Paper Citation Record · LEDGER

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.08436.

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

pith.paper-citation-record.v1
2608.08436 v1

Coverage vector

measured 36 of 36 reference resolution

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measured 36 of 36 standing notices

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 869a069b-b128-4f3c-968e-f5de854573b5 · outbound

This paper cites Pysteps: An open-source python library 12 for probabilistic precipitation nowcasting (v1. 0),.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Pysteps: An open-source python library 12 for probabilistic precipitation nowcasting (v1. 0),

Reference 1

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Source-reported events for the cited work

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Observation 5dd7b38b-1485-498c-a0bc-091c485c1bc1 · outbound

This paper cites A short-long term sequence learning network for precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting A short-long term sequence learning network for precipitation nowcasting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.709308Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd608b89-331f-44ff-9732-96703f4dd4d6 · outbound

This paper cites Skilful nowcasting of extreme precipitation with nowcastnet,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Skilful nowcasting of extreme precipitation with nowcastnet,

Reference 3

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Observation c9777ea9-9a08-4ed8-95ee-cc19a9c537a0 · outbound

This paper cites Use of nwp for nowcasting convective precipitation: Recent progress and challenges,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Use of nwp for nowcasting convective precipitation: Recent progress and challenges,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.684385Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a091a83-a8db-495b-94d9-860286a08ddb · outbound

This paper cites The value of precipitation forecasts to anticipate floods,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting The value of precipitation forecasts to anticipate floods,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.673038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e74e80d-9729-4732-9c84-7f312db56617 · outbound

This paper cites Constructing a geography of heavy- tailed flood distributions: insights from common streamflow dynamics,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Constructing a geography of heavy- tailed flood distributions: insights from common streamflow dynamics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.661141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a022798-0266-4165-bf65-55aa827694f3 · outbound

This paper cites Convective precipita- tion nowcasting using u-net model,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Convective precipita- tion nowcasting using u-net model,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.148802Z

Source-reported events for the cited work

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Observation 4effd0c4-5745-4724-9887-369f3ca41329 · outbound

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

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Skilful precipitation nowcasting using deep generative models of radar,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.153347Z

Source-reported events for the cited work

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Observation 6fad08b8-c369-41ae-a138-db955a890b15 · outbound

This paper cites Precipitation nowcasting diffusion model based on fluid dynamics and multisource data,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Precipitation nowcasting diffusion model based on fluid dynamics and multisource data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.632465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1148a266-f860-40c0-a8fa-f1a49c7020c7 · outbound

This paper cites Applications of radar-based nowcasting techniques for mesoscale weather forecasting in hong kong,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Applications of radar-based nowcasting techniques for mesoscale weather forecasting in hong kong,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.619773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c465620-c513-4e17-88a0-589e13c8e6a2 · outbound

This paper cites Towards the blending of nwp with nowcast—operation experience in b08fdp,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Towards the blending of nwp with nowcast—operation experience in b08fdp,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.602195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77886d0c-872d-4315-8139-607ad77616fe · outbound

This paper cites Tempee: Temporal– spatial parallel transformer for radar echo extrapolation beyond au- toregression,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Tempee: Temporal– spatial parallel transformer for radar echo extrapolation beyond au- toregression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.588476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14693c12-b405-42ad-ad7c-f96c25ef8540 · outbound

This paper cites Remnet: Recurrent evolution memory-aware network for accurate long-term weather radar echo extrapolation,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Remnet: Recurrent evolution memory-aware network for accurate long-term weather radar echo extrapolation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.575575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75b10ca5-98c6-4836-953e-49db70eefbbd · outbound

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

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.180509Z

Source-reported events for the cited work

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Observation bc4c5130-8bdf-47f3-b6ca-cb90da8a8dfd · outbound

This paper cites A hybrid approach to physical and deep learning models for radar-based precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting A hybrid approach to physical and deep learning models for radar-based precipitation nowcasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.556212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55a8626f-94d2-47db-9ae6-37a4194f6176 · outbound

This paper cites Earthformer: Exploring space-time transformers for earth system fore- casting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Earthformer: Exploring space-time transformers for earth system fore- casting,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.188112Z

Source-reported events for the cited work

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Observation 6954bb4e-6b63-441b-95e0-03d67ff7a3e1 · outbound

This paper cites Motion-guided global–local aggregation transformer network for precipitation nowcast- ing,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Motion-guided global–local aggregation transformer network for precipitation nowcast- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.534936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3241ba47-721b-480d-86a8-b6c78c506ea3 · outbound

This paper cites Prediff: Precipitation nowcasting with latent diffusion models,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Prediff: Precipitation nowcasting with latent diffusion models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.518565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcc00f75-b66f-4cc2-86d0-33d340f1bfb8 · outbound

This paper cites Experimental study on generative adversarial network for precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Experimental study on generative adversarial network for precipitation nowcasting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.503721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ed411e5-7baf-4a6f-b4fc-adbfe2bca797 · outbound

This paper cites Duocast: Duo-probabilistic diffusion for precipitation nowcast- ing,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Duocast: Duo-probabilistic diffusion for precipitation nowcast- ing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.492388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f66fd45f-7516-4342-978b-979954d71f42 · outbound

This paper cites Alphapre: Amplitude-phase disentanglement model for precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Alphapre: Amplitude-phase disentanglement model for precipitation nowcasting,

Reference 21

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Observation debcf6f7-163c-45e4-9480-b4cceacab3f0 · outbound

This paper cites Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.474022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4853dc1f-5f0d-4024-8394-5c14d0b57a13 · outbound

This paper cites Diffcast: A unified framework via residual diffusion for precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Diffcast: A unified framework via residual diffusion for precipitation nowcasting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.462926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b2044f9-dd82-4bed-960a-fb987251dfcb · outbound

This paper cites CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling

Reference 24

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Observation 6c4ace0e-3dc7-444f-b7bc-3b3a1b5ba03d · outbound

This paper cites The importance of phase in signals,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting The importance of phase in signals,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.450777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12e91bf7-d14f-45b1-8957-f9f66f9efcb2 · outbound

This paper cites Fourier amplitude and correlation loss: Beyond using l2 loss for skillful precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Fourier amplitude and correlation loss: Beyond using l2 loss for skillful precipitation nowcasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.438936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13ef9618-da64-40c1-98f1-b9d1fcfe3612 · outbound

This paper cites Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms,

Reference 27

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Source-reported events for the cited work

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Observation 5fc51068-ae21-4284-8aed-811e8ef67f1b · outbound

This paper cites Memory in memory: A predictive neural network for learning higher-order non-stationarity from spatiotemporal dynamics,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Memory in memory: A predictive neural network for learning higher-order non-stationarity from spatiotemporal dynamics,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.412816Z

Source-reported events for the cited work

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Observation 31d8d541-0724-46c8-a961-25e7de47e3b8 · outbound

This paper cites Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.246675Z

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Observation 1410ff83-65d5-4849-9d1b-a6cbfb6eba2e · outbound

This paper cites Mau: A motion-aware unit for video prediction and beyond,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Mau: A motion-aware unit for video prediction and beyond,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.250327Z

Source-reported events for the cited work

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Observation 100317b8-a2b5-4866-926e-51fa89bd1c38 · outbound

This paper cites Simvp: Simpler yet better video prediction,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Simvp: Simpler yet better video prediction,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.254318Z

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Observation f52a0cd5-e30e-49e0-903e-676d6cea4b19 · outbound

This paper cites Temporal attention unit: Towards efficient spatiotemporal predictive learning,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Temporal attention unit: Towards efficient spatiotemporal predictive learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.374885Z

Source-reported events for the cited work

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Observation eda85f3e-1755-4534-bac3-9f4071433090 · outbound

This paper cites Rainformer: Features extraction balanced network for radar-based precipitation nowcasting,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Rainformer: Features extraction balanced network for radar-based precipitation nowcasting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.362734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a02ae7c5-caac-4adf-b609-45caaedd7d30 · outbound

This paper cites Meteonet, an open reference weather dataset by meteo-france. 2020,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Meteonet, an open reference weather dataset by meteo-france. 2020,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:39:35.349300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f143b2c3-c082-4627-82b9-08bdc8bb2e2c · outbound

This paper cites A deep learning-based method- ology for precipitation nowcasting with radar,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting A deep learning-based method- ology for precipitation nowcasting with radar,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.272064Z

Source-reported events for the cited work

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Observation b23fc4da-ad8e-4111-a010-ab92941ca118 · outbound

This paper cites Disentangling physical dynamics from unknown factors for unsupervised video prediction,.

FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting Disentangling physical dynamics from unknown factors for unsupervised video prediction,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:35.276776Z

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