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Paper Citation Record · LEDGER

Extreme Event Aware ($\eta$-) Learning

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2510.19161.

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

pith.paper-citation-record.v1
2510.19161 v2

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measured 40 of 40 reference resolution

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measured 42 of 42 standing notices

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:09:43.968802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:07.174101Z

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40 of 40 outbound references displayed

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Outbound references

Observation 0433fc86-f634-4134-a0f1-c9577847d2cd · outbound

This paper cites MIT press, 2024.

Extreme Event Aware ($\eta$-) Learning MIT press, 2024

Reference 1

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Observation d651cf22-5f00-4049-a69d-32767311999f · outbound

This paper cites an unresolved cited work.

Extreme Event Aware ($\eta$-) Learning Unresolved cited work

Reference 2

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Observation b8324774-c70d-4f3c-a145-88a6b3871323 · outbound

This paper cites Distribution tail structure and extreme value analysis of constrained piecewise linear oscillators.

Extreme Event Aware ($\eta$-) Learning Distribution tail structure and extreme value analysis of constrained piecewise linear oscillators

Reference 3

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Observation c1465b7b-33cd-4a95-ad2f-85487ae47e28 · outbound

This paper cites Bayesian optimization with output- weighted optimal sampling.Journal of Computational Physics, 425:109901, 2021.

Extreme Event Aware ($\eta$-) Learning Bayesian optimization with output- weighted optimal sampling.Journal of Computational Physics, 425:109901, 2021

Reference 4

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Observation 4c7b6bca-b16a-4109-b132-30caee51352f · outbound

This paper cites Statistical optimal transport.

Extreme Event Aware ($\eta$-) Learning Statistical optimal transport

Reference 5

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Observation cdd4dbfb-48b4-496c-b87a-9861fd6c21ca · outbound

This paper cites Springer, 2001.

Extreme Event Aware ($\eta$-) Learning Springer, 2001

Reference 6

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Observation 44bdac86-c29f-48cc-be56-7a5d3b475a2b · outbound

This paper cites Cousins and T.

Extreme Event Aware ($\eta$-) Learning Cousins and T

Reference 7

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Observation abea00dc-0e26-4a2f-8e1d-86ed0fc07fd2 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Ad- vances in neural information processing systems, 26, 2013.

Extreme Event Aware ($\eta$-) Learning Sinkhorn distances: Lightspeed computation of optimal transport.Ad- vances in neural information processing systems, 26, 2013

Reference 8

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Observation 1473e1a2-58b1-4495-be8d-2e8d549f95c8 · outbound

This paper cites Rogue waves and large deviations in deep sea.Proceedings of the National Academy of Sciences, 115(5):855– 860, 2018.

Extreme Event Aware ($\eta$-) Learning Rogue waves and large deviations in deep sea.Proceedings of the National Academy of Sciences, 115(5):855– 860, 2018

Reference 9

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Observation 94f37125-1e51-4cc5-a6ee-515a2d3d9a92 · outbound

This paper cites Asymptotic theory for the probability density functions in burgers turbulence.Physical Review Letters, 83(13):2572–2575, 1999.

Extreme Event Aware ($\eta$-) Learning Asymptotic theory for the probability density functions in burgers turbulence.Physical Review Letters, 83(13):2572–2575, 1999

Reference 10

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Observation bd9308e0-07e1-41ec-8650-2176a5c22d15 · outbound

This paper cites Transition-path theory and path-finding algorithms for the study of rare events.Annual review of physical chemistry, 61:391–420, jan 2010.

Extreme Event Aware ($\eta$-) Learning Transition-path theory and path-finding algorithms for the study of rare events.Annual review of physical chemistry, 61:391–420, jan 2010

Reference 11

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Observation e49fa9c4-f130-4ae7-88b5-cda6d7573e1f · outbound

This paper cites John Wiley & Sons, 1999.

Extreme Event Aware ($\eta$-) Learning John Wiley & Sons, 1999

Reference 12

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Observation 27486d98-4095-4eb2-9b73-b6ce8436efb1 · outbound

This paper cites Cambridge University Press, 2011.

Extreme Event Aware ($\eta$-) Learning Cambridge University Press, 2011

Reference 13

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Observation ae13834b-1f88-4da1-91c4-5505a5c54a09 · outbound

This paper cites On choosing and bounding probability metrics.

Extreme Event Aware ($\eta$-) Learning On choosing and bounding probability metrics

Reference 14

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Observation b601bd11-cc90-4bbd-8ca6-c300c6757b70 · outbound

This paper cites MIT press, 2016.

Extreme Event Aware ($\eta$-) Learning MIT press, 2016

Reference 15

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Observation 58833dc8-4721-46bc-8ff4-bfcf5f1ed0f4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Extreme Event Aware ($\eta$-) Learning Adam: A Method for Stochastic Optimization

Reference 16

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Observation a3e01529-a75b-41eb-a96b-4904852cfef1 · outbound

This paper cites A Tutorial on Energy-Based Learning.

Extreme Event Aware ($\eta$-) Learning A Tutorial on Energy-Based Learning

Reference 17

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Observation 4b3339f3-5143-4618-a956-b0264e9897b5 · outbound

This paper cites Flow Matching for Generative Modeling.

Extreme Event Aware ($\eta$-) Learning Flow Matching for Generative Modeling

Reference 18

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Observation 70798070-5b09-433d-84dd-3b0a29080b69 · outbound

This paper cites A one-dimensional model for dispersive wave turbulence.Journal of Nonlinear Science, 7:9–44, 1997.

Extreme Event Aware ($\eta$-) Learning A one-dimensional model for dispersive wave turbulence.Journal of Nonlinear Science, 7:9–44, 1997

Reference 19

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Observation fa6094c7-5fdc-4edb-a3db-44efbbd2a2a6 · outbound

This paper cites Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 115(44):11138–11143, 2018.

Extreme Event Aware ($\eta$-) Learning Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 115(44):11138–11143, 2018

Reference 20

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Observation 0b826934-26e1-4b07-8325-fb43856d4bfd · outbound

This paper cites Era5-land: A state-of-the-art global reanalysis dataset for land applications.Earth system science data, 13(9):4349–4383, 2021.

Extreme Event Aware ($\eta$-) Learning Era5-land: A state-of-the-art global reanalysis dataset for land applications.Earth system science data, 13(9):4349–4383, 2021

Reference 21

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Observation 276c3053-b87e-4822-955b-da16280a66a9 · outbound

This paper cites Univariate stable distributions.Springer Series in Operations Research and Financial Engineering, 10:978–3, 2020.

Extreme Event Aware ($\eta$-) Learning Univariate stable distributions.Springer Series in Operations Research and Financial Engineering, 10:978–3, 2020

Reference 22

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Observation 79093cfd-86eb-4ba9-b965-e10d0a67ebb1 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural infor- mation processing systems, 32, 2019.

Extreme Event Aware ($\eta$-) Learning Pytorch: An imperative style, high-performance deep learning library.Advances in neural infor- mation processing systems, 32, 2019

Reference 23

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Observation 91882142-876c-4e0b-a612-3b1a65c186c8 · outbound

This paper cites Discovering and forecasting extreme events via active learning in neural operators.Na- ture Computational Science, 2(12):823–833, 2022.

Extreme Event Aware ($\eta$-) Learning Discovering and forecasting extreme events via active learning in neural operators.Na- ture Computational Science, 2(12):823–833, 2022

Reference 24

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Observation c6f9aa32-da5b-4c7f-bb77-77c645cc97ab · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Extreme Event Aware ($\eta$-) Learning U-net: Convolutional networks for biomedical image segmentation

Reference 25

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Observation 5991903a-47bc-4260-8101-ee8700669f3d · outbound

This paper cites The Wasserstein distances between pushed-forward measures with ap- plications to uncertainty quantification.Communications in Mathematical Sciences, 18(3):707–724, June 2020.

Extreme Event Aware ($\eta$-) Learning The Wasserstein distances between pushed-forward measures with ap- plications to uncertainty quantification.Communications in Mathematical Sciences, 18(3):707–724, June 2020

Reference 26

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This paper cites Statistics of extreme events in fluid flows and waves.Annual Review of Fluid Mechanics, 53(1):85–111, 2021.

Extreme Event Aware ($\eta$-) Learning Statistics of extreme events in fluid flows and waves.Annual Review of Fluid Mechanics, 53(1):85–111, 2021

Reference 27

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Observation 150cfe59-8df2-48dc-b403-ba4ed71e9633 · outbound

This paper cites an unresolved cited work.

Extreme Event Aware ($\eta$-) Learning Unresolved cited work

Reference 28

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Observation 45fe4304-a229-4672-8826-2b8c3492facc · outbound

This paper cites Weather and climate extreme events in a changing climate.Climate Change 2021: The Physical Science Basis.

Extreme Event Aware ($\eta$-) Learning Weather and climate extreme events in a changing climate.Climate Change 2021: The Physical Science Basis

Reference 29

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Observation ef6e0391-0e6e-4469-ad09-e7e08a91dc3d · outbound

This paper cites Sobczyk.Stochastic Differential Equations.

Extreme Event Aware ($\eta$-) Learning Sobczyk.Stochastic Differential Equations

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Observation 5e72c939-3487-4b9b-9d08-c7821049309c · outbound

This paper cites Soong and M.

Extreme Event Aware ($\eta$-) Learning Soong and M

Reference 31

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Observation 314af4a9-4fc1-4aa6-a4ac-658d380188d6 · outbound

This paper cites A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data.

Extreme Event Aware ($\eta$-) Learning A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data

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Extreme Event Aware ($\eta$-) Learning Sullivan, M

Reference 33

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Extreme Event Aware ($\eta$-) Learning Unresolved cited work

Reference 34

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This paper cites Large deviation theory-based adaptive importance sampling for rare events in high dimensions.SIAM/ASA Journal on Uncertainty Quan- tification, 11(3):788–813, 2023.

Extreme Event Aware ($\eta$-) Learning Large deviation theory-based adaptive importance sampling for rare events in high dimensions.SIAM/ASA Journal on Uncertainty Quan- tification, 11(3):788–813, 2023

Reference 35

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This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J.

Extreme Event Aware ($\eta$-) Learning Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J

Reference 36

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Observation 082175af-5209-4468-913d-0413e5887b71 · outbound

This paper cites Practicalities and Algorithmic Details.

Extreme Event Aware ($\eta$-) Learning Practicalities and Algorithmic Details

Reference 37

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Extreme Event Aware ($\eta$-) Learning Unresolved cited work

Reference 38

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This paper cites The window sizeωin Algorithm 1 is selected to be 30, and we train the network for 150 epochs.

Extreme Event Aware ($\eta$-) Learning The window sizeωin Algorithm 1 is selected to be 30, and we train the network for 150 epochs

Reference 39

Resolution
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This paper cites an unresolved cited work.

Extreme Event Aware ($\eta$-) Learning Unresolved cited work

Reference 40

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Pith citing papers

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Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems cites this paper.

Mechanisms and Pathways of Extreme Events in Partially-Observed Stochastic Dynamical Systems Extreme Event Aware ($\eta$-) Learning

Reference 16

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Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections cites this paper.

Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections Extreme Event Aware ($\eta$-) Learning

Reference 22

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