Crate ruvector_crv 

ruvector-crv

CRV (Coordinate Remote Viewing) protocol integration for ruvector.

Maps the 6-stage CRV signal line methodology to ruvector’s subsystems:

CRV Stage	Data Type	ruvector Component
Stage I (Ideograms)	Gestalt primitives	Poincaré ball hyperbolic embeddings
Stage II (Sensory)	Textures, colors, temps	Multi-head attention vectors
Stage III (Dimensional)	Spatial sketches	GNN graph topology
Stage IV (Emotional)	AOL, intangibles	SNN temporal encoding
Stage V (Interrogation)	Signal line probing	Differentiable search
Stage VI (3D Model)	Composite model	MinCut partitioning

Quick Start

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

// Create session manager with default config (384 dimensions)
let config = CrvConfig::default();
let mut manager = CrvSessionManager::new(config);

// Create a session for a target coordinate
manager.create_session("session-001".to_string(), "1234-5678".to_string()).unwrap();

// Add Stage I ideogram data
let stage_i = StageIData {
    stroke: vec![(0.0, 0.0), (1.0, 0.5), (2.0, 1.0), (3.0, 0.5)],
    spontaneous_descriptor: "angular rising".to_string(),
    classification: GestaltType::Manmade,
    confidence: 0.85,
};

let embedding = manager.add_stage_i("session-001", &stage_i).unwrap();
assert_eq!(embedding.len(), 384);

Architecture

The Poincaré ball embedding for Stage I gestalts encodes the hierarchical gestalt taxonomy (root → manmade/natural/movement/energy/water/land) with exponentially less distortion than Euclidean space.

For AOL (Analytical Overlay) separation, the spiking neural network temporal encoding models signal-vs-noise discrimination: high-frequency spike bursts correlate with AOL contamination, while sustained low-frequency patterns indicate clean signal line data.

MinCut partitioning in Stage VI identifies natural cluster boundaries in the accumulated session graph, separating distinct target aspects.

Cross-Session Convergence

Multiple sessions targeting the same coordinate can be analyzed for convergence — agreement between independent viewers strengthens the signal validity:

// After adding data to multiple sessions for "1234-5678"...
let convergence = manager.find_convergence("1234-5678", 0.75).unwrap();
// convergence.scores contains similarity values for converging entries

Re-exports

pub use error::CrvError;

pub use error::CrvResult;

pub use session::CrvSessionManager;

pub use stage_i::StageIEncoder;

pub use stage_ii::StageIIEncoder;

pub use stage_iii::StageIIIEncoder;

pub use stage_iv::StageIVEncoder;

pub use stage_v::StageVEngine;

pub use stage_vi::StageVIModeler;

pub use types::AOLDetection;

pub use types::ConvergenceResult;

pub use types::CrossReference;

pub use types::CrvConfig;

pub use types::CrvSessionEntry;

pub use types::GeometricKind;

pub use types::GestaltType;

pub use types::SensoryModality;

pub use types::SignalLineProbe;

pub use types::SketchElement;

pub use types::SpatialRelationType;

pub use types::SpatialRelationship;

pub use types::StageIData;

pub use types::StageIIData;

pub use types::StageIIIData;

pub use types::StageIVData;

pub use types::StageVData;

pub use types::StageVIData;

pub use types::TargetPartition;

Modules

error

Error types for the CRV protocol integration.

session

CRV Session Manager

stage_i

Stage I Encoder: Ideogram Gestalts via Poincaré Ball Embeddings

stage_ii

Stage II Encoder: Sensory Data via Multi-Head Attention Vectors

stage_iii

Stage III Encoder: Dimensional Data via GNN Graph Topology

stage_iv

Stage IV Encoder: Emotional/AOL Data via SNN Temporal Encoding

stage_v

Stage V: Interrogation via Differentiable Search with Soft Attention

stage_vi

Stage VI: Composite Modeling via MinCut Partitioning

types

Core types for the CRV (Coordinate Remote Viewing) protocol.

Constants

VERSION

Library version.