mlsanityData to 7 Oct 2026

Time series forecasting with SSMs

88 papers2 this weekMedium confidence in this grouping: mostly one topic, with blurry edgesMedium confidence in this grouping: mostly one topic, with blurry edges · About

Keywords: time, series, time series, forecasting, mamba

Key facts. Time series forecasting with SSMs: 88 papers on arXiv since 2022 (data through 7 Oct 2026). 17 of its 88 mapped papers (19%) cite “TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting” (2024, arXiv 2403.09898). 17 of its 88 mapped papers (19%) cite “Is Mamba Effective for Time Series Forecasting?” (2024, arXiv 2403.11144). 5 new papers 18 Sep–7 Oct.

What’s new

18 Sep – 7 Oct 2026

5 new papers, 18 Sep – 7 Oct; 2 this week.

  1. This week · 2
  2. HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting
  3. GeoPrior-Mamba: Structured Process Priors with Mamba for Fine-Resolution XCO2 Reconstruction
  4. Earlier · 3
  5. LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models
  6. State-Space Unlearning for Non-Stationary Bias in Land Surface Forecasting
  7. Physics and Data Driven Transformer-Mamba Framework for Flow Field

Foundations

Most cited by papers here

  1. TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting2024cited by 17 here
  2. Is Mamba Effective for Time Series Forecasting?2024cited by 17 here
  3. Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting2024cited by 4 here
  4. MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting2024cited by 4 here
  5. State-space models are accurate and efficient neural operators for dynamical systems2024cited by 4 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 39 here
  2. 2022Diagonal State Spaces are as Effective as Structured State Spacescited by 3 here
  3. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 61 here
  4. 2024U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentationcited by 3 here
  5. 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 18 here
  6. 2024Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spacescited by 3 here
  7. 2024Graph Mamba: Towards Learning on Graphs with State Space Modelscited by 3 here
  8. 2024The Hidden Attention of Mamba Modelscited by 4 here
  9. 2024Jamba: A Hybrid Transformer-Mamba Language Modelcited by 7 here
  10. 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Dualitycited by 11 here
  11. 2024A Survey of Mambacited by 5 here
13 more it builds on, not in this chain
  1. 2022Simplified State Space Layers for Sequence Modelingcited by 10 here
  2. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 3 here
  3. 2024VideoMamba: State Space Model for Efficient Video Understandingcited by 7 here
  4. 2024LocalMamba: Visual State Space Model with Windowed Selective Scancited by 3 here
  5. 2024TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecastingcited by 17 here
  6. 2024Is Mamba Effective for Time Series Forecasting?cited by 17 here
  7. 2024SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time seriescited by 5 here
  8. 2024Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentationcited by 3 here
  9. 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detectioncited by 3 here
  10. 2024Bi-Mamba+: Bidirectional Mamba for Time Series Forecastingcited by 4 here
  11. 2024Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challengescited by 3 here
  12. 2024MambaTS: Improved Selective State Space Models for Long-term Time Series Forecastingcited by 4 here
  13. 2024State-space models are accurate and efficient neural operators for dynamical systemscited by 4 here

The 24 most cited of 108.

Browse

30 of 88, ranked 6–35

  1. 6MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection20243
  2. 7TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification20243
  3. 8CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting20243
  4. 9FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting20243
  5. 10Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs20243
  6. 11VADMamba: Exploring State Space Models for Fast Video Anomaly Detection20252
  7. 12ms-Mamba: Multi-scale Mamba for Time-Series Forecasting20252
  8. 13SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting20242
  9. 14STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection20242
  10. 15Mamba Adaptive Anomaly Transformer with association discrepancy for time series20251
All 30
  1. 16Latent Mamba Operator for Partial Differential Equations20251
  2. 17FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction20251
  3. 18DTMamba : Dual Twin Mamba for Time Series Forecasting20241
  4. 19SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting20241
  5. 20UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba20241
  6. 21A Mamba Foundation Model for Time Series Forecasting20241
  7. 22Deep Latent State Space Models for Time-Series Generation20221
  8. 23MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs20260
  9. 24Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains20260
  10. 25DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis20260
  11. 26FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection20260
  12. 27ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting20260
  13. 28DMamba: Decomposition-enhanced Mamba for Time Series Forecasting20260
  14. 29Frequency-Enhanced Hilbert Scanning Mamba for Short-Term Arctic Sea Ice Concentration Prediction20260
  15. 30UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration20260
  16. 31VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space20260
  17. 32MambaSL: Exploring Single-Layer Mamba for Time Series Classification20260
  18. 33AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting20260
  19. 34Bilinear Mamba-Koopman Neural MPC for Varying Dynamics20260
  20. 35When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains20260