Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:17:30.916639Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:17:30.916639Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4864aafc-a844-4946-9376-7ed71db93aee · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 171ea095-06e8-4359-be2a-88315b497137 · outbound
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
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
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
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
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
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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Observation 55b0705c-4fb5-4a21-b22a-e6bcf4582419 · outbound
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
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
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
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
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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Observation 245c17f5-201f-4ed1-9e68-2795e87e4801 · outbound
Structured Latent Space Modeling over Multi-Scale Temporal Patches for Multivariate Time Series Forecasting Comparing partitions,
Reference 37
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Observation ba34f40e-631f-4349-8efc-b96af140d7f5 · outbound
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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No inbound Pith citation observations are available.