Pith. sign in

Paper Citation Record · LEDGER

Exploring the design space of deep-learning-based weather forecasting systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.07472.

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

pith.paper-citation-record.v1
2410.07472 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:30:07.228185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:44:03.259383Z

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 ac52dffb-f12e-4592-94f5-b1d01c3a95f7 · inbound

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

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion Exploring the design space of deep-learning-based weather forecasting systems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:30:07.228185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:30:07.228185Z digest=sha256:064e83178a164441ba46b70fe4f481812c27420a9c8106031ed6ce6d73a1206b

Observation 20fbba87-9758-4f72-92a5-e954de10729a · inbound

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales cites this paper.

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales Exploring the design space of deep-learning-based weather forecasting systems

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:27.261671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:27.261671Z digest=sha256:5b217d997bdfb40480e3be6a21aec0c85bb6839520855784a262981665a30de4

Observation 2f93cd5d-1737-413c-bdaf-e5c484460625 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Exploring the design space of deep-learning-based weather forecasting systems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:59.527612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:59.527612Z digest=sha256:1350731b0969356ab1d3b143c332f35e01119a2c48cc982169494b001075a7e3

Observation b0b652bc-2cb5-4e51-8d11-59281d4c8413 · inbound

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland cites this paper.

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland Exploring the design space of deep-learning-based weather forecasting systems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:47:41.681720Z

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=arxiv_source observed=2026-05-19T17:45:13.121247Z digest=sha256:7f345dba679c52e7535057abdbfcd90b16a11eabce3b525739654d28f376611b

Observation 26da4ba6-3bdf-4b61-9d73-69e5f7959b16 · inbound

Samudra 2: Scaling Ocean Emulators across Resolutions cites this paper.

Samudra 2: Scaling Ocean Emulators across Resolutions Exploring the design space of deep-learning-based weather forecasting systems

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:44:03.261179Z

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=2026-06-29T23:34:10.205047Z digest=sha256:22757eb1ab2c5ee9fc532befb39f3f05ab594abed5c7c12ff8df190e3a127dad