Paper Citation Record · LEDGER

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2411.14106.

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

pith.paper-citation-record.v1
2411.14106 v1

Coverage vector

measured 48 of 48 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T15:36:06.086809Z

measured 48 of 48 standing notices

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 36b8ea2c-6273-4203-8f1b-23cae8bf98e3 · outbound

This paper cites , Pritchard, M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Pritchard, M

Reference 1

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Observation 14d8ef05-dccd-4824-9cbd-417a3468237f · outbound

This paper cites \ Zanna, L.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Zanna, L

Reference 2

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Observation 47599ee3-fdc4-4f3a-806f-86a7d7df7151 · outbound

This paper cites \ Bretherton, C S.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Bretherton, C S

Reference 3

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Observation 10aa83cf-10e3-4b84-9b49-6d83b8147636 · outbound

This paper cites Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 4

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Observation 4b6ec908-b780-4cbe-9f93-e92a0f6e5202 · outbound

This paper cites , Rubanova, Y.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Rubanova, Y

Reference 5

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Observation 80ac10ac-2cb9-4068-82ac-19cb4f690249 · outbound

This paper cites , Barnes, E A.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Barnes, E A

Reference 6

Resolution: verified exact; doi, observed 2026-08-12T15:36:06.470166Z

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Observation d6de99eb-af6e-426d-ba65-9023b728a9d8 · outbound

This paper cites , Campin, J M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Campin, J M

Reference 7

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Observation 57edb0c3-ba8b-4697-b552-8ee9749cdcf3 · outbound

This paper cites , Le Sommer , J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Le Sommer , J

Reference 8

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Observation fccf32fb-acd7-4640-8575-15da518e550a · outbound

This paper cites , White, A.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , White, A

Reference 9

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Observation 53c3dd1b-cca1-46b6-9b4f-47922665fc8c · outbound

This paper cites , Dzamba, M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Dzamba, M

Reference 10

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Observation 687b064a-4fdb-45aa-99e2-c741ca60c854 · outbound

This paper cites \ Zanna, L.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Zanna, L

Reference 11

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Observation 09940c62-f1db-492f-81e9-580b76e5e484 · outbound

This paper cites APACrefauthors \ 2003.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2003

Reference 12

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Observation c64b009a-f8c7-4f4f-a0d3-98cb25399ce4 · outbound

This paper cites APACrefauthors \ 2013.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2013

Reference 13

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Observation 5c2f8734-ae45-4038-aa3d-f6395621e755 · outbound

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Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Unresolved cited work

Reference 14

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Observation bf4cfe70-4bbf-4b04-b615-ef3eabfb8487 · outbound

This paper cites , Fukumori, I.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Fukumori, I

Reference 15

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Observation 8ac666f6-2529-4b12-a3f3-cfd21432192d · outbound

This paper cites , Law, K J H.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Law, K J H

Reference 16

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Observation 350c3398-3d59-4bbb-9568-46ae23cf9006 · outbound

This paper cites APACrefauthors \ 2021.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2021

Reference 17

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Observation 8e88db66-8d45-4317-abbe-19b833dc75dd · outbound

This paper cites \ Held, I M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Held, I M

Reference 18

Resolution: verified exact; doi, observed 2026-08-12T15:36:06.377719Z

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Observation 25f0505e-6cbc-4a65-a6af-f86edddeeb1b · outbound

This paper cites APACrefauthors \ 2002.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2002

Reference 19

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Observation 03fe09af-9aa8-44ac-887e-482ab10d61a4 · outbound

This paper cites , Mustafa, M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Mustafa, M

Reference 20

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Observation a7abaed7-21ac-41b6-9f61-4d10bcaa64bf · outbound

This paper cites Equinox: neural networks in JAX via callable PyTrees and filtered transformations.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Equinox: neural networks in JAX via callable PyTrees and filtered transformations

Reference 21

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This paper cites , Yuval, J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Yuval, J

Reference 22

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This paper cites \ Stuart, A M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Stuart, A M

Reference 23

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Observation 20a0dc86-1c1c-4cbe-a64a-bd292d22f67b · outbound

This paper cites , Thiffeault, J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Thiffeault, J

Reference 24

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Observation ac2edac7-53e9-49ba-9ebd-ea7ed8f080cb · outbound

This paper cites , Jones, R.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Jones, R

Reference 25

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Observation 81138ed4-5660-4b25-995a-7a535a986797 · outbound

This paper cites Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 26

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This paper cites , Chen, L W.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Chen, L W

Reference 27

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This paper cites , Christopoulos, C.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Christopoulos, C

Reference 28

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Observation 3261baee-4880-415e-93bc-2ad3fdde03b8 · outbound

This paper cites , Goldberg, D N.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Goldberg, D N

Reference 29

Resolution: verified exact; doi, observed 2026-08-12T15:36:06.274872Z

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Observation 73eb4c9b-f867-43ed-9a0e-5527d7a67679 · outbound

This paper cites , Pritchard, M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Pritchard, M

Reference 30

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Observation 884e0940-3b03-418b-9452-f0910eedaaa7 · outbound

This paper cites APACrefauthors \ 1971.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 1971

Reference 31

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Observation b0fa9967-c100-4789-b7cc-da1f533b11f2 · outbound

This paper cites APACrefauthors \ 2024.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2024

Reference 32

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Observation 283ba0e9-e921-4672-9aa3-6946fbc37082 · outbound

This paper cites , Zanna, L.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Zanna, L

Reference 33

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Observation 5597c223-7351-42f2-a1c1-d2f1d7591cd7 · outbound

This paper cites Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems

Reference 34

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Observation 737ad01f-52ba-4d48-9cb6-1dbe1a6d71e5 · outbound

This paper cites , Zanna, L.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Zanna, L

Reference 35

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Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Unresolved cited work

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Observation 8275d699-ea37-4236-af9d-c4efa6fed6f2 · outbound

This paper cites APACrefauthors \ 1980.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 1980

Reference 37

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Observation 4c4a96ff-3d82-48c5-ab82-afa16426739c · outbound

This paper cites , Reichl, B G.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Reichl, B G

Reference 38

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This paper cites , Bolibar, J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Bolibar, J

Reference 39

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This paper cites , Stuart, A M.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Stuart, A M

Reference 40

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Observation 5948be14-03eb-4477-b1a7-596d38bb665b · outbound

This paper cites , Chekroun, M D.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Chekroun, M D

Reference 41

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Observation 7cdbf7de-9d97-478d-af5d-793027465db2 · outbound

This paper cites , Hassanzadeh, P.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Hassanzadeh, P

Reference 42

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Observation 6f651443-2b9f-41ad-a438-a41b384033b5 · outbound

This paper cites APACrefauthors \ 2012.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2012

Reference 43

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Observation e3ffaf6d-3528-4394-bcda-e921f559e15b · outbound

This paper cites APACrefauthors \ 2008.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence APACrefauthors \ 2008

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:36:06.960802Z

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Observation 77c4a335-f9fb-44a1-8731-a489ecbd21e8 · outbound

This paper cites \ Mak, J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Mak, J

Reference 45

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Observation 4594f2a3-549c-4da7-8027-b3d8e208279e · outbound

This paper cites , Mak, J.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence , Mak, J

Reference 46

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Observation 9c05f76c-0ba1-4404-8ba7-1c5ef8c9a4bc · outbound

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Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ O'Gorman , P A

Reference 47

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Observation 4df07341-6936-4725-ab50-e6f66f58b45e · outbound

This paper cites \ Bolton, T.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence \ Bolton, T

Reference 48

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Pith citing papers

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