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Paper Citation Record · LEDGER

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.04381.

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pith.paper-citation-record.v1
2507.04381 v1

Coverage vector

measured 37 of 37 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 6bd33601-6221-436f-b742-966e6c145ab5 · outbound

This paper cites Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting,

Reference 1

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Observation 755b4552-2f3c-412d-8aaf-3228e8d7c1da · outbound

This paper cites Probabilistic spatio-temporal graph con- volutional network for traffic forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Probabilistic spatio-temporal graph con- volutional network for traffic forecasting,

Reference 2

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Observation 000e15ea-cf5e-419f-8505-abbe5226d2b6 · outbound

This paper cites Routeformer: Transformer utilizing routing mecha- nism for traffic flow forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Routeformer: Transformer utilizing routing mecha- nism for traffic flow forecasting,

Reference 3

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Observation afbca015-f474-41ae-aba8-834f8181f33c · outbound

This paper cites A flexible and lightweight deep learning weather forecasting model,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting A flexible and lightweight deep learning weather forecasting model,

Reference 4

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Observation 71e6896e-1732-4725-bade-88ff93924d2f · outbound

This paper cites Solar power time series forecasting utilising wavelet coefficients,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Solar power time series forecasting utilising wavelet coefficients,

Reference 5

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Observation f5d4fb2b-aedd-43d8-8d59-39d167ec6afe · outbound

This paper cites Multivariate time series modeling and forecasting with parallelized convolution and decomposed sparse-transformer,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Multivariate time series modeling and forecasting with parallelized convolution and decomposed sparse-transformer,

Reference 6

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Observation b1bd7c0e-b1f9-4148-999b-7f2c63cc654c · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 7

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Observation db730163-d724-4064-9829-b5d6d198a720 · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting iTransformer: Inverted Transformers Are Effective for Time Series Forecasting,

Reference 8

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Observation 2fff638f-31d7-4419-87ed-16543dec2b2b · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers,

Reference 9

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Observation 4a298fa3-141d-401e-9875-4edc1b13d4fc · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 10

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Observation 99561111-8405-45ad-ab00-11b68dc01927 · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

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Observation 0dbca65a-8096-4c4c-a2e8-72183de1f163 · outbound

This paper cites Attention is All you Need,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Attention is All you Need,

Reference 12

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Observation a768026d-c04a-4e26-b7ba-401f0e8cb25f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

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Observation 0e2f35cf-cbf3-44a5-93af-4cbe9a6111c9 · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Is mamba effective for time series forecasting?

Reference 14

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Observation af27a904-2034-405e-a937-ed43cda951b6 · outbound

This paper cites Timemachine: A time series is worth 4 mambas for long-term forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Timemachine: A time series is worth 4 mambas for long-term forecasting,

Reference 15

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Observation 52790b30-6292-4706-a74d-0d9a6c408ae1 · outbound

This paper cites Enhancing transformer- based models for long sequence time series forecasting via structured matrix,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Enhancing transformer- based models for long sequence time series forecasting via structured matrix,

Reference 16

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Observation a8052e0a-1a1c-41d9-b028-aec09fe59b21 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 17

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This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Deformable DETR: Deformable Transformers for End-to-End Object Detection,

Reference 18

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Observation a7c8ca2d-9bad-4d54-9de2-1d4c22eb6b4f · outbound

This paper cites Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting,

Reference 19

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Observation 590e3808-55cc-4122-a6f7-d67ea3ad2c0c · outbound

This paper cites FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting,

Reference 20

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This paper cites TimesNet: Tem- poral 2D-Variation Modeling for General Time Series Analysis,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting TimesNet: Tem- poral 2D-Variation Modeling for General Time Series Analysis,

Reference 21

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Observation 513112ce-2d6b-4757-86d7-9d4244cd4db1 · outbound

This paper cites Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Reference 22

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Observation df90624b-b570-44b0-a623-fe9c704b14df · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Mixmamba: Time series modeling with adaptive expertise,

Reference 23

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Observation d23a85f6-670b-42ab-a84a-2ab8b08f5dde · outbound

This paper cites FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting

Reference 24

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Observation d1c7b9dc-3c00-43e5-95e4-29df64f8f64f · outbound

This paper cites A distance correlation-based approach to characterize the effectiveness of recurrent neural networks for time series forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting A distance correlation-based approach to characterize the effectiveness of recurrent neural networks for time series forecasting,

Reference 25

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Observation 3a82aeac-4f0a-4230-873c-3a38e06af3df · outbound

This paper cites TCLN: A Transformer-based Conv-LSTM network for multivariate time series forecasting,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting TCLN: A Transformer-based Conv-LSTM network for multivariate time series forecasting,

Reference 26

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Observation e75a584b-bd36-4cfd-bdbf-f5452cf9a417 · outbound

This paper cites Addressing prediction delays in time series forecasting: A continuous gru approach with derivative regularization,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Addressing prediction delays in time series forecasting: A continuous gru approach with derivative regularization,

Reference 27

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Observation cd7cbfd0-13a5-47ef-8950-e290e999d5f2 · outbound

This paper cites Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks,

Reference 28

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This paper cites Going deeper with convolutions,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Going deeper with convolutions,

Reference 29

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Observation f01d9282-95ac-4854-963f-9cb973f1f0ce · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Are transformers effective for time series forecasting?

Reference 30

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Observation 170ed812-9a56-4f5e-a75f-297cdfbeba53 · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 31

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Observation 81021648-e7e1-4f2c-8142-3a1593fdec57 · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 32

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Observation 5eb08d94-df95-49f3-bb47-9c46dedb182d · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Linformer: Self-Attention with Linear Complexity

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:02.704783Z digest=sha256:fe9dee400bca7faf63f0a45f7b12958227bf1b162e3f5f19bccb15130397806b

Observation d01d17cf-8b40-4306-b0f2-4c1a0a048fb3 · outbound

This paper cites Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:52:02.828660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:52:02.707985Z digest=sha256:61952d3521f1dddf307836150122b324c21e45a402aa91adca30039b93828ecb

Observation 80b292b4-e762-4114-8042-1dce18a6a4bc · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections,.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Hippo: Recurrent memory with optimal polynomial projections,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:52:02.820256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:52:02.710384Z digest=sha256:d099fa92455536d7bf363a36e57f70f429ca13812ff3d4a31a851eee85677489

Observation 8d3890ce-8a2c-4cce-9151-94e67a6f3f28 · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:52:02.713135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:02.713135Z digest=sha256:828f25be6d5c513bf660ff79e9535caffd9c116b8cd1fc0b99d3fdfd04b27a17

Observation 9fa46a03-5200-4d50-b518-511ac3d9ac8a · outbound

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

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting SCINet: time series modeling and forecasting with sample convolution and interaction,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:52:02.812207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:52:02.715998Z digest=sha256:9cdf08e8003d98b909dcbcd29525ea31925328edc219109b5b31112488233027

Pith citing papers

No inbound Pith citation observations are available.