Paper Citation Record · LEDGER

modelimportance: An R package for evaluating model importance within a multi-model ensemble

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.30278.

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

pith.paper-citation-record.v1
2605.30278 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:27:04.098165Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

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

46 of 46 outbound references displayed

verified exact1
verified fuzzy0
unresolved44
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad11c23f-4ad4-40f3-a454-a6b5c4d77aa0 · outbound

This paper cites A Unifying Framework for Parallel and Distributed Processing in R using Futures.The R Journal, 13(2):208–227, 2021.

modelimportance: An R package for evaluating model importance within a multi-model ensemble A Unifying Framework for Parallel and Distributed Processing in R using Futures.The R Journal, 13(2):208–227, 2021

Reference 1

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Observation d372d711-831e-4373-a9a1-0d0b90461ce1 · outbound

This paper cites Evaluating Forecasts with scoringutils in R.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Evaluating Forecasts with scoringutils in R

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:47.459545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1f510bd-a278-4e15-8a2b-bdbcd98e0234 · outbound

This paper cites Ray, Tilmann Gneiting, and Nicholas G.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Ray, Tilmann Gneiting, and Nicholas G

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 44dd1ae6-3a0d-462f-bc57-8e4c7266bb7b · outbound

This paper cites Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.PLOS Computational Biology, 14(6):e1006134, 2018.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.PLOS Computational Biology, 14(6):e1006134, 2018

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation dcd82cca-60a6-4f52-8fc4-5ca804a942a8 · outbound

This paper cites R package version 1.7.7.1.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 1.7.7.1

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 96ff495e-5309-4cdc-a482-9467fcceb3cb · outbound

This paper cites The hubverse: open tools for collaborative forecasting, 2024.

modelimportance: An R package for evaluating model importance within a multi-model ensemble The hubverse: open tools for collaborative forecasting, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation d1a2b095-20d0-40cc-b6e1-c19b8d22dd75 · outbound

This paper cites Understanding global feature contributions with 25 additive importance measures.Advances in neural information processing systems, 33:17212– 17223, 2020.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Understanding global feature contributions with 25 additive importance measures.Advances in neural information processing systems, 33:17212– 17223, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 17132224-2ff5-4c05-8f43-566b43531802 · outbound

This paper cites The United States COVID-19 forecast hub dataset.Scientific data, 9(1):462, 2022.

modelimportance: An R package for evaluating model importance within a multi-model ensemble The United States COVID-19 forecast hub dataset.Scientific data, 9(1):462, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 028b7141-1236-4a6d-ba36-e58b3577af0f · outbound

This paper cites Flu scenario modeling hub, 2024.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Flu scenario modeling hub, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation bde1d5c0-ce35-49a4-81eb-561b51c8d18a · outbound

This paper cites Weather forecasting with ensemble methods.Science, 310(5746):248–249, 2005.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Weather forecasting with ensemble methods.Science, 310(5746):248–249, 2005

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 7f0c98ef-eb42-4d14-a3c1-c8b26737cce4 · outbound

This paper cites Strictly Proper Scoring Rules, Prediction, and Estima- tion.Journal of the American Statistical Association, 102(477):359–378, 2007.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Strictly Proper Scoring Rules, Prediction, and Estima- tion.Journal of the American Statistical Association, 102(477):359–378, 2007

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 1039b405-1938-404d-8552-a049bb8eac2a · outbound

This paper cites R package version 0.1.4.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 0.1.4

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 41943a56-fe03-45a8-a6a8-3de1824c99c1 · outbound

This paper cites Springer Series in Statistics.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Springer Series in Statistics

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 3af9d204-f529-4344-913c-c64b882e1e79 · outbound

This paper cites Financial Time Series Fore- casting with the Deep Learning Ensemble Model.Mathematics, 11(4), 2023.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Financial Time Series Fore- casting with the Deep Learning Ensemble Model.Mathematics, 11(4), 2023

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 89564811-ba72-458e-9c46-aafa89943eb5 · outbound

This paper cites R package version 3.2.0.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 3.2.0

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation c33c1f62-1276-47e1-bdfd-95a6d6ce60cf · outbound

This paper cites Evaluating probabilistic forecasts with scoringRules.Journal of Statistical Software, 90(12):1–37, 2019.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Evaluating probabilistic forecasts with scoringRules.Journal of Statistical Software, 90(12):1–37, 2019

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 6c46faaf-f646-4d31-aa8c-33f08cc3f671 · outbound

This paper cites Guerra, Sophie A.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Guerra, Sophie A

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 329c746e-bd68-45b7-b647-ac3c7e5baa61 · outbound

This paper cites Co- ordinating collaborative infectious disease modeling projects with the hubverse.medRxiv, 2025.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Co- ordinating collaborative infectious disease modeling projects with the hubverse.medRxiv, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 02967443-bd41-440c-b0e2-b5b9ea40b311 · outbound

This paper cites Ray, and Nicholas G.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Ray, and Nicholas G

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 60535017-1831-43a8-8f82-ce9fa46d5a9a · outbound

This paper cites R package version 0.6.0.9000, commit 71964f7cd6f79e48f3038952fed8f742a7fe6a5c.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 0.6.0.9000, commit 71964f7cd6f79e48f3038952fed8f742a7fe6a5c

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation f75e9be4-2a84-4ac4-9274-f1986fcacce6 · outbound

This paper cites Building Predictive Models in R Using the caret Package.Journal of Statistical Software, 28(5):1–26, 2008.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Building Predictive Models in R Using the caret Package.Journal of Statistical Software, 28(5):1–26, 2008

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 9f2f3a8e-29c4-4bd1-8c07-098db701e71b · outbound

This paper cites Classification and Regression by randomForest.R News, 2(3):18–22, 2002.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Classification and Regression by randomForest.R News, 2(3):18–22, 2002

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation d741ee01-4c1d-4952-916b-c13d266bd9e0 · outbound

This paper cites an unresolved cited work.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b8478e5-c03c-4d0f-8077-f35a4fcd4cb0 · outbound

This paper cites PostForecasts.

modelimportance: An R package for evaluating model importance within a multi-model ensemble PostForecasts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 576baaac-6879-48ad-a51f-e3758cc7f8b6 · outbound

This paper cites From local explanations to global understanding with explainable AI for trees.Nature machine intelligence, 2(1):56–67, 2020.

modelimportance: An R package for evaluating model importance within a multi-model ensemble From local explanations to global understanding with explainable AI for trees.Nature machine intelligence, 2(1):56–67, 2020

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation ceb21735-96a4-4c6c-9d22-ca286bad8b59 · outbound

This paper cites A unified approach to interpreting model predictions.Advances in neural information processing systems, 30, 2017.

modelimportance: An R package for evaluating model importance within a multi-model ensemble A unified approach to interpreting model predictions.Advances in neural information processing systems, 30, 2017

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 3538b2de-de6a-4dac-b4af-f8e216fcfd33 · outbound

This paper cites Lutz, Mimi P.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Lutz, Mimi P

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 173b3200-397c-40d9-8950-f003f8230883 · outbound

This paper cites R package version 0.4.0, https://github.com/tidyverts/fable.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 0.4.0, https://github.com/tidyverts/fable

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation ee9081a0-90be-41cb-adfc-799da1cee8ac · outbound

This paper cites Air: An r formatter and language server, 2025.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Air: An r formatter and language server, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 013a40a3-01f6-46f8-8197-f8907cd1bc39 · outbound

This paper cites Ray and Nicholas G.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Ray and Nicholas G

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation f53fea5f-000b-40b5-8205-cd109b30ff9e · outbound

This paper cites R package version 0.1.0.9000, commit df75591bff3d68c3ecb1cad4798b1334230203f7.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 0.1.0.9000, commit df75591bff3d68c3ecb1cad4798b1334230203f7

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation ad761663-d523-483b-884f-5f836abf9d73 · outbound

This paper cites hubEvals: Basic tools for scoring hubverse forecasts, 2025.

modelimportance: An R package for evaluating model importance within a multi-model ensemble hubEvals: Basic tools for scoring hubverse forecasts, 2025

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 9a19658c-eca5-4464-96f4-0b6736555147 · outbound

This paper cites Reich, Craig J.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Reich, Craig J

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 81928c8f-62a6-4185-9bb0-84e0f631beb1 · outbound

This paper cites R package version 2.2.2.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 2.2.2

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation f2e66ffc-4d31-45de-805a-6ffe0283f6f1 · outbound

This paper cites Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation c3cd2a69-4881-4583-96cc-a5eec6d28c00 · outbound

This paper cites R package version 1.0.0.9000, commit ca66c89340933124618aad8d100bfddd89637b7d.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 1.0.0.9000, commit ca66c89340933124618aad8d100bfddd89637b7d

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 6eac5ec2-3093-48b7-88dd-f31fbddae436 · outbound

This paper cites A value for n-person games.Contribution to the Theory of Games, 2, 1953.

modelimportance: An R package for evaluating model importance within a multi-model ensemble A value for n-person games.Contribution to the Theory of Games, 2, 1953

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation f3012fd0-5058-4865-848b-640e4c2a635b · outbound

This paper cites A new ensemble deep learning approach for exchange rates forecasting and trading.Advanced Engineering Informatics, 46:101160, 2020.

modelimportance: An R package for evaluating model importance within a multi-model ensemble A new ensemble deep learning approach for exchange rates forecasting and trading.Advanced Engineering Informatics, 46:101160, 2020

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 2500d04f-3c92-4348-bbaf-123308ab006e · outbound

This paper cites an unresolved cited work.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation b60c837e-fc98-4df2-9734-860dd0710e5f · outbound

This paper cites an unresolved cited work.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Unresolved cited work

Reference 40

Resolution: parse uncertain; no resolver link, observed 2026-06-28T23:27:04.098165Z

Source-reported events for the cited work

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Observation 03bacee3-1e10-405f-af34-1f5f401796f1 · outbound

This paper cites The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.Epidemics, 22:13–21, 2018.

modelimportance: An R package for evaluating model importance within a multi-model ensemble The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.Epidemics, 22:13–21, 2018

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 4cc86fe1-f21a-4aad-af12-786d8bd3e29a · outbound

This paper cites testthat: Get started with testing.The R Journal, 3:5–10, 2011.

modelimportance: An R package for evaluating model importance within a multi-model ensemble testthat: Get started with testing.The R Journal, 3:5–10, 2011

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation ae2ff629-dc11-4b86-82d8-5672e857b725 · outbound

This paper cites Springer-Verlag New York, 2016.

modelimportance: An R package for evaluating model importance within a multi-model ensemble Springer-Verlag New York, 2016

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation c83bc2dc-7cfc-44a5-beca-f5817e854837 · outbound

This paper cites R package version 1.51.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 1.51

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation d7d550d2-0198-44a6-8f7d-1f3c69fe5ab1 · outbound

This paper cites R package version 1.1.3.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 1.1.3

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Observation 9d15f1ad-d662-435c-8696-dde772bf0b08 · outbound

This paper cites R package version 1.4.0.

modelimportance: An R package for evaluating model importance within a multi-model ensemble R package version 1.4.0

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T23:27:04.098165Z

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Pith citing papers

No inbound Pith citation observations are available.