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Paper Citation Record · LEDGER

Expert-elicitation method for non-parametric joint priors using normalizing flows

As of 21 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2411.15826.

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

pith.paper-citation-record.v1
2411.15826 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:57:16.203719Z

measured 74 of 74 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.

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

74 of 74 outbound references displayed

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External citation measurements

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Outbound references

Observation 45ccc49a-b714-4165-8b8a-dca28f607942 · outbound

This paper cites In: 12th USENIX symposium on operating systems design and implementation (OSDI 16), pp 265--283, doi:10.5555/3026877.3026899.

Expert-elicitation method for non-parametric joint priors using normalizing flows In: 12th USENIX symposium on operating systems design and implementation (OSDI 16), pp 265--283, doi:10.5555/3026877.3026899

Reference 1

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

Reference 2

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This paper cites Blog Post, ://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html.

Expert-elicitation method for non-parametric joint priors using normalizing flows Blog Post, ://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html

Reference 3

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This paper cites arXiv preprint doi:10.48550/arXiv.2110.09813.

Expert-elicitation method for non-parametric joint priors using normalizing flows arXiv preprint doi:10.48550/arXiv.2110.09813

Reference 4

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

Reference 5

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

Reference 6

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This paper cites IEEE Trans.

Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans

Reference 7

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This paper cites Biometrics pp 603--618.

Expert-elicitation method for non-parametric joint priors using normalizing flows Biometrics pp 603--618

Reference 8

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Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans

Reference 9

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Expert-elicitation method for non-parametric joint priors using normalizing flows Cambridge books

Reference 10

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

Reference 11

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This paper cites Oxford University Press, USA.

Expert-elicitation method for non-parametric joint priors using normalizing flows Oxford University Press, USA

Reference 12

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Expert-elicitation method for non-parametric joint priors using normalizing flows Multi-Task Learning with Deep Neural Networks: A Survey

Reference 13

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

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Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal

Reference 15

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

Reference 16

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

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Expert-elicitation method for non-parametric joint priors using normalizing flows TensorFlow Distributions

Reference 18

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Expert-elicitation method for non-parametric joint priors using normalizing flows NICE: Non-linear Independent Components Estimation

Reference 19

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Expert-elicitation method for non-parametric joint priors using normalizing flows Density estimation using Real NVP

Reference 20

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Expert-elicitation method for non-parametric joint priors using normalizing flows On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 21

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Expert-elicitation method for non-parametric joint priors using normalizing flows In: The 22nd International Conference on Artificial Intelligence and Statistics, PMLR, pp 2681--2690, ://proceedings.mlr.press/v89/feydy19a.html

Reference 25

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work

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Expert-elicitation method for non-parametric joint priors using normalizing flows Entropy 19(10):555

Reference 30

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Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Workflow

Reference 32

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Expert-elicitation method for non-parametric joint priors using normalizing flows MIT press

Reference 34

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Expert-elicitation method for non-parametric joint priors using normalizing flows Elicitation: The science and art of structuring judgement pp 61--93

Reference 35

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Expert-elicitation method for non-parametric joint priors using normalizing flows Nature 585(7825):357--362

Reference 37

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This paper cites In: Peters J, Sontag D (eds) Proc.Conf.UAI , PMLR, pp 1129--1138, ://proceedings.mlr.press/v124/hartmann20a.html.

Expert-elicitation method for non-parametric joint priors using normalizing flows In: Peters J, Sontag D (eds) Proc.Conf.UAI , PMLR, pp 1129--1138, ://proceedings.mlr.press/v124/hartmann20a.html

Reference 38

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Expert-elicitation method for non-parametric joint priors using normalizing flows Statistician 47(1):3--19

Reference 40

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Expert-elicitation method for non-parametric joint priors using normalizing flows Advances in neural information processing systems 31

Reference 42

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Expert-elicitation method for non-parametric joint priors using normalizing flows Auto-Encoding Variational Bayes

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Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans

Reference 44

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Expert-elicitation method for non-parametric joint priors using normalizing flows Flow Matching for Generative Modeling

Reference 45

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Expert-elicitation method for non-parametric joint priors using normalizing flows In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 1871--1880, doi:10.1109/CVPR.2019.00197

Reference 46

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Expert-elicitation method for non-parametric joint priors using normalizing flows arXiv preprint doi:10.48550/arXiv.2303.08528

Reference 47

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Reference 48

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Expert-elicitation method for non-parametric joint priors using normalizing flows In: Proceedings of the 9th Python in Science Conference, Austin, TX, pp 51--56, doi:10.25080/Majora-92bf1922-00a

Reference 49

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Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal

Reference 50

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Expert-elicitation method for non-parametric joint priors using normalizing flows Preferential Normalizing Flows

Reference 51

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Expert-elicitation method for non-parametric joint priors using normalizing flows Biometrika 94(2):427--441

Reference 54

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Expert-elicitation method for non-parametric joint priors using normalizing flows John Wiley & Sons

Reference 56

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Expert-elicitation method for non-parametric joint priors using normalizing flows Anderson localization in an interacting fermionic system

Reference 57

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Reference 58

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Expert-elicitation method for non-parametric joint priors using normalizing flows OSF preprint doi:10.31219/osf.io/tq3an

Reference 59

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Reference 60

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Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans

Reference 62

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Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal

Reference 65

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Expert-elicitation method for non-parametric joint priors using normalizing flows Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching

Reference 67

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Reference 69

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Reference 70

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Reference 71

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Reference 72

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Reference 73

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Reference 74

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Pith citing papers

No inbound Pith citation observations are available.