Paper Citation Record · LEDGER

Data driven weather forecasts trained and initialised directly from observations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2407.15586.

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

pith.paper-citation-record.v1
2407.15586 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:31:19.937350Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e1cefefe-856d-41ab-8958-263ea2a5575d · 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 Data driven weather forecasts trained and initialised directly from observations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:43.631952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66988ba9-8178-427c-8f17-d4ee17650360 · inbound

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations cites this paper.

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations Data driven weather forecasts trained and initialised directly from observations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:58:26.755499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7945c4-1732-4b55-a28b-b042af6d7269 · inbound

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion cites this paper.

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion Data driven weather forecasts trained and initialised directly from observations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T12:30:07.178872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602ab8b0-21cc-47c3-969a-077f5ee9be8f · inbound

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution cites this paper.

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution Data driven weather forecasts trained and initialised directly from observations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T18:13:21.169760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604cc890-6394-48ca-b623-564017219763 · inbound

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity cites this paper.

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity Data driven weather forecasts trained and initialised directly from observations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:47.059547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55513231-1916-4765-908b-a28af75aab42 · inbound

Learning from nature: insights into GraphDOP's representations of the Earth System cites this paper.

Learning from nature: insights into GraphDOP's representations of the Earth System Data driven weather forecasts trained and initialised directly from observations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T16:42:52.850183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b1077d-790f-47a3-8610-0d36183b0b67 · inbound

Learning from nature: insights into GraphDOP's representations of the Earth System cites this paper.

Learning from nature: insights into GraphDOP's representations of the Earth System Data driven weather forecasts trained and initialised directly from observations

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-05T16:42:52.841087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c414944a-069f-4538-8874-58ac247ae039 · inbound

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates cites this paper.

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates Data driven weather forecasts trained and initialised directly from observations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:31:19.937350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647de841-0c0a-42f8-a86f-093fc454e176 · inbound

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts cites this paper.

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts Data driven weather forecasts trained and initialised directly from observations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:57:50.290418Z

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.

Observation 485ace1f-0634-4900-8424-a7322991c814 · inbound

Toward Artificial Intelligence Enabled Earth System Coupling cites this paper.

Toward Artificial Intelligence Enabled Earth System Coupling Data driven weather forecasts trained and initialised directly from observations

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:03:25.184164Z

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.

Observation 50c8114b-ccc6-49b3-a3bd-cd6c1a487970 · inbound

Earth-o1: A Grid-free Observation-native Atmospheric World Model cites this paper.

Earth-o1: A Grid-free Observation-native Atmospheric World Model Data driven weather forecasts trained and initialised directly from observations

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:51:08.748327Z

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.

Observation 6d77e33a-9856-4dc3-b9cb-093c45badcad · inbound

Skillful high-resolution weather forecasting independent of physical models cites this paper.

Skillful high-resolution weather forecasting independent of physical models Data driven weather forecasts trained and initialised directly from observations

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:03:17.545366Z

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.

Observation 534e7186-139f-4650-83e9-b309878ea1fc · inbound

AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning cites this paper.

AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning Data driven weather forecasts trained and initialised directly from observations

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T18:59:43.841598Z

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.

Observation 33bfcb23-f3d4-4284-8b7a-6ee63eaca4b8 · inbound

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work cites this paper.

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work Data driven weather forecasts trained and initialised directly from observations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.545817Z

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.

Observation d58d4913-3bce-4a74-91c3-f1f012e45084 · inbound

Global reanalysis from observations alone with machine learning cites this paper.

Global reanalysis from observations alone with machine learning Data driven weather forecasts trained and initialised directly from observations

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:17:21.523124Z

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.

Observation 8b16f803-bb2d-4ebe-97d4-a927cc2f4978 · inbound

Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting cites this paper.

Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting Data driven weather forecasts trained and initialised directly from observations

Reference 199

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:59.881281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.