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Paper Citation Record · LEDGER

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.29855.

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

pith.paper-citation-record.v1
2606.29855 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:40:11.232329Z

measured 46 of 46 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation aa9e50c4-036c-4467-a8bf-7f81c18d943f · outbound

This paper cites Expert Systems with Applications268, 126301 (2025).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Expert Systems with Applications268, 126301 (2025)

Reference 1

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Observation 8776beec-7caf-47ba-bdc6-2d05cc9f27e6 · outbound

This paper cites Deep Learning for Day Forecasts from Sparse Observations.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Deep Learning for Day Forecasts from Sparse Observations

Reference 2

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Observation 19ff919c-ca35-4a27-afc2-dd18e0728038 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters19, 1–5 (2022).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs IEEE Geoscience and Remote Sensing Letters19, 1–5 (2022)

Reference 3

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Observation baea5abf-49d8-4023-b40a-5f2f136771a7 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

Reference 4

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Observation a9294a29-de87-406c-9a3f-9628ee6b1d02 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) 31(2018).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS) 31(2018)

Reference 5

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Observation 6e6bcf70-9345-4cdf-9776-1c7de2d7b035 · outbound

This paper cites International Conference on Learning Representations (ICLR) 2023 Workshop on Tackling Climate Change with Machine Learning (2023).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs International Conference on Learning Representations (ICLR) 2023 Workshop on Tackling Climate Change with Machine Learning (2023)

Reference 6

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Observation 2ba8c4ed-757b-470a-8cc5-28c1891a2213 · outbound

This paper cites Nature communications13(1), 5145 (2022).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Nature communications13(1), 5145 (2022)

Reference 7

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Observation 04e16ec4-eabf-47c8-9a6d-0ae7e7d6e9c4 · outbound

This paper cites In: Proceedings of the International Con- ference on Machine Learning (ICML) (2025).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the International Con- ference on Machine Learning (ICML) (2025)

Reference 8

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Observation 474ff91b-cbd9-42ea-83ec-ef6c76647f51 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 9

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Observation 67d0dd8d-1d3b-42f8-938a-6fae4ab9f017 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)36, 78621–78656 (2023).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS)36, 78621–78656 (2023)

Reference 10

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Observation a486f4f8-92a5-40cc-a70c-17fe11f046cc · outbound

This paper cites an unresolved cited work.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Unresolved cited work

Reference 11

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Observation d9a1f596-a320-48ff-8d53-17799665dcc6 · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning (ICML) (2024).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the International Conference on Machine Learning (ICML) (2024)

Reference 12

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Observation 8da3b285-7273-43f8-a3dc-c87783b053ae · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 13

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Observation 49d24f85-c36b-460d-9d51-701d207656c7 · outbound

This paper cites ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting

Reference 14

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Observation 11929c22-c2ef-45cd-808f-7cb96ba19f71 · outbound

This paper cites Masked Autoregressive Model for Weather Forecasting.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Masked Autoregressive Model for Weather Forecasting

Reference 15

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Observation 21ec114b-fc22-4880-a9c7-76b3068c6bee · outbound

This paper cites Technical Report (2020),https://meteofrance.github.io/meteonet/ RainODE 17.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Technical Report (2020),https://meteofrance.github.io/meteonet/ RainODE 17

Reference 16

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Observation a44dc1e6-5223-42f2-a550-e53ac9fdc69d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 17

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Observation 06a97265-8aaa-4b82-b274-39b79ac9cde5 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 18

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Observation 5ac0f3b3-74c1-4cce-8f1f-40b6e2b72d4d · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning (ICML) (2023).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the International Conference on Machine Learning (ICML) (2023)

Reference 19

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Observation adc1dd1c-0f3b-4956-befa-312ef5078156 · outbound

This paper cites Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting

Reference 20

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Observation ca813804-51b8-44d9-9647-b08f4bc9a0a2 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

Reference 21

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Observation a2186201-be38-4d99-8470-76dd1eb7997a · outbound

This paper cites Weather and Forecasting31(1), 329–340 (2016).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Weather and Forecasting31(1), 329–340 (2016)

Reference 22

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Observation 124c0182-58f5-4e38-9951-ab4abba69eae · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2026).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Representations (ICLR) (2026)

Reference 23

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Observation 8677d168-eefc-4b7a-832a-0d651eb6e417 · outbound

This paper cites Mathema- tische Annalen46(2), 167–178 (1895).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Mathema- tische Annalen46(2), 167–178 (1895)

Reference 24

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Observation 2505ddad-4e3a-4746-912e-32723ae2e2cc · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2026).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Representations (ICLR) (2026)

Reference 25

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Observation 442cbf15-b561-487b-956a-f966beb7b7cd · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)28(2015).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS)28(2015)

Reference 26

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Observation 9f4b8329-35ab-4c9e-b0eb-4cb8e4df524a · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)30(2017).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS)30(2017)

Reference 27

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Observation db2a8fbc-6c33-4007-bfcd-4c6ac7009096 · outbound

This paper cites MetNet: A Neural Weather Model for Precipitation Forecasting.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs MetNet: A Neural Weather Model for Precipitation Forecasting

Reference 28

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Observation 4b54da7e-c155-4eda-9298-9638eb337e00 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2026).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Representations (ICLR) (2026)

Reference 29

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Observation a1aad40b-c774-48d3-984a-b10cc27cd319 · outbound

This paper cites arXiv preprint arXiv:2601.20342 (2026).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs arXiv preprint arXiv:2601.20342 (2026)

Reference 30

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This paper cites IEEE Transactions on Multimedia (2025).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs IEEE Transactions on Multimedia (2025)

Reference 31

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This paper cites Transactions on Machine Learning Research (2026) 18 Y.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Transactions on Machine Learning Research (2026) 18 Y

Reference 32

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Observation 51bb4a1b-a505-4cd2-b19d-be7984de5406 · outbound

This paper cites In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 33

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Observation 69e7f59c-e3b3-4323-8c98-81c602b3bda5 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS)33, 22009–22019 (2020).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS)33, 22009–22019 (2020)

Reference 34

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Observation 3f9d600f-06e1-4449-ab86-e7fc5083f5fd · outbound

This paper cites In: International Conference on Learning Rep- resentations (ICLR) (2024).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Rep- resentations (ICLR) (2024)

Reference 35

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Observation dd274bba-7d17-476f-b783-6868039fd811 · outbound

This paper cites Expert Systems with Applications p.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Expert Systems with Applications p

Reference 36

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:5e7fbbe30332ce7246c12b49d7dc539f8eb4946e6613a6b5ba5365045ebf03d0

Observation f20aa5e4-264e-49bb-930a-037ca08bed89 · outbound

This paper cites In: Proceed- ings of the International Conference on Machine Learning (ICML).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceed- ings of the International Conference on Machine Learning (ICML)

Reference 37

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Observation 45fd17cc-799b-4c62-9f6d-b048c7676726 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2019).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Representations (ICLR) (2019)

Reference 38

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Observation 4097793f-6f62-40af-adc6-4574d05ae54e · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 39

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Observation 8294cc9b-9b94-4cc7-a10b-2bb5dc5bd6ca · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 40

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Observation 25c77ce7-d654-41c1-bef9-9e2beeccc9d2 · outbound

This paper cites an unresolved cited work.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Unresolved cited work

Reference 41

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:1157150764a04387e0adbef7be7aa2b77afc2a03d857988bf11cd28c3cdb14c0

Observation e6711e1c-3358-4737-bc52-7af2b1373323 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) 37, 100007–100041 (2024).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Advances in Neural Information Processing Systems (NeurIPS) 37, 100007–100041 (2024)

Reference 42

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:ade8b4750aec8c97c54ed63e756bbdf58a92a5d4bf745a2a4b0be9d5489828c2

Observation 1ce44093-e2b8-45e8-8b8f-50a97ea8664e · outbound

This paper cites an unresolved cited work.

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Unresolved cited work

Reference 43

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:9b5cb428c43bb56c672e84fe2bed69fa2b585eed4536f6a3c555867d323f9ef6

Observation 040d431c-221d-486a-b0db-f790b49a1f13 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 44

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:1f82fec2f96bd164eba4236bbc0ff2a990631d64144cd6fda1608e2a542ed7a4

Observation 60b04df4-98cd-489c-8388-d2c4946aa463 · outbound

This paper cites In: International Conference on Learning Rep- resentations (ICLR) (2020).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs In: International Conference on Learning Rep- resentations (ICLR) (2020)

Reference 45

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source=pdf_text observed=2026-06-30T06:40:11.232329Z digest=sha256:f9c24d195d8b14b38367f219367d2f1bc5424bbd1cb5487a9c659b9a6245a67b

Observation 50de8718-ebe5-4a5f-8a03-c0ac6f2f877d · outbound

This paper cites Scientific Reports14(1), 19024 (2024).

RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs Scientific Reports14(1), 19024 (2024)

Reference 46

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Pith citing papers

No inbound Pith citation observations are available.