Why Do Time Series Models Need Long Context Windows? | Paper Citation Record

Observation f5684a33-6572-4698-84d5-24b15adb749d · 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.

Why Do Time Series Models Need Long Context Windows? Autoformer: Decomposition transformers with auto- correlation for long-term series forecasting.Advances in neural information processing systems, 34:22419–22430, 2021

Reference 1

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Observation 4779469c-75a1-44cd-b853-5100b9415201 · outbound

This paper cites Deep learning for time series forecasting: Tutorial and literature survey.ACM Computing Surveys, 55(6):1–36, 2022.

Why Do Time Series Models Need Long Context Windows? Deep learning for time series forecasting: Tutorial and literature survey.ACM Computing Surveys, 55(6):1–36, 2022

Reference 2

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Observation 49ba33d3-d43f-47ef-838c-b045d8d7d783 · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

Why Do Time Series Models Need Long Context Windows? Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:56:16.555808Z

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Observation d4938ab3-e27c-42c2-9633-909f338a2dc0 · outbound

This paper cites Some recent advances in forecasting and control.Journal of the Royal Statistical Society.

Why Do Time Series Models Need Long Context Windows? Some recent advances in forecasting and control.Journal of the Royal Statistical Society

Reference 4

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Observation 2905ad02-45ba-45f0-98fb-f2e6cc6ae934 · outbound

This paper cites Jeffrey L.

Why Do Time Series Models Need Long Context Windows? Jeffrey L

Reference 5

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Observation cf9ff48e-fc90-48ad-a120-2f2bfcd1d04c · outbound

This paper cites Recurrent neural networks for time series forecasting: Current status and future directions.International Journal of Forecasting, 37(1):388–427, 2021.

Why Do Time Series Models Need Long Context Windows? Recurrent neural networks for time series forecasting: Current status and future directions.International Journal of Forecasting, 37(1):388–427, 2021

Reference 6

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Observation bea8914e-6b29-4083-a696-63f875716d7b · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.International journal of forecasting, 36(3):1181–1191, 2020.

Why Do Time Series Models Need Long Context Windows? Deepar: Probabilistic forecasting with autoregressive recurrent networks.International journal of forecasting, 36(3):1181–1191, 2020

Reference 7

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Observation 907ed715-2ef0-4450-8c1e-630a992df14f · outbound

This paper cites The m4 competition: 100,000 time series and 61 forecasting methods.

Why Do Time Series Models Need Long Context Windows? The m4 competition: 100,000 time series and 61 forecasting methods

Reference 8

Resolution: verified exact; doi, observed 2026-06-28T16:02:21.924805Z

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correction dated 2021-05-19. Source: crossref record 10.1016/j.ijforecast.2021.01.013->10.1016/j.ijforecast.2019.04.014:correction, observed 2026-07-11T03:18:10.382131+00:00. This notice travels one citation hop only.

Observation 80c714b0-21df-4bff-8c56-2b5ac6e9a410 · outbound

This paper cites Principles and algorithms for forecasting groups of time series: Locality and globality.International Journal of Forecasting, 37(4):1632–1653, 2021.

Why Do Time Series Models Need Long Context Windows? Principles and algorithms for forecasting groups of time series: Locality and globality.International Journal of Forecasting, 37(4):1632–1653, 2021

Reference 9

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Observation 2c3d59cc-4df5-4b5f-869a-ec1d416bdab9 · outbound

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

Why Do Time Series Models Need Long Context Windows? Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 10

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Observation e6eb06b6-e42a-4d0c-a31c-08f40622a024 · outbound

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

Why Do Time Series Models Need Long Context Windows? A time series is worth 64 words: Long-term forecasting with transformers

Reference 11

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Observation 30efab65-d03d-4d07-a40e-3ba876a0718b · outbound

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

Why Do Time Series Models Need Long Context Windows? FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 12

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Observation 811f048b-41da-49be-b229-b9ae9f75523c · outbound

This paper cites Liu, and Schahram Dustdar.

Why Do Time Series Models Need Long Context Windows? Liu, and Schahram Dustdar

Reference 13

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Observation 52ea08ae-d605-40cb-8d75-d5b05028f15f · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Why Do Time Series Models Need Long Context Windows? A decoder-only foundation model for time-series forecasting

Reference 14

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Observation ec91219c-8a2a-4950-bc69-0c13a9ea2458 · outbound

This paper cites Unified training of universal time series forecasting transformers.

Why Do Time Series Models Need Long Context Windows? Unified training of universal time series forecasting transformers

Reference 15

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Observation e41681b8-fac3-4a2b-87d1-aa356dfef8fc · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Why Do Time Series Models Need Long Context Windows? MOMENT: A Family of Open Time-series Foundation Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.553051Z

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Observation 6e006046-e36d-4803-b9a4-474e8bc07c51 · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

Why Do Time Series Models Need Long Context Windows? Foundation models for time series analysis: A tutorial and survey

Reference 17

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Observation 1aa7e8ae-cfbd-4c17-a771-ee85f6905870 · outbound

This paper cites An explanation of in-context learning as implicit bayesian inference.

Why Do Time Series Models Need Long Context Windows? An explanation of in-context learning as implicit bayesian inference

Reference 18

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Observation 306d1a92-9c6d-4289-a426-131e713840c8 · outbound

This paper cites What learning algorithm is in-context learning? investigations with linear models.

Why Do Time Series Models Need Long Context Windows? What learning algorithm is in-context learning? investigations with linear models

Reference 19

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Observation c5c769bf-50ac-48e3-8809-8bf2030aa570 · outbound

This paper cites Transformers as algorithms: Generalization and stability in in-context learning.

Why Do Time Series Models Need Long Context Windows? Transformers as algorithms: Generalization and stability in in-context learning

Reference 20

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Observation fe4f94d2-cd27-4a0e-8079-c8049369bc1e · outbound

This paper cites What and how does in-context learning learn? bayesian model averaging, parameterization, and generalization.

Why Do Time Series Models Need Long Context Windows? What and how does in-context learning learn? bayesian model averaging, parameterization, and generalization

Reference 21

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Observation 21f5b77e-9895-49b6-b7c5-ec9db38f348b · outbound

This paper cites an unresolved cited work.

Why Do Time Series Models Need Long Context Windows? Unresolved cited work

Reference 22

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Observation a2b19077-7524-4899-b782-9536036b0857 · outbound

This paper cites A Survey on In-context Learning.

Why Do Time Series Models Need Long Context Windows? A Survey on In-context Learning

Reference 23

Resolution: verified exact; doi, observed 2026-06-28T16:02:21.922729Z

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Observation 004e5bce-a6c5-4e00-84dd-cc1206d30037 · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

Why Do Time Series Models Need Long Context Windows? Chronos-2: From Univariate to Universal Forecasting

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:56:16.545090Z

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Observation 839a97c1-cbb3-4acc-984f-91f0bd46617c · outbound

This paper cites Making and evaluating point forecasts.Journal of the American Statistical Association, 106 (494):746–762, 2011.

Why Do Time Series Models Need Long Context Windows? Making and evaluating point forecasts.Journal of the American Statistical Association, 106 (494):746–762, 2011

Reference 25

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Observation 94e961ac-a8f6-4d0b-9c77-b95c6e356391 · outbound

This paper cites Chapman and Hall/CRC, 1995.

Why Do Time Series Models Need Long Context Windows? Chapman and Hall/CRC, 1995

Reference 26

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Observation fc551a04-57f4-4b5a-aefe-f104e69dff0b · outbound

This paper cites Chan, Biao Zhang, Aleksandra Faust, and Hugo Larochelle.

Why Do Time Series Models Need Long Context Windows? Chan, Biao Zhang, Aleksandra Faust, and Hugo Larochelle

Reference 27

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Observation 0e7da235-9142-4415-8fee-91a0279d2609 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Why Do Time Series Models Need Long Context Windows? Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 28

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Observation 5a2f9909-2acf-45d8-87ed-721ee54d4395 · outbound

This paper cites Moirai 2.0: When less is more for time series forecasting.

Why Do Time Series Models Need Long Context Windows? Moirai 2.0: When less is more for time series forecasting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.547607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a50cf3a-defc-447c-b58f-f1af4fd551e1 · outbound

This paper cites Timer-xl: Long-context transformers for unified time series forecasting.

Why Do Time Series Models Need Long Context Windows? Timer-xl: Long-context transformers for unified time series forecasting

Reference 30

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Observation b48976fb-d179-4bc5-af4c-b09abead7280 · outbound

This paper cites Largest: A benchmark dataset for large-scale traffic forecasting.Advances in Neural Information Processing Systems, 36:75354–75371, 2023.

Why Do Time Series Models Need Long Context Windows? Largest: A benchmark dataset for large-scale traffic forecasting.Advances in Neural Information Processing Systems, 36:75354–75371, 2023

Reference 31

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Observation bc24d352-a4a0-4663-ab33-8000caa09dee · outbound

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Why Do Time Series Models Need Long Context Windows? Unresolved cited work

Reference 32

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Observation 24e8ddf7-ecac-4dbf-b6be-40e43e05fb89 · outbound

This paper cites On the properties of neural machine translation: Encoder -- decoder approaches.

Why Do Time Series Models Need Long Context Windows? On the properties of neural machine translation: Encoder -- decoder approaches

Reference 33

Resolution: verified exact; doi, observed 2026-06-28T16:02:21.920698Z

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Observation 278dcc86-c801-41ba-9379-daab8ce0bb2d · outbound

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

Why Do Time Series Models Need Long Context Windows? Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 34

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Observation 790b6331-8714-4fa7-aabd-1438ff3dd8f2 · outbound

This paper cites Tsmixer: An all-mlp architecture for time series forecast-ing.Transactions on Machine Learning Research, 2023.

Why Do Time Series Models Need Long Context Windows? Tsmixer: An all-mlp architecture for time series forecast-ing.Transactions on Machine Learning Research, 2023

Reference 35

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Observation c2967dc2-e5cb-4058-a5db-cdfa889bbfcb · outbound

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

Why Do Time Series Models Need Long Context Windows? Moderntcn: A modern pure convolution structure for general time series analysis

Reference 36

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Observation 347055f6-af12-423f-a113-66b5a91567b6 · outbound

This paper cites Resurrecting recurrent neural networks for long sequences.

Why Do Time Series Models Need Long Context Windows? Resurrecting recurrent neural networks for long sequences

Reference 37

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Observation be3d658b-7d44-4b7c-91b1-359b46580bf3 · outbound

This paper cites Foundation Models for Time Series: A Survey.

Why Do Time Series Models Need Long Context Windows? Foundation Models for Time Series: A Survey

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.539424Z

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Observation 70f00d92-d889-40df-b41d-fd63218d3a68 · outbound

This paper cites In-context fine-tuning for time-series foundation models.

Why Do Time Series Models Need Long Context Windows? In-context fine-tuning for time-series foundation models

Reference 39

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Observation a9586bb6-7c5a-4203-af4b-b0642d4c7924 · outbound

This paper cites Zero-Shot Time Series Forecasting with Covariates via In-Context Learning.

Why Do Time Series Models Need Long Context Windows? Zero-Shot Time Series Forecasting with Covariates via In-Context Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.534048Z

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Observation b2e098b8-1913-4fd3-9e9c-1b525a4f286c · outbound

This paper cites Context is key: A benchmark for forecasting with essential textual information.

Why Do Time Series Models Need Long Context Windows? Context is key: A benchmark for forecasting with essential textual information

Reference 41

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Observation e22eeffc-b6d6-482f-95a8-98dd7493cff6 · outbound

This paper cites In-context time series predictor.

Why Do Time Series Models Need Long Context Windows? In-context time series predictor

Reference 42

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Observation fd0b4896-74ce-4c90-99a1-0efecc64d5fe · outbound

This paper cites A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting.

Why Do Time Series Models Need Long Context Windows? A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

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Observation 4c7a9cfc-e65e-4243-bb45-988a90b872ac · outbound

This paper cites Taming local effects in graph-based spatiotempo- ral forecasting.Advances in Neural Information Processing Systems, 36:55375–55393, 2023.

Why Do Time Series Models Need Long Context Windows? Taming local effects in graph-based spatiotempo- ral forecasting.Advances in Neural Information Processing Systems, 36:55375–55393, 2023

Reference 44

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Observation 69c5dab3-0066-48ed-8372-1010c2f19249 · outbound

This paper cites On the regularization of learnable embeddings for time series forecasting.Transactions on Machine Learning Research, 2025.

Why Do Time Series Models Need Long Context Windows? On the regularization of learnable embeddings for time series forecasting.Transactions on Machine Learning Research, 2025

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Observation c18c84fe-d7c6-4a3f-adf6-9f8baab0e28b · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

Why Do Time Series Models Need Long Context Windows? Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:56:16.536733Z

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Observation 11c4bac0-ee66-4676-805c-4f52fa817544 · outbound

This paper cites Graph-based virtual sensing from sparse and partial multivariate observations.

Why Do Time Series Models Need Long Context Windows? Graph-based virtual sensing from sparse and partial multivariate observations

Reference 47

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Observation 6033273f-9248-4c9b-8b21-79896d582080 · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

Why Do Time Series Models Need Long Context Windows? GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

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Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.531262Z

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Observation ec1bbcce-2917-4426-baec-bc68884abb0a · outbound

This paper cites Timer: generative pre-trained transformers are large time series models.

Why Do Time Series Models Need Long Context Windows? Timer: generative pre-trained transformers are large time series models

Reference 49

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Observation ca449e82-ef4d-48e5-a610-7dab344f5378 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Why Do Time Series Models Need Long Context Windows? Adam: A Method for Stochastic Optimization

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:56:16.528231Z

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Observation 8f262a39-213b-4887-b950-948b0bca06dc · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Why Do Time Series Models Need Long Context Windows? Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 51

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Observation 20051cca-e6ed-4990-ba88-9d28c1720221 · outbound

This paper cites Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio.

Why Do Time Series Models Need Long Context Windows? Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 52

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Observation 2dfdacf2-4731-4535-a407-db4abbcb4862 · outbound

This paper cites One fits all: Power general time series analysis by pretrained LM.

Why Do Time Series Models Need Long Context Windows? One fits all: Power general time series analysis by pretrained LM

Reference 53

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Observation b03d7474-32e7-4473-b894-727601838252 · outbound

This paper cites Lag-llama: Towards foundation models for time series forecasting.

Why Do Time Series Models Need Long Context Windows? Lag-llama: Towards foundation models for time series forecasting

Reference 54

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Observation 67b05acd-7808-483d-aeda-af83249a4e5f · outbound

This paper cites Chronos: Learning the language of time series.Transactions on Machine Learning Research, 2024.

Why Do Time Series Models Need Long Context Windows? Chronos: Learning the language of time series.Transactions on Machine Learning Research, 2024

Reference 55

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Observation cde26aa5-18ce-4c87-9837-159f53fa2c23 · outbound

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

Why Do Time Series Models Need Long Context Windows? Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

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Observation 9a37cd8a-d48d-4dbd-babf-10fcc71052ec · outbound

This paper cites Description based text classification with reinforcement learning.

Why Do Time Series Models Need Long Context Windows? Description based text classification with reinforcement learning

Reference 57

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Observation 31101a1c-8902-4cd5-9c92-13a834f05f2c · outbound

This paper cites Finetuned language models are zero-shot learners.

Why Do Time Series Models Need Long Context Windows? Finetuned language models are zero-shot learners

Reference 58

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Observation 7b0d7f6d-f1cc-4400-b536-572f25737058 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Why Do Time Series Models Need Long Context Windows? Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

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Observation 430f7187-833c-4086-b347-defd04aa7ad2 · outbound

This paper cites Meta-learning via language model in-context tuning.

Why Do Time Series Models Need Long Context Windows? Meta-learning via language model in-context tuning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

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Observation 403ee155-7ec5-4061-94a9-4c25f71b1cba · outbound

This paper cites Metaicl: Learning to learn in context.

Why Do Time Series Models Need Long Context Windows? Metaicl: Learning to learn in context

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation 03299c5e-a650-4498-8f6a-3fb1cffce65e · outbound

This paper cites In-context pretraining: Language modeling beyond document boundaries.

Why Do Time Series Models Need Long Context Windows? In-context pretraining: Language modeling beyond document boundaries

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32344e8c-c483-4a41-8ccc-6163801608a6 · outbound

This paper cites Fforma: Feature-based forecast model averaging.International Journal of Forecasting, 36(1):86–92, 2020.

Why Do Time Series Models Need Long Context Windows? Fforma: Feature-based forecast model averaging.International Journal of Forecasting, 36(1):86–92, 2020

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation 3f60d2b2-82f3-4a2b-b5d6-ec6fea287fc9 · outbound

This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.

Why Do Time Series Models Need Long Context Windows? Learning to control fast-weight memories: An alternative to dynamic recurrent networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation c4fd1b1a-681e-44f7-8e1b-bdd77ea3c6bf · outbound

This paper cites Hypernetworks.

Why Do Time Series Models Need Long Context Windows? Hypernetworks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation f251934d-e3f1-4d10-84d6-59d48517f1c7 · outbound

This paper cites Meta-learning framework with applications to zero-shot time-series forecasting.

Why Do Time Series Models Need Long Context Windows? Meta-learning framework with applications to zero-shot time-series forecasting

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation 93359524-0613-4363-9817-6ae21ab42334 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Why Do Time Series Models Need Long Context Windows? Model-agnostic meta-learning for fast adaptation of deep networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

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Observation 2fff45f0-adab-46de-baec-52cfd2663d7a · outbound

This paper cites Meta-learning how to forecast time series.

Why Do Time Series Models Need Long Context Windows? Meta-learning how to forecast time series

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-28T15:52:40.568646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39b3266-318e-4876-82f7-97fb1875b01a · outbound

This paper cites Tailored Forecasting from Short Time Series via Meta-learning.

Why Do Time Series Models Need Long Context Windows? Tailored Forecasting from Short Time Series via Meta-learning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-08-05T00:40:39.026315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74234971-ecc9-4d96-9b4d-9e4895f35bae · outbound

This paper cites TheMoiraifamily [ 15, 28] further extended the line of probabilistic foundation models with encoder-only and decoder-only architectures.

Why Do Time Series Models Need Long Context Windows? TheMoiraifamily [ 15, 28] further extended the line of probabilistic foundation models with encoder-only and decoder-only architectures

Reference 70

Resolution: malformed identifier; arxiv_id, observed 2026-07-01T21:56:16.542727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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