spt-crv

CRV (Coordinate Remote Viewing) protocol integration -- maps 6-stage signal line methodology to vector database subsystems

Overview

spt-crv maps the 6-stage Coordinate Remote Viewing signal line methodology to spt's vector database subsystems. Each CRV stage is encoded through a different mathematical representation: Poincare ball hyperbolic embeddings for gestalts, multi-head attention for sensory data, GNN graph topology for spatial sketches, SNN temporal encoding for emotional/intangible signals, differentiable search for interrogation, and MinCut partitioning for composite model construction.

Key Features

• Stage I (Ideograms) -- Poincare ball hyperbolic embeddings for gestalt primitives (manmade/natural/movement/energy/water/land)
• Stage II (Sensory) -- multi-head attention vectors for textures, colors, and temperatures
• Stage III (Dimensional) -- GNN graph topology for spatial sketches and relationships
• Stage IV (Emotional) -- SNN temporal encoding for AOL detection and intangibles
• Stage V (Interrogation) -- differentiable search for signal line probing
• Stage VI (3D Model) -- MinCut partitioning for composite model construction
• Cross-session convergence -- analyze agreement between independent sessions on the same target

Dependencies

Key internal dependencies:

• spt-attention -- multi-head attention vectors for Stage II sensory encoding
• spt-gnn -- graph neural network for Stage III spatial topology
• spt-mincut -- exact min-cut partitioning for Stage VI composite models

Usage

use spt_crv::{CrvConfig, CrvSessionManager, GestaltType, StageIData};

let config = CrvConfig::default(); // 384 dimensions
let mut manager = CrvSessionManager::new(config);
manager.create_session("session-001".into(), "1234-5678".into()).unwrap();

API Reference

Core Types

Type	Description
CrvSessionManager	Manages CRV sessions and cross-session convergence
CrvConfig	Configuration (dimension count, thresholds)
StageIEncoder	Poincare ball hyperbolic embedding encoder
StageIIEncoder	Multi-head attention vector encoder
StageIIIEncoder	GNN graph topology encoder
StageIVEncoder	SNN temporal encoding for AOL separation
StageVEngine	Differentiable search engine
StageVIModeler	MinCut partitioning modeler
GestaltType	Gestalt classification enum
ConvergenceResult	Cross-session convergence analysis result