Preprint · Release 05
Resonance-Confinement Architecture: A Physically Bounded Substrate for Safe Superintelligence
Abstract
This architecture proposal maps resonance, coherence, bounded curvature, contradiction control, and Lyapunov-like stabilization into an artificial-intelligence substrate. It is presented as a physically bounded design framework and research specification, not as a completed artificial general intelligence implementation.
Plain-language overview
Research question
Can resonance, coherence, bounded curvature, and Lyapunov-like stabilization be mapped into a physically bounded substrate for artificial intelligence?
Main contribution
- Maps resonance, coherence, bounded curvature, and contradiction control into an AI substrate design.
- Specifies Lyapunov-like stabilization as a bounding mechanism.
- Frames the result as a design framework and research specification.
Evidence type
Current limitations
It is a design framework and research specification, not a completed or evaluated artificial general intelligence implementation.
Research assets
- Read & download
- Zenodo record (manuscript and files)
- Research program hub
- geometry_of_resonance — equations, manuscripts, and simulations
Related works
Verification and traceability
This section is generated from the canonical publication traceability registry. Empty fields are reported rather than inferred.
- Claim IDs
- Equation IDs
- SymPy audit
- Lean coverage
- Assumptions
- Formalization
- ARCHITECTURE_ONLY
- Empirical state
- NOT_EVALUATED_AS_AGI
- Independent replication
- NONE_RECORDED
- Repositories
Explicit falsifiers
- A concrete implementation fails its declared stability, contradiction-control, or drift-resistance benchmarks.
Open obligations
- Publish an executable specification, benchmark suite, ablations, failure modes, and external evaluation.
Recommended citation
Reyes, R. J. (June 11, 2025). Resonance-Confinement Architecture: A Physically Bounded Substrate for Safe Superintelligence. Zenodo. https://doi.org/10.5281/zenodo.17732661
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Machine-readable identifiers
This landing page provides accessible summaries and citation metadata for an archival preprint. The authoritative manuscript and downloadable files are maintained on the Zenodo DOI record. Wave Confinement Theory is an evolving independent framework; claims should be evaluated according to the derivations, simulations, experiments, data analyses, assumptions, and limitations stated in the paper itself.