Paper Citation Record · LEDGER

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2510.25599.

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

pith.paper-citation-record.v1
2510.25599 v2

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Outbound references

Observation 83f0433b-5d60-4ae5-bccb-3d1b19098230 · outbound

This paper cites Understanding the bias-variance tradeoff of Bregman divergences.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Understanding the bias-variance tradeoff of Bregman divergences

Reference 1

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Skillful joint probabilistic weather forecasting from marginals

Reference 2

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This paper cites Evaluating forecasts for high-impact events using transformed kernel scores.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Evaluating forecasts for high-impact events using transformed kernel scores

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Deep evidential regression

Reference 4

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This paper cites Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

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This paper cites Efficient epistemic uncertainty estimation in regression ensemble models using pairwise-distance estimators, 2024.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Efficient epistemic uncertainty estimation in regression ensemble models using pairwise-distance estimators, 2024

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

Reference 7

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Convex Optimization

Reference 8

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Uncertainty quantification for data-driven weather models

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This paper cites An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Demaeyer, J

Reference 12

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This paper cites Uncertainty quantification in deep mri reconstruction.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Uncertainty quantification in deep mri reconstruction

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This paper cites Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

Reference 14

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Deep B ayesian active learning with image data

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Borgwardt, Malte J

Reference 17

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

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This paper cites Robust Statistics: The Approach Based on Influence Functions.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Robust Statistics: The Approach Based on Influence Functions

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Quantifying aleatoric and epistemic uncertainty: A credal approach

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Bayesian Active Learning for Classification and Preference Learning

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Kelen, \'A d \'a m Jung, P \'e ter Kersch, and Andras A Benczur

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Rage Against the Mean -- A Review of Distributional Regression Approaches

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores From risk to uncertainty: Generating predictive uncertainty measures via bayesian estimation

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Nonparametric uncertainty quantification for single deterministic neural network

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Simple and scalable predictive uncertainty estimation using deep ensembles

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Stewart, Stefan Depeweg, and Eric Nalisnick

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores The enterprise of knowledge: An essay on knowledge, credal probability, and chance

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Text Classification using String Kernels

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores o hr, Michael Ingrisch, and Eyke H \

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Predictive uncertainty estimation via prior networks

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Uncertainty estimation in autoregressive structured prediction

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Regression Prior Networks

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Multivariate Deep Evidential Regression

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Benchmarking uncertainty disentanglement: Specialized uncertainties for specialized tasks

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores How to measure uncertainty in uncertainty sampling for active learning

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Estimation of entropy and mutual information

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores The Hidden Uncertainty in a Neural Networks Activations

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Andersson, Andrew El-Kadi , Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Neural networks for postprocessing ensemble weather forecasts

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores WeatherBench 2: A benchmark for the next generation of data-driven global weather models

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Second-Order Uncertainty Quantification: A Distance-Based Approach

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Second-Order Uncertainty Quantification: Variance-Based Measures

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty

Reference 52

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Equivalence of distance-based and RKHS-based statistics in hypothesis testing

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Shanthikumar

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Székely and Maria L

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Vishwanathan, Nicol N

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Proper scoring rules for estimation and forecast evaluation

Reference 58

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This paper cites Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? In Robin J.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? In Robin J

Reference 59

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This paper cites Moments and Absolute Moments of the Normal Distribution.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Moments and Absolute Moments of the Normal Distribution

Reference 60

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This paper cites Diffusion Models for Implicit Image Segmentation Ensembles.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Diffusion Models for Implicit Image Segmentation Ensembles

Reference 61

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Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Unresolved cited work

Reference 62

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This paper cites Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures

Reference 63

Resolution: verified exact; doi, observed 2026-08-04T07:43:25.400092Z

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Observation 4ea3e535-5dd9-4352-b116-1ed44a258a83 · outbound

This paper cites , " * write output.state after.block = add.period write.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores , " * write output.state after.block = add.period write

Reference 64

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This paper cites write newline.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores write newline

Reference 65

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Pith citing papers

Observation f048939c-d6fe-4e3f-bbd9-61c6e6878613 · inbound

On the QUEST for Uncertainty Quantification via Highest Density Regions cites this paper.

On the QUEST for Uncertainty Quantification via Highest Density Regions Uncertainty Quantification for Regression: A Unified Framework based on kernel scores

Reference 4

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