Spatial-FWP Mamba - a dual-memory architecture for spatial sequence tasks.

Spatial-FWP Mamba is a dual-memory architecture for spatial sequence tasks. Mamba maintains temporal context, such as recent events and task progress, while Spatial-FWP maintains spatial context associated with previously visited locations. The two memory streams are updated independently. Spatial information retrieved from Spatial-FWP is not continuously written back into the recurrent state of Mamba. Instead, temporal and spatial context are combined only when the model performs the current prediction or decision. This helps reduce long-term interference between spatial memory and temporal state.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22076488
Primary Topic
Constraint Satisfaction and Optimization
Type
preprint
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preprint

Spatial-FWP Mamba - a dual-memory architecture for spatial sequence tasks.

Dian Yu
Zenodo (CERN European Organization for Nuclear Research)
Constraint Satisfaction and Optimization
preprint

Spatial-FWP Mamba - a dual-memory architecture for spatial sequence tasks.

Dian Yu
preprint en

Abstract

Spatial-FWP Mamba is a dual-memory architecture for spatial sequence tasks. Mamba maintains temporal context, such as recent events and task progress, while Spatial-FWP maintains spatial context associated with previously visited locations. The two memory streams are updated independently. Spatial information retrieved from Spatial-FWP is not continuously written back into the recurrent state of Mamba. Instead, temporal and spatial context are combined only when the model performs the current prediction or decision. This helps reduce long-term interference between spatial memory and temporal state.

Zenodo (CERN European Organization for Nuclear Research)
Constraint Satisfaction and Optimization
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Spatial-FWP Mamba - a dual-memory architecture for spatial sequence tasks. — Dian Yu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS