Grand Archives · Experimental Systems · Ontological Codex · Text Converter

Text → SHD-CCP Codex Converter

Input text

Token feature source

tokens / vocab
TEXT recovery (keys)
packet parity integrity
single-packet FP8 err
Form 0-2 lossy chain
Form 3 corrected chain
codex dial outer / middle
storage keys + geometry

Recovered text (from keys — exact)

Node inspector — click a node in 3D · node 0

click a node
scalerfreqspin formampparity WXYZ

Packing capacity — spheres on the toroid

toroid R, r
surface area 4π²Rr
hex packing capacity
our layout / headroom
3-D kissing number12 — not the limit
Seats-per-toroid (72) is a gear ratio; the real capacity limit is hexagonal surface packing (density π/√12 ≈ 0.9069), N ≈ 4π²Rr / (2√3 ρ²)not the 3-D kissing number (12, which counts spheres touching one central sphere). Raise ρ to grow the node spheres toward that limit.
Two channels, both recovered: text from the key stream (token ids — exact, independent of precision); the geometric chain from the quaternion deltas. The default lossy packet (Form 0-2) decays over the chain; Form 3's corrective offset reconstructs it losslessly. TTMPT crystallization is avalanche-like, so the deltas are high-entropy — the outer scale is lossless, middle/inner are SLERP-approximate. Hashing doesn't create compressibility; the keys keep the text exact regardless.
▸ text_to_codex.py (verified reference)
▸ Ontological Codex (the 720→72→10 offload)
This 3-D view needs WebGL + the Three.js CDN.
The conversion, telemetry, and packet inspector still compute every number in-page.
token quaternion chain on the toroid
drag to rotate · scroll to zoom