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Paper Citation Record · LEDGER

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.06253.

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

pith.paper-citation-record.v1
2311.06253 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:24.766584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:57:50.318730Z

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 d3306c12-ef10-4422-b3af-36399e8fb17b · inbound

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

PEAR: Equal Area Weather Forecasting on the Sphere Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:24.766584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:24.766584Z digest=sha256:9e2a44d52268fc157123719035795a904848d8431469a08e5475ce98fb3c72f7

Observation d8ec7563-5ba1-476d-8fc7-a95fbd463b08 · 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 Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:57:50.320272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T11:54:13.437972Z digest=sha256:598a409ce59fb6f54f7ba9f7953d0aef43093bda5ce319292651645bc7b56b64