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Appendix C. Dataset Cards & Pipeline Cards
I. Purpose & Coverage (Mandatory)
- Define the HighSpeed volume’s Dataset Card (v1.0) and Pipeline Card (v1.0) fields, templates, and checks, covering acquisition/simulation → alignment → S→Z mapping → phase/path correction → coherence-window KPI calculation → (optional) radiation evaluation → export/release.
- Unified arrival dialect (two equivalent forms; path/measure explicit; record delta_form):
- Constant-factored: T_arr = ( 1 / c_ref ) * ( ∫ n_eff d ell )
- General: T_arr = ( ∫ ( n_eff / c_ref ) d ell )
- SI units; hard release gates: check_dim = pass, Re{Z_eft} ≥ 0, KK_consistency = pass, two-dialect T_arr agreement, in-window KPIs meet gates; (if radiation enabled) Re{ΔZ_rad} ≥ 0.
II. Naming & Versioning
- dataset_id / pipeline_id: EDXHS-[topic]-[index] (e.g., EDXHS-001, EDXHS-PIPE-001).
- Versioning: semver (e.g., 1.0.0); each artifact & major input file carries a sha256.
- Time/tooling fingerprints: created_at (ISO 8601), toolchain, and env_lock.
III. Dataset Card (v1.0, HF field set)
Field | Req. | Type | Notes |
|---|---|---|---|
dataset_id | ✓ | str | Globally unique |
version | ✓ | str | semver |
source | ✓ | enum | measurement / simulation / 3D-EM |
instruments | ✓ | list | VNA/TDR/probes/calibration |
deemb | ✓ | obj | Method/version/artifact/baseline_id |
sync | ✓ | obj | Timebase alignment & dt_sync_s |
binding_ref | ✓ | str | layout ↔ gamma(ell) binding ID |
arrival | ✓ | obj | form/gamma/measure/c_ref/Tarr/u_Tarr/delta_form |
Znorm(omega) | ✓ | list/array | Port normalization (may be frequency dependent) |
S(omega) | ✓ | file/array | Multiport S-parameters |
mixed_mode | — | obj | T_mm/Z0_mm (if mixed-mode used) |
Z_eft/argZ | ✓ | obj/list | Tension-landscape impedance & phase |
Z_c(omega) | ✓ | list/array | Line/modal characteristic impedance |
HF_KPI | ✓ | obj | T_group_s / E_phase / GDR / ΔW |
dispersion | — | obj | alpha_per_m / beta_per_m |
radiation | — | obj | ΔZ_rad (Re≥0), Re_Zrad_min |
qa_gates | ✓ | obj | Results for check_dim/passivity/KK |
hashes/created_at/toolchain | ✓/—/— | obj | Integrity & traceability |
Minimal template (copy-ready)
dataset_card:
dataset_id: "EDXHS-001"
version: "1.0.0"
source: "measurement"
instruments:
- {type:"VNA", model:"—", cal:"2025-08-01", range:"10 MHz–40 GHz"}
deemb: {method:"TRL", version:"1.2", artifact:"/artifacts/deemb.json", baseline_id:"BLSN-EDX-001"}
sync: {ref:"10MHz", scheme:"shared_ref+trigger", dt_sync_s: 2.0e-12}
binding_ref: "LAY2PATH-HF-0001"
arrival:
form: "n_over_c" # or "one_over_c_times_n"
gamma: "explicit"
measure: "d_ell"
c_ref: 299792458.0
Tarr_s: 1.234e-09
u_Tarr_s: 6.0e-12
delta_form: "n_over_c"
Znorm_ohm: [50.0, 50.0]
sparams: "/artifacts/S.s2p"
mixed_mode:
enabled: true
T_mm: "/cfg/T_mm.yaml"
Z0_mm_ohm: [100.0, 25.0]
Z_eft: {real:[...], imag:[...]}
argZ: [ ... ]
Zc_ohm: [ ... ]
HF_KPI:
T_group_s: [ ... ]
E_phase_rad: 0.043
GDR_s: 1.8e-10
ΔW: 0.17
dispersion:
alpha_per_m: [ ... ] # optional
beta_per_m: [ ... ] # optional
radiation:
enabled: true
deltaZ_rad: {Re_ohm:[...], Im_ohm:[...]} # Re ≥ 0
Re_Zrad_min: 0.0
qa_gates: {check_dim:"pass", passivity:"pass", KK:"pass"}
hashes:
files:
- {path:"/artifacts/S.s2p", sha256:"..."}
- {path:"/artifacts/deemb.json", sha256:"..."}
created_at: "2025-09-16T10:00:00Z"
toolchain: {simstack_hf:"1.0.0", kernels:"0.9.3"}
IV. Pipeline Card (v1.0) & Env Lock (v1.0)
- Standard stages: ingest → align(I30-HF) → deembed/renorm → s2z(I40-HF) → sync_corr → path_correct → kpi_eval(Ω) → radiation_eval → export(cards).
- Env-lock: record OS/interpreter/dependencies/container digest & hardware; consistent units across stages; provide RNG seeds.
pipeline_card:
pipeline_id: "EDXHS-PIPE-001"
version: "1.0.0"
steps:
- {id:"ingest", cmd:"load_sparams --input /artifacts/S.s2p"}
- {id:"align", cmd:"map_ports --binding LAY2PATH-HF-0001"}
- {id:"deembed", cmd:"deembed --fixture /artifacts/deemb.json --baseline BLSN-EDX-001"}
- {id:"renorm", cmd:"renorm --znorm Znorm.yaml"}
- {id:"s2z", cmd:"map_S_to_Z --mode mixed --Tmm /cfg/T_mm.yaml"}
- {id:"sync_corr", cmd:"phase_corr --dt_sync_s 2.0e-12"}
- {id:"path_correct", cmd:"pathfix --binding LAY2PATH-HF-0001"}
- {id:"kpi_eval", cmd:"kpi --omega ω1,ω2 --gates gates.yaml"}
- {id:"rad_eval", cmd:"rad --enable --zref Z_base.npy"}
- {id:"export", cmd:"export_cards --out /release"}
env_lock:
os: {name:"Ubuntu", version:"22.04"}
interpreter: {name:"Python", version:"3.11.6"}
packages:
- {name:"numpy", version:"1.26.4", hash:"sha256:..."}
- {name:"scipy", version:"1.13.1", hash:"sha256:..."}
- {name:"pandas", version:"2.2.2", hash:"sha256:..."}
container: {image:"registry/edxhs:1.0.0", digest:"sha256:..."}
hardware: {cpu:"x86_64", gpu:"none", ram_GB:32}
seeds: {global: 20250916}
V. QA Gates & Consistency Checks (unified record)
qa_gates:
check_dim: "pass"
passivity: "pass" # min(Re{Z_eft}) ≥ 0
KK: "pass"
Tarr_dual:
diff_s: 3.0e-12 # |T_arr (two dialects) difference|
u_Tarr_s:6.0e-12
pass: true
VI. Audit Trail & Release Manifest (templates)
audit_manifest:
run_id: "RUN-2025-09-16-001"
toolchain: {simstack_hf:"1.0.0", kernels:"0.9.3"}
diffs: {params_changed:["Ks_tau"], reason:"tuning within prior"}
seeds: {global: 20250916}
qa:
check_dim: "pass"
passivity: "pass"
KK: "pass"
logs: "/logs/run_001.txt"
release_manifest:
normative_refs: ["EFT.WP.Core.DataSpec v1.0","Methods.Repro v1.0"]
artifacts:
- "/release/dataset_card.yaml"
- "/release/pipeline_card.yaml"
- "/release/env_lock.yaml"
- "/release/audit_manifest.yaml"
hashes:
dataset_card: "sha256:..."
pipeline_card: "sha256:..."
env_lock: "sha256:..."
audit: "sha256:..."
VII. Equivalence & Repro Metrics (thresholds & pseudocode)
equivalence_gates:
eps_Z_gate: 0.03
eps_phi_gate: 0.05 # rad
eps_Tg_gate: 0.10e-9 # s
eps_W_gate: 0.10
eps_Zc_gate: 2.0 # Ω
# 1) Two-dialect T_arr
T1 = (1/c_ref) * sum(n_eff[i]*Δell[i]) # n_over_c
T2 = sum((n_eff[i]/c_ref) * Δell[i]) # one_over_c_times_n
assert abs(T1 - T2) <= u_Tarr
# 2) KPIs & propagation consistency
phi = unwrap(argZ - ω*Δt_sync)
T_group = grad(phi, ω)
assert max_abs(T_group - L*grad(beta, ω)) <= u_Tg # if beta available
# 3) Hard quick gates
assert min(Re(Z_eft)) >= 0.0 and KK_consistency(Z_eft)
# 4) Equivalence
eps_Z = max_abs(Z_eft_rep - Z_eft_pub) / max_abs(Z_eft_pub)
eps_phi= max_abs(phi_rep - phi_pub)
eps_Tg = max_abs(Tg_rep - Tg_pub)
eps_W = max_over_ω(sum_abs(w_rep - w_pub))
eps_Zc = max_abs(Zc_rep - Zc_pub)
assert all([eps_Z<=ε_Z_gate, eps_phi<=ε_φ_gate, eps_Tg<=ε_Tg_gate, eps_W<=ε_W_gate, eps_Zc<=ε_Zc_gate])
VIII. Suggested Release Directory Layout
/release/
dataset_card.yaml
pipeline_card.yaml
env_lock.yaml
audit_manifest.yaml
qa_report.json
artifacts/
deemb.json
S.s2p
Z_eft.npy
aligned.parquet
IX. Error Codes (Unified Returns)
errors:
E_BAD_UNITS: "Unit or dimensional mismatch"
E_KK_FAIL: "K–K consistency failed"
E_PASSIVITY: "Passivity failed (Re{Z}<0)"
E_BINDING_MISSING: "Missing binding_ref or path segments"
E_DELTA_FORM_MISSING: "Arrival delta_form not recorded"
E_TARR_MISMATCH: "Two-dialect T_arr mismatch"
E_EQUIV_FAIL: "Equivalence thresholds not met"
E_ENVLOCK_FAIL: "Env-lock reconstruction failed or fingerprint mismatch"
E_QA_FAIL: "QA gate failed"
X. Compliance Bundle (one-shot, copy-ready)
dataset_card: { ... per §III template ... }
pipeline_card: { ... per §IV template ... }
env_lock: { ... per §IV template ... }
qa_gates: { ... per §V template ... }
audit_manifest: { ... per §VI template ... }
release_manifest:
normative_refs: ["EFT.WP.Core.DataSpec v1.0","Methods.Repro v1.0"]
artifacts: ["/release/dataset_card.yaml","/release/pipeline_card.yaml","/release/env_lock.yaml","/release/audit_manifest.yaml"]
hashes: {dataset_card:"sha256:...", pipeline_card:"sha256:...", env_lock:"sha256:...", audit:"sha256:..."}
equivalence_gates: {eps_Z_gate:0.03, eps_phi_gate:0.05, eps_Tg_gate:0.10e-9, eps_W_gate:0.10, eps_Zc_gate:2.0}
XI. Release Hard Gates (Summary)
check_dim = pass; Re{Z_eft} ≥ 0; KK_consistency = pass; two-dialect T_arr agreement; KPIs pass; (if enabled) Re{ΔZ_rad} ≥ 0; dataset_card/pipeline_card/env_lock/audit_manifest complete with sha256; equivalence thresholds ε_Z/ε_φ/ε_Tg/ε_W/(ε_Zc) satisfied.Copyright & License (CC BY 4.0)
Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.
First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/