Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting | Paper Citation Record

Observation af90fe59-e8a2-4d9f-b7d0-48e9fa2839e6 · outbound

This paper cites Long short-term memory,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Long short-term memory,

Reference 1

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Observation b0e01c57-8d8f-465e-b564-1ddfa0b222f2 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2

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Observation da93069f-cf43-4e45-a58c-fb18cb7050b3 · outbound

This paper cites Deep state space models for time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Deep state space models for time series forecasting,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:35.355171Z

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Observation e0ae76fa-4c4a-4728-a278-c149939a2b16 · outbound

This paper cites Dilated recurrent neural networks,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Dilated recurrent neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:35.247165Z

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Observation 2c51d0a3-524c-4229-abd8-db2b51940538 · outbound

This paper cites Impact of covid-19 pandemic on electricity demand in the uk based on multivariate time series forecasting with bidirectional long short term memory,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Impact of covid-19 pandemic on electricity demand in the uk based on multivariate time series forecasting with bidirectional long short term memory,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:35.132037Z

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Observation eb473eda-f731-4c75-9145-0ca34c0cd988 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Spatiotemporal attention for multivariate time series prediction and interpretation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:35.033753Z

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Observation 8419994a-3896-4182-abb7-273859fd8bf6 · outbound

This paper cites WITRAN: Water- wave information transmission and recurrent acceleration network for long-range time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting WITRAN: Water- wave information transmission and recurrent acceleration network for long-range time series forecasting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:34.922209Z

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Observation b3d9c91a-3206-41bb-89c8-bb81d5867c0a · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting DeepAR: Probabilistic forecasting with autoregressive recurrent networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:34.788550Z

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Observation 7a45bf02-7689-46d3-ba07-42f8bd52ac1a · outbound

This paper cites FiLM: Frequency improved legendre memory model for long-term time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting FiLM: Frequency improved legendre memory model for long-term time series forecasting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:34.486974Z

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Observation c54b4ab9-77c3-46fc-a19f-2f7d17f27c98 · outbound

This paper cites ModernTCN: A modern pure convolution structure for general time series analysis,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:34.342578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad0b725d-a9e8-46a5-b2d7-a41922ce7bce · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 11

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Observation 5ea21c8b-2f33-431b-90cd-01443556f801 · outbound

This paper cites SCINet: Time series modeling and forecasting with sample convolution and interaction,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting SCINet: Time series modeling and forecasting with sample convolution and interaction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:34.095931Z

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Observation 46335258-7dd4-46b1-af45-784f344cb237 · outbound

This paper cites MICN: Multi-scale local and global context modeling for long-term series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting MICN: Multi-scale local and global context modeling for long-term series forecasting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:33.807377Z

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Observation bf178991-ef4a-49e9-8e56-8cd3b4416e66 · outbound

This paper cites Unsupervised scalable representation learning for multivariate time series,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Unsupervised scalable representation learning for multivariate time series,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:33.536447Z

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Observation 7bddcedf-d4f0-4a75-a7cf-c9fad24da62c · outbound

This paper cites Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:33.315286Z

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Observation 1461af2f-f273-41e8-ade4-2a1a11e51476 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting TimesNet: Temporal 2d-variation modeling for general time series analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:33.039613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa17875f-4cd7-415a-9128-1abd06f4fe84 · outbound

This paper cites TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 17

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Observation 496cbd02-604d-41c1-822f-3fd246cbb068 · outbound

This paper cites Unlocking the power of patch: Patch-based mlp for long-term time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Unlocking the power of patch: Patch-based mlp for long-term time series forecasting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:32.712076Z

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Observation 3a526238-4d2b-4ba5-9a82-0b4632d95471 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 19

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Observation c7e86939-e68e-4827-bbb9-960075ffb273 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting N-BEATS: Neural basis expansion analysis for interpretable time series forecasting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:32.474207Z

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Observation ed6c2ef7-5217-4c4f-96e9-879e0281eb03 · outbound

This paper cites N-HiTS: Neural hierarchical interpolation for time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting N-HiTS: Neural hierarchical interpolation for time series forecasting,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:32.269075Z

Source-reported events for the cited work

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Observation 6e4ef505-7f28-4b5e-a2c0-f62d5197de88 · outbound

This paper cites Frequency-domain mlps are more effective learners in time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Frequency-domain mlps are more effective learners in time series forecasting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:32.044817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32087f08-fd6f-47d4-a536-678701fa9b83 · outbound

This paper cites Attention is all you need,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Attention is all you need,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:31.859441Z

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Observation ba94eaf3-9f51-4af1-aff3-cd522ea28f85 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting A time series is worth 64 words: Long-term forecasting with transformers,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:31.681657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9750ed46-c282-487a-9649-692255975031 · outbound

This paper cites BasisFormer: Attention-based time series forecasting with learnable and interpretable basis,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting BasisFormer: Attention-based time series forecasting with learnable and interpretable basis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:31.542222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4d3b172-08a0-413e-a165-3ed42d6a3ade · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:31.415164Z

Source-reported events for the cited work

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Observation e1f010ba-6aa1-4e37-916a-9e4c6b475d4e · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:25.839080Z

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Observation ec1336f3-a855-4e2d-8110-259ffdf50751 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:25.939264Z

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Observation a4107e77-8f71-4072-98d2-bd75508b7007 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:31.132360Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff64119e-dc65-4e3f-9ba3-bbdb879f7188 · outbound

This paper cites InParformer: evolutionary decomposition transformers with interactive parallel at- tention for long-term time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting InParformer: evolutionary decomposition transformers with interactive parallel at- tention for long-term time series forecasting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:30.873642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08f29938-2626-433c-8de8-b7d0c7db9f4f · outbound

This paper cites An encoder–decoder architecture with fourier attention for chaotic time series multi-step prediction,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting An encoder–decoder architecture with fourier attention for chaotic time series multi-step prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:30.584394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf60e706-7854-45f8-8e2b-72f4daafc626 · outbound

This paper cites Temporal chain network with intuitive attention mechanism for long-term series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Temporal chain network with intuitive attention mechanism for long-term series forecasting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:30.350482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a9f81e4-710a-4225-88e1-6fb4db85126c · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 33

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Source-reported events for the cited work

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Observation 2567d205-9f03-4178-89ad-52be162d99c0 · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:26.634168Z

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Observation e5fe80b2-6944-4439-816c-dd6f67fcd047 · outbound

This paper cites iTrans- former: Inverted transformers are effective for time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting iTrans- former: Inverted transformers are effective for time series forecasting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:30.181451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 100c3f5f-115e-4d2e-99f0-243cb3fa8331 · outbound

This paper cites DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:26.797403Z

Source-reported events for the cited work

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Observation 1a5309be-5ef1-43fe-a197-2f3210c0c74e · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:26.861413Z

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Unavailable: canonical work link unavailable.

Observation 66315615-2284-46af-96e8-204ea9ef4e3e · outbound

This paper cites Sepformer-based models: More efficient models for long sequence time-series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Sepformer-based models: More efficient models for long sequence time-series forecasting,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:30.005865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdf832f9-3357-41e0-b758-810bdb24a196 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.051646Z

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Unavailable: canonical work link unavailable.

Observation edf9127f-1a67-443e-b454-7c7d67d3589a · outbound

This paper cites CrossGNN: Confronting noisy multivariate time series via cross interaction refinement,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting CrossGNN: Confronting noisy multivariate time series via cross interaction refinement,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.858776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b71aedb-64cb-4960-a3be-238529667222 · outbound

This paper cites FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.177803Z

Source-reported events for the cited work

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Observation 4de3d25f-dfa5-4d28-b0e3-013853517c0b · outbound

This paper cites Graph Deep Learning for Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Graph Deep Learning for Time Series Forecasting

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.272133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e897ce0-59a6-487c-9b14-dc7f40127c53 · outbound

This paper cites Adaptive dependency learning graph neural networks,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Adaptive dependency learning graph neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.725281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afe2cef6-31c4-41ff-b9e1-cd3fd7afb175 · outbound

This paper cites Multivariate time series forecasting with dynamic graph neural odes,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Multivariate time series forecasting with dynamic graph neural odes,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.593842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9487eab4-a579-423f-8f0f-97454eb4b9fe · outbound

This paper cites Mixmamba: Time series modeling with adaptive expertise,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Mixmamba: Time series modeling with adaptive expertise,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.459007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a25efd9f-5631-42dd-856f-23fb1c578114 · outbound

This paper cites Is mamba effective for time series forecasting?.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Is mamba effective for time series forecasting?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.357313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50f07835-7a3b-4e31-8ec5-6271d9333352 · outbound

This paper cites CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.684462Z

Source-reported events for the cited work

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Observation ff21c82f-38bc-4b62-b88d-1351dbd993f1 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Are transformers effective for time series forecasting?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.209270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9974106-33fe-41ad-8da8-2e4ae8678d3d · outbound

This paper cites FITS: Modeling Time Series with $10k$ Parameters.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting FITS: Modeling Time Series with $10k$ Parameters

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:27.850889Z

Source-reported events for the cited work

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Observation c8e76341-6e65-4758-b33b-26a1c5827c41 · outbound

This paper cites FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:29.087624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb00d7fd-5605-4474-b26f-a6fbadc42d3d · outbound

This paper cites Rethinking fourier transform from a basis functions perspective for long-term time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Rethinking fourier transform from a basis functions perspective for long-term time series forecasting,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:28.960154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24419ae6-fb91-41ba-8365-566a10bde347 · outbound

This paper cites En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:28.876293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a768e04b-3335-4356-aa16-1b6be550aedb · outbound

This paper cites Variational hierarchical n-beats model for long-term time-series forecasting,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Variational hierarchical n-beats model for long-term time-series forecasting,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:28.783947Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1355f632-d3f8-48b8-98d7-ddb8c30e627c · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distri- bution shift,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Reversible instance normalization for accurate time-series forecasting against distri- bution shift,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:28.157903Z

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Observation bfb094d9-5f7d-4699-b16b-de252dbe5d73 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting U-net: Convolutional networks for biomedical image segmentation,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:28.212347Z

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Unavailable: canonical work link unavailable.

Observation d8bd6703-d5af-45ff-a9b8-1de243825491 · outbound

This paper cites Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:28.269078Z

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Observation baaee81a-84f3-4fc8-ab30-8e63257af314 · outbound

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

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:01:28.664604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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