TSC (Triadic Self-Coherence)

TSC is a theory, a target model, and a verifier for triadic coherence.

It evaluates one system through three independent scores:

• α — pattern coherence
• β — relational coherence
• γ — process coherence

These aggregate into C_Σ.

Repo contents

• spec/ — canonical theory
• reference/python/ — current implementation
• examples/ — runnable examples
• tests/ — conformance and implementation tests
• project.tsc — live measurement config
• targets/ — named target declarations

What TSC measures

TSC asks one question:

Do three independent descriptions of the same system still describe one system?

Quick start

Install:

python3 -m pip install --upgrade pip
pip install -e ".[dev]"

Run an example:

tsc examples/cellular-automata/glider.md --format text

Run tests:

make test

Measure the repo with the current orchestrator:

make self-coherence

Theory stack

Start with:

1. spec/c-equiv.md
2. spec/tsc-core.md
3. spec/tsc-oper.md
4. spec/tsc-observation-dynamics.md
5. spec/tsc-glossary.md

Targets

TSC uses explicit targets. Current target surfaces are:

• spec
• engine
• repo

Read:

• targets/README.md for the target model
• ARCHITECTURE.md for how theory, targets, and verifier fit together

Implementation

The current executable path is reference/python/.

Contributing

Useful contributions fall into four areas:

1. theory
2. targets
3. verifier
4. tests

Keep them aligned.

License

CC-BY-4.0

Citation

@software{tsc2025,
  title   = {TSC: Triadic Self-Coherence Framework},
  author  = {Peter Lisovin},
  year    = {2025},
  version = {v3.1.0},
  url     = {https://github.com/usurobor/tsc}
}

Contact

• Issues: GitHub Issues
• Email: usurobor@gmail.com