# FSOT proper densify policy **Rule:** densify only with **your formula** against **real measured data**. ## Allowed | Method | `computed` | `measured` | |--------|------------|------------| | Seed closed formula | `evaluate_formula(formula, seed_ctx)` | literature / NIST / lab target | | Domain scalar route | `measured × (1 + \|S(D_eff)\| · f_domain)` | real anchor | | Engine closed form (CKM, m_H, α, …) | seed expression | PDG / survey value | ## Forbidden (false densify) - Seed identity pads (`φ = φ`, `θ = θ` as “records”) - Process gates as empirical depth (`process_gate`, “source present”) - Cross-domain **error copy** / `depth_relay_from` without recompute - Literature identity (`measured = computed = published`) as padding - Free parameters or residual gaming ## Code - Library: `scripts/fsot_proper_densify_lib.py` - Thin depth: `scripts/c_thin_depth_lib.py` (uses proper densify) - Remediation: `scripts/remediate_false_densify.py` - Green fix: `scripts/remediate_green_fail_panels.py` ```powershell python scripts/remediate_false_densify.py python scripts/audit_all_benchmark_margins.py ```