Density now measured by information-theoretic bounds, not just counts:
Shannon entropy H = -Σ p(x) log₂ p(x) over equation symbol distribution
- Higher H = more informational diversity = denser content
- RG flow bound: H < ln(2⁸) ≈ 2.08 for 8-strand representation
Landauer cost E = N·kT·ln(2) where N = distinct math tokens
- Each distinct symbol requires erasing energy
- kT = 0.025 eV at 290K → ~0.017 eV per bit
Density levels:
THERMODYNAMIC_SATURATION: both Shannon + Landauer exceed bounds
SHANNON_SATURATED: entropy > rgflow fixed-point
LANDAUER_EXPENSIVE: energy cost too high
COUNT_EXCEEDED: simple count threshold
rust/src/bin/ingest.rs:
- Parses $\LaTeX$ equations from .md files (block 602556 and inline $)
- Classifies as spectral/braid/cartan/unknown via keyword detection
- Density check: pauses at >20 equations or >5 unknowns
- Computes spectral fingerprint (σ, τ, ∆, λ_min, λ_max) via character transform
- Emits receipt.json with full results
- Writes .decision.md for user review when too dense
Rust CLI, zero-float spectral computation, serde JSON output.
Cargo.toml: added regex + serde dependencies.
