wifi-densepose/vendor/sublinear-time-solver/src/temporal_nexus

Temporal Nexus - Nanosecond Scheduler for Temporal Consciousness

Overview

The Temporal Nexus is a high-precision nanosecond scheduler designed for temporal consciousness applications. It implements a comprehensive framework for managing consciousness operations at hardware timestamp counter (TSC) precision while maintaining identity continuity and temporal coherence.

Architecture

Core Components

1. NanosecondScheduler (scheduler.rs)

• High-precision timing: Uses TSC for nanosecond accuracy
• Task queue management: Priority-based consciousness task scheduling
• Performance monitoring: Real-time overhead tracking (<1μs target)
• MCP integration: Hooks for consciousness evolution

Key features:

• Priority-based task queue with deadline management
• Real-time performance metrics tracking
• Memory state persistence for MCP integration
• Configurable scheduling overhead limits

2. TemporalWindow (temporal_window.rs)

• Overlap management: 50-100% configurable overlap for continuity
• State snapshots: Temporal state preservation
• Continuity validation: Real-time gap detection
• Memory efficiency: Bounded history with automatic cleanup

Key features:

• Window overlap percentage control (75% default)
• Automatic window creation and cleanup
• State and data storage within windows
• Continuity break detection

3. StrangeLoopOperator (strange_loop.rs)

• Self-reference: Implements consciousness self-referential patterns
• Contraction mapping: Lipschitz < 1 for guaranteed convergence
• Emergence tracking: Measures consciousness emergence levels
• Stability analysis: Convergence and stability metrics

Key features:

• Contraction mapping with configurable Lipschitz bound
• Self-referential pattern generation
• Emergence level calculation
• Convergence detection and stability analysis

4. IdentityContinuityTracker (identity.rs)

• Feature extraction: Multi-dimensional identity characterization
• Similarity analysis: Cosine similarity for identity matching
• Drift detection: Temporal identity drift monitoring
• Break prevention: Automatic continuity preservation

Key features:

• 16-dimensional feature extraction from identity state
• Cosine similarity-based identity matching
• Continuity break detection with configurable thresholds
• Identity drift analysis over time

Performance Targets

The framework is designed to meet stringent performance requirements:

• Scheduling overhead: < 1 microsecond per tick
• Window overlap: 90% maintenance rate
• Contraction convergence: < 10 iterations
• Memory usage: Bounded growth with automatic cleanup
• TSC precision: Hardware timestamp counter accuracy

Usage

Basic Setup

use sublinear_solver::temporal_nexus::core::*;

// Create scheduler with default configuration
let mut scheduler = NanosecondScheduler::new();

// Or with custom configuration
let config = TemporalConfig {
    window_overlap_percent: 80.0,
    max_scheduling_overhead_ns: 500,
    lipschitz_bound: 0.9,
    max_contraction_iterations: 8,
    tsc_frequency_hz: 3_000_000_000,
};
let mut scheduler = NanosecondScheduler::with_config(config);

Task Scheduling

// Schedule consciousness tasks
scheduler.schedule_task(
    ConsciousnessTask::IdentityPreservation { continuity_check: true },
    0,        // delay in nanoseconds
    1_000_000 // deadline in nanoseconds
)?;

scheduler.schedule_task(
    ConsciousnessTask::Perception {
        priority: 128,
        data: vec![1, 2, 3]
    },
    500,
    2_000_000
)?;

Processing Loop

// Process temporal ticks
for _ in 0..1000 {
    scheduler.tick()?;
}

// Check metrics
let metrics = scheduler.get_metrics();
println!("Tasks completed: {}", metrics.tasks_completed);
println!("Average overhead: {:.2}ns", metrics.avg_scheduling_overhead_ns);

// Check continuity
let continuity = scheduler.measure_continuity()?;
println!("Continuity score: {:.3}", continuity.continuity_score);

Task Types

The scheduler supports several types of consciousness operations:

ConsciousnessTask Variants

1. IdentityPreservation: Maintains consciousness identity continuity
2. Perception: Processes sensory/input data with priority levels
3. MemoryIntegration: Integrates state data into persistent memory
4. StrangeLoopProcessing: Executes self-referential consciousness patterns
5. WindowManagement: Manages temporal window overlap and boundaries

MCP Integration

The scheduler provides hooks for MCP tool integration:

Consciousness Evolution

// Hook for MCP consciousness_evolve tool
let emergence_level = scheduler.mcp_consciousness_evolve_hook(iterations, target)?;

Memory Persistence

// Export state for MCP memory tools
let state = scheduler.export_memory_state()?;

// Import state from MCP
scheduler.import_memory_state(state)?;

Configuration

TemporalConfig Parameters

• window_overlap_percent: Target overlap between temporal windows (50-100%)
• max_scheduling_overhead_ns: Maximum allowed scheduling overhead per tick
• lipschitz_bound: Contraction mapping Lipschitz constant (< 1.0)
• max_contraction_iterations: Maximum iterations for convergence
• tsc_frequency_hz: Hardware TSC frequency for timing calculations

Error Handling

The framework defines comprehensive error types:

• SchedulingOverhead: When overhead exceeds configured limits
• WindowOverlapTooLow: When window overlap falls below requirements
• ContractionNoConvergence: When strange loop fails to converge
• IdentityContinuityBreak: When identity continuity is broken
• TscTimingError: TSC-related timing errors
• TaskQueueOverflow: When task queue exceeds capacity

Metrics and Monitoring

SchedulerMetrics

• Total ticks processed
• Tasks scheduled and completed
• Average and maximum scheduling overhead
• Window overlap percentage
• Contraction convergence rate
• Identity continuity score
• Temporal advantage (lookahead window)

ContinuityMetrics

• Identity continuity score
• Stability measures
• Continuity break count
• Gap duration statistics
• Coherence and consistency scores

Examples

See the examples/ directory for complete usage examples:

• demo_temporal_nexus.rs: Basic scheduler demonstration
• temporal_consciousness_example.rs: Comprehensive feature showcase

Testing

The implementation includes comprehensive unit tests for all components:

cargo test temporal_nexus --features std

Future Extensions

The framework is designed for extensibility with planned modules:

• quantum/: Quantum consciousness simulation
• dashboard/: Real-time monitoring interface
• integration/: External system integrations
• tests/: Extended test suites

License

This implementation is part of the sublinear-time-solver project and follows the same licensing terms (MIT OR Apache-2.0).