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Paper Citation Record · LEDGER

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2506.19088.

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

pith.paper-citation-record.v1
2506.19088 v1

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:32.687981Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:55:54.408721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.696611Z

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 21302521-c3c3-436a-9e8b-1b80d2a592d7 · outbound

This paper cites Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings

Reference 1

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Observation ed840852-2460-4cc2-a72f-855b9b3e581a · outbound

This paper cites , Wood, E F.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Wood, E F

Reference 2

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Observation 34f66a14-0403-44bb-b8da-bbfad927f252 · outbound

This paper cites , Bruinsma, W P.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Bruinsma, W P

Reference 3

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Observation 95335c90-2456-48c5-ab8c-9d1ad79613fb · outbound

This paper cites , Hudson, D A.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Hudson, D A

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1c970b7b-d721-4da3-86a1-fb99a3c2685e · outbound

This paper cites , Zhong, X.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Zhong, X

Reference 5

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Observation aa565bb7-5abd-45a0-af5c-0ae08eb5e28f · outbound

This paper cites , Leyland, J.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Leyland, J

Reference 6

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Observation 748dffd7-f68a-4014-9f57-896dd01e81dd · outbound

This paper cites \ Soja, B.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes \ Soja, B

Reference 7

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Observation 2e951027-1f4b-4bf6-834d-fc55174d2864 · outbound

This paper cites \ Finney, I.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes \ Finney, I

Reference 8

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Observation 33fda04c-ff91-46e3-acc0-cffa89131487 · outbound

This paper cites , Raonić, B.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Raonić, B

Reference 9

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8067ed4c-c250-4ebe-b61b-f49384c21d22 · outbound

This paper cites , Bell, B.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Bell, B

Reference 10

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Observation edcbf57a-d163-430b-8b6a-5f4ec83e41c5 · outbound

This paper cites , Gimeno, F.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Gimeno, F

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2d481995-cb98-455f-8465-c13cc1410d88 · outbound

This paper cites , Sanchez-Gonzalez, A.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Sanchez-Gonzalez, A

Reference 12

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Observation fa4c5e0e-850a-4044-9e6c-be7c91c3a7fe · outbound

This paper cites \ Grill, G.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes \ Grill, G

Reference 13

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Observation a0f3cfdd-a63b-4dda-a990-34398e3b68c8 · outbound

This paper cites AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 14

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Observation a01456a8-ea95-426f-b79a-055a3c7f77c5 · outbound

This paper cites , Kusche, J.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Kusche, J

Reference 15

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Observation 3577506a-7f5f-4494-9fc7-14750bf69be2 · outbound

This paper cites , Hsu, K.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Hsu, K

Reference 16

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Observation e135b1ad-c154-4828-93bc-5665be36e61c · outbound

This paper cites , Brandstetter, J.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Brandstetter, J

Reference 17

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7b0fa9af-049c-4bb1-a804-8838a1e7d507 · outbound

This paper cites , Ceola, S.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Ceola, S

Reference 18

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Observation 40c952d4-bf7e-493b-83ae-e7ffbb88b775 · outbound

This paper cites On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests

Reference 19

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Observation 76dc4d6c-1491-4211-8a23-65220b01575a · outbound

This paper cites , Dueben, P D.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Dueben, P D

Reference 20

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Observation 71f03303-50bb-4440-99e7-ba5e8174cbc7 · outbound

This paper cites WeatherBench 2: A benchmark for the next generation of data-driven global weather models.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 21

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Observation bb9fda84-3558-4e04-8b05-dc8ca69b5ba2 · outbound

This paper cites \ Lean, H W.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes \ Lean, H W

Reference 22

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Observation f5211ddd-250b-4154-a418-673759d83f80 · outbound

This paper cites , Richardson, D S.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Richardson, D S

Reference 23

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Observation 6b14cac1-0a9d-4cf7-8f4e-0b8c93a9fe67 · outbound

This paper cites Prithvi WxC: Foundation Model for Weather and Climate.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes Prithvi WxC: Foundation Model for Weather and Climate

Reference 24

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Observation c38f2746-e258-4841-857a-c2cc8321ee49 · outbound

This paper cites Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method

Reference 25

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Observation 05880b29-f69d-4a43-a08f-6d3e6672f5da · outbound

This paper cites ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses

Reference 26

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Observation a0e2c77a-4250-4627-970f-4de4af17f030 · outbound

This paper cites , Zheng, X.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes , Zheng, X

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d437ebd6-49de-4994-8804-37ec35000cc9 · outbound

This paper cites WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning.

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning

Reference 28

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Pith citing papers

Observation c8680e9c-290c-4f75-bb18-8bd23a54c602 · inbound

Data-driven solar forecasting enables near-optimal economic decisions cites this paper.

Data-driven solar forecasting enables near-optimal economic decisions Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes

Reference 31

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Observation f3e8df94-5e60-4701-a6c1-dcfc0b688c2f · inbound

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting cites this paper.

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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