Paper Citation Record · LEDGER

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.24067.

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

pith.paper-citation-record.v1
2605.24067 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:02:25.215400Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy35
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201968ce-1a1f-41d2-b0a0-d2d67b96a91e · outbound

This paper cites The quiet revolution of numerical weather prediction.Nature, 525(7567):47–55, 2015.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers The quiet revolution of numerical weather prediction.Nature, 525(7567):47–55, 2015

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.878288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f18db0ae-9ea4-492a-8458-10709ef78289 · outbound

This paper cites an unresolved cited work.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-07-08T18:55:28.917695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14f12d05-aed3-438d-8a3b-2266b4d88d53 · outbound

This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Crossvit: Cross-attention multi- scale vision transformer for image classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.920978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a91027ae-d23b-4b96-a42b-9031dca02522 · outbound

This paper cites Datasets.https://rda.ucar.edu/datasets/d841006/, 2025.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Datasets.https://rda.ucar.edu/datasets/d841006/, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.922543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53d11010-c5de-4773-a76b-75e93acffe1d · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Gate-variants of gated recurrent unit (gru) neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.883485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0240539b-7c51-4914-ac3c-2f6c20d9e916 · outbound

This paper cites Flash flood forecasting: An ingredients-based methodology.Weather and forecasting, 11(4):560–581, 1996.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Flash flood forecasting: An ingredients-based methodology.Weather and forecasting, 11(4):560–581, 1996

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.890737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5c164c9-e9ba-455c-bdca-1982f3e12639 · outbound

This paper cites Coalescence microseismic mapping.Geophysical Journal International, 195(3):1773–1785, 2013.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Coalescence microseismic mapping.Geophysical Journal International, 195(3):1773–1785, 2013

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.894054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 377e9d73-20a2-47df-8a95-3020802275f8 · outbound

This paper cites Substantial convection and precipitation enhancements by ultrafine aerosol particles.Science, 359(6374):411–418, 2018.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Substantial convection and precipitation enhancements by ultrafine aerosol particles.Science, 359(6374):411–418, 2018

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.892434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e44c27e-1889-410a-81e8-3e5e564a6259 · outbound

This paper cites Simvp: Simpler yet better video prediction.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Simvp: Simpler yet better video prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.909218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2daece51-92ab-4cc4-926f-dc95b1a96d2f · outbound

This paper cites Earthformer: Exploring space-time transformers for earth system forecasting.Advances in Neural Information Processing Systems, 35:25390–25403.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Earthformer: Exploring space-time transformers for earth system forecasting.Advances in Neural Information Processing Systems, 35:25390–25403

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.907599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1cd4fb1-4139-41d0-b3c5-ff0abd8e4a9d · outbound

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

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Disentangling physical dynamics from unknown factors for unsupervised video prediction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.897323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 807ff3a1-579d-4bf4-a480-d9537e99b0e9 · outbound

This paper cites WF-UNet: Weather Fusion UNet for Precipitation Nowcasting.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers WF-UNet: Weather Fusion UNet for Precipitation Nowcasting

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:04:46.230689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbd612e0-6b3b-4306-8318-7fefe294ca13 · outbound

This paper cites Interactions between aerosol absorption, thermodynamics, dynamics, and microphysics and their impacts on a multiple-cloud system.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Interactions between aerosol absorption, thermodynamics, dynamics, and microphysics and their impacts on a multiple-cloud system

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.912669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0253d682-64de-4fed-8aa6-a64d4dcc871c · outbound

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

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Alphapre: Amplitude-phase disentanglement model for precipitation nowcasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.869791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 481744f6-745c-4e80-a6d2-fb2a4080ffcc · outbound

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

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Alphapre: Amplitude-phase disentanglement model for precipitation nowcasting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.919342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5130f20a-7092-4526-88dd-f9a47d07aa97 · outbound

This paper cites 2025 guizhou floods.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers 2025 guizhou floods

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.927507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5cb150c-6822-4a7d-8420-f7c7ba9e9fdd · outbound

This paper cites 2025 guizhou floods.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers 2025 guizhou floods

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.876495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c685db8-717f-4726-b33c-e3cf6b541a4d · outbound

This paper cites an unresolved cited work.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Unresolved cited work

Reference 18

Resolution: parse uncertain; raw_fallback, observed 2026-07-08T18:55:28.874936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8355ed4a-78b1-494e-a291-0381b0db581c · outbound

This paper cites Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep-learning model.Geophysical Research Letters, 48(21):e2021GL095302, 2021.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep-learning model.Geophysical Research Letters, 48(21):e2021GL095302, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.914389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d6a7cf9-d227-4370-9360-671fefcf5e8a · outbound

This paper cites an unresolved cited work.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-07-08T18:55:28.904073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a2cb5de-0a65-45f7-8b55-63adecdc0e27 · outbound

This paper cites Skilful pre- cipitation nowcasting using deep generative models of radar.Nature, 597(7878):672–677.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Skilful pre- cipitation nowcasting using deep generative models of radar.Nature, 597(7878):672–677

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.916117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 243bd6d9-069f-48eb-ba24-0b4302132b9f · outbound

This paper cites Early warning of complex climate risk with integrated artificial intelligence.Nature Communications, 16(1):2564, 2025.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Early warning of complex climate risk with integrated artificial intelligence.Nature Communications, 16(1):2564, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.895676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5b498c0-e83d-4a43-b9bb-e5925db60e94 · outbound

This paper cites Onset of convection in a gravitationally unstable diffusive boundary layer in porous media.Journal of Fluid Mechanics, 548:87–111, 2006.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Onset of convection in a gravitationally unstable diffusive boundary layer in porous media.Journal of Fluid Mechanics, 548:87–111, 2006

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.905792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d7394d6-36ab-45c5-89ef-7affaebbb79a · outbound

This paper cites The formation, character and changing nature of mesoscale convective systems.Nature Reviews Earth & Environment, 1(6):300–314, 2020.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers The formation, character and changing nature of mesoscale convective systems.Nature Reviews Earth & Environment, 1(6):300–314, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.910951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b939a938-bec3-4b61-bd33-1db86b56560c · outbound

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

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Convolutional lstm network: A machine learning approach for precipitation nowcasting

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.924216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 869712cf-953d-44ae-80f3-8fc9e870ed9a · outbound

This paper cites Deep learning for precipitation nowcasting: A benchmark and a new model.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Deep learning for precipitation nowcasting: A benchmark and a new model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.902541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26b2ea9b-d739-442d-a5f7-8afdc863d40a · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Attention is all you need.Advances in neural information processing systems, 30

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.899051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c199a277-b23d-4b44-8e9d-7be9c7c80653 · outbound

This paper cites Eight kinetically stable but thermodynami- cally activated molecules that power cell metabolism.Chemical reviews, 118(4):1460–1494, 2018.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Eight kinetically stable but thermodynami- cally activated molecules that power cell metabolism.Chemical reviews, 118(4):1460–1494, 2018

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.925919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7c31e1b-4499-4eba-a745-989722d3de6a · outbound

This paper cites Nuwadynamics: Discovering and updating in causal spatio-temporal modeling.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Nuwadynamics: Discovering and updating in causal spatio-temporal modeling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.900671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b86ed8e-3102-4a6a-b65d-0fc765932c96 · outbound

This paper cites Predrnn: A recurrent neural network for spatiotemporal predictive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2208–2225, 2022.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Predrnn: A recurrent neural network for spatiotemporal predictive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2208–2225, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.867981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f1c1b07-6034-45c5-8ea8-905ff25d29ed · outbound

This paper cites Operational application of optical flow techniques to radar-based rainfall nowcasting.Atmosphere, 8(3):48, 2017.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Operational application of optical flow techniques to radar-based rainfall nowcasting.Atmosphere, 8(3):48, 2017

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.887243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7619a5d2-d823-49cc-b34c-a3fee9265aa9 · outbound

This paper cites Earthfarsser: Versatile spatio-temporal dynamical systems modeling in one model.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Earthfarsser: Versatile spatio-temporal dynamical systems modeling in one model

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.873161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a4c4267-62a6-4ea9-8607-2994e9009355 · outbound

This paper cites Pastnet: Introducing physical inductive biases for spatio-temporal video prediction.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Pastnet: Introducing physical inductive biases for spatio-temporal video prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.866093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2c2510b-ce74-4e50-aff4-959c392ede24 · outbound

This paper cites Scientific challenges of convective-scale numerical weather prediction.Bulletin of the American Meteorological Society, 99(4):699–710, 2018.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Scientific challenges of convective-scale numerical weather prediction.Bulletin of the American Meteorological Society, 99(4):699–710, 2018

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.885323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 213aed12-f95a-4a84-bea8-c325aedadea8 · outbound

This paper cites Video prediction by efficient transformers.Image and Vision Computing, 130:104612, 2023.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Video prediction by efficient transformers.Image and Vision Computing, 130:104612, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.889033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bec283c5-d7c7-4e3b-b700-ecc8db4c93f4 · outbound

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

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Diffcast: A unified framework via residual diffusion for precipitation nowcasting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.871483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0162e792-2794-46e2-a1f0-bb3abd4bca5d · outbound

This paper cites Skilful nowcasting of extreme precipitation with nowcastnet.Nature, 619 (7970):526–532.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Skilful nowcasting of extreme precipitation with nowcastnet.Nature, 619 (7970):526–532

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.929335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0642835a-f655-4325-b7db-4940e24a1df7 · outbound

This paper cites A typology of compound weather and climate events.Nature reviews earth & environment, 1(7):333–347, 2020.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers A typology of compound weather and climate events.Nature reviews earth & environment, 1(7):333–347, 2020

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.880097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9e1a0f6-7dff-4e64-9853-ebedfb208b2c · outbound

This paper cites We adopt the Adam optimizer with the learning rate set to1×10 −3.

Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers We adopt the Adam optimizer with the learning rate set to1×10 −3

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T18:55:28.881812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.