SCPN-Fusion-Core publishes current evidence separately from blocked work. Every public claim carries an accepted/blocked row status, a reproducibility command, and a checksum — verified by tools/generate_claims_evidence_map.py --check.
SCPN-Fusion-Core is a control-algorithm development and validation framework with explicit fidelity boundaries, fast controller-support models, native research solver contracts, and fail-closed production-parity gates. It is not a replacement for TRANSP, JINTRAC, GENE, CGYRO, GS2, DREAM, Aurora/STRAHL, or EFIT. It is not IEC 61508 / SIL certified — the repository publishes an IEC 61508 functional-safety roadmap for selected control surfaces only.
Blocked surfaces are not marked full-order until public GENE/CGYRO/GS2, DREAM, and Aurora/STRAHL parity gates are met. Required public artefacts and thresholds are declared in validation/reference_data/full_fidelity_reference_cases.json.
Latency claims are reported under explicit names so reduced-order kernel timing is never confused with full hardware-in-the-loop integration.
| Symbol | Meaning |
|---|---|
| control.pid_kernel_step_us | Rust reduced-order PID kernel step (0.52 µs P50) |
| control.closed_loop_step_us | Controller loop with explicit surrogate / full-physics mode |
| control.hil_loop_us | Hardware-in-the-loop integration loop (simulated scaffold, not a physical rig) |
Follow the linked reports, commands, checksums, thresholds, and accepted/blocked row status. Start with validation/reports/full_fidelity_end_to_end_campaign.md and full_fidelity_acceptance_benchmark.md, then run tools/generate_claims_evidence_map.py --check to confirm the public claim-evidence map.