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

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 kappa_snapped access path.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19559471
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Robin Langell
Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

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

Robin Langell
article en

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 kappa_snapped access path.

Zenodo (CERN European Organization for Nuclear Research)
Kemakta Konsult (SE)
Openalex Percentile: Top 11%
Parallel Computing and Optimization Techniques
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