Datasets:
FSOT law audit — linguistics / translation path
Date: 2026-07-21
Archive master: I:\FSOT-Physical-Archive\02_FSOT-2.1-Lean-Full\vendor\fsot_compute.py
Product: Ada/SPARK pflt_main.exe + Python data factory
Authority pin
| Check | Result |
|---|---|
SHA-256 of archive fsot_compute.py |
d1d38a185487b452e470ac68ece2eb45aeb1ca9ce25fc9bf9564c19633ffbe70 |
| Prefix | D1D38A |
Ada PFLT_Authority.Expected_Digest |
matches full digest |
| Live pin in product | authority_ok / live_pin |
Formula (no free fit knobs)
[ S = K(T_1 + T_2 + T_3) ]
- Seeds: (\pi, e, \varphi, \gamma, G_{\mathrm{Catalan}})
- Layer-1/2 constants derived only from seeds (see archive §1–§3)
- No ad-hoc (\exp(-\eta)/m_{\mathrm{pl}}) damping found in scalar engine
Term structure (archive = Ada = PFLT Python)
| Term | Role |
|---|---|
| T1 | Observer-modulated base: (NP/\sqrt{D}), cos/exp/growth, (D)-scale, optional quirk if observed |
| T2 | Linear modulation: scale * amplitude + trend_bias |
| T3 | Valve × acoustic × phase |
| S | (K \times (T1+T2+T3)) |
Cross-verify (archive vs PFLT_FSOT_2_1_aligned.compute_S_D_chaotic)
| Domain inputs | Archive (S) | PFLT Python (S) | |diff| |
|---|---|---|---|
| Linguistic (D=12, obs) | 0.6513247618849 | 0.6513247618849 | 0 |
| Cosmological (D=25) | −0.5024559462100 | −0.5024559462100 | 0 |
| Historical (D=21, obs) | 0.6325783360136 | 0.6325783360136 | 0 |
Ada converse linguistic panel reports the same (S \approx 0.651324761884897).
How law touches linguistics (not ad-hoc)
| Layer | Uses law? | Notes |
|---|---|---|
| Form→gloss densify / train_mass | No free S | Lexical densify; students never rewrite law |
PFLT_Translate / morph peels |
Surface map | Gloss inventory only |
PFLT_Converse |
Yes | Every turn: domain route → Compute_Panel → print (S,T1,T2,T3) + pin D1D38A |
PFLT_Cert |
Yes | Blocks ungrounded numeric law claims |
| Domain atlas / anchors | Inputs to panel | (D_{\mathrm{eff}}) etc. from domain catalog, not fitted BLEU knobs |
| M6 sentence BLEU | Surface metric | Phrase table climb; not a replacement for (S=K(T1+T2+T3)) |
Ad-hoc scan result
| Location | Finding |
|---|---|
Archive compute_scalar |
Canonical; zero free params beyond seeds |
Ada PFLT_Scalar.Compute_Panel |
Structural match to archive |
Ada PFLT_Constants |
Frozen f64 seeds/derived constants |
Python compute_S_D_chaotic |
Bit-for-bit panel match on domain fixtures |
| M6 / densify / peels | Not alternate scalars; surface translation only |
Conclusion: Linguistics densifies knowledge under FSOT. Translation quality metrics do not redefine (K) or (T_i). Law remains master; students densify only.
Coverage snapshot (at audit)
See reports/gap_fill_verify.json / COMPETITOR_PUSH.md:
- 113 language codes solidified (n≥200 for former thin set)
- OPEN/PRODUCT form→gloss ~99.99%
- M6 sentence path: climbing offline (not neural parity)
- Unique: pin + classical/visual + offline densify