Paper Citation Record · LEDGER

Efficient pooling of predictions via kernel embeddings

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2411.16246.

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

pith.paper-citation-record.v1
2411.16246 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:29:23.338450Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T07:12:03.401732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:12:41.193980Z

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ded01ee-64c7-4279-b246-c55a2dfbbc14 · outbound

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

Efficient pooling of predictions via kernel embeddings Evaluating forecasts for high-impact events using transformed kernel scores

Reference 1

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Observation a59efa8e-492f-423f-8637-02a6aecb9843 · outbound

This paper cites Theory of reproducing kernels.

Efficient pooling of predictions via kernel embeddings Theory of reproducing kernels

Reference 2

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Observation 7e020814-0bad-48ab-9276-4626a618eab8 · outbound

This paper cites Harmonic analysis on semigroups, volume 100.

Efficient pooling of predictions via kernel embeddings Harmonic analysis on semigroups, volume 100

Reference 3

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This paper cites CRPS learning.

Efficient pooling of predictions via kernel embeddings CRPS learning

Reference 4

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This paper cites Bagging predictors.

Efficient pooling of predictions via kernel embeddings Bagging predictors

Reference 5

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This paper cites Random forests.

Efficient pooling of predictions via kernel embeddings Random forests

Reference 6

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This paper cites Verification of forecasts expressed in terms of probability.

Efficient pooling of predictions via kernel embeddings Verification of forecasts expressed in terms of probability

Reference 7

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This paper cites Ensemble forecasting and the need for calibration.

Efficient pooling of predictions via kernel embeddings Ensemble forecasting and the need for calibration

Reference 8

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Observation 74fcf47e-1225-4099-b8f0-71c092121854 · outbound

This paper cites Combining probability distributions from experts in risk analysis.

Efficient pooling of predictions via kernel embeddings Combining probability distributions from experts in risk analysis

Reference 9

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This paper cites The geometry of proper scoring rules.

Efficient pooling of predictions via kernel embeddings The geometry of proper scoring rules

Reference 10

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This paper cites Coherent combination of experts' opinions.

Efficient pooling of predictions via kernel embeddings Coherent combination of experts' opinions

Reference 11

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This paper cites Ensemble learning.

Efficient pooling of predictions via kernel embeddings Ensemble learning

Reference 12

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This paper cites Experiments with a new boosting algorithm.

Efficient pooling of predictions via kernel embeddings Experiments with a new boosting algorithm

Reference 13

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This paper cites Kernel measures of conditional dependence.

Efficient pooling of predictions via kernel embeddings Kernel measures of conditional dependence

Reference 14

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This paper cites Pooling operators with the marginalization property.

Efficient pooling of predictions via kernel embeddings Pooling operators with the marginalization property

Reference 15

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This paper cites Strictly proper scoring rules, prediction, and estimation.

Efficient pooling of predictions via kernel embeddings Strictly proper scoring rules, prediction, and estimation

Reference 16

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Observation f538548e-f1de-413b-9507-14fc0b302e87 · outbound

This paper cites Comparing density forecasts using threshold-and quantile-weighted scoring rules.

Efficient pooling of predictions via kernel embeddings Comparing density forecasts using threshold-and quantile-weighted scoring rules

Reference 17

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This paper cites Combining predictive distributions.

Efficient pooling of predictions via kernel embeddings Combining predictive distributions

Reference 18

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Observation 3aac4afa-ea33-4e37-ae01-394bd5922a3b · outbound

This paper cites The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification.

Efficient pooling of predictions via kernel embeddings The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification

Reference 19

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This paper cites Combining density forecasts.

Efficient pooling of predictions via kernel embeddings Combining density forecasts

Reference 20

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

Efficient pooling of predictions via kernel embeddings The elements of statistical learning: data mining, inference, and prediction

Reference 21

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This paper cites Probability judgments for continuous quantities: Linear combinations and calibration.

Efficient pooling of predictions via kernel embeddings Probability judgments for continuous quantities: Linear combinations and calibration

Reference 22

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Observation 4524bf88-2ca4-4ac8-a36f-2f5c93eb659d · outbound

This paper cites kernlab - an S4 package for kernel methods in R.

Efficient pooling of predictions via kernel embeddings kernlab - an S4 package for kernel methods in R

Reference 23

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Observation 66c63202-c960-4bab-aebc-ac6d3af1b7f4 · outbound

This paper cites Seamless multimodel postprocessing for air temperature forecasts in complex topography.

Efficient pooling of predictions via kernel embeddings Seamless multimodel postprocessing for air temperature forecasts in complex topography

Reference 24

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This paper cites A survey on graph kernels.

Efficient pooling of predictions via kernel embeddings A survey on graph kernels

Reference 25

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Efficient pooling of predictions via kernel embeddings Ensemble forecasting

Reference 26

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This paper cites Is it better to average probabilities or quantiles? Management Science, 59: 0 1594--1611, 2013.

Efficient pooling of predictions via kernel embeddings Is it better to average probabilities or quantiles? Management Science, 59: 0 1594--1611, 2013

Reference 27

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This paper cites Scoring rules for continuous probability distributions.

Efficient pooling of predictions via kernel embeddings Scoring rules for continuous probability distributions

Reference 28

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This paper cites Kernel mean embedding of distributions: A review and beyond.

Efficient pooling of predictions via kernel embeddings Kernel mean embedding of distributions: A review and beyond

Reference 29

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Efficient pooling of predictions via kernel embeddings Combining density forecasts using focused scoring rules

Reference 30

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This paper cites Variogram-based proper scoring rules for probabilistic forecasts of multivariate quantities.

Efficient pooling of predictions via kernel embeddings Variogram-based proper scoring rules for probabilistic forecasts of multivariate quantities

Reference 31

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This paper cites o lkopf, Alexander Smola, and Klaus-Robert M \.

Efficient pooling of predictions via kernel embeddings o lkopf, Alexander Smola, and Klaus-Robert M \

Reference 32

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This paper cites Equivalence of distance-based and RKHS -based statistics in hypothesis testing.

Efficient pooling of predictions via kernel embeddings Equivalence of distance-based and RKHS -based statistics in hypothesis testing

Reference 33

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This paper cites Strictly proper kernel scores and characteristic kernels on compact spaces.

Efficient pooling of predictions via kernel embeddings Strictly proper kernel scores and characteristic kernels on compact spaces

Reference 34

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Efficient pooling of predictions via kernel embeddings The opinion pool

Reference 35

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Efficient pooling of predictions via kernel embeddings Online learning with the continuous ranked probability score for ensemble forecasting

Reference 36

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This paper cites Ensemble post-processing using member-by-member approaches: theoretical aspects.

Efficient pooling of predictions via kernel embeddings Ensemble post-processing using member-by-member approaches: theoretical aspects

Reference 37

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This paper cites Forecast combinations: An over 50-year review.

Efficient pooling of predictions via kernel embeddings Forecast combinations: An over 50-year review

Reference 38

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This paper cites Statistical methods for post-processing ensemble weather forecasts.

Efficient pooling of predictions via kernel embeddings Statistical methods for post-processing ensemble weather forecasts

Reference 39

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This paper cites Probability forecasts and their combination: A research perspective.

Efficient pooling of predictions via kernel embeddings Probability forecasts and their combination: A research perspective

Reference 40

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This paper cites A kernel two-sample test for functional data.

Efficient pooling of predictions via kernel embeddings A kernel two-sample test for functional data

Reference 41

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

Efficient pooling of predictions via kernel embeddings Characteristic kernels on Hilbert spaces , Banach spaces , and on sets of measures

Reference 42

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This paper cites write newline.

Efficient pooling of predictions via kernel embeddings write newline

Reference 43

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Pith citing papers

Observation a917a3a9-d40e-4980-838f-22ee9b4c3fd8 · inbound

A Kernel Score Perspective on Forecast Disagreement and the Linear Pool cites this paper.

A Kernel Score Perspective on Forecast Disagreement and the Linear Pool Efficient pooling of predictions via kernel embeddings

Reference 3

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