syf-minimal – AI Model by syfcore | AlphaNeural AI

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syfcore/
syf-minimal

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SYF‑Minimal

Minimal, non‑canonical reference implementation of the Systemic Fire (SYF) invariant.

Related Repositories

SYF‑Core — Canonical law (immutable)
https://github.com/AnathemaOfficial/SYF-Core
SYF‑Lab — Experimental and observational framework
https://github.com/AnathemaOfficial/SYF-Lab

Status

Non‑canonical
Non‑normative
Reference / verification only
Not a machine learning model
Not intended for deployment or inference

This repository does not define, modify, or extend the SYF law.
Any discrepancy with SYF‑Core must be treated as an implementation error.

Purpose

Demonstrate deterministic computation of the invariant
Provide minimal reference code and test vectors
Enable blind analysis and external verification

Law

[ R = \frac{F \times E}{K} ]

Constraints enforced by the reference implementations

(F \ge 0)
(0 \le E \le 1)
(K > 0)

Inputs outside this domain must be rejected (error/exception).
No clamping.
Numerical tolerance, if any, is implementation‑defined.

Layout

syf-minimal/
├── README.md
├── python/
│   └── syf_core.py
├── rust/
│   └── lib.rs
├── notebook/
│   └── syf_demo.ipynb
├── HOW_TO_DERIVE_F_E.md
└── TEST_VECTORS.md

Machine‑Facing Only

This project is intended for machines, not humans.
No governance. No optimization. No feedback.