outbound

This paper cites Gaussian Processes for Regression.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Gaussian Processes for Regression

Reference 21

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Observation 7f44b30b-a9b7-417d-9431-d6c93a8dcaec · outbound

This paper cites Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper).

Hierarchical Bayesian Calibration with Bayesian Committee Machine Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)

Reference 22

Resolution: verified exact; doi, observed 2026-08-16T00:11:15.400357Z

Source-reported events for the cited work

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Observation 507fcebb-e17c-46a7-91fa-0391703d3062 · outbound

This paper cites Generating random correlation matrices based on vines and extended onion method.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Generating random correlation matrices based on vines and extended onion method

Reference 23

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Observation a89de6c3-387e-42ef-b140-55cda4d80af1 · outbound

This paper cites The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo.

Hierarchical Bayesian Calibration with Bayesian Committee Machine The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

Reference 24

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Observation 01c95101-b212-41b7-90d0-683be7168e04 · outbound

This paper cites Turing: A Language for Flexible Probabilistic Inference.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Turing: A Language for Flexible Probabilistic Inference

Reference 25

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Observation 7ca18f44-3bc2-472b-879f-e0d4914026f9 · outbound

This paper cites AdvancedHMC.jl: A robust, modular and eﬀicient implementation of advanced HMC algo- rithms.

Hierarchical Bayesian Calibration with Bayesian Committee Machine AdvancedHMC.jl: A robust, modular and eﬀicient implementation of advanced HMC algo- rithms

Reference 26

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Observation a5ef96c3-afb2-449a-b41a-791e2859e2c5 · outbound

This paper cites Sparse Greedy Gaussian Process Regression.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Sparse Greedy Gaussian Process Regression

Reference 27

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Observation e43e4d2e-6035-4ff3-b650-956ed1a54e90 · outbound

This paper cites Fast Sparse Gaussian Process Methods: The Informative Vector Machine.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Fast Sparse Gaussian Process Methods: The Informative Vector Machine

Reference 28

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Observation b35cf75e-7273-47ad-92d7-ccdb949d0386 · outbound

This paper cites Distributed Gaussian processes.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Distributed Gaussian processes

Reference 29

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This paper cites Sparse On-Line Gaussian Processes.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Sparse On-Line Gaussian Processes

Reference 30

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Observation 8c3c204e-1532-4db2-b784-ed7ecc8c3eb1 · outbound

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Hierarchical Bayesian Calibration with Bayesian Committee Machine Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression

Reference 31

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Observation 2bab562d-5fa7-4fe5-9f8c-87b1d12fd05e · outbound

This paper cites A sparse Bayesian Committee Machine potential for oxygen-containing organic compounds.

Hierarchical Bayesian Calibration with Bayesian Committee Machine A sparse Bayesian Committee Machine potential for oxygen-containing organic compounds

Reference 32

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Observation 85f95846-119d-4a5d-b7ed-d2a3083f6136 · outbound

This paper cites A statistical method for tuning a computer code to a data base.

Hierarchical Bayesian Calibration with Bayesian Committee Machine A statistical method for tuning a computer code to a data base

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:11:15.789215Z

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Observation 38d0c597-74f0-4860-a024-8c8efbb91755 · outbound

This paper cites Investigation of reliability method formulations in DAKOTA/UQ.

Hierarchical Bayesian Calibration with Bayesian Committee Machine Investigation of reliability method formulations in DAKOTA/UQ

Reference 34

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Observation dee7c8d9-927d-43fa-a020-8b4519e05ef1 · outbound

This paper cites Research Program and Recent Results at the Argonne Wakefield Accelerator Facility (A W A).

Hierarchical Bayesian Calibration with Bayesian Committee Machine Research Program and Recent Results at the Argonne Wakefield Accelerator Facility (A W A)

Reference 35

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Observation 8eb3a692-9f1a-4401-b894-c6b12d74535d · outbound

This paper cites OPAL a Versatile Tool for Charged Particle Accelerator Simulations.

Hierarchical Bayesian Calibration with Bayesian Committee Machine OPAL a Versatile Tool for Charged Particle Accelerator Simulations

Reference 36

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Pith citing papers

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