Paper Citation Record · LEDGER

Improving AI weather prediction models using global mass and energy conservation schemes

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.05648.

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

pith.paper-citation-record.v1
2501.05648 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:18.616834Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d8e68235-fd2c-483f-9047-d807bb386040 · inbound

PEAR: Equal Area Weather Forecasting on the Sphere cites this paper.

PEAR: Equal Area Weather Forecasting on the Sphere Improving AI weather prediction models using global mass and energy conservation schemes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:26.195514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd5f36a-f7ab-4726-a879-9353999bbcd5 · inbound

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching cites this paper.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Improving AI weather prediction models using global mass and energy conservation schemes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:55:18.616834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53196f7-784a-46f3-af13-2ec934c7632a · inbound

"What is a realistic forecast?" Assessing data-driven weather forecasts, a journey from verification to falsification cites this paper.

"What is a realistic forecast?" Assessing data-driven weather forecasts, a journey from verification to falsification Improving AI weather prediction models using global mass and energy conservation schemes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T06:01:03.639308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e3611b-cbc4-4dd1-b763-22046bfa7e26 · inbound

Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework cites this paper.

Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework Improving AI weather prediction models using global mass and energy conservation schemes

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-08T16:53:29.858722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 079481aa-eaf1-4a7e-84dd-f24a19efd4b3 · inbound

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models cites this paper.

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models Improving AI weather prediction models using global mass and energy conservation schemes

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:37.256947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8011dfd9-d460-4fd3-8762-5b80e2f18d4f · inbound

Weather Emulators at the Frontier of Heat Extremes Predictability cites this paper.

Weather Emulators at the Frontier of Heat Extremes Predictability Improving AI weather prediction models using global mass and energy conservation schemes

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-31T14:18:24.029272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.