🌀 ChiR Labs

Mapping trust, resonance, and planetary intelligence.

Overview

We formalize the Codex’s operating premise: the lithosphere behaves as a georesonant archive where structure (faults, fabrics), state (pressure, saturation, temperature), and signal (acoustic/EM) together encode long‑cycle events. Cultural works (megaliths, channels, terraces) read and sometimes write into this archive by steering flows, phase transitions, and local resonance.

Objectives

Architecture of the Georesonant Archive

LayerInputs (examples)Role in MemoryLinked Modules
StructuralFault nets, joint fabrics, batholithsWrites/locks stress historyV3.4, V3.5, V4.10
HydrologicAquifers, paleo‑channels, phase reservoirsStores chemical/isotope “ink”V4.7–V4.9
KineticSpillways, hammers, siphonsLocal write/read operationsV4.11
ResonantQuartz Q, solar forcing windowsAmplifies/filters signalsV4.5, V4.10
TemporalOSL/IRSL, U–Th, tephra, varvesTime stamps and versioningV3.3, V4.8

Symbols are introduced once; see Notation Charter for full semantics.

Crustal Memory Model (CMM)

CMM blends component scores (scaled 0–1) into a node‑level Memory Integrity Index (MII):

ComponentSymbolPlain Term (ARIA)Default Weight
Structural continuityΣsstructural continuity0.22
Hydro memoryhydrologic memory0.22
Resonant quality𝒬resonant quality0.18
Kinetic imprint𝚱kinetic imprint0.18
Temporal anchoringΤtemporal anchoring0.20

MII = Σ wᵢ·Cᵢ, reported with uncertainty bands; weights vary ±0.1 in sensitivity sweeps.

Memory Mechanics

Evidence Patterns (V4 roll‑up)

Methods (Reproducible)

  1. Layer Ingest: DEM/DTM, LiDAR, hydro maps, mineral indices, paleo proxies, event catalogs.
  2. Normalization: scale components to [0,1], document transforms and priors.
  3. CMM Solve: compute MII per node/corridor; propagate uncertainty (bootstrap/Bayesian).
  4. Cross‑Checks: require coherence with V3.6–V3.7 timing windows and V4.5–V4.10 constraints.
  5. Blind‑Region Tests: train on Corridor A, test on B; publish both success and nulls.

CLI hooks: hydro_memory.py, submerged-vectors.py, bathymetric_inversion.py, quartz_ignition.py. See repo scripts/ and forthcoming READMEs.

Ethics & Stewardship (PSL)

Outputs

Validation & Reproducibility

Bridge to V5

With the archive mapped and scored, V5 elevates from detection to design: earth‑grid inversion, subterranean networks, and living geotechnical systems that co‑operate with the memory lattice instead of fighting it. V4.12 is the ledger; V5 authors the next entry—ethically, reversibly, and in concert with place.