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Paper Citation Record · LEDGER

Potential of quantum scientific machine learning applied to weather modelling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08737.

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

pith.paper-citation-record.v1
2404.08737 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:25:22.694305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T19:25:26.244838Z

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 c0a80583-4e47-4ecd-bdaf-ba756147d877 · inbound

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models cites this paper.

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models Potential of quantum scientific machine learning applied to weather modelling

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T19:24:32.491512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:24:32.491512Z digest=sha256:29369c505c086c79721074c78b13912713b2ca4b229aa1b3d42dcd4a684d2a38

Observation a51d26a3-dfcf-470c-8b19-886b56c70226 · inbound

Opportunities and challenges of quantum computing for climate modelling cites this paper.

Opportunities and challenges of quantum computing for climate modelling Potential of quantum scientific machine learning applied to weather modelling

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:25:26.274730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T19:25:22.694305Z digest=sha256:7ffc90920b3bc138bdaa2ab1282d72ede748edb21b09bda22a7fb0d382ba97d4