Paper Citation Record · LEDGER

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.17033.

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

pith.paper-citation-record.v1
2411.17033 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:41:44.237126Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 236967f7-4e95-4e79-84a2-9404a743523f · outbound

This paper cites The multiple quantile graphical model.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance The multiple quantile graphical model

Reference 1

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Observation 06bf741e-3e86-41f0-9d77-03f367bf2df2 · outbound

This paper cites All of Us.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance All of Us

Reference 2

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Observation 4649d38b-66ba-48b5-b3a7-e4652d53e16f · outbound

This paper cites Generalized random forests.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Generalized random forests

Reference 3

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Observation e49f45c1-f89f-4b0d-9f24-d18c4aa44096 · outbound

This paper cites Quantile graphical models: Prediction and conditional independence with applications to financial risk management.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile graphical models: Prediction and conditional independence with applications to financial risk management

Reference 4

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Observation d12c885a-6e6b-4a91-bfe5-d62bb8fdcbcd · outbound

This paper cites Optimal condensation of distributions and optimal spacing of order statistics.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Optimal condensation of distributions and optimal spacing of order statistics

Reference 5

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Observation b2c23c12-5d52-49f6-93f2-5a19d606a0ff · outbound

This paper cites Network analysis: an integrative approach to the structure of psychopathology.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Network analysis: an integrative approach to the structure of psychopathology

Reference 6

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Observation c3e1d573-a2b9-4d48-b8d5-1b2f86e92716 · outbound

This paper cites Quantile regression neural networks: Implementation in r and application to precipitation downscaling.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile regression neural networks: Implementation in r and application to precipitation downscaling

Reference 7

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Observation 8e123165-aaaf-40c0-8b92-ee9e24ac7b52 · outbound

This paper cites Nonparametric causal structure learning in high dimensions.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Nonparametric causal structure learning in high dimensions

Reference 8

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This paper cites Quantile association regression on bivariate survival data.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile association regression on bivariate survival data

Reference 9

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Observation 4451afef-1f6e-41ab-83d2-20819ff6c2dd · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters, 2018.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Double/debiased machine learning for treatment and structural parameters, 2018

Reference 10

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Observation 0b29056f-8de6-4dc4-a93e-21df0b1071dd · outbound

This paper cites Sparse graphical models for exploring gene expression data.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Sparse graphical models for exploring gene expression data

Reference 11

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Observation b077ff0f-e155-441e-8797-2fb76320679e · outbound

This paper cites Levels of pathogen virulence and host resistance both shape the antibody response to an emerging bacterial disease.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Levels of pathogen virulence and host resistance both shape the antibody response to an emerging bacterial disease

Reference 12

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This paper cites Conditional copulas, association measures and their applications.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Conditional copulas, association measures and their applications

Reference 13

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This paper cites Quantile graphical models: a Bayesian approach.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile graphical models: a Bayesian approach

Reference 14

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Observation 3454d3b5-e8ea-4547-bdff-224bdfd05f61 · outbound

This paper cites On the distribution of a studentized quantile.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance On the distribution of a studentized quantile

Reference 15

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Observation 73e5ffab-0308-4a05-a5b4-e1a1a8d791ae · outbound

This paper cites PC algorithm for nonparanormal graphical models.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance PC algorithm for nonparanormal graphical models

Reference 16

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Observation 8d117178-82c0-407a-8958-d026f55f561b · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, volume 2.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance The elements of statistical learning: data mining, inference, and prediction, volume 2

Reference 17

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This paper cites On parameters of increasing dimensions.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance On parameters of increasing dimensions

Reference 18

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This paper cites Current research trends in early life stress and depression: Review of human studies on sensitive periods, gene--environment interactions, and epigenetics.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Current research trends in early life stress and depression: Review of human studies on sensitive periods, gene--environment interactions, and epigenetics

Reference 19

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This paper cites Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm

Reference 20

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This paper cites Estimating high-dimensional directed acyclic graphs with the PC -algorithm.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Estimating high-dimensional directed acyclic graphs with the PC -algorithm

Reference 21

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Observation a8ed63ae-dbbc-40ab-8356-7d501b1407ba · outbound

This paper cites Quantile regression.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile regression

Reference 22

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This paper cites Handbook of quantile regression.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Handbook of quantile regression

Reference 23

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This paper cites Graphical models, volume 17.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Graphical models, volume 17

Reference 24

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This paper cites Periodontal pathogen load and increased antibody response to heat shock protein 60 in patients with cardiovascular disease.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Periodontal pathogen load and increased antibody response to heat shock protein 60 in patients with cardiovascular disease

Reference 25

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This paper cites Quantile association regression models.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Quantile association regression models

Reference 26

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Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance High-dimensional graphs and variable selection with the lasso

Reference 27

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This paper cites Mitochondrial disease: genetics and management.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Mitochondrial disease: genetics and management

Reference 28

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Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Causality

Reference 29

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Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Data-driven model building for life-course epidemiology

Reference 30

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This paper cites Inferring causation from time series in earth system sciences.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Inferring causation from time series in earth system sciences

Reference 31

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This paper cites Combining multiple functional connectivity methods to improve causal inferences.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Combining multiple functional connectivity methods to improve causal inferences

Reference 32

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This paper cites The hardness of conditional independence testing and the generalised covariance measure.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance The hardness of conditional independence testing and the generalised covariance measure

Reference 33

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This paper cites Circulating markers of nadh-reductive stress correlate with mitochondrial disease severity.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Circulating markers of nadh-reductive stress correlate with mitochondrial disease severity

Reference 34

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Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Causation, prediction, and search

Reference 35

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This paper cites Estimation of a conditional copula and association measures.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Estimation of a conditional copula and association measures

Reference 36

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This paper cites D’ya like dags? a survey on structure learning and causal discovery.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance D’ya like dags? a survey on structure learning and causal discovery

Reference 37

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This paper cites Machine learning for causal inference: on the use of cross-fit estimators.

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance Machine learning for causal inference: on the use of cross-fit estimators

Reference 38

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Pith citing papers

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