What question did this study set out to answer?

The research aims to introduce a novel framework for associative memory that enhances recall via context control.

April 15, 2026Open Access

SPIRALbase: Access-Gated Associative Recall via Metric-Derived Projectors

Key Points

The research aims to introduce a novel framework for associative memory that enhances recall via context control.
Introduces SPIRALbase as a framework for access-gated associative memory.
Documents the P(k) variant using metric-derived projectors for recall gating.
Incorporates experiments and validation of the implementation of this new recall mechanism.
Demonstrated efficient recall through dynamic traversal of a shared recurrent landscape.
Validated the effectiveness of projector-gated recall compared to previous methods.
Showed improvements in disambiguation and integration across multiple turns in recall scenarios.

Abstract

SPIRALbase introduces an access-gated associative memory framework in which context geometry controls which parts of a shared recurrent landscape are dynamically traversable. This release documents the P (k) variant, where metric-derived projectors gate recall via P (k) @ J @ P (k), replacing an earlier coordinate-transform hypothesis that was empirically falsified. The repository includes the validated implementation, experiments, diaries, and article sources covering projector-gated recall, Atlas-style disambiguation, multi-turn smoke integration, capacity sweeps, dimensionality scaling, and the kappaₛnapped access path.

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