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Paper Citation Record · LEDGER

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering

As of 19 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:2505.05738.

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

pith.paper-citation-record.v1
2505.05738 v2

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

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measured 95 of 95 standing notices

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.

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

95 of 95 outbound references displayed

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External citation measurements

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Outbound references

Observation d415615e-7e86-418a-ba8d-586903ffc6b5 · outbound

This paper cites Energy time series forecasting based on pattern sequence similarity.IEEE Transactions on Knowledge and Data Engineering, 23(8):1230–1243, 2010.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Energy time series forecasting based on pattern sequence similarity.IEEE Transactions on Knowledge and Data Engineering, 23(8):1230–1243, 2010

Reference 1

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Observation f81d257f-fff6-4bf3-a27b-1110fdcf5725 · outbound

This paper cites Anderson, George E.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Anderson, George E

Reference 2

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Observation f9ccdea1-aac3-43b3-a405-6ae51362a1ad · outbound

This paper cites Stock price prediction using the arima model.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Stock price prediction using the arima model

Reference 3

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Observation b006720e-5e1a-4d77-991c-654c6240a5b4 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting.Advances in Neural Information Processing Systems, 33:17804–17815, 2020.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Adaptive graph convolutional recurrent network for traffic forecasting.Advances in Neural Information Processing Systems, 33:17804–17815, 2020

Reference 4

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Observation aa1d8f61-2852-4d0a-8f32-7292abc96665 · outbound

This paper cites Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.Expert systems with applications, 140:112896, 2020.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.Expert systems with applications, 140:112896, 2020

Reference 5

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Observation 1680e183-8c1f-4d78-a8c7-66cdf0b1ad2d · outbound

This paper cites Learning long-term dependencies with gradient descent is difficult.IEEE transactions on neural networks, 5(2):157–166, 1994.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Learning long-term dependencies with gradient descent is difficult.IEEE transactions on neural networks, 5(2):157–166, 1994

Reference 6

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Observation 7a0f5d84-2f30-4d61-aef7-6e42a76b9530 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085, 2018.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Recurrent neural networks for multivariate time series with missing values.Scientific reports, 8(1):6085, 2018

Reference 7

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Observation 31341e0d-8adf-4ae2-8c79-979bf7a1d91e · outbound

This paper cites From similarity to superiority: Channel clustering for time series forecasting.Advances in Neural Information Processing Systems, 37:130635–130663, 2025.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering From similarity to superiority: Channel clustering for time series forecasting.Advances in Neural Information Processing Systems, 37:130635–130663, 2025

Reference 8

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Observation 79f4b375-3b3c-4ee5-b134-0d7ff0f4a6da · outbound

This paper cites Minprompt: Graph-based minimal prompt data augmentation for few-shot question answering.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Minprompt: Graph-based minimal prompt data augmentation for few-shot question answering

Reference 9

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Observation 15d0767f-2068-4a07-9cb4-829ea7adf813 · outbound

This paper cites Reliable: Offline reinforcement learning for tactical strategies in professional basketball games.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Reliable: Offline reinforcement learning for tactical strategies in professional basketball games

Reference 10

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Observation 099301de-7639-4bed-94c6-ff06a19bf20c · outbound

This paper cites Playbest: Professional basketball player behavior synthesis via planning with diffusion.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Playbest: Professional basketball player behavior synthesis via planning with diffusion

Reference 11

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Observation 7f1aca2d-5ab8-44fc-86cd-7bfb8256fe5e · outbound

This paper cites Gotta: generative few-shot question answering by prompt-based cloze data augmentation.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Gotta: generative few-shot question answering by prompt-based cloze data augmentation

Reference 12

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Observation 44292865-e780-46ee-bced-21e4c13d6108 · outbound

This paper cites A novel deep class-imbalanced semisupervised model for wind turbine blade icing detection.IEEE Transactions on Neural Networks and Learning Systems, 33(6):2558–2570, 2021.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering A novel deep class-imbalanced semisupervised model for wind turbine blade icing detection.IEEE Transactions on Neural Networks and Learning Systems, 33(6):2558–2570, 2021

Reference 13

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Observation e6e1fddf-5bc7-459e-a76f-9f1d5fc0ce34 · outbound

This paper cites Weakly guided adaptation for robust time series forecasting.Proceedings of the VLDB Endowment, 17(4):766–779, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Weakly guided adaptation for robust time series forecasting.Proceedings of the VLDB Endowment, 17(4):766–779, 2023

Reference 14

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Observation d518ed94-2293-4e2f-9fca-b2d6eb9230b3 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 15

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Observation f058d80b-d209-447b-afb4-bdf02b137bac · outbound

This paper cites Enhancenet: Plugin neural networks for enhancing correlated time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Enhancenet: Plugin neural networks for enhancing correlated time series forecasting

Reference 16

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Observation b71c5518-0c59-4e47-bb3c-489893db63ed · outbound

This paper cites Towards spatio-temporal aware traffic time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Towards spatio-temporal aware traffic time series forecasting

Reference 17

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verified fuzzy
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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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Observation b5cbd142-89f0-4554-8a0e-0742bb64d87a · outbound

This paper cites Recurrent neural networks and robust time series prediction.IEEE transactions on neural networks, 5(2):240–254, 1994.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Recurrent neural networks and robust time series prediction.IEEE transactions on neural networks, 5(2):240–254, 1994

Reference 18

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Observation 2bfe0d61-652a-4512-ad58-c23d294e0196 · outbound

This paper cites Metro: a generic graph neural network framework for multivariate time series forecasting.Proceedings of the VLDB Endowment, 15(2):224–236, 2021.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Metro: a generic graph neural network framework for multivariate time series forecasting.Proceedings of the VLDB Endowment, 15(2):224–236, 2021

Reference 19

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Observation 8274aa44-2b3a-4b24-8e1b-d16c78c1b01c · outbound

This paper cites Long-term forecasting with tide: Time-series dense encoder.Transactions on Machine Learning Research.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Long-term forecasting with tide: Time-series dense encoder.Transactions on Machine Learning Research

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Observation aa507164-6d0c-472c-866b-cc85e3076561 · outbound

This paper cites St-norm: Spatial and temporal normalization for multi-variate time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering St-norm: Spatial and temporal normalization for multi-variate time series forecasting

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Observation 1ea93b64-12c1-49e3-8cd8-8d083de38cb3 · outbound

This paper cites A multi-view multi-task learning framework for multi-variate time series forecasting.IEEE Transactions on Knowledge and Data Engineering, 35(8):7665–7680, 2022.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering A multi-view multi-task learning framework for multi-variate time series forecasting.IEEE Transactions on Knowledge and Data Engineering, 35(8):7665–7680, 2022

Reference 22

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

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Observation 23a973fd-24cd-4d55-9114-ba63a5a2f8f7 · outbound

This paper cites Disentangling structured components: Towards adaptive, interpretable and scalable time series forecasting.IEEE Transactions on Knowledge and Data Engineering, 2024.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Disentangling structured components: Towards adaptive, interpretable and scalable time series forecasting.IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 23

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Observation 6a32f59e-5767-4c55-9e9f-bae530de9ea6 · outbound

This paper cites Parsimony or capability? decomposition delivers both in long- term time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Parsimony or capability? decomposition delivers both in long- term time series forecasting

Reference 24

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Observation d769d50e-b8dd-442c-98da-17d4dda5b25b · outbound

This paper cites Identifying important variables of energy use in low energy office building by using multivariate analysis.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Identifying important variables of energy use in low energy office building by using multivariate analysis

Reference 25

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

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Observation 58c2356c-7c8b-4bf0-b5fa-8a7bc4aa5b29 · outbound

This paper cites Heterogeneity-informed meta- parameter learning for spatiotemporal time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Heterogeneity-informed meta- parameter learning for spatiotemporal time series forecasting

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

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Observation 2fe93adc-2545-41ea-b7de-735f4684d564 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering An image is worth 16x16 words: Transformers for image recognition at scale

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

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Observation 33fe68db-8071-4344-b583-56b6d3098c3c · outbound

This paper cites Adarnn: Adaptive learning and forecasting of time series.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Adarnn: Adaptive learning and forecasting of time series

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raw_fallback, observed 2026-08-15T23:05:57.137410Z

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

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Observation 632a1578-6d37-486b-84b6-82f2d1d5b779 · outbound

This paper cites Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting

Reference 29

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raw_fallback, observed 2026-08-15T23:05:57.126443Z

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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Observation b0487c58-751b-4a44-b587-df36f6d4860f · outbound

This paper cites Finding structure in time.Cognitive science, 14(2):179–211, 1990.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Finding structure in time.Cognitive science, 14(2):179–211, 1990

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Observation 490ca59d-baeb-44c2-9c5d-a824c1bdbcc9 · outbound

This paper cites Representation Degeneration Problem in Training Natural Language Generation Models.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Representation Degeneration Problem in Training Natural Language Generation Models

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Observation 5058c4c3-5315-46a5-ae68-71838f58f12a · outbound

This paper cites Multivariate short-term traffic flow forecasting using time-series analysis.IEEE transactions on intelligent transportation systems, 10(2):246–254, 2009.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Multivariate short-term traffic flow forecasting using time-series analysis.IEEE transactions on intelligent transportation systems, 10(2):246–254, 2009

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Observation 6299bdef-9c67-4b01-aab8-59a6741a4f62 · outbound

This paper cites Towards total traffic awareness.ACM SIGMOD Record, 43(3):18–23, 2014.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Towards total traffic awareness.ACM SIGMOD Record, 43(3):18–23, 2014

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raw_fallback, observed 2026-08-15T23:05:57.103028Z

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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Observation 5dfcd887-a23a-46d3-8a7c-899bdc92788b · outbound

This paper cites Self-supervised spatial- temporal bottleneck attentive network for efficient long-term traffic forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Self-supervised spatial- temporal bottleneck attentive network for efficient long-term traffic forecasting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.091888Z

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.

source=pdf_text observed=2026-08-15T23:05:56.057475Z digest=sha256:56a3216e13d2f6f61f6b7437d62df2142139d8fdd089349b71266eabb9cd5fa3

Observation 2c1dff63-beb6-4d82-9e47-375bb55c2c62 · outbound

This paper cites Cash, Timothy DelSole, and Arindam Banerjee.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Cash, Timothy DelSole, and Arindam Banerjee

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.080886Z

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.

source=pdf_text observed=2026-08-15T23:05:56.061703Z digest=sha256:4ebd4f920218f13fbde7d4a380b2ef688d2301520ed87822980271cfad16c293

Observation aba3c767-4a03-4e5c-bf38-8c5711e2c980 · outbound

This paper cites Oneshotstl: One-shot seasonal-trend decomposition for online time series anomaly detection and forecasting.Proceedings of the VLDB Endowment, 16(6):1399– 1412, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Oneshotstl: One-shot seasonal-trend decomposition for online time series anomaly detection and forecasting.Proceedings of the VLDB Endowment, 16(6):1399– 1412, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.069208Z

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.

source=pdf_text observed=2026-08-15T23:05:56.065727Z digest=sha256:1eecf4af7efdd79d88471480bc511dd0f617da863e241817fd114b4487780f39

Observation 2ba8ba4d-a50f-4e2d-97e6-87cfd044a4e1 · outbound

This paper cites Long short-term memory.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Long short-term memory

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.069271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.069271Z digest=sha256:c4fd95259d927edd6deea0b8e755926ee47e9810ec7fdf6e66c6fcbc2b79bb35

Observation 430f2bcb-c0aa-4c5d-bcdb-3daf40736833 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering LoRA: Low-Rank Adaptation of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.072697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.072697Z digest=sha256:2d4d8724c58c2723d9dd799aabdc26ea8c85ee5af60c8ad71941b07ea13b894e

Observation f167636e-06d6-4980-9ccf-d8830ac49632 · outbound

This paper cites Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.051135Z

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.

source=pdf_text observed=2026-08-15T23:05:56.076867Z digest=sha256:59a3a41ead6af4417e1b5824caf1033e094ae1e0959b6caea855446a79db348f

Observation 03f77c78-0768-44b0-97f5-fa9e44c67e10 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.039539Z

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.

source=pdf_text observed=2026-08-15T23:05:56.080382Z digest=sha256:1bd450f9d71fe4bf0089bec1e83c64a2eedf57819709117cf3e022563e6c3e39

Observation a1ebc6b6-da31-4c57-bd76-a99ba6d6409b · outbound

This paper cites Lentzakis, and Gao Cong.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Lentzakis, and Gao Cong

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.027687Z

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.

source=pdf_text observed=2026-08-15T23:05:56.084074Z digest=sha256:2fa1279246ec7c09304672d2998ea4c924daf800bfc355455fcad7744ee9a470

Observation 90aa62ee-46f4-41f4-8ad6-7a234ed205ae · outbound

This paper cites Cambridge University Press, 2017.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Cambridge University Press, 2017

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.016155Z

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.

source=pdf_text observed=2026-08-15T23:05:56.087662Z digest=sha256:1f5aa5a94f56121e11e8bb9725a9b59d0a8d4a00c1f99928250b8cc025148df4

Observation 619b0af8-60ed-4d80-9610-3cd91037cae4 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Reversible instance normalization for accurate time- series forecasting against distribution shift

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:57.004687Z

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.

source=pdf_text observed=2026-08-15T23:05:56.092090Z digest=sha256:45e0a1e230abe3a40ed4887f7ab3063539004aa1d170bb14abbea4101b20bd36

Observation 80b7ccda-4ba3-4ab6-a680-0880d56c5d08 · outbound

This paper cites Kingma and Jimmy Ba.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Kingma and Jimmy Ba

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.096769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.096769Z digest=sha256:5a648ca7c7dd4ffe9ba26dac02ca38de04b93553080f88239ee3b38f7842080c

Observation 421b4146-f26f-415a-a9da-8a644d5128a7 · outbound

This paper cites Reformer: The efficient transformer.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Reformer: The efficient transformer

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.986086Z

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.

source=pdf_text observed=2026-08-15T23:05:56.100493Z digest=sha256:dcf65c69eb68870e74b90f1efa62fa438111b55471b48d283d4d4f95fe21c50c

Observation cb7a6f50-393e-44ec-be07-53896787dc1a · outbound

This paper cites Mod- eling long-and short-term temporal patterns with deep neural networks.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Mod- eling long-and short-term temporal patterns with deep neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.976142Z

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.

source=pdf_text observed=2026-08-15T23:05:56.104346Z digest=sha256:f41702fc8e34972c59dfacfb52b648edd9bc4f397fb94fdea94b87fd0436b392

Observation e753ba40-3f85-4908-9f7b-ec1ace332d4b · outbound

This paper cites Lightcts: A lightweight framework for correlated time series forecasting.Proceedings of the ACM on Management of Data, 1(2):1– 26, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Lightcts: A lightweight framework for correlated time series forecasting.Proceedings of the ACM on Management of Data, 1(2):1– 26, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.965572Z

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.

source=pdf_text observed=2026-08-15T23:05:56.108447Z digest=sha256:2fe83ed5c506b5573b5d496a01796b687f6a9b3c7aa5d3e5ca2d0d14c55d4286

Observation 340f52e2-8644-4426-81b9-0c2eabd6d19b · outbound

This paper cites Shape- former: Shapelet transformer for multivariate time series classification.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Shape- former: Shapelet transformer for multivariate time series classification

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.954947Z

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.

source=pdf_text observed=2026-08-15T23:05:56.112150Z digest=sha256:1ee54cfd0472f57807367b9fefb3e7b1cab7caf1d3c8223e8fdf76dcd2167ab1

Observation 00bc6ea8-b61f-42ca-8588-bb1e40b5892b · outbound

This paper cites Efficient shapelet discovery for time series classification.IEEE transactions on knowledge and data engineering, 34(3):1149–1163, 2020.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Efficient shapelet discovery for time series classification.IEEE transactions on knowledge and data engineering, 34(3):1149–1163, 2020

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.944865Z

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.

source=pdf_text observed=2026-08-15T23:05:56.115937Z digest=sha256:d73195c5f991f83aa73864e511c37e9286c1b80804d02492e4c880a6be3d7b7d

Observation 081e8e3b-d461-48e6-a95d-a746452df454 · outbound

This paper cites Shapenet: A shapelet-neural network approach for multivariate time series classification.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Shapenet: A shapelet-neural network approach for multivariate time series classification

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.933683Z

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.

source=pdf_text observed=2026-08-15T23:05:56.119592Z digest=sha256:ec5fd8a7ddc8b3a3c6a754d462247705602de2d773abcf76f5d630c1e540042a

Observation 706799cb-a217-4473-8d01-3972d9065bca · outbound

This paper cites Lst- net: Learning a convolutional neural network with a learnable sparse transform.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Lst- net: Learning a convolutional neural network with a learnable sparse transform

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.922305Z

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.

source=pdf_text observed=2026-08-15T23:05:56.123119Z digest=sha256:52330baa99004be62d03db61a18b0a16cda23adeaede322ee2b30dc6642cf052

Observation 766e74d2-3d00-40b0-85ca-2e9cf03d5a66 · outbound

This paper cites Towards long-term time-series forecasting: Feature, pattern, and distribution.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Towards long-term time-series forecasting: Feature, pattern, and distribution

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.912167Z

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.

source=pdf_text observed=2026-08-15T23:05:56.127330Z digest=sha256:4c90715225db205f7efad77b1471dd254f942b812ce3b64b8072717e3a5e6356

Observation e3cfb539-4096-4a68-8008-7b5363e30dc1 · outbound

This paper cites Units: A universal time series analysis framework powered by self- supervised representation learning.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Units: A universal time series analysis framework powered by self- supervised representation learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.901190Z

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.

source=pdf_text observed=2026-08-15T23:05:56.130771Z digest=sha256:9878fae568010de84f5b906fdc46638ae95875c5b6949a3c423c3bac355c494f

Observation 70018fa1-6082-4cef-8ead-097b18cc7820 · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.890655Z

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.

source=pdf_text observed=2026-08-15T23:05:56.134299Z digest=sha256:684bcda6ef82a724218c6da909367bca6e2e35f7af2cab28bfdddcaf3ec08323

Observation 3201018d-5c0b-4a7c-a3e1-387cb24dafb9 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering itransformer: Inverted transformers are effective for time series forecasting

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.879958Z

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.

source=pdf_text observed=2026-08-15T23:05:56.138051Z digest=sha256:3f769da683e7805ea26f6e8e407d22dab0663169e2cd522b56af57b71d211b66

Observation d906beb7-338f-4443-9a0b-f2bf6a21aaef · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Swin transformer: Hierarchical vision transformer using shifted windows

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.142087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.142087Z digest=sha256:bd7adc261ed250ce39908cf06cb3a4077fa1f8480fd6c7e1143ebea62b573be8

Observation 098a241d-56cd-4b78-990e-45f9fea7d2d4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Decoupled Weight Decay Regularization

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.145666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.145666Z digest=sha256:a8c381f4ba1ac0c85f1a4373b38362d3e394047819536f96ba3fccbc7eb3bf54

Observation f60452b0-00c8-4a7a-96ef-175783a24acb · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Moderntcn: A modern pure convolution structure for general time series analysis

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.862572Z

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.

source=pdf_text observed=2026-08-15T23:05:56.149848Z digest=sha256:f7c815b9c875124309dc87dc4edf07b90f9270d6df346d365bba1d6c25777705

Observation 17a848f5-5556-484a-b233-0b9ca9c0a9b5 · outbound

This paper cites Learning time-aware graph structures for spatially correlated time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Learning time-aware graph structures for spatially correlated time series forecasting

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.850731Z

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.

source=pdf_text observed=2026-08-15T23:05:56.153100Z digest=sha256:a6921a5bcd12fc3ee712e43957d01bde458fd4df5ff7f2f89385086960d5c7a4

Observation 6258caa4-98b7-4904-8d95-577ad8892a97 · outbound

This paper cites Hmm-boost: Improved time series state prediction via su- pervised hidden markov models: Case studies in epileptic seizure and complex care management.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Hmm-boost: Improved time series state prediction via su- pervised hidden markov models: Case studies in epileptic seizure and complex care management

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.839676Z

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.

source=pdf_text observed=2026-08-15T23:05:56.156893Z digest=sha256:6f4863e3ff1804790c62561a1e14ed09e9ccb61fcc36fca9f007981fd69ef693

Observation 29e4747a-57ce-4164-b01a-a1e13c10a01a · outbound

This paper cites Identifying predictive multi-dimensional time series mo- tifs: an application to severe weather prediction.Data Mining and Knowledge Discovery, 22:232–258, 2011.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Identifying predictive multi-dimensional time series mo- tifs: an application to severe weather prediction.Data Mining and Knowledge Discovery, 22:232–258, 2011

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.829118Z

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.

source=pdf_text observed=2026-08-15T23:05:56.160445Z digest=sha256:ce2cc25542ba48fec6637ca40fbd2fd51fd9b389c5f8afa8d79fe1f75e8c524c

Observation 7007e315-fc92-43eb-911a-a63f74f3b282 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering A time series is worth 64 words: Long-term forecasting with transformers

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.817895Z

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.

source=pdf_text observed=2026-08-15T23:05:56.163912Z digest=sha256:0f72588eae85778221176edd96ff1314211f064b16c7dbd3028d9b7a1a39c56b

Observation f311d980-f45d-4d85-957e-96341b6bf6f6 · outbound

This paper cites Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods.Proceedings of the VLDB Endowment, 17(9):2363– 2377, 2024.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods.Proceedings of the VLDB Endowment, 17(9):2363– 2377, 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.806309Z

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.

source=pdf_text observed=2026-08-15T23:05:56.167401Z digest=sha256:28c0ada6571c272860913ade3a670b7b6c9eda4c54072c8e0edbd2b9f755f055

Observation e4e42bed-dac7-4ae8-a164-ed450b91d3c7 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

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Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.170889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.170889Z digest=sha256:cf5b66b4dad994531b7f3722e17063d8cde2460569acedc932f7ef7cfe3ded85

Observation 55675895-78bc-4d0d-bdc2-7c3586e1880a · outbound

This paper cites Exploring progress in multivariate time series forecasting: Comprehensive bench- marking and heterogeneity analysis.IEEE Transactions on Knowledge and Data Engineering, 2024.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Exploring progress in multivariate time series forecasting: Comprehensive bench- marking and heterogeneity analysis.IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.789192Z

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.

source=pdf_text observed=2026-08-15T23:05:56.174429Z digest=sha256:d51dc6ff345ea2d2cec68543b9eeffb509338bc935622e5cdef2c176e0bd0591

Observation 2af76326-9175-4eed-8e28-4d6ea647711c · outbound

This paper cites Decoupled dynamic spatial-temporal graph neural network for traffic forecasting.Proceedings of the VLDB Endowment, 15(11):2733–2746, 2022.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Decoupled dynamic spatial-temporal graph neural network for traffic forecasting.Proceedings of the VLDB Endowment, 15(11):2733–2746, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.777403Z

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.

source=pdf_text observed=2026-08-15T23:05:56.177929Z digest=sha256:37c9d85a46ccbe018da17d419810ffc9296a1a26d5147219a2412e93e44a1a08

Observation 7121251a-0aea-4b0c-a5a9-b18ef18204d8 · outbound

This paper cites Scaling Law for Time Series Forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Scaling Law for Time Series Forecasting

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.181289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.181289Z digest=sha256:1f11a7831287dd54ea2c72ad6c263b1f73ddc03f16179678046e7d8944380330

Observation 69a495e3-f4f6-4ebf-8454-0cf70f486bbc · outbound

This paper cites Time-series classification methods: Review and applications to power systems data.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Time-series classification methods: Review and applications to power systems data

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.766532Z

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.

source=pdf_text observed=2026-08-15T23:05:56.185111Z digest=sha256:0f1265e5e98ec7973511ffc3621bf2b0ddf18d81ae3ee5d987efbf80c5985c65

Observation ad758f63-493f-497f-9797-f2ca02ebff6c · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering WaveNet: A Generative Model for Raw Audio

Reference 69

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no resolver link, observed 2026-08-15T23:05:56.188810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.188810Z digest=sha256:260760848f34da1e6e4b55972149a7459c4e8717b26def670000748abfd486fe

Observation ee662c08-6803-439d-9833-75bc66cdf6bd · outbound

This paper cites Neural discrete representation learning.Advances in Neural Information Processing Systems, 30, 2017.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Neural discrete representation learning.Advances in Neural Information Processing Systems, 30, 2017

Reference 70

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no resolver link, observed 2026-08-15T23:05:56.192441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.192441Z digest=sha256:d94f7ee945e65d2b67780c491196faae3b25cf6e8f96da3fa5a20a40e8ccbf02

Observation edc46e2a-a073-45f5-9339-0eb1d3e48e56 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008

Reference 71

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no resolver link, observed 2026-08-15T23:05:56.196301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.196301Z digest=sha256:5e9091d859aa3e76fb03267b10b46c163153df2d1a34943cfc875cd4a7bdce23

Observation db579555-ba4b-4e69-9f5d-719b25a3e691 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

Reference 72

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no resolver link, observed 2026-08-15T23:05:56.199876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.199876Z digest=sha256:1c5ef0dc54a24245a31aed86f642340762a34eb67320e1a529e1b1d248b7b896

Observation 1ee56fed-930b-4392-ad25-3d6e82ea5961 · outbound

This paper cites Deep uncertainty quantification: A machine learning approach for weather forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Deep uncertainty quantification: A machine learning approach for weather forecasting

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.736306Z

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.

source=pdf_text observed=2026-08-15T23:05:56.203653Z digest=sha256:84d8d07bbe733faf963afb6ba6680549b0c55fb4e31aa06167e3cec68da19f9c

Observation 5b5b9cbd-6c74-4487-831f-32a4495499de · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Linformer: Self-Attention with Linear Complexity

Reference 74

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unresolved
no resolver link, observed 2026-08-15T23:05:56.207071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.207071Z digest=sha256:4dacbb0a8e0f9df9f1e74cdf24af4cdeb0f7a77ceae2aedf0dcea5d5f92b734b

Observation 62e7a00d-e9c2-4165-9bc6-8a1fb83ff193 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.725691Z

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.

source=pdf_text observed=2026-08-15T23:05:56.210798Z digest=sha256:b3a69510c4557f15f768ad52dfc8e65df2f305b56da4a5f0b3d319eca09edff3

Observation d2f40927-f6be-4b91-81ec-db3599cd3382 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.Advances in Neural Information Processing Systems, 34:22419–22430, 2021.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.Advances in Neural Information Processing Systems, 34:22419–22430, 2021

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.713487Z

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.

source=pdf_text observed=2026-08-15T23:05:56.214537Z digest=sha256:fa4c3643ee6b6624774f7ced7e8a47a5ada50aca66128eb7f7492c80fd942161

Observation f4be90ba-9538-4727-8bd2-098c5ed09b57 · outbound

This paper cites Autocts: Automated correlated time series forecasting.Proceedings of the VLDB Endowment, 15(4):971–983, 2021.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Autocts: Automated correlated time series forecasting.Proceedings of the VLDB Endowment, 15(4):971–983, 2021

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.702283Z

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.

source=pdf_text observed=2026-08-15T23:05:56.218008Z digest=sha256:65570cd3b966434e10d634a6a1703b19cc3a68df58b312d9e1e67b81f0485d90

Observation 60d27391-5cf2-4120-83a9-546c5fd1a537 · outbound

This paper cites Autocts+: Joint neural architecture and hyperparam- eter search for correlated time series forecasting.Proceedings of the ACM on Management of Data, 1(1):1–26, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Autocts+: Joint neural architecture and hyperparam- eter search for correlated time series forecasting.Proceedings of the ACM on Management of Data, 1(1):1–26, 2023

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.690757Z

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.

source=pdf_text observed=2026-08-15T23:05:56.221617Z digest=sha256:3dfdcde051e3a30c08ab164deae3e71e939ca92290a8cf3b1a630bd773e312fb

Observation 77ccbe52-9cce-4659-97bc-98e3bfe85811 · outbound

This paper cites Connecting the dots: Multivariate time series forecasting with graph neural networks.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Connecting the dots: Multivariate time series forecasting with graph neural networks

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.680014Z

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.

source=pdf_text observed=2026-08-15T23:05:56.224832Z digest=sha256:a0d61dca01c06175e4d06295115f1e783c7dc38b759b0cefe7d18c846bbd9147

Observation f8ffe52b-e306-4556-a166-7b36683bd485 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Graph wavenet for deep spatial-temporal graph modeling

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.669158Z

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.

source=pdf_text observed=2026-08-15T23:05:56.228323Z digest=sha256:fc951e0a4d2873c644325f35b581e616192ad4406a4b60156a3c01db37e96621

Observation 6c5da330-f483-403a-98eb-f264d00e4c67 · outbound

This paper cites Learning evolvable time-series shapelets.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Learning evolvable time-series shapelets

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.657060Z

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.

source=pdf_text observed=2026-08-15T23:05:56.231965Z digest=sha256:a7335c4542da8a2f1f2ae02263385456e6d13ea2661235ceb64b28654d66518c

Observation f888c6be-7544-43e1-86ce-9d3c42c0b7fc · outbound

This paper cites Flashp: an analytical pipeline for real-time forecasting of time-series relational data.Proceedings of the VLDB Endowment, 14(5):721–729, 2021.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Flashp: an analytical pipeline for real-time forecasting of time-series relational data.Proceedings of the VLDB Endowment, 14(5):721–729, 2021

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.645638Z

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.

source=pdf_text observed=2026-08-15T23:05:56.235760Z digest=sha256:55fb82014974ca7b74a1b4c120cf26ff52a890ec55932348c090de2f33266a3f

Observation 00fbcfc8-b7b6-45c2-948d-0b20fc1681c5 · outbound

This paper cites Simplets: An efficient and universal model selection framework for time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Simplets: An efficient and universal model selection framework for time series forecasting

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.632606Z

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.

source=pdf_text observed=2026-08-15T23:05:56.239346Z digest=sha256:1e0d231851cb06375f961d1b3eb8eee5ec8294297ab1120b8b2af0f206fba097

Observation c7d7130f-e416-4909-b79c-bd054b881940 · outbound

This paper cites Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.621101Z

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.

source=pdf_text observed=2026-08-15T23:05:56.246739Z digest=sha256:e1fc751db709195bd9d57201a38822cbe77184445575a55a21692ac1fe7ba6f2

Observation b01ffdbf-78bc-4c1e-9b95-b9ff44f391e2 · outbound

This paper cites Time series shapelets: a new primitive for data mining.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Time series shapelets: a new primitive for data mining

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.610495Z

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.

source=pdf_text observed=2026-08-15T23:05:56.250308Z digest=sha256:8284a677d9c91bf09db4d4f1966e1cad1847f7d3570cfa6b847096b673db340a

Observation 1787668f-7f70-4199-94dd-6d5f36502158 · outbound

This paper cites Are transformers effective for time series forecasting? InProceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Are transformers effective for time series forecasting? InProceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 87

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unresolved
no resolver link, observed 2026-08-15T23:05:56.253993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.253993Z digest=sha256:27dd219f3a355b81b4ea243e070e4e4e510fb71a9fb6c5bfbe55d83a4333cd7c

Observation 969eb197-22ed-4c3e-8556-77d222363906 · outbound

This paper cites Scaling up multivariate time series pre-training with decoupled spatial-temporal representations.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Scaling up multivariate time series pre-training with decoupled spatial-temporal representations

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.592758Z

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.

source=pdf_text observed=2026-08-15T23:05:56.257553Z digest=sha256:6a100bb6b000e2d6e67fd401146db8114c0de878979bc0951643aeb5569f35c0

Observation 5928fc94-25a3-4f7b-98a3-fcb7ee50312b · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 89

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unresolved
no resolver link, observed 2026-08-15T23:05:56.260945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.260945Z digest=sha256:cc7f2d9d4782608b110f0764966008b4954751b2ffb0ef2cbc40b9a6d05c3515

Observation 4efdd830-d380-4cd1-87ca-d0ea9f4b5a42 · outbound

This paper cites Multiple time series forecasting with dynamic graph modeling.Proceedings of the VLDB Endowment, 17(4):753–765, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Multiple time series forecasting with dynamic graph modeling.Proceedings of the VLDB Endowment, 17(4):753–765, 2023

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.574346Z

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.

source=pdf_text observed=2026-08-15T23:05:56.267742Z digest=sha256:721251332e31c8a7f615726a73628b8d2187f36351e488eb382d01b6f355ff64

Observation 39d62646-a92e-4067-b46c-36561b90f178 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.271537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.271537Z digest=sha256:234866b9fc3bf1a7451e0162e92f10c1bc4f0675ddb5ca7ae90316aaf7f5e730

Observation 689e50f8-7380-417a-b912-f79407d45f9d · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.445805Z

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.

source=pdf_text observed=2026-08-15T23:05:56.275227Z digest=sha256:c7a9bc2c93356ef69e5a6d2b3230edf8e6833eb14b1ab0e88161024f25cd91fe

Observation d8607945-97d5-4042-b1a5-4a39ec9ca928 · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.Advances in Neural Information Processing Systems, 36:43322–43355, 2023.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering One fits all: Power general time series analysis by pretrained lm.Advances in Neural Information Processing Systems, 36:43322–43355, 2023

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.434148Z

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.

source=pdf_text observed=2026-08-15T23:05:56.278748Z digest=sha256:6cedf683e47295a7e16e3fe0d77bbe9243b9a9945f49e8d562a05d298bebda18

Observation 9f0f4f6c-aded-482d-b430-4b55311657b8 · outbound

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

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T23:05:56.281945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:05:56.281945Z digest=sha256:cfefe54e759b6893eea9630169bee0c53a4aed5660ca2584d7b67629767cbde5

Observation 97843c9b-bcf0-4465-bf82-eefb8dff9da5 · outbound

This paper cites Darker: Efficient transformer with data- driven attention mechanism for time series.Proceedings of the VLDB Endowment, 17(11):3229–3242, 2024.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Darker: Efficient transformer with data- driven attention mechanism for time series.Proceedings of the VLDB Endowment, 17(11):3229–3242, 2024

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.415425Z

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.

source=pdf_text observed=2026-08-15T23:05:56.285508Z digest=sha256:64ee8b51c9f9b3c3bf47d453851ecc886728d012107301ee9f1b067defc78b4b

Observation b6a471e9-c2c0-4141-b3e2-1427e7fece18 · outbound

This paper cites Svp-t: a shape-level variable- position transformer for multivariate time series classification.

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Svp-t: a shape-level variable- position transformer for multivariate time series classification

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:05:56.403136Z

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.

source=pdf_text observed=2026-08-15T23:05:56.288921Z digest=sha256:b7f76aa0db8e5a8684258beb65324321cec441fc79279693aa70b7f9d955b0d2

Pith citing papers

No inbound Pith citation observations are available.