Paper Citation Record · LEDGER

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.17770.

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

pith.paper-citation-record.v1
2411.17770 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:17.696397Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy21
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e43624af-acc7-49d0-8d05-9632a08b4eda · outbound

This paper cites ”Bayesian forecasting for financial risk management, pre and post the global financial crisis.” Journal of Forecasting, vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Bayesian forecasting for financial risk management, pre and post the global financial crisis.” Journal of Forecasting, vol

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.187993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec3e0eb6-6e13-49b8-89c1-27d4f6e90a94 · outbound

This paper cites ”Multi- variate time series dataset for space weather data analytics.” Scientific Data, vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Multi- variate time series dataset for space weather data analytics.” Scientific Data, vol

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.176704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 994e125d-107d-4b97-9713-d59e3fe53e18 · outbound

This paper cites ”Can deep learning beat numerical weather prediction?” Philosophical Transactions of the Royal Society A , vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Can deep learning beat numerical weather prediction?” Philosophical Transactions of the Royal Society A , vol

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.166157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6f63d70-ea42-44f1-b479-932934b4585c · outbound

This paper cites ”Towards efficient electricity forecasting in residential and commercial buildings: A novel hybrid CNN with a LSTM-AE based framework.” Sensors, vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Towards efficient electricity forecasting in residential and commercial buildings: A novel hybrid CNN with a LSTM-AE based framework.” Sensors, vol

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.154970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e67c04d-3ecb-4fc0-80a7-41ed637196d2 · outbound

This paper cites ”Energy forecasting with robust, flexible, and explainable machine learning algorithms.” AI Magazine, vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Energy forecasting with robust, flexible, and explainable machine learning algorithms.” AI Magazine, vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.142441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d2d9ede-1090-4508-8868-617b148bab8c · outbound

This paper cites ”Freeway performance measurement system: mining loop detector data.” Transportation Research Record , vol.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Freeway performance measurement system: mining loop detector data.” Transportation Research Record , vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.130510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a0bbc91-e42f-43fa-9528-945c5fb80a23 · outbound

This paper cites ”Towards spatio-temporal aware traffic time series forecast- ing.” In 2022 IEEE 38th International Conference on Data Engineering (ICDE), pp.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Towards spatio-temporal aware traffic time series forecast- ing.” In 2022 IEEE 38th International Conference on Data Engineering (ICDE), pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.119078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 00c3bd91-bb58-4db8-a6de-0389aa23f6a2 · outbound

This paper cites ”Enabling time-dependent uncertain eco-weights for road networks.” In Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data , pp.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing ”Enabling time-dependent uncertain eco-weights for road networks.” In Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data , pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.108552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6743105e-c938-4c76-af90-b4410a975ae0 · outbound

This paper cites an unresolved cited work.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:18.097485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca4f9b86-d091-4c69-afc0-72e0839cab27 · outbound

This paper cites TimeMixer: Decompos- able Multiscale Mixing for Time Series Forecasting.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TimeMixer: Decompos- able Multiscale Mixing for Time Series Forecasting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.086735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86eebb58-effe-425c-b41b-605974ef0b42 · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.606150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f47403-cff9-4563-ad3b-469961f25eb6 · outbound

This paper cites MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.610621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397e3401-eb8f-4cc3-ae53-e4fb7388aebc · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.075776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e3b7d6b-b7ff-4574-aac8-b89a04f2765d · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.064109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21776f0b-8bae-4787-b4ef-49bc8eb22267 · outbound

This paper cites Auto- former: Decomposition transformers with auto-correlation for long-term series forecasting.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Auto- former: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.051521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c95f5f33-1df4-4a37-a11c-f7cd529488b7 · outbound

This paper cites Non- stationary transformers: Exploring the stationarity in time series fore- casting.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Non- stationary transformers: Exploring the stationarity in time series fore- casting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.039656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fda9dcb-360b-4445-be6a-5b8e6e7375ba · outbound

This paper cites TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting,.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.025932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14a0b37c-6611-401f-bbf9-4a816bb8546f · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, number 9, pages 11121–11128, 2023.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, number 9, pages 11121–11128, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:18.014392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85154600-67c9-4ab4-a18d-a8e693fea697 · outbound

This paper cites an unresolved cited work.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:18.002386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6b71cb5-d7fb-4544-9b71-5bf9b75b12ab · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.990983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e298fc03-b3cf-480c-a2a3-e0f1f1cc66d6 · outbound

This paper cites an unresolved cited work.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:17.979242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c2e33a0-f64f-4673-a2af-1fdbd12402c8 · outbound

This paper cites an unresolved cited work.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:17.966940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 124df0e2-b516-452d-9209-3ede7fee2f12 · outbound

This paper cites an unresolved cited work.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:17.955682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47fff2a6-87f7-4707-8a6c-56e30ee4b3aa · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.655790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8864e54-d36b-427f-9567-45e4566119db · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.659544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 745be2fb-26cf-4842-b651-2e869f0ad773 · outbound

This paper cites SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.663215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59371af4-06b9-45f1-ab3f-19ebf3c00732 · outbound

This paper cites VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting,.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.943687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c0bcb8c-6327-424a-888d-346ca978d027 · outbound

This paper cites TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.672105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f5d9a4-d492-4914-aebd-b512fab41da4 · outbound

This paper cites TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.676416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a152272-6e4f-4847-a419-c1c5813e6052 · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Efficiently Modeling Long Sequences with Structured State Spaces,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.932230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4df5c127-da31-4b79-90ed-344f5ea9c441 · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Deep state space models for time series forecasting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.920836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d3bd165-71c9-467b-a3e0-c9767d0d431b · outbound

This paper cites SSDNet: State Space Decomposition Neural Network for Time Series Forecasting,.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing SSDNet: State Space Decomposition Neural Network for Time Series Forecasting,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.688803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd68bd55-99b5-45e9-82c1-c8843284570d · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing FITS: Modeling Time Series with 10k Parameters

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.910183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 041a1c93-c15c-4551-9476-833db5d0a2e2 · outbound

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

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing Long-term Forecasting with TiDE: Time- series Dense Encoder

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:17.898713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.