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Paper Citation Record · LEDGER

Evaluation of medium range machine learning models for sub-seasonal prediction

As of 9 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2606.25417.

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

pith.paper-citation-record.v1
2606.25417 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe03b334-465c-4699-8300-f7cfebc0b9e9 · outbound

This paper cites Skillful joint probabilistic weather forecasting from marginals.

Evaluation of medium range machine learning models for sub-seasonal prediction Skillful joint probabilistic weather forecasting from marginals

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:07.908262Z

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=2026-06-25T20:12:46.696053Z digest=sha256:84562e3714f81fc6d19dafe208a7d7872faaa6257e58196bd106717b2c03e087

Observation 7b273102-ef79-4180-9d8a-2fda640c2270 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Evaluation of medium range machine learning models for sub-seasonal prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-27T03:50:28.876937Z

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=2026-07-11T11:50:26.030339Z digest=sha256:ecc8b2e2bc7e7e6a7e2b2a956137385f37567c106cdbcdbc419597c1c61d9e5f

Observation 5eb9f3c5-85bf-498f-9544-8fe9ae64162c · outbound

This paper cites & Hosking, J.

Evaluation of medium range machine learning models for sub-seasonal prediction & Hosking, J

Reference 3

Resolution
verified exact
doi, observed 2026-06-27T03:50:28.878952Z

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=2026-06-25T20:12:46.696053Z digest=sha256:3b36ebf6337477311639244188dbc21ef7fe4d471e90c0ae64f65752093e1b48

Observation a3ab65b6-3ebe-4b41-9020-304048afe114 · outbound

This paper cites & Thépaut, J.

Evaluation of medium range machine learning models for sub-seasonal prediction & Thépaut, J

Reference 4

Resolution
verified exact
doi, observed 2026-06-27T03:50:28.880681Z

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=2026-06-25T20:12:46.696053Z digest=sha256:a9ee27be6e89bca02e24f5c1e7c2b24a12fb64a98dee9c36ac51f3bf75bfa155

Observation 310763e6-93ce-4553-9c8d-bd7b3f1de527 · outbound

This paper cites & Rabier, F.

Evaluation of medium range machine learning models for sub-seasonal prediction & Rabier, F

Reference 5

Resolution
verified exact
doi, observed 2026-06-27T03:50:28.878784Z

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=2026-06-25T20:12:46.696053Z digest=sha256:31bb9b2c3f7b3eaffca0d7247f5e9c6dc2567eeed40cb734919bb4cd947f5918

Pith citing papers

No inbound Pith citation observations are available.