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Paper Citation Record · LEDGER

A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.16319.

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

pith.paper-citation-record.v1
2409.16319 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:36:04.828746Z

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

0
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 f2f61d00-945e-4089-b52e-5231592f8bb5 · inbound

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting cites this paper.

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:36:04.828746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:36:04.828746Z digest=sha256:e966a08be82d973d0700aa51e8816559237c607a467992ad62081c1e7b047e04

Observation 8eb71f27-c8a3-4736-bf7a-007c24037b5b · inbound

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction cites this paper.

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-26T18:29:41.718920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T18:21:41.472210Z digest=sha256:f92a157db7e3e9b6f2d3c44f30bab66ace6788effda49278418ffb6502c87ca8

Observation 92568658-4527-4f5e-bcdd-707fbb3808c0 · inbound

MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones cites this paper.

MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-26T00:18:42.114948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T00:18:25.379225Z digest=sha256:ca4c6c4ea724ef5fed9ab06fea39e0abd4502e831fb9af05c0b809ca82dddbab