Datasets:
Ada ↔ FSOT Physical Archive + sensory + gap-fill (V6)
Archive master: I:\FSOT-Physical-Archive
Product binary: pflt-Ada/bin/pflt_main.exe (Ada-primary V6)
Gaps filled (this pass)
| Gap | Implementation | CLI |
|---|---|---|
| 1. Full domain atlas (~400) | domain_atlas.tsv (410 rows from catalog) + PFLT_Atlas keyword match → D_eff panel |
atlas "quantum photon" |
| 2. Live SHA256 pin | Pure Ada PFLT_SHA256 hashes archive fsot_compute.py vs D1D38A… |
archive → live_hash_ok=TRUE |
| 3. U-Net hypothesis slot | Load TSV hyp file → Gardiner teacher (store/Unikemet); image path metadata | vision unet / vision hyp PATH [image] |
| 4. SR-ITE LTM / mulling | Append-only ltm_mulling.jsonl; recall + densify mull notes |
ltm recall KEY · auto on converse |
| 5. Certified math | Law panel + refuse vibes S= | cert "fsot scalar" |
| 6. Linguistics anchors | 60 archive derivations in TSV; zipf/entropy/… | cert "zipf entropy" · wired into converse |
Archive binding (verified live)
live_hash_ok=TRUE
live_sha256=D1D38A185487B452E470AC68ECE2EB45AEB1CA9CE25FC9BF9564C19633FFBE70
expected_sha256=D1D38A185487B452E470AC68ECE2EB45AEB1CA9CE25FC9BF9564C19633FFBE70
note=LIVE pin OK: archive fsot_compute.py SHA256 = D1D38A
Formula still S=K*(T1+T2+T3); golden linguistic S≈0.651324761885.
Data export
cd C:\Users\damia\Desktop\pflt\pflt-Ada
python export_atlas_for_ada.py # domain_atlas + anchors + unet sample hyp
python export_data_for_ada.py # densify/gold/train_mass
alr build
CLI map
.\bin\pflt_main.exe archive
.\bin\pflt_main.exe atlas "astronomy quantum linguistics"
.\bin\pflt_main.exe cert "what is zipf entropy and fsot scalar"
.\bin\pflt_main.exe vision unet
.\bin\pflt_main.exe vision A1 N5 S34
.\bin\pflt_main.exe audio aqua la
.\bin\pflt_main.exe converse "what is zipf and aqua lingua"
.\bin\pflt_main.exe ltm recall aqua
.\bin\pflt_main.exe status
.\bin\pflt_main.exe eval
Architecture (students vs law)
I:\FSOT-Physical-Archive (constitution)
vendor/fsot_compute.py --LIVE SHA256 D1D38A--> Ada kernel pin
linguistics_derivations --> anchors.tsv --> cert gate
domain catalog 402 --> domain_atlas.tsv --> atlas route
Sensory students (never rewrite law):
vision: multilayer field | Gardiner labels | U-Net hyp TSV
audio: IPA + articulatory + S→tempo/energy
morph: reverse peels + train_mass
Product surface:
converse = translate + atlas + pathway + teach + cert + LTM + ledger
Still later (honest residual)
- Real raster image decode + trained U-Net weights (hyp TSV contract is ready)
- Full Lean bridge process spawn on every numeric claim (Ada cert uses golden panel + anchors)
- SR-ITE continuous stream driver (Zig/photonic) — LTM file is the portable subset
- 402 domains fully drive pathway enum (today: atlas string match + core Domain_Id enum)
One-line
V6 closes the archive/sensory/cert gaps: live D1D38A, 410-domain atlas, anchors+cert, U-Net hyp load, LTM mulling — all under Ada product binary.