Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.04381.

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

pith.paper-citation-record.v1
2507.04381 v1

Coverage vector

measured 37 of 37 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T19:52:02.715998Z

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One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.781965Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.771812Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.762124Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.753395Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.728474Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.719150Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.710635Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.672826Z

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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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Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.571932Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.401177Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:03.143454Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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Observation 07767e5e-54ba-4ef1-9f31-a45fc2956ec5 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.898277Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:02.676774Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.883223Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.872012Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.861600Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.853577Z

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Observation a71a12d5-aa05-4384-92d3-a30b10dac9d3 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.844850Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:02.836335Z

Source-reported events for the cited work

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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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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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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

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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 2026-08-19T06:32:44.657259+00:00.

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

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Source-reported events for the cited work

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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 2026-08-19T06:32:44.657259+00:00.

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