HomeDocs-Technical WhitePaper37-EFT.WP.EDX.HighSpeed v1.0

Appendix C. Dataset Cards & Pipeline Cards


I. Purpose & Coverage (Mandatory)

  1. 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.
  2. 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 )
  3. 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


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)

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/