Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Garza, Azul, Rosillo, Renée, Mendoza-Smith, Rodrigo, Salinas, David, Williams, Andrew Robert, Ashok, Arjun, Goswami, Mononito, Juárez, José Martín |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TimeCopilot
by: Garza, Azul, et al.
Published: (2025)
by: Garza, Azul, et al.
Published: (2025)
TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
by: Gwiazda, Malgorzata, et al.
Published: (2026)
by: Gwiazda, Malgorzata, et al.
Published: (2026)
TimeSeriesExam: A time series understanding exam
by: Cai, Yifu, et al.
Published: (2024)
by: Cai, Yifu, et al.
Published: (2024)
Implicit Reasoning in Deep Time Series Forecasting
by: Potosnak, Willa, et al.
Published: (2024)
by: Potosnak, Willa, et al.
Published: (2024)
TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
by: Cai, Yifu, et al.
Published: (2025)
by: Cai, Yifu, et al.
Published: (2025)
MICA: Multivariate Infini Compressive Attention for Time Series Forecasting
by: Potosnak, Willa, et al.
Published: (2026)
by: Potosnak, Willa, et al.
Published: (2026)
Exploring Representations and Interventions in Time Series Foundation Models
by: Wiliński, Michał, et al.
Published: (2024)
by: Wiliński, Michał, et al.
Published: (2024)
Towards Long-Context Time Series Foundation Models
by: Żukowska, Nina, et al.
Published: (2024)
by: Żukowska, Nina, et al.
Published: (2024)
AQuA: A Benchmarking Tool for Label Quality Assessment
by: Goswami, Mononito, et al.
Published: (2023)
by: Goswami, Mononito, et al.
Published: (2023)
MOMENT: A Family of Open Time-series Foundation Models
by: Goswami, Mononito, et al.
Published: (2024)
by: Goswami, Mononito, et al.
Published: (2024)
Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
by: Riachi, Roland, et al.
Published: (2025)
by: Riachi, Roland, et al.
Published: (2025)
ARFBench: Benchmarking Time Series Question Answering Ability for Software Incident Response
by: Xie, Stephan, et al.
Published: (2026)
by: Xie, Stephan, et al.
Published: (2026)
Investigating Compositional Reasoning in Time Series Foundation Models
by: Potosnak, Willa, et al.
Published: (2025)
by: Potosnak, Willa, et al.
Published: (2025)
TimeGPT-1
by: Garza, Azul, et al.
Published: (2023)
by: Garza, Azul, et al.
Published: (2023)
Context is Key: A Benchmark for Forecasting with Essential Textual Information
by: Williams, Andrew Robert, et al.
Published: (2024)
by: Williams, Andrew Robert, et al.
Published: (2024)
Overcoming the Modality Gap in Context-Aided Forecasting
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
by: Zheng, Vincent Zhihao, et al.
Published: (2026)
Paper Impermanence As a Consequence of pH and Storage Conditions
by: Smith, Richard Daniel
Published: (1969)
by: Smith, Richard Daniel
Published: (1969)
Impermanence in Siddhar Songs
by: Dr.SALMA MAHAJABEEN T M
Published: (2025)
by: Dr.SALMA MAHAJABEEN T M
Published: (2025)
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
by: Rasul, Kashif, et al.
Published: (2023)
by: Rasul, Kashif, et al.
Published: (2023)
Conditioned Transience: Impermanence as the Foundational Principle of Physical Law
by: Remington, Aaron Robert
Published: (2026)
by: Remington, Aaron Robert
Published: (2026)
STAMP: Spatial-Temporal Adapter with Multi-Head Pooling
by: Shook, Brad, et al.
Published: (2025)
by: Shook, Brad, et al.
Published: (2025)
The Impermanence of Maps in the Information Age.
by: McGlamery, Patrick
Published: (1999)
by: McGlamery, Patrick
Published: (1999)
Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs
by: Ashok, Arjun, et al.
Published: (2025)
by: Ashok, Arjun, et al.
Published: (2025)
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
by: Qiao, Zhongzheng, et al.
Published: (2026)
by: Qiao, Zhongzheng, et al.
Published: (2026)
MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering
by: Chen, Jialin, et al.
Published: (2025)
by: Chen, Jialin, et al.
Published: (2025)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
by: Ashok, Arjun, et al.
Published: (2023)
by: Ashok, Arjun, et al.
Published: (2023)
Benchmarks for Solar Radiation Time Series Forecasting
by: Voyant, Cyril, et al.
Published: (2022)
by: Voyant, Cyril, et al.
Published: (2022)
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications
by: Arab, Issar, et al.
Published: (2025)
by: Arab, Issar, et al.
Published: (2025)
A Temporal Linear Network for Time Series Forecasting
by: Genet, Remi, et al.
Published: (2024)
by: Genet, Remi, et al.
Published: (2024)
Temporally Unified Adversarial Perturbations for Time Series Forecasting
by: Su, Ruixian, et al.
Published: (2026)
by: Su, Ruixian, et al.
Published: (2026)
Impermanent loss and Loss-vs-Rebalancing II
by: Alexander, Abe, et al.
Published: (2025)
by: Alexander, Abe, et al.
Published: (2025)
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
by: Aksu, Taha, et al.
Published: (2024)
by: Aksu, Taha, et al.
Published: (2024)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)
by: Lee, Jaehoon, et al.
Published: (2026)
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python
by: Olivares, Kin G., et al.
Published: (2022)
by: Olivares, Kin G., et al.
Published: (2022)
Unified Long-Term Time-Series Forecasting Benchmark
by: Cyranka, Jacek, et al.
Published: (2023)
by: Cyranka, Jacek, et al.
Published: (2023)
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
by: Leppich, Robert, et al.
Published: (2025)
by: Leppich, Robert, et al.
Published: (2025)
Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
by: Garcia, Kevin, et al.
Published: (2025)
by: Garcia, Kevin, et al.
Published: (2025)
From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting
by: Hoo, Shi Bin, et al.
Published: (2025)
by: Hoo, Shi Bin, et al.
Published: (2025)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Similar Items
-
TimeCopilot
by: Garza, Azul, et al.
Published: (2025) -
TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale
by: Gwiazda, Malgorzata, et al.
Published: (2026) -
TimeSeriesExam: A time series understanding exam
by: Cai, Yifu, et al.
Published: (2024) -
Implicit Reasoning in Deep Time Series Forecasting
by: Potosnak, Willa, et al.
Published: (2024) -
TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
by: Cai, Yifu, et al.
Published: (2025)