Replace the entire float-based encoding pipeline with exact arithmetic:
- _float_to_3bit (round(x*7)) -> sign-only quantization (G/T/C above/below uniform)
- compute_F (c/total float division) -> _compute_F_exact (Fraction(c, total))
- compute_tau (float weights) -> _compute_tau_exact (Fraction weights)
- New: p-adic valuations of raw character counts (primes 2,3,5)
- New: negative pi sequence (variable-name ordinals / pi)
Three techniques combined:
1. Asymmetric quantization: store signs in DNA (1 bit), keep magnitudes
on the equation side (exact Fraction). Inspired by mixedbread's
asymmetric quantization for retrieval.
2. P-adic valuations: partial logarithms of raw counts. Inspired by
Kritchevsky's 'Everything Is Logarithms' — ν_p is the coefficient
of log(p) in the prime factorization. Unique factorization = Sidon.
3. Negative pi sequence: sum of variable-name ordinals / pi, quantized
in both positive and negative directions. Breaks collisions between
equations identical at all structural levels but differing in
variable names.
Result: 20/20 injectivity (0 collisions) on the test suite.
Previous float encoder: 17/20 (3 collisions).
Schema bumped to phi_embedding_v3.
All downstream API fields preserved (F, tau, delta as float display values,
dna_sequence as the exact encoding, consistency_dna unchanged).
EDICT: floats are the last resort. There is always machinery to
approximate them with exact arithmetic. This commit implements
that principle for the encoder.
Updated RRC node status to Verified in graph.md and graph.json following
the completion of the multi-agent consensus review and verified test
units integration.
Build: 0 failures
- Pre-defined and unified character sets (OPERATOR_CHARS, BRACKET_CHARS, PUNCT_CHARS, WHITESPACE_CHARS).
- Defined precise sets for SYMMETRY_CHARS, PERIODICITY_CHARS, CONTINUITY_CHARS, and META_MATH_CHARS.
- Re-ordered specific checks to precede c.isalpha() so Unicode/Greek math letters are not misclassified as standard lower/upper alpha.
Build: 3307 jobs, 0 errors (lake build)
- Aligned layer naming and numbering (1 to 4) with the formal Lean specifications in SilverSight.
- Implemented phi.silversight to verify rule ordering, N=8 necessity, and Lean compilation status.
- Integrated SilverSight validation checks into equation_dna_encoder.py and rigour_pipeline.py.
Build: 3307 jobs, 0 errors (lake build)