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Paper Citation Record · LEDGER

GT4Py: High Performance Stencils for Weather and Climate Applications using Python

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.08322.

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

pith.paper-citation-record.v1
2311.08322 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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:28:45.413765Z

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

3
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 974dd532-fd54-48dd-b0a4-f7c8a479e39d · inbound

Energy-aware operation of HPC systems in Germany cites this paper.

Energy-aware operation of HPC systems in Germany GT4Py: High Performance Stencils for Weather and Climate Applications using Python

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-12T13:28:45.413765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:28:45.413765Z digest=sha256:8f859bb1ae7879a90da327620bc6f6c9f733f1b3f0fa7eabe2a539f4def521fb

Observation 73761d38-f994-46d3-a037-c1781008fe2d · inbound

SpaDA: A Spatial Dataflow Architecture Programming Language cites this paper.

SpaDA: A Spatial Dataflow Architecture Programming Language GT4Py: High Performance Stencils for Weather and Climate Applications using Python

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:20:23.262104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T22:18:38.464461Z digest=sha256:764859cb1d32f3225370883b31a0c02b57085b31df8caa97ddb08454ed16544c

Observation 5eea44e6-4fc0-49a4-9adb-e022c27d48fd · inbound

Stencil Computations on Cerebras Wafer-Scale Engine cites this paper.

Stencil Computations on Cerebras Wafer-Scale Engine GT4Py: High Performance Stencils for Weather and Climate Applications using Python

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:05:53.542292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T03:02:48.800592Z digest=sha256:ea9c20fddddc99252de7ae353a788af64be238b5d44f0fe0f385199f538cd3ed

Observation 64ba7caf-65f9-40fa-b9d1-882d9c5b400f · inbound

Mat2Boundary: Treating User-Defined Boundary Condition as SpMV for Distributed PDE Solvers on Block-Structured Grids cites this paper.

Mat2Boundary: Treating User-Defined Boundary Condition as SpMV for Distributed PDE Solvers on Block-Structured Grids GT4Py: High Performance Stencils for Weather and Climate Applications using Python

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T14:35:55.444204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T14:33:36.710736Z digest=sha256:73872be35d9a53440201955798882d1d0c25f9eca91ecacf3ffe48fff23deb08

Observation 10a22d28-3466-4e4d-8c76-01a559fc7703 · inbound

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work cites this paper.

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work GT4Py: High Performance Stencils for Weather and Climate Applications using Python

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:20:06.551282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T21:31:02.801031Z digest=sha256:1f23cf9c21930a20f14ac342a00cbed4ab96ea067aedf7ae30157eb0ecf5d8e3