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Paper Citation Record · LEDGER

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.17189.

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

pith.paper-citation-record.v1
2507.17189 v1

Coverage vector

measured 65 of 65 reference resolution

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measured 65 of 65 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

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation 19c1f901-8a5c-46b9-8785-de8e10c6a17d · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Accurate medium-range global weather forecasting with 3d neural networks

Reference 1

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Observation 9a2cc2ec-4224-49ca-82ae-6a0e85a2b326 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 2

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Observation 9f0697bf-151b-4206-9a2c-80139cd56add · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Unsupervised learning of visual features by contrasting cluster assignments

Reference 3

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Observation b1df2ee5-1edb-4530-9f7f-55d07058d279 · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Mau: A motion- aware unit for video prediction and beyond

Reference 4

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Observation 2ddcf028-5078-44c0-a980-e2ba194faaba · outbound

This paper cites Fengwu: Pushing the skillful global medium- range weather forecast beyond 10 days lead.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Fengwu: Pushing the skillful global medium- range weather forecast beyond 10 days lead

Reference 5

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Observation 34b6ae9c-9e1d-4684-a539-79385587c431 · outbound

This paper cites Mixed autoencoder for self- supervised visual representation learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Mixed autoencoder for self- supervised visual representation learning

Reference 6

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Observation b3b8290d-3ea3-49a1-9913-b83558e77d39 · outbound

This paper cites Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast

Reference 7

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Observation c5ff271d-7577-44bf-9fd0-f48874176d50 · outbound

This paper cites Staa: Spatiotemporal alignment attention for short-term precipita- tion forecasting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Staa: Spatiotemporal alignment attention for short-term precipita- tion forecasting

Reference 8

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Observation a596a378-3d39-4334-a82b-ed9f695c6f0b · outbound

This paper cites Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data

Reference 9

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Observation 3c813790-0330-4cf7-8faa-48321a50ee1d · outbound

This paper cites The atlas of mortality and economic losses from weather, climate and water extremes (1970-2019).

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems The atlas of mortality and economic losses from weather, climate and water extremes (1970-2019)

Reference 10

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Observation f4bea348-9bcc-4b13-9c07-099f4897b142 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Taming transformers for high-resolution image synthesis

Reference 11

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Observation b1ad8501-63e4-4f36-99cf-3d22b91e2363 · outbound

This paper cites Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learn- ing.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learn- ing

Reference 12

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Observation 99dd5413-6493-47b4-b2a3-983123ce4406 · outbound

This paper cites Spatiotemporal attention for multivariate time series prediction and interpretation.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Spatiotemporal attention for multivariate time series prediction and interpretation

Reference 13

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Observation d2a077bc-2348-4846-8da5-cff70fb38a9e · outbound

This paper cites Simvp: Simpler yet better video prediction.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Simvp: Simpler yet better video prediction

Reference 14

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Observation 24823726-fa5c-43b4-85e3-2a5bec1235b3 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Bootstrap your own latent-a new approach to self-supervised learning

Reference 15

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Observation a68534d5-880c-49cb-93ce-4b8dcde78eea · outbound

This paper cites Disentangling physi- cal dynamics from unknown factors for unsupervised video prediction.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Disentangling physi- cal dynamics from unknown factors for unsupervised video prediction

Reference 16

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Observation e547a208-5e9d-4503-bcf8-3c1e201ee979 · outbound

This paper cites Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learn- ing.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learn- ing

Reference 17

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Observation 520f6258-4db7-40b4-bbba-4405a73af3c1 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Momentum contrast for unsupervised visual rep- resentation learning

Reference 18

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Observation a02c1a31-3652-4767-b5f2-d08e562ebb5f · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Imagen Video: High Definition Video Generation with Diffusion Models

Reference 19

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Observation 3c8525d1-2b1c-4285-bab9-e317b75d29b6 · outbound

This paper cites A dynamic multi-scale voxel flow network for video prediction.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems A dynamic multi-scale voxel flow network for video prediction

Reference 20

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Observation 7ef7e40d-f57e-4089-bf08-85ecca270f33 · outbound

This paper cites Relative importance of meteorological vari- ables on air quality and role of boundary layer height.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Relative importance of meteorological vari- ables on air quality and role of boundary layer height

Reference 21

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Observation 3e05bfcb-8fca-4fbb-9bcf-d19c4647b763 · outbound

This paper cites Applicability analysis of transformer to wind speed forecasting by a novel deep learn- ing framework with multiple atmospheric variables.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Applicability analysis of transformer to wind speed forecasting by a novel deep learn- ing framework with multiple atmospheric variables

Reference 22

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Observation 3c3e162b-e67f-492b-84ed-1caac8180fcb · outbound

This paper cites Kingma and Jimmy Ba.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Kingma and Jimmy Ba

Reference 23

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Observation 3319ca8a-69f3-4297-a887-8c2d08cb5ed8 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 24

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Observation c61dc8d4-a2b2-4275-9466-b6f7db6c030b · outbound

This paper cites Similarity of neural network represen- tations revisited.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Similarity of neural network represen- tations revisited

Reference 25

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Observation 9188e83e-ac30-4515-9e75-6770b6055450 · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Learning skillful medium-range global weather forecasting

Reference 26

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Observation 7460b3b1-2fe9-42a6-92e0-747fe6193613 · outbound

This paper cites A comprehensive sur- vey on design and application of autoencoder in deep learn- ing.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems A comprehensive sur- vey on design and application of autoencoder in deep learn- ing

Reference 27

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Observation 8d898f79-4ede-4c8f-987d-e7c6d5de5114 · outbound

This paper cites Moganet: Multi-order gated aggregation network.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Moganet: Multi-order gated aggregation network

Reference 28

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Observation a9f0846c-c105-4987-b094-f51eca8dff3e · outbound

This paper cites Moganet: Multi-order gated aggregation network.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Moganet: Multi-order gated aggregation network

Reference 29

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Observation 3380a65a-7457-4821-b7e7-abb96193667f · outbound

This paper cites Mergevq: A unified framework for visual generation and representation with dis- entangled token merging and quantization.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Mergevq: A unified framework for visual generation and representation with dis- entangled token merging and quantization

Reference 30

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Observation e16249ce-e309-49b3-bab5-ac083a4b4b53 · outbound

This paper cites Conditional local convolution for spatio- temporal meteorological forecasting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Conditional local convolution for spatio- temporal meteorological forecasting

Reference 31

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Observation 67c90321-cd2a-4880-9946-c3c30947ae99 · outbound

This paper cites Spacetime separable la- tent diffusion model with intensity structure information for precipitation nowcasting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Spacetime separable la- tent diffusion model with intensity structure information for precipitation nowcasting

Reference 32

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Observation 0492e103-940f-4047-9403-82db18f1567b · outbound

This paper cites A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data

Reference 33

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verified fuzzy
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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.

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Observation 855518af-5282-42d4-bb8a-3d7cae36b91b · outbound

This paper cites A convnet for the 2020s.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems A convnet for the 2020s

Reference 34

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unresolved
no resolver link, observed 2026-08-06T15:02:35.373409Z

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Observation 7ce8fb87-b5a4-4440-a564-32eb36106427 · outbound

This paper cites Histgnn: Hierarchical spatio- temporal graph neural network for weather forecasting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Histgnn: Hierarchical spatio- temporal graph neural network for weather forecasting

Reference 35

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-06T15:02:35.378603Z digest=sha256:a1fc4855b163e173b08b77c1e65faeca7a9818b92deeb0c21c09ea118f6fb5f5

Observation f6886418-ad32-4dee-ad61-117a2924b8c3 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Latte: Latent Diffusion Transformer for Video Generation

Reference 36

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unresolved
no resolver link, observed 2026-08-06T15:02:35.383349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25be7d37-95c9-45d8-8c8a-3a8a401aa023 · outbound

This paper cites Sensitivity of meteorological-forcing resolution on hy- drologic variables.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Sensitivity of meteorological-forcing resolution on hy- drologic variables

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.243994Z

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.

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Observation 67a62748-2324-4f1b-a2cb-9cad1c1abe0c · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Conditional image-to-video gener- ation with latent flow diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.225921Z

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.

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Observation b98823e0-028d-4126-b0ef-5cdc7c31aba6 · outbound

This paper cites Triplet attention transformer for spatiotemporal predictive learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Triplet attention transformer for spatiotemporal predictive learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.208992Z

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.

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Observation 7ce4af6e-8c98-4494-9e13-fc338bbe3de8 · outbound

This paper cites Wavelet-driven spatiotemporal predictive learning: Bridg- ing frequency and time variations.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Wavelet-driven spatiotemporal predictive learning: Bridg- ing frequency and time variations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.192023Z

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.

source=pdf_text observed=2026-08-06T15:02:35.402828Z digest=sha256:9981f4347c80aa4d11e7542bceb836783486542d61e5950c333556b5e63790c3

Observation 526c686a-e4cf-4781-9b5e-9952ddf50ed0 · outbound

This paper cites Recurrent neural network modeling of multivariate time series and its application in temperature forecasting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Recurrent neural network modeling of multivariate time series and its application in temperature forecasting

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.169114Z

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.

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Observation 306439b5-b15d-4037-8f2e-60a9fb8d8b3b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems DINOv2: Learning Robust Visual Features without Supervision

Reference 42

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unresolved
no resolver link, observed 2026-08-06T15:02:35.411713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b0b8d4e-321a-4e47-b5fc-91ac67d15ecd · outbound

This paper cites An interpretable multi-stage forecasting framework for energy consumption and co2 emissions for the transportation sector.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems An interpretable multi-stage forecasting framework for energy consumption and co2 emissions for the transportation sector

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.153861Z

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.

source=pdf_text observed=2026-08-06T15:02:35.415885Z digest=sha256:2f7c31932ad1712f6cbbf16471519f1fcb85ee579797153d2cb6229c7e1ea109

Observation 30b879f9-27ad-4d76-b238-bc149cbe1810 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Learning transferable visual models from natural language supervi- sion

Reference 44

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unresolved
no resolver link, observed 2026-08-06T15:02:35.420411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:35.420411Z digest=sha256:0b327e11a8e0697a6a7e6e04f7976ad47f2ec6af75fcfce41347ba56a958d70a

Observation 33b0027e-9066-4f9e-b238-cb74fc706c3f · outbound

This paper cites Hornet: Efficient high- order spatial interactions with recursive gated convolutions.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Hornet: Efficient high- order spatial interactions with recursive gated convolutions

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.128976Z

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.

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Observation f4117ad2-9bb9-49d0-8cb9-d7b5adc17eef · outbound

This paper cites Weather- bench: a benchmark data set for data-driven weather fore- casting.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Weather- bench: a benchmark data set for data-driven weather fore- casting

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.115221Z

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.

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Observation 4840e73e-4d59-490b-ae1f-619965e80da8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems High-resolution image synthesis with latent diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.101691Z

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.

source=pdf_text observed=2026-08-06T15:02:35.432815Z digest=sha256:ef77bed44ce4fda105ac889bdd95c134f1dcfcbcd708f6cb5e0638585c9be999

Observation 2b410194-8bd4-4dbf-8031-66ec2d6a6945 · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Convolutional lstm network: A machine learning approach for precipitation nowcasting

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.087881Z

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.

source=pdf_text observed=2026-08-06T15:02:35.436984Z digest=sha256:86b47ebbfcca2e0144ffa0f07bc1ae0a680a2795e43d067bad37803acb8e1ffd

Observation 3baab114-95ff-413c-a7cd-677d88e0819b · outbound

This paper cites Unsupervised learning of video representations using lstms.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Unsupervised learning of video representations using lstms

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.073252Z

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.

source=pdf_text observed=2026-08-06T15:02:35.441284Z digest=sha256:9ca3940280e05ed15b5576b833ab71fcd76ba27e89658c416546cf06215ec5a2

Observation 93aa1972-48a1-4f77-b716-f7c3ca004de6 · outbound

This paper cites Temporal attention unit: To- wards efficient spatiotemporal predictive learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Temporal attention unit: To- wards efficient spatiotemporal predictive learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.058514Z

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.

source=pdf_text observed=2026-08-06T15:02:35.445482Z digest=sha256:51edd0bf1ab6ab4bade75e48c8155467687efcda5a43ba1eb2a0ba49e9abd96c

Observation ff653bb3-48ad-40f5-9c48-44783f1c505e · outbound

This paper cites Open- stl: A comprehensive benchmark of spatio-temporal predic- tive learning.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Open- stl: A comprehensive benchmark of spatio-temporal predic- tive learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.044094Z

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.

source=pdf_text observed=2026-08-06T15:02:35.449674Z digest=sha256:a5659c8a089d168a879dd6bec74fb13d83be54dd34ecf6ac686c808efedeb969

Observation 56dc2015-3096-415e-a11e-51b351d39869 · outbound

This paper cites Hydrologic extremes in a changing climate: a review of extremes in east africa.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Hydrologic extremes in a changing climate: a review of extremes in east africa

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.029733Z

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.

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Observation f42f3086-bf18-49f2-b153-08f81a9db226 · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.015200Z

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.

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Observation 1292e95e-8920-4862-8654-1bf5d175acfd · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learn- ing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:36.000390Z

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.

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Observation 77e319f6-16f3-40c4-a334-cb01905f2fd5 · outbound

This paper cites Eidetic 3d lstm: A model for video prediction and beyond.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Eidetic 3d lstm: A model for video prediction and beyond

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.985116Z

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.

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Observation c2f7904f-e1ac-449c-81d9-6885cc1b5344 · outbound

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

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Memory in memory: A predictive neural network for learning higher-order non- stationarity from spatiotemporal dynamics

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.968275Z

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.

source=pdf_text observed=2026-08-06T15:02:35.471825Z digest=sha256:6eb16124525c93be4e630fcaa85fefb7455453dbf3348dabea0f59cb2b626fc7

Observation 59bcd720-109a-44c6-9458-87a0f19cc141 · outbound

This paper cites A review of wind speed and wind power fore- casting with deep neural networks.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems A review of wind speed and wind power fore- casting with deep neural networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.951377Z

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.

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Observation 2a29c888-5319-4b8c-b852-f473a92088c4 · outbound

This paper cites Predrnn: A recurrent neural network for spatiotemporal predictive learn- ing.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Predrnn: A recurrent neural network for spatiotemporal predictive learn- ing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.935112Z

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.

source=pdf_text observed=2026-08-06T15:02:35.480464Z digest=sha256:dbd22148e13c7849c0518f879fabe1c6dd65f1b2ca5752abf3a7a432028e860c

Observation e127e4d7-7128-4342-8314-60174b923251 · outbound

This paper cites iVideoGPT: Interactive VideoGPTs are Scalable World Models.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 59

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unresolved
no resolver link, observed 2026-08-06T15:02:35.484872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:35.484872Z digest=sha256:ef3ac03f7b40e326ef6a10d2735d2eb7cc0feb05cab7d58a0ecc06f5d5c4e6dc

Observation e0299797-077e-4037-8db1-5c3640d2d460 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:35.489694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:35.489694Z digest=sha256:d9e0447635f2515776fdb783a2d5b86cc7946b4d2c4be541fe245ef1e0db3543

Observation 9e53572b-96f4-4f96-b7aa-1cb11300efc4 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:35.494462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:35.494462Z digest=sha256:b86e9e00bf07faf685185bb558542bff360cf783686acf13c5b08da40ff32544

Observation fa58504c-648d-4ecf-bd9b-6538a48c9028 · outbound

This paper cites Magvit: Masked generative video transformer.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Magvit: Masked generative video transformer

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.920550Z

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.

source=pdf_text observed=2026-08-06T15:02:35.499189Z digest=sha256:12f5f5d67321cb8d937eeeb4b994234afde3af75c76ca49a5240b82fa042f630

Observation bb24ecdd-a9b2-45c0-831f-287052300e2c · outbound

This paper cites Video probabilistic diffusion models in projected latent space.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Video probabilistic diffusion models in projected latent space

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.906384Z

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.

source=pdf_text observed=2026-08-06T15:02:35.503676Z digest=sha256:913333be74325d78c40c6a799cad938c541017e827c6ac869c657413cede1a75

Observation 34e1ffd3-48db-440e-8c85-1665701dafa1 · outbound

This paper cites Experimental Setup for Variable Distributions Data Distributions.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems Experimental Setup for Variable Distributions Data Distributions

Reference 65

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:02:35.680042Z

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.

source=pdf_text observed=2026-08-06T15:02:35.512399Z digest=sha256:eefb4731c1b0a81e396edeee45186a403f3c10ee9db1cbc427db20226946e50d

Observation 2c177872-522a-47ff-8f07-5cdc32654471 · outbound

This paper cites # E1, E2: encoders.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems # E1, E2: encoders

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:02:35.891560Z

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.

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Pith citing papers

No inbound Pith citation observations are available.