AUTO DZ ACT – Scientific Algorithm for Epistemic Validation

AUTO DZ ACT is a deterministic, verification-first scientific algorithm designed to perform epistemic validation of scientific claims by directly comparing theoretical outputs to empirical or observational data under explicitly declared thresholds. The algorithm enforces formal falsifiability, strict data provenance, and version-locked reproducibility by classifying each evaluated claim into one of four explicit epistemic logic states: 0/0 — ConfirmedAgreement between theoretical output and empirical data within declared tolerance. D0/DZ — IndeterminateData exist but lack sufficient discriminative power to confirm or falsify the claim. DZ — ContradictedA significant discrepancy exists between the claim and available data under declared criteria. ∞/∞ — Not TestableThe claim cannot be evaluated due to absent, undefined, or non-comparable data. AUTO DZ ACT deliberately separates validation from interpretation. It does not propose physical models, fit parameters, or assign probabilistic confidence. Instead, it determines whether a claim is experimentally decidable, undecidable, contradicted, or currently untestable. This release formalizes AUTO DZ ACT as a standalone epistemic algorithm, independent of any specific physical theory. While historically developed in a particular research context, the algorithm itself is model-agnostic and applicable across domains including: Fundamental and theoretical physics Astronomy and planetary science Experimental and observational sciences Data-limited or frontier research contexts The absence of measurement is treated as a first-class scientific outcome, preventing speculative inference and retrospective reinterpretation. What Is New in v3.0 Canonical definition of AUTO DZ ACT as an epistemic validation algorithm (not a physical theory) Complete decoupling from any specific application or theoretical framework Clean version-authority policy (earlier DOIs archived for provenance only) Formalized logical-state semantics for cross-domain reuse Zenodo-ready structure for long-term citation stability Scope and Limitations AUTO DZ ACT: Does deterministically validate claims against data Does enforce reproducibility and auditability Does not infer physical causes Does not rank competing theories Does not replace physics, statistics, or experimentation Interpretation is intentionally deferred until discriminative measurements exist. License Creative Commons Attribution 4.0 International (CC BY 4.0) Keywords Epistemic validation Scientific verification Falsifiability Deterministic algorithms Experimental logic Reproducible science Data provenance AUTO DZ ACT Versioning & Citation Policy This release supersedes all previous AUTO DZ ACT versions Earlier DOIs remain archived for provenance only New scientific citations should reference this version Recommended Citation Omran, A. (2026). AUTO DZ ACT – Scientific Algorithm for Epistemic Validation (v3.0). Scientific Release Package Integration Statement What remains for this release is the integration of a scientific release package that guarantees AUTO DZ ACT satisfies the following non-negotiable criteria: Citable and AuditableThe release is fully versioned, DOI-minted, and immutable. All logical definitions, thresholds, and decision rules are explicitly documented, enabling independent verification, replication, and audit without reliance on author interpretation. Theoretically Neutral (Model-Agnostic)AUTO DZ ACT is defined independently of any physical, statistical, or phenomenological theory. It accepts theoretical outputs T from any model as inputs, without privileging or embedding assumptions from a specific framework. The algorithm evaluates only the epistemic relation between claims and data. Mathematically Explicit (Formalized)The verification logic is fully formalized through explicit mappings between theoretical outputs (T), empirical values (E), declared thresholds, and resulting epistemic states. All state transitions are deterministic and reproducible under identical inputs. Methodologically Consistent with the Theory–Experiment Scale-Ladder ProblemThe framework explicitly addresses the mismatch between theoretical abstraction levels and experimental or observational accessibility. Claims are classified according to measurability and discriminative power, preventing premature interpretation when data resolution, scale, or instrumentation is insufficient. The accompanying files included in this release provide the complete realization of this integration. Together, they define AUTO DZ ACT as a standalone epistemic validation algorithm, suitable for long-term citation, cross-domain application, and rigorous scientific governance. v3.0 introduces: A complete mathematical formal specification Explicit normalization and scale-ladder control Decidability predicates as first-class objects Deterministic state-assignment logic This moves AUTO DZ ACT from conceptual algorithm → formally specified method. That transition is conventionally treated as v3.0, not a patch. v3.0 explicitly declares AUTO DZ ACT as: • Theory-agnostic • Model-independent • Non-interpretative by design This breaks backward assumptions that AUTO DZ ACT is embedded in or favors any specific framework. Backward compatibility is preserved in results, but not in interpretive framing. Version v3.0 designates the first canonical, standalone, formally specified, and governance-complete release of AUTO DZ ACT, superseding earlier application-contextualized versions. v3.0 is not “bigger” than v2.2 — it is more fundamental. Using v2.3 or v2.5 would be methodologically incorrect and would weaken auditability, citation clarity, and long-term scientific legitimacy.