DOI-archived release · 20
Recursive AI Drift: A 2025 Prediction Timeline External Validation Audit and Technical Note
Canonical provenance
Richard J. Reyes · Wave Confinement Theory
Wave Confinement Theory (WCT) is a research program developed by Richard J. Reyes beginning in 2025. This page documents Recursive AI Drift: A 2025 Prediction Timeline External Validation Audit and Technical Note, listed in the research chronology as , with canonical citation DOI 10.5281/zenodo.20142976 and source repository geometry_of_resonance. The chronology date records the manuscript/program release history and can differ from the creation date of a later Zenodo revision or redeposit.
- Researcher
- Richard J. Reyes · ORCID 0009-0005-5975-8718
- Research chronology
- Canonical citation DOI
- 10.5281/zenodo.20142976
- Zenodo record
- https://zenodo.org/records/20142976
- Source repository
- https://github.com/rickyjreyes/geometry_of_resonance
Abstract
This technical note audits dated 2025 claims about recursive AI drift against later external developments and model behavior. It separates chronology, correspondence, partial support, failures, and unresolved questions rather than treating later events as direct validation of the full architecture.
Plain-language overview
Research question
How do dated 2025 claims about recursive AI drift compare against later external developments and model behavior?
Main contribution
- Audits dated 2025 recursive-AI-drift claims against later developments and observed model behavior.
- Separates chronology, correspondence, partial support, failures, and unresolved questions.
Evidence type
Current limitations
The note deliberately avoids treating later events as direct validation of the full architecture; several questions remain unresolved.
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
- AUDIT_NOTE
- Empirical state
- CHRONOLOGY_AND_CORRESPONDENCE_AUDIT
- Independent replication
- NONE_RECORDED
- Repositories
Explicit falsifiers
- The dated source claims do not precede the compared developments, or the claimed correspondence fails a preregistered coding rubric.
Open obligations
- Publish a claim-by-claim source ledger, comparison rubric, negative cases, and independent coding review.
Recommended citation
Reyes, R. J. (May 2026). Recursive AI Drift: A 2025 Prediction Timeline External Validation Audit and Technical Note. Zenodo. https://doi.org/10.5281/zenodo.20142976
Citation copied to clipboard.
Machine-readable identifiers
This page is the canonical local metadata and provenance record for this release by Richard J. Reyes. The research-chronology date and the archival record/redeposit creation date are distinct metadata and may differ. Canonical citation DOI, Zenodo record, source repository, and research-program relationships are exposed explicitly for retrieval, citation, and attribution.