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Paper Citation Record · LEDGER

Exploring the Use of Machine Learning Weather Models in Data Assimilation

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2411.14677.

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

pith.paper-citation-record.v1
2411.14677 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:04:46.205045Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:50:07.207864Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:16:45.857707Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 205caa35-7e29-47ac-be0f-e6e84861db2b · outbound

This paper cites Brotzge, Don Berchoff, DaNa L.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Brotzge, Don Berchoff, DaNa L

Reference 1

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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 796a183f-012c-4ff1-80d5-681be35d660a · outbound

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

Exploring the Use of Machine Learning Weather Models in Data Assimilation Learning skillful medium-range global weather forecasting

Reference 2

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Source-reported events for the cited work

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Observation e674f5b5-494b-4712-80f4-c79695ca1dc4 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Accurate medium-range global weather forecasting with 3d neural networks

Reference 3

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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 a19b0317-d9cf-417e-a246-f20024e63eaf · outbound

This paper cites Neural general circulation models for weather and climate.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Neural general circulation models for weather and climate

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab2be223-33d6-4cbe-911c-8706fb1b75e7 · outbound

This paper cites Skamarock, Joseph B.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Skamarock, Joseph B

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:04:46.121950Z digest=sha256:05e24225aa1b41ff3b44b53200f827c7b30558f2ff7708fee92992d61f0e172e

Observation 2fb0e29c-cd75-4e83-a695-0488e24af593 · outbound

This paper cites Michaelis, Gary M.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Michaelis, Gary M

Reference 6

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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 fdc25617-991b-44a6-8d7d-e96603f9cea2 · outbound

This paper cites The quiet revolution of numerical weather prediction.

Exploring the Use of Machine Learning Weather Models in Data Assimilation The quiet revolution of numerical weather prediction

Reference 7

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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 0e9f328d-ab84-48f7-bada-97c140ea4d5b · outbound

This paper cites an unresolved cited work.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Unresolved cited work

Reference 8

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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 f31828eb-ca8d-4579-b744-8c6eef59e0b3 · outbound

This paper cites Järvinen, E.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Järvinen, E

Reference 9

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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 68def64d-1a86-4f89-b117-9d3089e0214e · outbound

This paper cites The ecmwf operational implementation of four‐dimensional variational assimilation.

Exploring the Use of Machine Learning Weather Models in Data Assimilation The ecmwf operational implementation of four‐dimensional variational assimilation

Reference 10

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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 1d50288c-53ea-4bc5-95ed-2dd8c7106734 · outbound

This paper cites Rabier, G.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Rabier, G

Reference 11

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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 10a4e818-4ae0-4a11-81cb-ff0b7db3404f · outbound

This paper cites A strategy for operational implementation of 4d‐var, using an incremental approach.

Exploring the Use of Machine Learning Weather Models in Data Assimilation A strategy for operational implementation of 4d‐var, using an incremental approach

Reference 12

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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 12460899-bcf0-404c-8701-fe3c2d5c740d · outbound

This paper cites Dueben, Sebastian Scher, Jonathan A.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Dueben, Sebastian Scher, Jonathan A

Reference 13

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raw_fallback, observed 2026-08-12T15:04:46.384257Z

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 75e6735d-2528-49dd-917f-324d0aa42a08 · outbound

This paper cites A neural-network based mpas-shallow water model and its 4d-var data assimilation system.

Exploring the Use of Machine Learning Weather Models in Data Assimilation A neural-network based mpas-shallow water model and its 4d-var data assimilation system

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38bb9631-831e-43a2-86bd-bcfd4a0ef186 · outbound

This paper cites Watkins, Jordan S.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Watkins, Jordan S

Reference 15

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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 793b9b35-b04f-4c4b-b604-a4cfa5cec391 · outbound

This paper cites an unresolved cited work.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Unresolved cited work

Reference 16

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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 51297b20-760c-4978-a89a-c0a5daecbfdb · outbound

This paper cites Development of the tangent linear and adjoint models of the mpas-atmosphere dynamic core and applications in adjoint relative sensitivity studies.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Development of the tangent linear and adjoint models of the mpas-atmosphere dynamic core and applications in adjoint relative sensitivity studies

Reference 17

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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 9df29a18-e944-4d4d-977c-da8b6daaa309 · outbound

This paper cites Validation of a prototype global 4d-var data assimilation system for the mpas-atmosphere model.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Validation of a prototype global 4d-var data assimilation system for the mpas-atmosphere model

Reference 18

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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 5f2d81e0-80af-40f1-a54c-291171dbf5c0 · outbound

This paper cites Evolutions of errors in the global multiresolution model for prediction across scales - shallow water (mpas-sw).

Exploring the Use of Machine Learning Weather Models in Data Assimilation Evolutions of errors in the global multiresolution model for prediction across scales - shallow water (mpas-sw)

Reference 19

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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 e7fd5726-a249-49b0-b6dd-985de5654fd4 · outbound

This paper cites Forecasting Global Weather with Graph Neural Networks.

Exploring the Use of Machine Learning Weather Models in Data Assimilation Forecasting Global Weather with Graph Neural Networks

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 5f4632bc-183f-46b6-ba7e-b899ccde8197 · inbound

Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models cites this paper.

Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models Exploring the Use of Machine Learning Weather Models in Data Assimilation

Reference 9

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no resolver link, observed 2026-08-12T04:50:07.207864Z

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source=arxiv_source observed=2026-08-12T04:50:07.207864Z digest=sha256:2720796bc96924cbc025ff02d53385daa39be413333efa8b9b6b41748ccc7ff3

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

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems cites this paper.

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

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Observation df4f25fa-4e3b-48a8-be37-692134d16798 · inbound

GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations cites this paper.

GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations Exploring the Use of Machine Learning Weather Models in Data Assimilation

Reference 12

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local_arxiv, observed 2026-08-11T11:16:45.868982Z

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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