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Paper Citation Record · LEDGER

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.19404.

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

pith.paper-citation-record.v1
2607.19404 v1

Coverage vector

measured 38 of 38 reference resolution

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measured 38 of 38 standing notices

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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

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 4864aafc-a844-4946-9376-7ed71db93aee · outbound

This paper cites Autoformer: De- composition transformers with auto-correlation for long- term series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Autoformer: De- composition transformers with auto-correlation for long- term series forecasting,

Reference 1

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Observation c5c064e9-ea2f-4281-9350-46b708e34dab · outbound

This paper cites iTransformer: Inverted transformers are effective for time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting iTransformer: Inverted transformers are effective for time series forecasting,

Reference 2

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Observation f3b68d2c-c516-46b6-947b-cf58b2d1678d · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,

Reference 3

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Observation 640eb8c6-4ace-4214-9e43-1171ad589229 · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting A time series is worth 64 words: Long-term forecasting with transformers,

Reference 4

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Observation 98d1bdf3-7828-447a-aebf-e3530cf8f88b · outbound

This paper cites TimeMixer: Decomposable multi- scale mixing for time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting TimeMixer: Decomposable multi- scale mixing for time series forecasting,

Reference 5

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Observation 251a3ac8-21c0-4b88-b6fd-fee1fb88b844 · outbound

This paper cites Time series forecasting via direct per-step probability distribution modeling,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Time series forecasting via direct per-step probability distribution modeling,

Reference 6

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Observation c870083d-bd6a-4a0e-a07f-cfac24979336 · outbound

This paper cites A riemannian network for spd matrix learning,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting A riemannian network for spd matrix learning,

Reference 7

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Observation 28f8ce06-7c5e-4105-a9e5-0beab952bf65 · outbound

This paper cites Manifoldformer: Geomet- ric deep learning for neural dynamics on riemannian manifolds,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Manifoldformer: Geomet- ric deep learning for neural dynamics on riemannian manifolds,

Reference 8

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Observation c8e9304d-203e-4d98-92d4-f19b5d6c699c · outbound

This paper cites SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

Reference 9

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Observation 0c56c212-1533-461a-9e52-62dc24abc54c · outbound

This paper cites Mamba: Linear-time sequence mod- eling with selective state spaces,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Mamba: Linear-time sequence mod- eling with selective state spaces,

Reference 10

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Observation dd8cb815-6c80-4384-8e00-3ed6057dbe51 · outbound

This paper cites Arima models,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Arima models,

Reference 11

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Observation fb3450a8-5735-48f4-b989-e6a4231bc881 · outbound

This paper cites Vector autoregressive models for multivariate time series,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Vector autoregressive models for multivariate time series,

Reference 12

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Observation b7a387ac-755d-4c16-9e42-d9f594159e6d · outbound

This paper cites Attention is all you need,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Attention is all you need,

Reference 13

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Observation 2d48c4d0-7786-4c61-9e8b-fd8184ea5a9a · outbound

This paper cites Transformers in time series: A survey,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Transformers in time series: A survey,

Reference 14

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Observation 2853fac7-aefb-43e5-96c2-e2379820a6d6 · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 15

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Observation de7bbbba-4528-4396-9ae6-47c010db9227 · outbound

This paper cites FEDformer: Frequency enhanced decomposed trans- former for long-term series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting FEDformer: Frequency enhanced decomposed trans- former for long-term series forecasting,

Reference 16

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Observation 093ece28-f6db-479e-9d55-952270b49438 · outbound

This paper cites Are transform- ers effective for time series forecasting?.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Are transform- ers effective for time series forecasting?

Reference 17

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Observation 40ed8654-82d4-4d2e-9073-26099e2f46b8 · outbound

This paper cites Long-term forecasting with TiDE: Time-series dense encoder,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Long-term forecasting with TiDE: Time-series dense encoder,

Reference 18

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Observation 162493fb-4194-4202-ac77-0931cc093607 · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 19

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Observation 2f36ab1b-51a9-4db7-a063-443e9ab58f2b · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 20

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Observation 98347df6-693c-4966-a1cf-f0de30f5d037 · outbound

This paper cites Deep time series models: A comprehensive survey and benchmark,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Deep time series models: A comprehensive survey and benchmark,

Reference 21

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Observation f253db42-5ce6-4005-95f1-3d6fccf062fa · outbound

This paper cites Ctfnet: Long-sequence time-series forecasting based on convolution and time–frequency analysis,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Ctfnet: Long-sequence time-series forecasting based on convolution and time–frequency analysis,

Reference 22

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Observation 50a4e520-ca2b-4e41-acca-c38dbdb22996 · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 23

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Observation 7a3aebd5-6d7f-439f-879c-1c85ee9bf788 · outbound

This paper cites Periodpatch: A frequency-aware modular framework with patch-based embedding and periodic bias for multivariate time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Periodpatch: A frequency-aware modular framework with patch-based embedding and periodic bias for multivariate time series forecasting,

Reference 24

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Observation 71c9189a-5f01-4f1d-815c-e9c8649e08c7 · outbound

This paper cites Recast: Reliability-aware codebook-assisted lightweight time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Recast: Reliability-aware codebook-assisted lightweight time series forecasting,

Reference 25

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Observation 171ea095-06e8-4359-be2a-88315b497137 · outbound

This paper cites Gaussian adaptive patching powered fully- connected spatial-temporal graph for multivariate time- series data,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Gaussian adaptive patching powered fully- connected spatial-temporal graph for multivariate time- series data,

Reference 26

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Observation 7578664b-baba-458c-b5df-c29d1326cd18 · outbound

This paper cites Dish-ts: A general paradigm for alleviating distribution shift in time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Dish-ts: A general paradigm for alleviating distribution shift in time series forecasting,

Reference 27

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Observation f14e04d5-994b-49d4-9738-936a7b2d1bb6 · outbound

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

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Reversible instance normalization for accurate time-series forecasting against distribution shift,

Reference 28

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Observation d912f117-8620-42b1-b87e-95c847fb8130 · outbound

This paper cites Koopman neural operator forecaster for time-series with temporal distributional shifts,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Koopman neural operator forecaster for time-series with temporal distributional shifts,

Reference 29

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Observation 957d1928-aa70-4457-b08f-26b1da366bef · outbound

This paper cites Disents: Disentangled channel evolving pattern modeling for multivariate time series forecasting,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Disents: Disentangled channel evolving pattern modeling for multivariate time series forecasting,

Reference 30

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Observation bfc75e84-39cf-4570-82f1-39964e8d6b3c · outbound

This paper cites Generalized dimension-reduction framework for recent-biased time series analysis,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Generalized dimension-reduction framework for recent-biased time series analysis,

Reference 31

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This paper cites Time-series classification with cote: the collective of transformation-based ensembles,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Time-series classification with cote: the collective of transformation-based ensembles,

Reference 32

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Observation c2e872d6-38bd-4c99-bb0f-b8a715cb8d92 · outbound

This paper cites Multivariate time-series classification using the hidden-unit logistic model,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Multivariate time-series classification using the hidden-unit logistic model,

Reference 33

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Observation d381cf91-4049-4f86-9a31-b47043c0f34d · outbound

This paper cites Is mamba effective for time se- ries forecasting?.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Is mamba effective for time se- ries forecasting?

Reference 34

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Observation 1dfdba19-5751-47eb-84b1-cf5d6beaab53 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 35

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Observation 84be1d5a-52c0-4ea5-b3c2-58b6514d727d · outbound

This paper cites Some methods for classification and analysis of multivariate observations,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Some methods for classification and analysis of multivariate observations,

Reference 36

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This paper cites Comparing partitions,.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Comparing partitions,

Reference 37

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This paper cites Available: https://openreview.net/forum? id=ju Uqw384Oq.

Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Available: https://openreview.net/forum? id=ju Uqw384Oq

Reference 2023

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