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Paper Citation Record · LEDGER

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.04409.

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

pith.paper-citation-record.v1
2502.04409 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:18:48.048810Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 193781aa-d8dd-4d9c-b394-b4ecc5cc3331 · outbound

This paper cites R., Buchanan, P.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods R., Buchanan, P

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:18:48.300545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 31cad42e-6f51-4533-8095-cc318eaacd37 · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Auto-Encoding Variational Bayes

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:48.018182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:18:48.018182Z digest=sha256:fced4949f4073c61b7d3fe1e6a4e19e37eb4bb9899c8f38e243dda0f4c0735db

Observation db7881ce-861d-4ac2-83fa-1a8b755be3f7 · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:48.022981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3778d2d1-0c44-42e0-853b-d0fe2783feef · outbound

This paper cites Dorninger, M., Gilleland, E., Casati, B., Mittermaier, M.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Dorninger, M., Gilleland, E., Casati, B., Mittermaier, M

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:18:48.271978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d6d26e61-c67d-4dc2-809f-912d4a21e562 · outbound

This paper cites an unresolved cited work.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:18:48.243615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 21c8a73e-fe31-4157-8123-68395a591a42 · outbound

This paper cites FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:48.044108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:18:48.044108Z digest=sha256:a1c65a65583987e8721d9454c2863981abdcfc126c95f55d2528b118ac986262

Observation 8868379e-93aa-476b-b019-4a0c77d15aa2 · outbound

This paper cites an unresolved cited work.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Unresolved cited work

Reference 32

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T00:18:48.215117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T00:18:48.048810Z digest=sha256:beb443444a77fcc3a7cd23f523f4642ce229458954c1a321df79aac78506fd03

Observation 8e074f56-e48a-40d5-a03a-c11101100d86 · outbound

This paper cites J., Richardson, D.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods J., Richardson, D

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:18:48.229113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 701e7d61-0515-46b9-8bb2-41ec157ff223 · outbound

This paper cites and Lerch, S.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods and Lerch, S

Reference 234

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:18:48.287352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f94e3ae6-0536-4bfd-b2dd-924c37dc9e05 · outbound

This paper cites Wasserstein Auto-Encoders.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Wasserstein Auto-Encoders

Reference 257

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:48.039598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:18:48.039598Z digest=sha256:e78c30a95b0ba0cf51c1dfdbb5df03bac1d49fe62e874d89a59a3f355db48fda

Observation 4684f8b1-d9cc-4f49-be3f-85c8433123d2 · outbound

This paper cites Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

Reference 689

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:18:48.170814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 722b09de-b642-49de-822e-3eb006972d32 · outbound

This paper cites Applications of machine learning to predict seasonal precipitation for East Africa.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Applications of machine learning to predict seasonal precipitation for East Africa

Reference 1026

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:18:48.121675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T00:18:48.034980Z digest=sha256:51c75e2d51ce9ede6584d1545b1f514980131534a6d05c6f12ebbb81eef1968d

Observation f262518f-803f-4358-839f-321b6a1d840a · outbound

This paper cites an unresolved cited work.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Unresolved cited work

Reference 1376

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:18:48.257730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7944c5de-7477-4a88-a673-8dab75f2eb5c · outbound

This paper cites Importance Weighted Autoencoders.

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods Importance Weighted Autoencoders

Reference 1509

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:47.990086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee368a7b-3a8c-48be-adff-56acf9f41460 · outbound

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

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1906

Resolution
unresolved
no resolver link, observed 2026-08-09T00:18:48.004080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:18:48.004080Z digest=sha256:9f90d5a05343c896e9a13605bf52921005553105de51faedf4aef558ce666658

Pith citing papers

No inbound Pith citation observations are available.