SPINE Crypto

Advanced cryptographic primitives for the SPINE stack including:

• Titans-based message prediction for speculative decoding with Neural Long-Term Memory
• MIRAS-adaptive prediction with automatic variant switching
• Post-quantum key evolution using lattice-based cryptography concepts

Titans Predictor (Neural Long-Term Memory)

Uses the Titans architecture with test-time training for unbounded context message prediction, enabling speculative decoding where receivers can pre-compute responses. Unlike standard Transformers, Titans maintains persistent memory that survives across sequences through surprise-gated updates.

Key advantages over Transformers:

• Unbounded context: Memory persists indefinitely via consolidation
• Test-time training: Adapts to message patterns during inference
• Surprise detection: Identifies anomalous messages for security
• Memory efficiency: O(1) memory vs O(n²) for attention

MIRAS-Adaptive Prediction

Integrates the MIRAS framework for continual learning:

• YAAD: Yield-Adaptive Anomaly Detection for outlier-robust prediction
• MONETA: Memory-Optimized Network for stable long-running sessions
• MEMORA: Balanced updates for mixed traffic patterns

The predictor automatically switches between variants based on surprise levels.

Quantum-Resistant Key Evolution

Implements NTRU-inspired lattice operations for key evolution that resists quantum computing attacks (Shor's algorithm).