Paper Citation Record · LEDGER

RainShift: A Benchmark for Precipitation Downscaling Across Geographies

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2507.04930.

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

pith.paper-citation-record.v1
2507.04930 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T01:37:34.642691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T01:38:35.669017Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 78cf3f14-75ca-4a11-a7bc-d533f09083a4 · outbound

This paper cites an unresolved cited work.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 1

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Observation 032ceaac-24bd-4ed2-a738-606592972c04 · outbound

This paper cites D., Rhoades, A.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies D., Rhoades, A

Reference 2

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Observation d78ae889-1979-430d-ba23-a33bf2c773d4 · outbound

This paper cites & Yang, Y.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Yang, Y

Reference 3

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 4

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Observation 8e7a3b25-1d7a-4188-b2fb-15e780f9fcf0 · outbound

This paper cites G., Knutti, R., Lehner, F., Deser, C.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies G., Knutti, R., Lehner, F., Deser, C

Reference 5

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This paper cites an unresolved cited work.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 6

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Observation 738cb848-74c5-4cbd-a307-25059a6104df · outbound

This paper cites Deepsd: Generating high resolution climate change projections through single image super-resolution.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Deepsd: Generating high resolution climate change projections through single image super-resolution

Reference 7

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Observation a4a1bd8c-4885-4ad9-a35e-21b976e3268c · outbound

This paper cites J., West, G.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies J., West, G

Reference 8

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This paper cites & Westermann, R.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Westermann, R

Reference 9

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 10

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This paper cites & Netto, M.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Netto, M

Reference 11

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 12

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 13

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Observation 581b1540-3315-4e2b-8b12-aeb431c0249d · outbound

This paper cites Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Further analysis of cGAN: A system for Generative Deep Learning Post-processing of Precipitation

Reference 14

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Observation 4457a770-965f-4656-8fae-9b8a77ebad95 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 15

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Observation 3a45946c-10cc-497e-b6b6-518cca8e28b5 · outbound

This paper cites Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling

Reference 16

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Observation 7b0dfef3-696d-4ca1-bc22-5622fdee6d35 · outbound

This paper cites Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

Reference 17

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Observation 3e2ba44e-ee25-4ece-b0cc-8766d28d1529 · outbound

This paper cites & Watson, P.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Watson, P

Reference 18

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Observation 4682e3ed-20a4-4c92-85e9-aa863dc68cc0 · outbound

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 19

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Observation 71d4f393-99f7-419d-b4bb-bcbc84172862 · outbound

This paper cites Tropical globe radar database.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Tropical globe radar database

Reference 20

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This paper cites Wasserstein GAN.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Wasserstein GAN

Reference 21

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Observation 2383f44a-e5c5-4de8-86eb-ab2c375fea14 · outbound

This paper cites Generative Diffusion-based Downscaling for Climate.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Generative Diffusion-based Downscaling for Climate

Reference 22

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 23

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Observation fb1494c8-d398-406f-a812-76a206f9a7e7 · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 24

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This paper cites Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using sentinel-2 images.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using sentinel-2 images

Reference 25

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Observation 4ec640bb-9086-468d-9d0c-2440fdf4e46c · outbound

This paper cites Meta-Learning for Few-Shot Land Cover Classification.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Meta-Learning for Few-Shot Land Cover Classification

Reference 26

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 28

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This paper cites & Pillosu, F.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Pillosu, F

Reference 29

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 30

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 31

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Observation 0d31adc9-dd68-44a6-ae11-341bd43ab800 · outbound

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 32

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This paper cites N., Beighley, E.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies N., Beighley, E

Reference 33

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Observation 352f85d5-c385-4ca4-8168-31c4dea5b2eb · outbound

This paper cites Evaluation of imerg and era5 precipitation products over the mongolian plateau.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Evaluation of imerg and era5 precipitation products over the mongolian plateau

Reference 34

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 35

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This paper cites Hard-constrained deep learning for climate downscaling.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Hard-constrained deep learning for climate downscaling

Reference 36

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Berne, A

Reference 37

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Ganguli, S

Reference 38

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Laine, S

Reference 40

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Smith, L

Reference 41

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies TIML: Task-Informed Meta-Learning for Agriculture

Reference 42

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 43

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 44

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies & Zhou, Q

Reference 45

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 46

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Observation 0072ab96-4712-402a-a039-f05cdf806df9 · outbound

This paper cites Evaluating the transferability potential of deep learning models for climate downscaling.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Evaluating the transferability potential of deep learning models for climate downscaling

Reference 47

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Observation ce5b9c1e-701a-4b21-9a29-59e03bb7d4bb · outbound

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

RainShift: A Benchmark for Precipitation Downscaling Across Geographies WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 48

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 49

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This paper cites ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Reference 50

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:41:23.335372Z

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Observation 32d16d1b-afe3-4a31-9fd8-5e2e642ae343 · outbound

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 52

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Observation 7d23217d-d05a-4e76-9498-ccb1e2f3e92c · outbound

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RainShift: A Benchmark for Precipitation Downscaling Across Geographies Unresolved cited work

Reference 53

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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.

Observation 18db4bce-2aa0-496e-944c-9aac5b50acc2 · outbound

This paper cites J., Sobie, S.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies J., Sobie, S

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:24.286845Z

Source-reported events for the cited work

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Pith citing papers

Observation 9704580a-53ae-41c2-9b82-224b5d08de8d · inbound

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models cites this paper.

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models RainShift: A Benchmark for Precipitation Downscaling Across Geographies

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:38:35.689196Z

Source-reported events for the cited work

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Observation 0b3b35ff-9699-4b48-99d7-91b918a3c43c · inbound

Neural Stochastic Processes for Satellite Precipitation Refinement cites this paper.

Neural Stochastic Processes for Satellite Precipitation Refinement RainShift: A Benchmark for Precipitation Downscaling Across Geographies

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:05:58.608689Z

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.