Paper Citation Record · LEDGER

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.15917.

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

pith.paper-citation-record.v1
2412.15917 v1

Coverage vector

measured 48 of 48 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 236d6a04-e3bd-485c-a77f-b8dbc59041e5 · outbound

This paper cites an unresolved cited work.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:00:57.236194Z

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Observation 1e743a77-4650-4a0f-8191-35919b6da0c7 · outbound

This paper cites Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1,533 events,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1,533 events,

Reference 2

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Observation f85498e1-1b7c-4e21-b76b-b300b06cd0f1 · outbound

This paper cites Optimizing reservoir water management in a changing climate,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Optimizing reservoir water management in a changing climate,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.210627Z

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Observation 6707e0a6-87cb-4f30-b5d6-12dc6c8ccb14 · outbound

This paper cites Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in belgium,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in belgium,

Reference 4

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Observation 739a0701-435f-466d-a422-e7b4c519f0ef · outbound

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Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Unresolved cited work

Reference 5

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Observation a3871b06-0bac-47e6-992e-de6954449141 · outbound

This paper cites Nowcasting of precipitation sys- tems,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Nowcasting of precipitation sys- tems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.172248Z

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Observation cc0c0edd-e0de-4b2c-8163-501942eed123 · outbound

This paper cites Bech and J.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Bech and J

Reference 7

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Observation 5ed116c1-28a2-4d6f-b8fb-f484ceb9b48b · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 8

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Observation 63b8ac7a-96d1-4c71-97ac-9c17db7e1e2d · outbound

This paper cites Machine Learning for Precipitation Nowcasting from Radar Images.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Machine Learning for Precipitation Nowcasting from Radar Images

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T11:00:56.389357Z

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Observation 159d837f-c078-4055-a47a-03afd5274aad · outbound

This paper cites SmaAt-UNet: Precip- itation now-casting using a small attention-unet architecture,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting SmaAt-UNet: Precip- itation now-casting using a small attention-unet architecture,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.138487Z

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Observation 0fe5efb2-5e86-48f0-9a19-9039de6e47f3 · outbound

This paper cites Skillful precipitation nowcasting using deep generative models of radar,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Skillful precipitation nowcasting using deep generative models of radar,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.125759Z

Source-reported events for the cited work

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Observation 4deeb347-ee80-4747-9351-04c3c17c7bcf · outbound

This paper cites Deep shared representation learning for weather ele- ments forecasting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Deep shared representation learning for weather ele- ments forecasting,

Reference 12

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Observation cc8dc165-7596-47ff-af00-b8c3f6a106c8 · outbound

This paper cites Wind speed prediction using multi- dimensional convolutional neural networks,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Wind speed prediction using multi- dimensional convolutional neural networks,

Reference 13

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Observation d5dfa7bd-ffcd-4ad5-86fd-90cc3815a131 · outbound

This paper cites Revisiting self-supervised visual representation learning,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Revisiting self-supervised visual representation learning,

Reference 14

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Observation c778ae59-b786-42e8-b980-f1d4d295c4fe · outbound

This paper cites Uncovering the structure of clinical eeg signals with self- supervised learning,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Uncovering the structure of clinical eeg signals with self- supervised learning,

Reference 15

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Observation 52e03dde-792b-4857-8f84-e94f89f5e52c · outbound

This paper cites A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification,

Reference 16

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Observation e45c2932-5df6-4620-bcfa-d388456e2969 · outbound

This paper cites Prottrans: Toward understanding the language of life through self-supervised learning,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Prottrans: Toward understanding the language of life through self-supervised learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.045069Z

Source-reported events for the cited work

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Observation e68690ab-b548-48e5-81ca-1803a2fcc76e · outbound

This paper cites Big self-supervised models are strong semi-supervised learners,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Big self-supervised models are strong semi-supervised learners,

Reference 18

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Observation b8d3fe91-f5e6-44ec-9258-8dd157fe52bc · outbound

This paper cites Using self- supervised learning can improve model robustness and uncertainty,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Using self- supervised learning can improve model robustness and uncertainty,

Reference 19

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Observation f0b4c2e7-81e5-4f11-bba0-2470d16a0ceb · outbound

This paper cites Context encoders: Feature learning by inpainting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Context encoders: Feature learning by inpainting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:57.012509Z

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Observation 52c1276e-4947-495e-a927-9663b11af7fa · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Masked au- toencoders are scalable vision learners,

Reference 21

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Observation b51316b4-2af2-484e-ba3c-397866ecd92c · outbound

This paper cites Siamese masked autoen- coders,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Siamese masked autoen- coders,

Reference 22

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Source-reported events for the cited work

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Observation b2b80e2a-2f0d-444e-afbd-148a7738f8e2 · outbound

This paper cites Multimae: Multi- modal multi-task masked autoencoders,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Multimae: Multi- modal multi-task masked autoencoders,

Reference 23

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Source-reported events for the cited work

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Observation c5cdacac-0d38-4a09-a3b9-d5b1a6bd4e33 · outbound

This paper cites Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 24

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Observation 42ae5188-79e3-4837-a8a4-413b704e473f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting U-net: Convolutional networks for biomedical image segmentation,

Reference 25

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Observation a6f8ee42-23f4-4dad-aca5-7fdbefd9001a · outbound

This paper cites AA-TransUnet: Attention augmented transunet for nowcasting tasks,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting AA-TransUnet: Attention augmented transunet for nowcasting tasks,

Reference 26

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Source-reported events for the cited work

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Observation b5d9cfeb-e5e8-43ac-9b36-8d9663f329d9 · outbound

This paper cites SAR-UNet: Small attention residual unet for explainable nowcasting tasks,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting SAR-UNet: Small attention residual unet for explainable nowcasting tasks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.944197Z

Source-reported events for the cited work

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Observation bf1bec2e-f0fa-496d-9319-950f4712c8d6 · outbound

This paper cites Broad-UNet: Multi-scale feature learning for nowcasting tasks,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Broad-UNet: Multi-scale feature learning for nowcasting tasks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.930898Z

Source-reported events for the cited work

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Observation 89196d14-db26-4020-bfc1-543dd1ff1798 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Xception: Deep learning with depthwise separable convolu- tions,

Reference 29

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Observation 926b63c3-b634-477c-b5c6-07b80307d863 · outbound

This paper cites Cbam: Convolutional block attention module,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Cbam: Convolutional block attention module,

Reference 30

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Observation 2c08e5ed-78a5-420a-99fe-f8020832d4bb · outbound

This paper cites GA-SmaAt-GNET: Generative adversarial small attention gnet for extreme precipitation nowcasting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting GA-SmaAt-GNET: Generative adversarial small attention gnet for extreme precipitation nowcasting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.901628Z

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Observation 7721a2aa-64a9-436f-ae7d-996c4503a073 · outbound

This paper cites Graph dual-stream convolutional attention fusion for precipitation nowcasting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Graph dual-stream convolutional attention fusion for precipitation nowcasting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.888917Z

Source-reported events for the cited work

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Observation 7910728b-9fa4-4307-99f8-7c5f233ddca7 · outbound

This paper cites Learning skillful medium-range global weather forecasting,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Learning skillful medium-range global weather forecasting,

Reference 33

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Observation 14f92c0a-fa72-4e9a-a78e-ea77672d4d80 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Accurate medium-range global weather forecasting with 3d neural networks,

Reference 34

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Observation e3dad307-2f85-4f48-bf69-aeb90c18d6d1 · outbound

This paper cites Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators,

Reference 35

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Observation 730c9281-68a9-4801-8f90-ba6933776c2c · outbound

This paper cites Self-supervised Learning: Generative or Contrastive.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Self-supervised Learning: Generative or Contrastive

Reference 36

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This paper cites A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends

Reference 37

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Observation f05b75e8-f1f4-4aa8-b390-d7b8927fb17e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 38

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 39

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

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

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This paper cites W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

Reference 41

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Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting The era5 global reanalysis,

Reference 42

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Observation 8ac1c495-fa3f-43d8-8993-b1a0d62e8239 · outbound

This paper cites SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning

Reference 43

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Observation e0e67c58-42b1-430f-8412-d7f7b1091502 · outbound

This paper cites Openstl: A comprehensive benchmark of spatio-temporal predictive learning,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Openstl: A comprehensive benchmark of spatio-temporal predictive learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.833539Z

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Observation d56de9ed-ebc0-43d9-af37-274013efd2e9 · outbound

This paper cites Masked feature prediction for self-supervised visual pre-training,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Masked feature prediction for self-supervised visual pre-training,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:00:56.819757Z

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Observation 102af30b-5b90-459e-bacf-39f50161801b · outbound

This paper cites Deep residual learning for image recognition,.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Deep residual learning for image recognition,

Reference 46

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Observation b594f574-751e-41bb-9288-38f42b5d7d8a · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 47

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Observation 9b5e8236-7db9-459b-9535-80b480f63fc3 · outbound

This paper cites Masked Feature Prediction for Self-Supervised Visual Pre-Training.

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting Masked Feature Prediction for Self-Supervised Visual Pre-Training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T11:00:56.625549Z

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