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Paper Citation Record · LEDGER

AI-based data assimilation: Learning the functional of analysis estimation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.00390.

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

pith.paper-citation-record.v1
2406.00390 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:49.793758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:05:00.812760Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e74bffe0-305a-489f-9e93-a6a15d116ead · inbound

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting cites this paper.

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting AI-based data assimilation: Learning the functional of analysis estimation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T13:11:49.793758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:11:49.793758Z digest=sha256:87bb3ea7ea9357cb1e1adb62a4579ef4f6bbbfe1404293d680748392bfefd078

Observation 3b903639-bdf0-49de-a666-67f22371ec02 · inbound

AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score cites this paper.

AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score AI-based data assimilation: Learning the functional of analysis estimation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T11:08:12.185818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:08:12.185818Z digest=sha256:74d3e054e1be28b2fc983fc0620a1262ab44af0f437853756a9430871fcc95c2

Observation b47d6097-1724-41a6-a405-e20c2bb9c8b5 · inbound

Solving Implicit Inverse Problems with Homotopy-Based Regularization Path cites this paper.

Solving Implicit Inverse Problems with Homotopy-Based Regularization Path AI-based data assimilation: Learning the functional of analysis estimation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:33.925348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:33.925348Z digest=sha256:62837e05f896b0444a2a6dcbc975a6db4d38cf12682fcbd06bbba20f2d2dc1ba

Observation 98281bb4-b78d-4b04-899e-cec5589bceb5 · inbound

Using Diffusion Models to do Data Assimilation cites this paper.

Using Diffusion Models to do Data Assimilation AI-based data assimilation: Learning the functional of analysis estimation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:46.547013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:35:46.547013Z digest=sha256:3b8599fddfaf547af1993c67cba1fd6609a2abfe5264e2e8f5310e0b05a4edd8

Observation 02bfef67-de85-4a93-aa91-cc2d4e726cb6 · inbound

Towards a Foundation Model for the Martian Atmosphere cites this paper.

Towards a Foundation Model for the Martian Atmosphere AI-based data assimilation: Learning the functional of analysis estimation

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.814159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T19:01:31.373340Z digest=sha256:8926ca7a0596b4aca5b379dfba5c68d036a4a0d45dd9adcef79544842d5c617f