State Space Models

Also known as SSM

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28 papers in the last four weeks, up 250% on the four weeks before. 0.3% of all new papers.

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An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It Reveals
Jul 13, 2026Raktim BhattacharyaSelective SSMs Neural Network Pruning
Aerospace Engineering, Texas A&M University
DSSMs: State Space Models with Explicit Memory via Delay Differential Equations
Jul 11, 2026Yixiao Qian, Song Chen, Jiaxu Liu +2Dynamical Systems Long-Context Modeling
College of Control Science and Engineering, Zhejiang University · Department of Mathematics, National University of Singapore · School of Mathematical Sciences, Zhejiang University
CHASE: Cache-Hole-Adapted Skip Exit for Looped State-Space Language Models
Jul 11, 2026Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo +1Efficient Language Model Inference LLM Reasoning
Rikkyo University · The University of Tokyo
UniSkip-Mamba: A Frequency-Aware State Space Model for Audio-Visual Temporal Forgery Localization
Jul 5, 2026Cangjin Qiu, Quan Zhang, Dan Jiang +1Frequency-Domain Feature Learning Deepfake Detection
Cangjin Qiu and Ke Zhang are with Soochow University, Suzhou, China. · Quan Zhang and Dan Jiang are with Tsinghua University, Beijing, China.
Vision Non-Causal Trapezoidal Mamba: Eliminating Directional Scanning in Vision SSMs with Second-Order Dynamics
Jul 3, 2026Anvitha Ramachandran, Dhruv Parikh, Haoyang Fan +2Visual SSMs State Space Models
University of Southern California · DEVCOM Army Research Office
SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
Jul 2, 2026Tomoshi Iiyama, Masahiro Suzuki, Yutaka MatsuoVideo Prediction State Space Models
The University of Tokyo
A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems
Jul 2, 2026Yuval Ran-Milo, Angelos Assos, Elad HazanDynamical Systems Online System Identification
Tel Aviv University · Princeton University
From Monolingual to Multilingual: Evaluating Mamba for ASR in South African Languages
Jul 1, 2026Jesujoba O. Alabi, Julian Herreilers, Badr M. Abdullah +1ASR Evaluation Low-Resource Language Processing
Saarland University, Germany · Saigen, South Africa
RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
Jun 30, 2026Xuyang Duan, Genyuan Zhang, Zhenjiang Dong +4Image Deblurring Industrial Inspection
Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, China · Engineering Research Center of Industrial CT Nondestructive Testing, Ministry of Education, Chongqing University, Chongqing, 400044, China
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
Jun 29, 2026Thai-Khanh Nguyen, Ngoc-Bich-Uyen Vo, Thieu N. Vo +2Long-Context Modeling Sequence Modeling
Faculty of Information Technology, Dainam University, Hanoi University of Science and Technology, Hanoi 10000, Vietnam · Faculty of Artificial Intelligence, Posts and Telecommunications Institute of Technology, Hanoi 10000, Vietnam · Department of Computer Science, University of Bath, Bath BA2 7AY, UK +1
SUMO: Segment and Track Any Motion with Nonlinear State Space Models
Jun 29, 2026Kexin Tian, Sixu Li, Keshu Wu +2Video Object Segmentation Visual Object Tracking
Texas A&M University
MASS: Motion-Aligned Selective Scan for Refinement in Flow-Based Video Frame Interpolation
Jun 26, 2026Jun-Sang Yoo, Seung-Won JungOptical Flow Video Frame Interpolation
Department of Electrical Engineering, Korea University, Seoul, Korea
SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning
Jun 24, 2026Omanshu ThapliyalLong-Context Language Modeling Reduced-Order Modeling
Hitachi America Ltd., Santa Clara, CA, USA.
State Space Models Meet Remote Sensing: A Survey
Jun 24, 2026Qinzhe Yang, Chenyang Liu, Jia Xu +2Remote Sensing Visual SSMs
Shen Yuan Honors College, Beihang University, Beijing 100191, China · Department of Aerospace Intelligent Science and Technology, School of Astronautics, Beihang University, Beijing 100191, China · State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China +1
Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models
Jun 24, 2026Qinzhe Yang, Keyan Chen, Jia Xu +2Remote Sensing Image Segmentation Instance Segmentation
Shen Yuan Honors College, Beihang University, Beijing 100191, China · Department of Aerospace Intelligent Science and Technology, School of Astronautics, and with the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China · Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China
MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction
Jun 23, 2026Peize Li, Fanhu Zeng, Tongda Xu +5Learned Image Compression Image Reconstruction
Institute for AI Industry Research (AIR), Tsinghua University · King’s College London · Dalian University of Technology +3
Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging
Jun 22, 2026Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin +1Image Reconstruction Expectation-Maximization
†SATIE, ENS Paris-Saclay, Universit´e Paris-Saclay, France · ‡L2S, CentraleSupelec, Universit´e Paris-Saclay, France
MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection
Jun 22, 2026Xiaobin Hu, Haoyang He, Bo Yin +5Mamba Reconstruction-Based Anomaly Detection
Zhejiang University, Hangzhou, China · School of Computing, National University of Singapore, Singapore · College of Computing and Data Science, Nanyang Technological University, Singapore +1
Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding
Jun 22, 2026Sen Li, Haichao Cui, Changhao Yin +4Physics-Informed ML Semantic Segmentation
Shanghai Key Laboratory of Materials Laser Processing and Modification, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
Diffusion-Driven State Space Models
Jun 19, 2026Jack Ruder, Michael WojnowiczLatent Dynamics Modeling Latent Diffusion Models
1Montana State University
Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
Jun 18, 2026M. Santos-Pascual, D. Ríos InsuaAdversarial Attacks Partially Observable RL
1Inst. Math. Sciences, Spanish Nat. Research Council, Madrid, Spain · Universidad Autónoma de Madrid, Escuela de Doctorado, Madrid, Spain
SIMBA: ABidirectional Retrieval Forward Simulation Framework for Modeling FY-4A GIIRS Hyperspectral Infrared Radiances Toward NWP Applications
Jun 18, 2026Jingdong Shen, Fu Wang*, Qifeng Lu +4Remote Sensing Hyperspectral Imaging
School of Computer Science and Engineering, Sichuan University of Science & Engineering, Yibin 644000, China · State Key Laboratory of Severe Weather Meteorological Science and Technology, CMA Earth System Modeling and Prediction Centre and Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 100081
SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models
Jun 18, 2026Feng Wu, Harsh Deep, Eric Lehman +5Electrocardiography Self-Supervised Time Series Representation Learning
Massachusetts Institute of Technology · OpenEvidence, USA · New York University +3
Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models
Jun 16, 2026Ramprasath Ganesaraja, Sahil Dilip Panse, Swathika NLLM Quantization Ternary Quantization
EdgeVerve Systems Limited
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices
Jun 16, 2026Marco Deano, Filippo Ziche, Nicola BombieriEfficient Neural Network Inference Neural Network Pruning
University of Verona Italy
Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation
Jun 16, 2026Sheng-Wei Chan, Hsin-Jui Pan, Jen-Shiun ChiangMamba Boundary-Aware Segmentation
Department of Electrical and Computer Engineering, Tamkang University, No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City, 251301, Taiwan
Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations
Jun 16, 2026Alejandro Posadas-Nava, Richard Linares, Minduli WijayatungaSpacecraft Rendezvous and Proximity Operations Control Barrier Functions
Researcher, AeroAstro, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139-4307. · Associate Professor and Rockwell International Career Development Professor, AeroAstro, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139-4307. · Assistant Professor, Department of Aerospace Engineering, University of Illinois, Urbana-Champaign, 104 S Wright St, Urbana, IL 61801.
NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama
Jun 16, 2026Logan Mann, Abdur Rahman, Mohammad Saifullah +2LLM World Models Multilingual Language Model Evaluation
University of California, Santa Barbara · Pocket FM
Quantum Enchanced Multi-Scale CNN with Bi-directional Mamba for Crop Field Analysis
Jun 15, 2026Mohammad Salman Khan, Ehsan Atoofian, Saad B. AhmedAgricultural Image Analysis Hyperspectral Image Classification
Department of Computer Science · Lakehead University · Thunder Bay, ON P7B5E1, Canada +1
Dynestyx: A Probabilistic Programming Library for Dynamical Systems
Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Dynamical Systems Parameter Estimation
1Basis Research Institute · 2Massachusetts Institute of Technology

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An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It Reveals

Raktim Bhattacharya

Aerospace Engineering, Texas A&M University

Selective SSMs Neural Network Pruning State Space Models

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Selective state-space models such as Mamba route information through a bank of first-order modes whose input coupling is set by a learned selection mechanism. We give an exact instrument for measuring how a trained model uses these modes. Because the state matrix is diagonal, each channel's output decomposes exactly into per-mode contributions, and a per-(layer, channel, window) Gram tensor yields the exact output error of dropping any subset of modes, offline, at any budget. Validated against the reference implementation to a relative error of

2.3\times10^{-7}

on the Mamba-1 family where it is exact, the instrument predicts a layer's deployed pruning error to a median relative deviation of

5\times10^{-7}

over

4{,}464

configurations, its floor set by the reconstruction. Applying the instrument across the Mamba-1 family (130M--2.8B), the deployed 7B Falcon-Mamba, and Mamba-2, we find that trained models re-allocate their state space with the input: which modes carry the signal migrates across contexts, and at the most affected layers a per-input oracle roughly halves the output error of a fixed mode set. Frozen-signal counterfactuals attribute the migration primarily to the input-dependent write map

B_t

; the timestep usually identified with selectivity carries almost none of it. Input-scheduled mode pruning on this measurement outperforms static, Hankel-based, and layer-adaptive rankings at every scale from 130M to the deployed 7B Falcon-Mamba, and at half the state budget it matches the unpruned model. Because the scheduler reads each window's mode usage from a first pass, this demonstrates realizable headroom; we claim no deployed compute or memory saving.

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