# Ternlang Standard Library (StdLib)
Welcome to the official standard library for the Ternary Intelligence Stack (TIS).

**This public repo contains 28,500+ open-core `.tern` modules** across the domains listed below.
The 'Masterwork' premium library (2,500+ precious algorithms across `nn::*`, `nlp::*`, `vision::*`, `qnn::*`, `hft::*`, and more) is in the private `ternlang-premium` repo — see [PREMIUM.md](PREMIUM.md) for access.

## Repository Overview
- **Science**: Quantum, Thermal, Kinetic, Fluidic, Optical, Acoustic, Magnetic, Nuclear, Plasma, Stellar.
- **Econ**: Financial models, risk metrics, market simulations.
- **Control**: Real-time control systems, robotics, sensor fusion.
- **Causal**: Causal inference engines, directed acyclic graphs.
- **Security**: Post-quantum cryptography, zero-trust network protocols.
- **Optimization**: Sparse matrix kernels, gradient-based ternary optimizers.
- **Research**: Theory notes, advanced ML architectures.
- **Showcase**: Demonstration-ready flagship systems.

## Getting Started
Every module concept in the stdlib follows the **File Family Standard (FFS-v1.0)**:
- `module.tern`: Core implementation.
- `module_safe.tern`: Safety-hardened variant.
- `module_sparse.tern`: High-efficiency sparse kernel.
- `module_quantized.tern`: Low-precision optimization.
- `module_distributed.tern`: Multi-node cluster logic.
- `module.test.tern`: Unit test suite.
- `module.bench.tern`: Performance benchmarks.
- `module.pipeline.tern`: Stream-processing agent.
- `module.schema.tern`: T-SON serialization schema.
- `module_tutorial.tern`: Educational walkthrough.
- `module.example.tern`: Production-grade usage example.

## Research & Theory
See [stdlib/research/theory/](./research/theory/) for foundational papers on:
- [Tend Semantics](./research/theory/tend_semantics.md)
- [Uncertainty Propagation](./research/theory/uncertainty_propagation.md)
- [Ternary Transformer Theory](./research/theory/ternary_transformer_theory.md)
- [Balanced Ternary ML](./research/theory/balanced_ternary_ml.md)

## Showcase Systems
Visit [stdlib/showcase/](./showcase/) for demonstration systems including:
- **TNN Optimizer**: A high-precision neural network trainer.
- **Uncertain Robotics Controller**: Real-time sensor fusion with `tend` semantics.
- **Balanced Ternary Distributed Consensus**: Efficient multi-agent agreement.

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