# Research navigation

Title: Ŋeyarū: Reciprocal Stabilizer Compilation for Recursive Self-Improvement

Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki

Read `MANUSCRIPT.txt` or the PDF for the complete argument. LaTeX sources are the precise source for equations. `CLAIMS.json` maps central results to proof sections, code and recorded evidence. This index is navigation, not independent scientific evidence.

Core distinction: acquired exact symmetry metadata changes subsequent operator acquisition even when the stored kernel values and witnesses remain fixed. The construction is a specialization of symmetry-aware memoized dynamic programming. It has a finite growth ceiling and tested negative regimes.

Useful reading order: `README.md`; `theory.tex`; `reference_core.py`; `protocol_lock.json`; `evidence.tex`; `paper_metrics.json`; original raw `results.json`; `comparison.tex`.

Use the complete JSON accounting when comparing efficiency. CSV `work` excludes method setup, and budget CSVs omit unattempted tasks after the first exhaustion. Do not interpret candidate-pair savings as total system speedups or independent oracle cost as free. Do not treat repeated per-method rows as distinct tasks.

The original research package remains byte-identical. The repository card and packaging add no experiments, broader capabilities, DOI, publication priority, review, or license grant. The source paper contains the primary-reference bibliography.