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Paper Citation Record · LEDGER

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.11050.

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

pith.paper-citation-record.v1
2407.11050 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:18:48.009022Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T00:18:48.165767Z

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 4684f8b1-d9cc-4f49-be3f-85c8433123d2 · inbound

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods cites this paper.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

Reference 689

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:18:48.170814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:18:48.009022Z digest=sha256:328d6a3099f601660282058622cbfab676724812cc1bb680ac381c24209024a1

Observation e9281744-c257-442b-8e62-873a83e5feb6 · inbound

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores cites this paper.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T07:38:48.277129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:38:48.277129Z digest=sha256:8046bcf5092e09b1ec13f329eb3f037ec013dc5ca58b5a513a156016c72b91c6