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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Reference 20

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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

Reference 21

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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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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 2026-08-18T06:34:40.430872+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

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Reference 27

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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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Reference 31

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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

Reference 32

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.057475Z digest=sha256:fbe603959ec5ddd716aa868a2af8fdc59600ce019c85c962e1bd8c3fdba4213a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.061703Z digest=sha256:5efc5414cee909f01c4fe1d89bc1440c03524257ddf85dfba523c253e8a1c9f2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.065727Z digest=sha256:991417a7312c1b4b5a0b58a864eccf4c3d3d146001b4ab277b4af120aca821e9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.076867Z digest=sha256:56b0f5e2dc4ae7eaa04e67cfb6391ceb0fec446a3929ceccb77001f612488054

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.080382Z digest=sha256:9b8fd5aa996999996a291a5b80cc297f50577b98905d5b9a6e803b68f7b26f00

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.084074Z digest=sha256:db770474199b4bdf5386d3bf6853450a7b3fc5cc2531d96974f8bafbf6c71e23

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.087662Z digest=sha256:49b4ce0b3ba2b13b85bc95ec35587747ba1c42c11ab175f055721aa5a25eb976

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.092090Z digest=sha256:0b7835837b0ff69be0477fd214c42aa8da1ebf614de15309477633b09f82d293

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.100493Z digest=sha256:dd489137133d3170ed4f406a2e9797003cacc79d0c0db355ac6f843a3e3a5c02

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.104346Z digest=sha256:cd585a841a9be929ffacccd840e4f5bf8ee94195ed1107d7a935046724d16d10

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.108447Z digest=sha256:7f0829c217fffc0a6e0856a02c47fd97f1918cc5332e12703edcaeec2eb60dd2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.112150Z digest=sha256:c3f9415e2d5632677cea8214162be7a75fdd121c18b233c2ba0d8e0509f373e2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.115937Z digest=sha256:599379ede21fb96191f7d89d3b3614514fe4a76d080aa8949a2c3b1ee32117ce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.119592Z digest=sha256:6fe5c3574017ad465eefd45d8e6e47541459a882080b441fd10204f34e7a83d9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.123119Z digest=sha256:de0c4ab627505871b1ad037a8ff2e617866334bf15980192c2c6404816667b13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.127330Z digest=sha256:b65ec6b7c359c7f0908513835bf0eea9d553280f5ecfc9bf1e528673aef1b150

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.130771Z digest=sha256:e1526bd1727a830609b0b058456d73f0118e8d27292e5dfc39f1c2cc2c264578

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.134299Z digest=sha256:55dc9d08756d62d28ebf0cc6dad7e6fe59dee20e6dc33d7531dfc729f3e720a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.138051Z digest=sha256:0a62af154a461268c8983d0290c34ff84dcad5fd5a01cbe60ad2c3b203a03ef3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.149848Z digest=sha256:32b8375430c6c1bd52dfed355705d05e46d1304fff668ddb2c54d4c3c0087791

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.153100Z digest=sha256:315614efdc1894e0475264476a7290431a61dc950e704bd92b3313b9c0729587

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.156893Z digest=sha256:4813d9331fb8d3393b690a5ef9326013d97fdfb687b7fb6f649e0204fc0edd5b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.160445Z digest=sha256:823710615ff97238e3544cd1f488ff780f8eba9dad32248fd154233dc2840744

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.163912Z digest=sha256:ea42728118d48bf3938a70ef35dc8741bb7f149855a2cced6929134986d0b5e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.167401Z digest=sha256:4cc294e10c6af6339edeb998126e852d8272fddf8f7c4181e83df746c5df0187

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.174429Z digest=sha256:bb56e3edd3e9643f170883a3a1686dc7d4ea3b014e1251793fe12b5f49e78ac0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.177929Z digest=sha256:d2b822ec9cfed8ef3ec7a394da0ac229de45dd64767f65aac284aef7bb273ea3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.185111Z digest=sha256:e74bda6a3a75bffa803eccd5da2043fbf705a5f4decb2534602b7c28d6cff1c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.203653Z digest=sha256:fc2f733dfac5e905d4891920aceb53eaa71ff7039ae288bbdc3ca6918271deaa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.210798Z digest=sha256:fd863f829c9cc0ea9612aa9797b31e4ca5d70938a2328678d3f1865c34ca52a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.214537Z digest=sha256:6e817d89978e35282b236b312b2a616f3963bd97824e2915f090fbe26b5c2af0

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.218008Z digest=sha256:00e9dc2e7f756589577abe8440bc99aafdb9a7500fd8de67b989790f0d70c2ce

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.221617Z digest=sha256:534d475babc5ab23a214344943cc76a44477e977c2f028c21e181393623fd71b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.224832Z digest=sha256:478ee52ea9d470bb80d1af42eb46e582b946c858f74a6556d79b608025d40ac0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.228323Z digest=sha256:72119fb785e80fd0acbd3a91ab7f310c2e1b992c807962537708ff2253bb5512

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.231965Z digest=sha256:2df0fc3934ab0569ed3c1af712f94b3bb7c4b6a0ca451e23e6389f018226921c

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.235760Z digest=sha256:b123869295aa00b5448732cbefab04a7a25d7edb87b57de710f20e490c7d3df7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.239346Z digest=sha256:d9ba15ddb50f4844e7b0bc9bb4147a91437d1ad4c30d2978176c12984a68907a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.246739Z digest=sha256:a21914cf81b738aed9da16bb76ccb6e434c68a529a1cbde01b9697e28cbccd08

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.250308Z digest=sha256:2f83127e1ec950a175b7ddace1a1346e0c3c6c9b100072d031fbbe657374792f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.257553Z digest=sha256:8bc8c9e18b51cf59e39da1a971ac6b1ddec720e4629ef7ef24285e48dcad9414

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.267742Z digest=sha256:cb94df0b050b08dfd6a1d9aa359a93cb18998166da740f38581c025810c461c9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.275227Z digest=sha256:506464596f712cfbf434f548124b77fd0cfa827227be043e620067c59a15cc50

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.278748Z digest=sha256:2318ac9cd2d455996df5dd51ed80584da850956a863fe28eb976abb6ff7b3731

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.285508Z digest=sha256:76d3706ccfa2f03a0f722feb0214869bd21c1c9d6ab8c558e5bef0caa1beeec9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:05:56.288921Z digest=sha256:b7a2b29e004933b52d3251c2830240d6ab6e2289302d80b25b802f5954aeaa38

Pith citing papers

No inbound Pith citation observations are available.