Paper Citation Record · LEDGER

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2603.11229.

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

pith.paper-citation-record.v1
2603.11229 v2

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T23:06:01.458695Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

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

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation 28c0f251-9b5a-47b3-a5fc-246fe58d8b40 · outbound

This paper cites Barnes, Randal J.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Barnes, Randal J

Reference 1

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Observation 5d2854a8-5fc8-4651-9272-39bf8411390a · outbound

This paper cites Review of artifical intelligence application in typhoon forecasting.Tropical Cyclone Research and Review, 14, 2025.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Review of artifical intelligence application in typhoon forecasting.Tropical Cyclone Research and Review, 14, 2025

Reference 2

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Observation d02661ed-55dd-45bc-815c-7c5540f7f998 · outbound

This paper cites om, Ulf Johansson, and T uwe L.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps om, Ulf Johansson, and T uwe L

Reference 3

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Observation 01b53412-55fb-4c68-bf06-468f882ba222 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 4

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Observation b943f3b6-46bc-4d6f-aa58-1df69bd5d0ea · outbound

This paper cites Ships predictor files, 2023.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Ships predictor files, 2023

Reference 5

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Observation 07464ec0-cc41-4641-96a7-6fd2be44490d · outbound

This paper cites National hurricane center forecast verification, 2025.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps National hurricane center forecast verification, 2025

Reference 6

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Observation cfe44cb2-b318-4fef-825b-10a3b48bc2e7 · outbound

This paper cites Nhc data archive, 2025.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Nhc data archive, 2025

Reference 7

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Observation 07478f45-5d31-401f-ba40-405970155269 · outbound

This paper cites Distributional conformal prediction.Proceedings of the National Academy of Sciences, 118(48):e2107794118, 2021.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Distributional conformal prediction.Proceedings of the National Academy of Sciences, 118(48):e2107794118, 2021

Reference 8

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Observation d6045642-a0d3-48fd-bd99-9c422009e498 · outbound

This paper cites Beyond pinball loss: Quantile methods for calibrated uncertainty quantification.Advances in Neural Information Processing Systems, 34:10971–10984, 2021.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Beyond pinball loss: Quantile methods for calibrated uncertainty quantification.Advances in Neural Information Processing Systems, 34:10971–10984, 2021

Reference 9

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Observation a7978be7-3858-40e4-8bd0-8d33128f0ea5 · outbound

This paper cites A statistical hurricane intensity prediction scheme (ships) for the atlantic basin.Weather and Forecasting, 9, 1994.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps A statistical hurricane intensity prediction scheme (ships) for the atlantic basin.Weather and Forecasting, 9, 1994

Reference 10

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Observation 5a40dc77-3117-42c9-be65-f2b176987ead · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 11

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Observation f2bb1bc7-03d4-40f3-92b9-63315a33c836 · outbound

This paper cites Smola, and Ryan J.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Smola, and Ryan J

Reference 12

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Observation 3ef6d4a1-27b0-427e-88d8-fb638a0acbb3 · outbound

This paper cites Improving conditional coverage via orthogonal quantile regression.Advances in neural information processing systems, 34: 2060–2071, 2021.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Improving conditional coverage via orthogonal quantile regression.Advances in neural information processing systems, 34: 2060–2071, 2021

Reference 13

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Observation 3b775a51-d20b-439e-91b6-97c41ff68801 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 14

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Observation eefc8b9e-3e04-4354-a69d-2af28bf8b20e · outbound

This paper cites Comparing density forecasts using threshold- and quantile-weighted scoring rules.Journal of Business and Economic Statistics, 9, 2011.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Comparing density forecasts using threshold- and quantile-weighted scoring rules.Journal of Business and Economic Statistics, 9, 2011

Reference 15

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Observation 8d3cf8e4-2dce-446d-adb3-1aaa9856c48a · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 16

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Observation fd57b3e3-6e6c-4946-bfa3-250325b7ba61 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 17

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Observation 2ecbcbcd-6a9d-423d-bcf0-5f366da46716 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 18

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Observation f4aeb0ff-3571-48e9-abc6-c1123519038d · outbound

This paper cites Flow-based conformal predictive distributions.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Flow-based conformal predictive distributions

Reference 19

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Observation a357adcc-bd8c-433d-ada4-82db18752a98 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 20

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Observation 9fffa9c7-c894-4755-b139-676edf75aa17 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 21

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Observation d08cabeb-b936-411d-8ad3-63da288c25d9 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T23:06:01.458695Z

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Observation 16565804-8505-42d3-8711-c7b05bd1acd1 · outbound

This paper cites Jones and Arthur Pewsey.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Jones and Arthur Pewsey

Reference 23

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Observation 5b4bd0dc-5a93-43f6-a9cd-5f59475d03d1 · outbound

This paper cites Optimal mass transport: Signal processing and machine-learning applications.IEEE signal processing magazine, 34(4):43–59, 2017.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Optimal mass transport: Signal processing and machine-learning applications.IEEE signal processing magazine, 34(4):43–59, 2017

Reference 24

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Observation 33fd78c8-1c23-4d2e-b683-cb5593b46685 · outbound

This paper cites Kumaraswamy.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Kumaraswamy

Reference 25

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Observation 7fcc3cf2-3946-4105-9c2f-a958e3eb185c · outbound

This paper cites Laio and S.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Laio and S

Reference 26

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Observation a2d05e17-0d7c-4e83-8461-e82a9a39ad4d · outbound

This paper cites Tibshirani, and Larry Wasserman.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Tibshirani, and Larry Wasserman

Reference 27

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Observation fedecff0-bb3e-49da-976a-76be877d889e · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.ACM Computing Surveys, 55, 2023.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.ACM Computing Surveys, 55, 2023

Reference 28

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Observation b9e57fc3-3181-40b7-8f46-ae16b65f97d9 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 29

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Observation e4f1ec68-f4d7-4f10-9bfa-3e62cb79de2e · outbound

This paper cites Optimal transport for applied mathematicians.Birkäuser, NY, 55(58-63):94, 2015.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Optimal transport for applied mathematicians.Birkäuser, NY, 55(58-63):94, 2015

Reference 30

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Observation 15c16aa0-90b6-49fb-aa37-b5c9885897ad · outbound

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Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 31

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Observation b28b84c9-4a4a-48c6-a899-55cf3bcf238c · outbound

This paper cites Trabing and Michael M.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Trabing and Michael M

Reference 32

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Observation 69e85aa4-7d66-47bd-ad35-b652bb5cbbb7 · outbound

This paper cites American Mathematical Soc., 2021.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps American Mathematical Soc., 2021

Reference 33

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Observation 58a4ecd2-576b-4cb8-b465-32a9f4452d27 · outbound

This paper cites Springer, New Y ork, 2005.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Springer, New Y ork, 2005

Reference 34

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Observation c118327a-8ef6-4ac7-9930-3e0fc510f4cd · outbound

This paper cites Unconstrained monotonic neural networks.Ad- vances in Neural Information Processing Systems, 2019.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unconstrained monotonic neural networks.Ad- vances in Neural Information Processing Systems, 2019

Reference 35

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Observation 835223e5-b928-4fd8-a8c6-7e3df1382139 · outbound

This paper cites an unresolved cited work.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Unresolved cited work

Reference 36

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Observation c79c50d0-fa7d-46f7-8ed5-8dfe22d79d6c · outbound

This paper cites Proba- bilistic inference in language models via twisted sequential monte carlo.Proceedings of Machine Learning Research, 235, 2024.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Proba- bilistic inference in language models via twisted sequential monte carlo.Proceedings of Machine Learning Research, 235, 2024

Reference 37

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Observation 96b1c1bc-0854-4f1e-93ba-eade1c0a8588 · outbound

This paper cites Research on a deep ensemble learning model for the ultra-short term probabilistic prediction of wind power.

Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps Research on a deep ensemble learning model for the ultra-short term probabilistic prediction of wind power

Reference 38

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