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## Related Repositories
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- **SYF
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https://github.com/AnathemaOfficial/SYF-Core
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- **SYF
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https://github.com/AnathemaOfficial/SYF-Lab
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##
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- **K** is provided by the caller; the canonical law does not define its value.
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- Inputs outside the allowed domain (**F ≥ 0**, **0 ≤ E ≤ 1**, **K > 0**) MUST be rejected (error/exception). No clamping.
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- Numerical tolerance, if any, is implementation-defined and must be documented by the implementation.
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- This repository is illustrative and non-production by design.
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This repository does **not** define, modify, or extend the SYF law.
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Any discrepancy with
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## Purpose
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- Demonstrate deterministic computation of
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- Provide
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## Law
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## Layout
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└── TEST_VECTORS.md
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```
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##
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Illustrative only. Non-canonical. Non-normative.
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---
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=======
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---
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license: mit
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---
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# SYF-Minimal
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Minimal, non-canonical reference implementation of the **Systemic Fire (SYF)** invariant.
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## Status
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- Non-canonical
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- Non-normative
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- Reference / verification only
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- **Not a machine learning model**
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- Not intended for deployment or inference
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## Purpose
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This repository exists solely to:
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- Demonstrate deterministic computation of **R = (F × E) / K**
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- Provide minimal reference code and test vectors
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- Enable blind analysis and external verification
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It does **not** define the law.
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## Canonical Reference
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The canonical definition of SYF lives here:
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https://github.com/AnathemaOfficial/SYF-Core
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## Experimental Context
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Observational and experimental frameworks:
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https://github.com/AnathemaOfficial/SYF-Lab
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No governance. No optimization. No feedback.
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>>>>>>> hf/main
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---
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license: mit
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tags:
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- syf
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- minimal
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- reference
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- deterministic
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- cryptography
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- invariant
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---
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# SYF‑Minimal
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Minimal, non‑canonical reference implementation of the Systemic Fire (SYF) invariant.
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## Related Repositories
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- **SYF‑Core — Canonical law (immutable)**
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https://github.com/AnathemaOfficial/SYF-Core
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- **SYF‑Lab — Experimental and observational framework**
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https://github.com/AnathemaOfficial/SYF-Lab
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## Status
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- Non‑canonical
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- Non‑normative
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- Reference / verification only
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- Not a machine learning model
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- Not intended for deployment or inference
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This repository does **not** define, modify, or extend the SYF law.
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Any discrepancy with SYF‑Core must be treated as an implementation error.
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## Purpose
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- Demonstrate deterministic computation of the invariant
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- Provide minimal reference code and test vectors
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- Enable blind analysis and external verification
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## Law
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\[
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R = \frac{F \times E}{K}
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\]
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### Constraints enforced by the reference implementations
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- \(F \ge 0\)
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- \(0 \le E \le 1\)
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- \(K > 0\)
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Inputs outside this domain **must be rejected** (error/exception).
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No clamping.
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Numerical tolerance, if any, is implementation‑defined.
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## Layout
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└── TEST_VECTORS.md
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```
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## Machine‑Facing Only
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This project is intended for machines, not humans.
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No governance. No optimization. No feedback.
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