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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling

As of 8 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2607.13101.

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measured 71 of 71 reference resolution

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Outbound references

Observation b60b86af-5d33-44e3-8186-65d3eec6eb57 · outbound

This paper cites [Online].

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling [Online]

Reference 1

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Observation 34b88ca9-9544-4a0f-8a02-559e576156e2 · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Interpretable weather forecasting for worldwide stations with a unified deep model,

Reference 2

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Observation 859297bc-44a4-4e22-84be-99f6ee2ea7a9 · outbound

This paper cites How climate change affects extreme weather events,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling How climate change affects extreme weather events,

Reference 4

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Observation a84c6d55-c6eb-4816-9887-6e3a88ff3136 · outbound

This paper cites On the foundations of earth foundation models,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling On the foundations of earth foundation models,

Reference 5

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Observation a0128032-8a29-4610-a349-ac80242ef9f3 · outbound

This paper cites Are transformers effective for time series forecasting?.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Are transformers effective for time series forecasting?

Reference 6

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Observation fca77e4c-9283-4bcf-890b-82c24051f275 · outbound

This paper cites Cyclenet: Enhancing time series forecasting through modeling periodic patterns,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Cyclenet: Enhancing time series forecasting through modeling periodic patterns,

Reference 7

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Observation b089e1d0-61dd-49cc-b924-8ba6e2853819 · outbound

This paper cites Deriving accurate surface meteorological states at arbitrary locations via observation-guided continous neural field modeling,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Deriving accurate surface meteorological states at arbitrary locations via observation-guided continous neural field modeling,

Reference 8

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Observation 580fbe86-9651-4da5-8f20-630a49d8dba1 · outbound

This paper cites Transductive lstm for time-series prediction: An application to weather forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Transductive lstm for time-series prediction: An application to weather forecasting,

Reference 9

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Observation b781e638-e6a8-442c-bccd-548d5e765962 · outbound

This paper cites Recurrent neural net- works for time series forecasting: Current status and future directions,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Recurrent neural net- works for time series forecasting: Current status and future directions,

Reference 10

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Observation 772e4eb6-6fa8-468c-924d-5cee09667248 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 11

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Observation 97f4674c-7c6d-4323-97ae-34f0a49c32e2 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 12

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Observation 2fd61a6b-2916-472b-b013-5473bc96d6ea · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,

Reference 13

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Observation ec9f9a4b-2c3b-4556-af4a-a3f829241b83 · outbound

This paper cites TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state

Reference 14

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Observation 42d9ee0f-1cf4-4448-9734-50a696f149a6 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

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Observation 1df9b3dd-17ec-4464-88ea-3014fffa73d4 · outbound

This paper cites Mambads: Near-surface meteorological field downscaling with topog- raphy constrained selective state space modeling,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Mambads: Near-surface meteorological field downscaling with topog- raphy constrained selective state space modeling,

Reference 16

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Observation 9d5cb6cd-ea67-4283-893d-f5aaea44d0e9 · outbound

This paper cites Regional weather variable predictions by machine learning with near-surface observational and atmospheric numerical data,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Regional weather variable predictions by machine learning with near-surface observational and atmospheric numerical data,

Reference 17

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Observation 6d48be06-e0d3-423a-9922-fe07d2544dc2 · outbound

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling The quiet revolution of numerical weather prediction,

Reference 18

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Observation 476def4e-f449-4ae3-955f-edb5d68155ff · outbound

This paper cites WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast

Reference 19

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 20

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Unresolved cited work

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Distribution of the estimators for autoregressive time series with a unit root,

Reference 22

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This paper cites Stationarity is dead: Whither water management?.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Stationarity is dead: Whither water management?

Reference 23

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Observation ea6bbf20-c16e-4338-bca9-f21784693ceb · outbound

This paper cites Indication of a universal persistence law governing atmospheric variability,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Indication of a universal persistence law governing atmospheric variability,

Reference 24

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Observation 1ecaba4b-e614-4dcf-b4b4-8015d7883f33 · outbound

This paper cites Atmospheric predictability as revealed by naturally occurring analogues,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Atmospheric predictability as revealed by naturally occurring analogues,

Reference 25

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This paper cites Temperature prediction using the missing data refinement model based on a long short-term memory neural network,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Temperature prediction using the missing data refinement model based on a long short-term memory neural network,

Reference 26

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Observation 98447428-7ac3-4897-b48c-602a7d3866d8 · outbound

This paper cites Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Reference 27

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This paper cites Mcann: A mixture clustering-based attention neural network for multivariate time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Mcann: A mixture clustering-based attention neural network for multivariate time series forecasting,

Reference 28

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 29

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Modeling long- and short-term temporal patterns with deep neural networks,

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

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Accurate medium-range global weather forecasting with 3d neural networks,

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Learning skillful medium-range global weather forecasting,

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Gencast: Diffusion-based ensemble forecasting for medium-range weather,

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Fuxi: A cascade machine learning forecasting system for 15-day global weather forecast,

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Cardy Expansion of 3d Superconformal Indices and Corrections to the Dual Black Hole Entropy

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TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling The era5 global reanalysis,

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Observation 70315517-e613-4cf3-bab5-05eb99145669 · outbound

This paper cites Skillful radar-based heavy rainfall nowcasting using task-segmented generative adversarial network,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Skillful radar-based heavy rainfall nowcasting using task-segmented generative adversarial network,

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Observation 780d2dea-b9e8-4232-878a-e53702a7fec1 · outbound

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

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling A short-long term sequence learning network for pre- cipitation nowcasting,

Reference 39

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Observation af5b3a99-0360-4237-aaaa-7f20d6bfe8f6 · outbound

This paper cites Coordinate-transformed dynamic mode decomposition for short-term rainfall forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Coordinate-transformed dynamic mode decomposition for short-term rainfall forecasting,

Reference 40

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Observation fc93a173-74a0-4ae7-ba28-c38175906aa2 · outbound

This paper cites Improved precipitation nowcasting through a deep learning model based on three-dimensional cloud structures,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Improved precipitation nowcasting through a deep learning model based on three-dimensional cloud structures,

Reference 41

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Observation 1de13aa1-70cc-4eae-8806-63f11d95c1d3 · outbound

This paper cites A deep learning-based precipitation nowcasting model fusing gnss-pwv and radar echo observations,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling A deep learning-based precipitation nowcasting model fusing gnss-pwv and radar echo observations,

Reference 42

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Observation 062f57c3-39e3-4f45-85d6-439daae00b1b · outbound

This paper cites Rsg-gan: A gan-based precipitation nowcasting model integrating radar qpe, goes-16 swd, and gnss ztds,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Rsg-gan: A gan-based precipitation nowcasting model integrating radar qpe, goes-16 swd, and gnss ztds,

Reference 43

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Observation d305f862-e08e-476d-928c-70ca58f913cc · outbound

This paper cites Unveiling the role of weighted loss functions in deep learning-based nowcasting of extreme rainfall events,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Unveiling the role of weighted loss functions in deep learning-based nowcasting of extreme rainfall events,

Reference 44

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Observation 769dc12e-d6b6-4353-a143-bbc714e8c5a5 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling A time series is worth 64 words: Long-term forecasting with transformers,

Reference 45

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Observation d2e036a3-38c2-4fd3-b06b-0211ec526e10 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 46

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Observation 5651f60d-5ecc-4012-86c7-4a960d04bf51 · outbound

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

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Earthformer: Exploring space-time transformers for earth system fore- casting,

Reference 47

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Observation 2d546b80-6708-495c-9801-3b8817c4a9e1 · outbound

This paper cites Softs: Efficient multi- variate time series forecasting with series-core fusion,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Softs: Efficient multi- variate time series forecasting with series-core fusion,

Reference 48

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Observation fda1dcb6-0c19-47b1-bb85-1e53df3a4607 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 49

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Observation 71cd445f-64dc-4072-9135-6c68c3f7ee5d · outbound

This paper cites Time-ffm: Towards lm- empowered federated foundation model for time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Time-ffm: Towards lm- empowered federated foundation model for time series forecasting,

Reference 50

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Observation d89cbe3e-2f71-4721-a13b-4a000712d71e · outbound

This paper cites Mofo: Empowering long-term time series forecasting with periodic pat- tern modeling,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Mofo: Empowering long-term time series forecasting with periodic pat- tern modeling,

Reference 51

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Observation 08e0a2ac-4ed9-4bdc-bbf5-3c7db1396d92 · outbound

This paper cites Climax: A foundation model for weather and climate,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Climax: A foundation model for weather and climate,

Reference 52

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Observation c270414c-f6ee-4e63-9540-dc52717cb58d · outbound

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

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Skilful precipitation nowcasting using deep generative models of radar,

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Observation 540ba29a-5872-4e41-a13f-ca41a8af9e38 · outbound

This paper cites From news to forecast: Integrating event analysis in llm-based time series forecasting with reflection,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling From news to forecast: Integrating event analysis in llm-based time series forecasting with reflection,

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Observation cb1eb9a5-ec2a-4b33-81e3-f44b52ca620e · outbound

This paper cites Corrformer: Correlation-aware transformer for multivariate time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Corrformer: Correlation-aware transformer for multivariate time series forecasting,

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Observation dd17d66b-4502-44e8-91e5-82c8dd5dd27f · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,

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Observation c383a09e-05ad-482e-8dbc-c8a2c18e23ce · outbound

This paper cites Multivariate probabilistic time series fore- casting with correlated errors,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Multivariate probabilistic time series fore- casting with correlated errors,

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Observation bc9885ba-7bc6-4a44-8427-4936d0416fbe · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling A decoder-only foundation model for time-series forecasting

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Observation 1710e2e9-f14a-445d-82fa-3e463bf11952 · outbound

This paper cites Chronos: Learning the language of time series,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Chronos: Learning the language of time series,

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Observation a9bf6a62-dbb1-4e21-b7a3-3f45b20910a4 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Efficiently modeling long sequences with structured state spaces,

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Observation 64bbeca7-0018-46b4-a610-656762902f12 · outbound

This paper cites Transformers are ssms: Generalized models and ef- ficient algorithms through structured state space duality,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Transformers are ssms: Generalized models and ef- ficient algorithms through structured state space duality,

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Observation a2bbcd75-4481-4f42-afeb-75f92d22f782 · outbound

This paper cites Phaseformer: From patches to phases for efficient and effective time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Phaseformer: From patches to phases for efficient and effective time series forecasting,

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Observation 5979ef43-6765-4280-adbd-835349ab1de8 · outbound

This paper cites Diffusion-ts: Interpretable diffusion for general time series generation,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Diffusion-ts: Interpretable diffusion for general time series generation,

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Observation 0faf84e0-2fd9-4cb5-b927-8353bc84125c · outbound

This paper cites Temporal query network for efficient multivariate time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Temporal query network for efficient multivariate time series forecasting,

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Observation 7b3dbe5e-3a45-4d67-8e21-ed5563be64dd · outbound

This paper cites Mgru: A multi-scale gated recurrent unit with long-memory structure for mid-to-long term time series forecasting,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Mgru: A multi-scale gated recurrent unit with long-memory structure for mid-to-long term time series forecasting,

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Observation a2caba7c-08ff-4c20-bfb0-75fa9a4e7921 · outbound

This paper cites xlstm-mixer: Multivariate time series forecasting by mixing via scalar memories,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling xlstm-mixer: Multivariate time series forecasting by mixing via scalar memories,

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Observation 0da22662-fa8b-4816-9bc1-ce4b0f94be9f · outbound

This paper cites MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning

Reference 67

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Observation 57878629-262f-4f75-a310-80fc180a2a1b · outbound

This paper cites Merlin: Multi-view representation learning for robust multivari- ate time series forecasting with unfixed missing rates,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Merlin: Multi-view representation learning for robust multivari- ate time series forecasting with unfixed missing rates,

Reference 68

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Observation 37af40ca-bb3d-4122-b58d-53496bcfe6ef · outbound

This paper cites IFS Documentation CY49R1 – Part V: Ensemble Prediction System,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling IFS Documentation CY49R1 – Part V: Ensemble Prediction System,

Reference 69

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Observation 62e44fb6-7596-4536-89b0-dd729f6bb2c1 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling A time series is worth 64 words: Long-term forecasting with transformers,

Reference 70

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Observation 9b7145cd-69a4-4672-8180-c5918bdc610c · outbound

This paper cites Chronos-2: A local-global framework for foundation models of time series,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Chronos-2: A local-global framework for foundation models of time series,

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Observation b01ae1df-7d8d-4d4b-930a-f3b02d1f9e0b · outbound

This paper cites Sparsetsf: Modeling long-term time series forecasting with 1k parameters,.

TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling Sparsetsf: Modeling long-term time series forecasting with 1k parameters,

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