Reference change · event page

International Journal of Forecasting 36, 54–74

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 9 open · 9 total · 0 disputed

DOI: 10.1016/j.ijforecast.2019.04.014
Notice DOI: 10.1016/j.ijforecast.2021.01.013
Event date: 2021-05-19
Machine twin: JSON

01One-hop citing occurrences

Correction Open

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting

ref [34] · 2509.23597 · notice #6871 · dispute

Raw extraction · bibliography line

Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos. The m4 competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting, 36 0 (1): 0 54--74, 2020. ISSN 0169-2070. doi:https://doi.org/10.1016/j.ijforecast.2019.04.014. URL https://www.sciencedirect.com/science/article/pii/S0169207019301128. M4 Competition

Correction Open

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning

ref [18] · 2602.12120 · notice #6870 · dispute

Raw extraction · bibliography line

doi:10.1016/j.ijforecast.2019.04.014. URL https://www.sciencedirect.com/science/article/ pii/S0169207019301128. M4 Competition

Correction Open

Deepbullwhip: An Open-Source Simulation and Benchmarking for Multi-Echelon Bullwhip Analyses

ref [38] · 2604.13478 · notice #6868 · dispute

Raw extraction · bibliography line

S. Makridakis, E. Spiliotis, V. Assimakopoulos, The M4 competition: 100,000 time series and 61 forecasting methods, International Journal of Forecasting36(2020)54–74.doi:10.1016/j.ijforecast.2019.04.014

Correction Open

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

ref [5] · 2605.12768 · notice #6869 · dispute

Raw extraction · bibliography line

doi: 10.1016/j.ijforecast.2019.04.014. Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos. M5 accuracy competition: Results, findings, and conclusions.International Journal of Forecasting, 38(4):1346–1364,

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doi: 10.1016/j.ijforecast.2019.04.014. Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos. M5 accuracy competition: Results, findings, and conclusions.International Journal of Forecasting, 38(4):1346–1364

Correction Open

TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models

ref [15] · 2605.26161 · notice #6876 · dispute

Raw extraction · bibliography line

doi: 10.1016/j.ijforecast.2019.04.014. B. W. Matthews. Comparison of the predicted and observed secondary structure of T4 phage lysozyme.Biochimica et Biophysica Acta (BBA) - Protein Structure, 405(2):442–451,

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doi: 10.1016/j.ijforecast.2019.04.014. B. W. Matthews. Comparison of the predicted and observed secondary structure of T4 phage lysozyme.Biochimica et Biophysica Acta (BBA) - Protein Structure, 405(2):442–451

Correction Open

Stabilizing distribution-free probabilistic forecasts

ref [25] · 2605.28531 · notice #6875 · dispute

Raw extraction · bibliography line

The M4-competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting 36, 54–74. doi:10.1016/j.ijforecast.2019.04.014. Makridakis, S., Spiliotis, E., Assimakopoulos, V.,

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The M4-competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting 36, 54–74. doi:10.1016/j.ijforecast.2019.04.014. Makridakis, S., Spiliotis, E., Assimakopoulos, V

Correction Open

Why Do Time Series Models Need Long Context Windows?

ref [8] · 2606.01999 · notice #6874 · dispute

Raw extraction · bibliography line

Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos. The m4 competition: 100,000 time series and 61 forecasting methods.International Journal of Forecasting, 36(1):54–74, 2020. ISSN 0169-2070. doi:https://doi.org/10.1016/j.ijforecast.2019.04.014. URL https://www.sciencedirect.com/ science/article/pii/S0169207019301128. M4 Competition

Correction Open

ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

ref [16] · 2606.18049 · notice #6873 · dispute

Raw extraction · bibliography line

ISSN 0169-2070. doi: https://doi.org/10.1016/j.ijforecast.2019.04.014. URL https://www. sciencedirect.com/science/article/pii/S0169207019301128. M4 Competition. Amin Nayebi, Sindhu Tipirneni, Chandan K Reddy, Brandon Foreman, and Vignesh Subbian. Windowshap: An efficient framework for explaining time-series classifiers based on shapley values,

Parser render (TeX stripped for reading; raw above is the evidence)

ISSN 0169-2070. doi: https://doi.org/10.1016/j.ijforecast.2019.04.014. URL https://www. sciencedirect.com/science/article/pii/S0169207019301128. M4 Competition. Amin Nayebi, Sindhu Tipirneni, Chandan K Reddy, Brandon Foreman, and Vignesh Subbian. Windowshap: An efficient framework for explaining time-series classifiers based on shapley values

Correction Open

Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

ref [45] · 2606.19560 · notice #6872 · dispute

Raw extraction · bibliography line

S. Makridakis, E. Spiliotis, and V . Assimakopoulos, “The m4 competition: 100,000 time series and 61 forecasting methods,” International Journal of Forecasting, vol. 36, no. 1, pp. 54–74, 2020. [Online]. Available: https://doi.org/10.1016/j.ijforecast.2019.04.014

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