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Chapter 1 — Definition and Scope of the Synthetic Data Domain


One-line objective: Delimit the objects, inputs/outputs, constraints, and boundaries of synthetic data within the EFT framework, establishing a minimal loop that is traceable, auditable, and reproducible.


I. Scope & Objects

  1. Input artifacts
    • D_real (real data validated against schema & contracts; see Methods.Cleaning v1.0).
    • SRef (standard schema/field lexicon/primary–foreign keys/units & dimensions).
    • Constraint set Rules (uniqueness, referential integrity, physical/geometry/energy conservation, time/path consistency).
    • Target distribution & utility Goals = {fidelity, utility}.
    • Privacy budget & policy Privacy = {eps, delta, budget, accounting}.
    • Runtime constraints Runtime = {SLO, cap, chan, retry} (see EFT.WP.Core.Threads v1.0).
  2. Output artifacts
    • D_syn (single-modal synthetic data) or Bundle = {Tab, TS, Image, Text, Audio, Graph} (multimodal).
    • Evaluation reports {report.fidelity, report.privacy, report.contracts}.
    • Publication manifest manifest.synth with signature.
  3. Applicable modalities
    Tabular, time series & event streams, graphs, imaging, and multimodal compositions; both offline batch generation and on-demand streaming.
  4. Boundaries & non-goals
    • No adjudication of legal texts; provide compliance interfaces and evidentiary logging only.
    • No prescription of specific training tricks or engineering minutiae; external interfaces unified as I40-*.

II. Terms & Variables


*III. Axioms P401- **


*IV. Minimal Equations S401- **


V. Synthesis Flow M40-1 (End-to-End)

  1. Readiness
    • register_schema(SRef); validate_dataset(D_real, Rules); pass repair_units and check_dim.
    • Fix Goals, Privacy, Runtime, and a first draft of SynthSpec.
  2. Design & Modeling
    • Choose engine engine ∈ {copula, VAE, GAN, flow, diffusion, SCM}; set priors/regularizers and controls c.
    • If physical/geometry constraints apply, build SCM or scene graph G=(V,E).
  3. Training & Calibration
    fit_engine(D_real, SynthSpec); track convergence & early stopping; lock theta_ref and version.
  4. Sampling & Assembly
    sample(engine, n, condition=c, seed); for multimodal, compose_multimodal to assemble Bundle.
  5. Rule Execution
    enforce_constraints(D_syn, Rules); deduplicate/foreign_key/unique; align_timepath and write both T_arr forms and delta_form.
  6. Evaluation & Thresholds
    • measure_fidelity(D_real, D_syn, metrics={W1,MMD,FID,KID,covg});
    • measure_privacy(D_real, D_syn, attacks, eps_delta);
    • Produce uncertainty & coverage, compute n_eff.
  7. Contracts & Release
    assert_synth_contract(contracts); if pass, run freeze_release_synth(D_syn, tag) and sign; otherwise rollback(tag_prev).

VI. Contracts & Assertions (Examples C40-*)


VII. Implementation Bindings I40- (Chapter Anchors)*


VIII. Cross-References


IX. Quality Metrics & Risk Control


Summary

, together with the contract gates and implementation anchors required for publication. Subsequent chapters will deepen engines, controllability, privacy, and evaluation while maintaining shared conventions with Cleaning, Imaging, and CrossStats.SynthDataThis chapter establishes the objects, terminology, non-negotiable axioms, necessary equations, and the end-to-end flow M40-1 for

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/