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Paper Citation Record · LEDGER

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems

As of 16 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2412.14318.

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

pith.paper-citation-record.v1
2412.14318 v1

Coverage vector

measured 85 of 85 reference resolution

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measured 85 of 85 standing notices

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

85 of 85 outbound references displayed

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External citation measurements

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Outbound references

Observation 3e0749ea-dd90-46e5-89fb-b9cf1db8fd05 · outbound

This paper cites Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet

Reference 1

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Observation 94ad55f2-b1bb-487d-b530-e5b896fbf489 · outbound

This paper cites Al-Ghattas, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Al-Ghattas, J

Reference 2

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Observation d74cb6c8-64e8-4c1d-8c75-6b3aa429f3d5 · outbound

This paper cites Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters

Reference 3

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This paper cites Optimal Estimation of Structured Covariance Operators.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Optimal Estimation of Structured Covariance Operators

Reference 4

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Observation 92d8ef63-9b16-43aa-a1b7-aaaef7101e6d · outbound

This paper cites Al-Ghattas and D.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Al-Ghattas and D

Reference 5

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 6

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Observation 244bd08d-1fc9-410c-becc-47890f2131e6 · outbound

This paper cites Arcucci, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Arcucci, J

Reference 7

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Observation c3aa5dbb-84d4-40af-8b6a-287a425d81f9 · outbound

This paper cites Azouani, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Azouani, E

Reference 8

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Observation 2c300564-c252-44e3-84a7-541d87329e9f · outbound

This paper cites Machine Learning for Inverse Problems and Data Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Machine Learning for Inverse Problems and Data Assimilation

Reference 9

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Observation 01378ef5-cddd-46e1-8a3f-bfb3a08fdb01 · outbound

This paper cites Bessaih, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bessaih, E

Reference 10

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This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 11

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 12

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Observation bf71937b-0626-43dc-a785-6d2e43ef7b25 · outbound

This paper cites A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations

Reference 13

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This paper cites Bocquet , Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation, Frontiers in Applied Mathematics and Statistics, 9 (2023), p.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bocquet , Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation, Frontiers in Applied Mathematics and Statistics, 9 (2023), p

Reference 14

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This paper cites Bocquet, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bocquet, J

Reference 15

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Observation 3e53986b-1e7c-40ca-abee-663ef6995ef3 · outbound

This paper cites Brajard, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Brajard, A

Reference 16

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Branicki, A

Reference 17

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 18

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Observation 88e985a4-f69c-48d5-b720-c70f288a266c · outbound

This paper cites Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting

Reference 19

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Observation fe420d9e-2d07-4350-b83e-1386a2f35bf2 · outbound

This paper cites Ensemble Kalman Methods: A Mean Field Perspective.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ensemble Kalman Methods: A Mean Field Perspective

Reference 20

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This paper cites Carlson, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carlson, A

Reference 21

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carlson, A

Reference 22

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This paper cites Carrillo, F.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carrillo, F

Reference 23

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This paper cites Chattopadhyay, M.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chattopadhyay, M

Reference 24

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chattopadhyay, E

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

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This paper cites Chen , Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models, Springer Nature, 2023.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chen , Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models, Springer Nature, 2023

Reference 27

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chen and Y

Reference 28

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 29

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Cheng, C

Reference 30

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ding and Q

Reference 31

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ding and Q

Reference 32

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 33

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

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This paper cites Evensen, F.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Evensen, F

Reference 35

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This paper cites F archi, P.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems F archi, P

Reference 36

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Observation 655ce7cf-ab94-4b34-8066-c7f84c2802cc · outbound

This paper cites Foias, C.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Foias, C

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 40bbdf8b-1425-42b4-ab13-a7b8996025e5 · outbound

This paper cites Furrer and T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Furrer and T

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 85bd3832-0662-4c9f-9edc-aabd3059a794 · outbound

This paper cites González-Tokman and B.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems González-Tokman and B

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:28:06.435749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3ca1fc4d-3b05-4876-8f27-5030b2d28c23 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.420416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc3358ed-616f-405f-8d5a-096a06094733 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 41

Resolution
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raw_fallback, observed 2026-08-11T12:28:06.404865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d2276441-db2e-4ae7-a029-028ed83ad8bc · outbound

This paper cites Hamilton, T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hamilton, T

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 98ac7000-06f8-4f41-9c3b-5055e1ad6504 · outbound

This paper cites Hatfield, M.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hatfield, M

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b1d02641-247b-4d05-8229-eab741538695 · outbound

This paper cites Hayden, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hayden, E

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1893181f-4afb-4eb9-a6c8-a64ec5f2db65 · outbound

This paper cites Herty and G.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Herty and G

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 87e2e15e-9d92-47c7-8843-56066f576700 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.328472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aea32fb6-ad93-4f4b-81f1-9bdc93e732b0 · outbound

This paper cites Jiang, P.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Jiang, P

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a14588ac-fbff-4f99-aae0-0fc84039c3aa · outbound

This paper cites Kalnay, Atmospheric Modeling, Data Assimilation and Predictability, vol.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kalnay, Atmospheric Modeling, Data Assimilation and Predictability, vol

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 88994fbb-a850-4802-bfc8-60ef9a5ef90c · outbound

This paper cites Katzfuss, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Katzfuss, J

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7cd5a9b6-b6c1-40c1-a349-e16829c26c16 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 50

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bb6f646e-67fd-4454-acfb-473b41fc1ff9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Adam: A Method for Stochastic Optimization

Reference 51

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78eb6786-1325-4506-8302-d287e1bc5d30 · outbound

This paper cites Kotsuki, K.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kotsuki, K

Reference 52

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 013e3156-0f2a-4334-960e-87abf2edf014 · outbound

This paper cites Krasnopolsky and E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Krasnopolsky and E

Reference 53

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 835d6d33-4369-4799-baec-8a3837a1a6b6 · outbound

This paper cites Kwiatkowski and J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kwiatkowski and J

Reference 54

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a7c1f714-b0e5-4196-bff6-87e9b1646bc7 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems GraphCast: Learning skillful medium-range global weather forecasting

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:04.827446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49d5d0cb-6c78-4bec-9294-7279b4a7afec · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 56

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 240c9d8d-ddab-4009-8c2c-f113cc5dbfd0 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.205762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ebd98d82-2dc2-4bc7-a5df-2256a81cec5f · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.190422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0272d85b-c599-408d-873a-2fa45b311f59 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.175143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1fe388fc-02a2-47c7-a1f0-a36e62bfa269 · outbound

This paper cites Le Gland, V.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Le Gland, V

Reference 60

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6e7d5485-f33d-4f99-bf11-a1698c7013bd · outbound

This paper cites Mandel, L.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Mandel, L

Reference 61

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 432defd7-adc2-44ba-ba94-5abb4d979c24 · outbound

This paper cites Maulik, V.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Maulik, V

Reference 62

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4095d7ad-5803-476a-84b9-8493245ece0b · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.114200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bda4da04-c40c-4382-b4f4-4a3c90bc7d91 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.098932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b63e8ac4-ad87-4bca-98e5-ee8e6bdec6fb · outbound

This paper cites Mourtada, Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices, The Annals of Statistics, 50 (2022), pp.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Mourtada, Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices, The Annals of Statistics, 50 (2022), pp

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:28:06.083824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2b6ee8d3-90ff-440e-af99-86edd54dbaad · outbound

This paper cites EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems EM-like Learning Chaotic Dynamics from Noisy and Partial Observations

Reference 66

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4192888f-4cc8-4461-ad5b-1e3f57adf655 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems ClimaX: A foundation model for weather and climate

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:04.884277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 435da7d1-ed99-46e2-95cc-53192a72a6a0 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.067851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4f2b39aa-220c-49ce-bca6-aea6e5d95482 · outbound

This paper cites When are dynamical systems learned from time series data statistically accurate?.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems When are dynamical systems learned from time series data statistically accurate?

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:04.893494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:28:04.893494Z digest=sha256:df9748435acc2d2a6668385c13279ebc8bde1d9197bf300ab663513ceb351baa

Observation 5fb48bab-9c86-4d18-9104-8a008d337dcc · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:04.898234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:28:04.898234Z digest=sha256:fb20704d64b0c5bf8b55327b1358c64bfd311cf84b635c86876be144a79cf9ce

Observation 02b2ea67-005a-4d24-a604-a7b16a4dfec3 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.052580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6c2d6c36-8081-4fe4-a37f-20abbbe78f1f · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.037165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 08d48a7b-f195-4905-ba06-fab7223c29d1 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:28:06.022253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c0ee0b04-1f0b-4199-b8d6-2f7de9388225 · outbound

This paper cites Sanz-Alonso, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso, A

Reference 74

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ae3e9b31-77ce-4416-b4c5-715468e86a8f · outbound

This paper cites Sanz-Alonso and A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso and A

Reference 75

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Observation a68f2cb4-d317-44dd-bb1e-a2c3bc175c58 · outbound

This paper cites Sanz-Alonso and N.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso and N

Reference 76

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Observation 1baca5d5-00b4-476a-a656-05e8cec5632e · outbound

This paper cites Stuart and A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Stuart and A

Reference 77

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Observation 7277ac64-d7c0-4c7d-b80f-ab8d95532fde · outbound

This paper cites Takeda and T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Takeda and T

Reference 78

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 79

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Observation 11fed929-2eff-4b64-a4b6-4cf5429f03a5 · outbound

This paper cites Temam, Navier–Stokes Equations and Nonlinear Functional Analysis, SIAM, 1995.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Temam, Navier–Stokes Equations and Nonlinear Functional Analysis, SIAM, 1995

Reference 80

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Observation e05be785-be43-4537-88ab-2a54cf965a7a · outbound

This paper cites Exploring the Use of Machine Learning Weather Models in Data Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Exploring the Use of Machine Learning Weather Models in Data Assimilation

Reference 81

Resolution
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This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 82

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Observation 289edd03-4261-4fcf-9e3a-8152d67cd986 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 83

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Observation ab89583d-4434-4369-ab38-1932ec01882e · outbound

This paper cites Tsuyuki and R.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Tsuyuki and R

Reference 84

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Observation 12850eef-29c6-496d-a9c3-87320b21bffd · outbound

This paper cites FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.