AUTO DZ ACT — Definition-only Scientific Reference (v1.0.0)

# AUTO DZ ACT: Symbolic Validation Algorithm for Experimental Logic **Automated Detection of Zero-states and Anomalous Condition Transitions** Version: 1.0 Status: Authoritative, theory-neutral, definition-only Last updated: 2026-01-10 --- ## Abstract AUTO DZ ACT is an experimental scientific algorithm designed to perform epistemic state validation of observational claims through symbolic and logical comparison against declared theoretical baselines. This repository serves as the authoritative public reference for the algorithm definition. It is a definition-only repository that performs no execution, no data ingestion, and no scientific interpretation. The algorithm is theory-agnostic by design, providing a methodological framework for reproducible validation procedures. This designation is methodological and does not assert or imply any physical theory. --- ## 1. Definition **AUTO DZ ACT** **Automated Detection of Zero-states and Anomalous Condition Transitions** ### 1.1 Canonical Expansion - **AUTO** — Automated: procedure-driven, reproducible validation workflow- **DZ** — Detection of Zero-states: explicit labeling of insufficient or zero-evidence conditions- **ACT** — Anomalous Condition Transitions: tracked changes between epistemic states over time **Methodological disclaimer**: This designation is methodological and does not assert or imply any physical theory. ### 1.2 Core Objective The algorithm answers a single question: > *What is the epistemic status of a scientific claim, given available observations and declared comparison rules?* It does NOT answer:- whether a theory is "true"- whether a phenomenon "exists physically"- whether one model is "better" than another ### 1.3 Epistemic State Model AUTO DZ ACT classifies claims using an ordered triplet: S = (E, M, D) Where: - **E — Existence** Is there observational evidence corresponding to the claim? - **M — Measurability** Can the evidence be quantified using declared instruments or methods? - **D — Discriminative power** Does the evidence distinguish between competing hypotheses or models? This triplet defines the **epistemic state**, not physical reality. ### 1.4 Symbolic State Labels AUTO DZ ACT uses symbolic labels as **classification markers**, not equations: - (0/0): Undetermined — insufficient evidence- (D0/DZ): Transitional detection — marginal or emerging signal- (DZ): Determined — reproducible, measurable state- (∞/∞): Non-discriminative — evidence exists but cannot distinguish models These symbols carry **no physical meaning**. ### 1.5 Mathematical Logic (Scope) Any mathematical or symbolic logic used in AUTO DZ ACT: - is experimental and comparative- is methodological, not foundational- exists only to ensure reproducibility and transparency No new mathematics or physics is proposed. --- ## 2. Scope Boundaries ### 2.1 What AUTO DZ ACT IS - ✓ An authoritative definition of the AUTO DZ ACT algorithm- ✓ A documentation source for its epistemic validation methodology- ✓ A citation-ready scientific reference- ✓ A theory-neutral, methodological framework- ✓ A reproducible validation procedure- ✓ An algorithmic methodology- ✓ A validation framework- ✓ A symbolic classification system ### 2.2 What AUTO DZ ACT is NOT - ✗ Not a physical theory- ✗ Not a validator of any specific theory- ✗ Not an execution or monitoring platform- ✗ Not a data analysis system- ✗ Not a proof system or governance mechanism- ✗ Not an automated web service or API- ✗ Not a model of nature ### 2.3 Repository Role This repository defines AUTO DZ ACT only. It does NOT:- execute experiments- ingest or analyze data- validate or invalidate any physical theory- interpret experimental results- claim scientific authority over outcomes All execution-level uses occur outside this repository. ### 2.4 Explicit Exclusions This repository does NOT: - reference any named physical theory- compare theories against each other- publish experimental results- host datasets- run simulations or monitoring tasks ### 2.5 Theory-Neutral Enforcement AUTO DZ ACT treats all theories as:- external inputs- user-declared baselines- non-authoritative references No theory is embedded in the algorithm. ### 2.6 Neutrality Clause AUTO DZ ACT is independent of:- the origin of a theory- the author of a theory- the popularity or acceptance of a theory Any application of AUTO DZ ACT to a theory:- does not imply endorsement- does not imply validation- does not imply co-authorship Responsibility for interpretation lies entirely with the experimenter. ### 2.7 Misattribution Prevention AUTO DZ ACT must NOT be cited as:- evidence for a theory- proof of correctness- endorsement of any model Violation of this boundary constitutes misuse. --- ## 3. Governance and Immutability ### 3.1 Purpose Governance and branch protection requirements ensure the v1.0 definition remains locked and protected against accidental or hostile modification. ### 3.2 Branch Protection Ruleset **Repository administrators must configure the following branch protection ruleset:** #### Ruleset Configuration - **Ruleset name**: `main-definition-protection`- **Enforcement status**: Enabled- **Target branches**: `main` #### Required Rules The following rules must be enabled: 1. **Prevent force pushes** - Ensures commit history cannot be rewritten 2. **Prevent branch deletion** - Protects the main branch from accidental removal 3. **Require pull requests before merging** - All changes must go through PR review process 4. **Require at least one review** - Minimum one approval required (Copilot review allowed) #### Bypass List The following entities may bypass branch protection rules for administrative purposes: - **Repository admin**: `abdelkader-omran`- **GitHub Copilot**: For review purposes only (not for force push) ### 3.3 Rationale These protections serve to: - Lock the v1.0 definition as a stable reference- Prevent unauthorized modifications- Maintain scientific integrity- Ensure all changes are reviewed- Preserve commit history for traceability ### 3.4 Compliance Once implemented, this ruleset ensures that: - ✓ The main branch cannot be force-pushed- ✓ The main branch cannot be deleted- ✓ All changes require pull request review- ✓ At least one approval is required before merge- ✓ Authorized admins can override when necessary --- ## 4. Historical Provenance ### 4.1 Origin AUTO DZ ACT was developed as an independent experimental algorithm for epistemic validation of scientific claims. Its design goal was generality and neutrality. ### 4.2 Public Record Primary archival references are hosted on Zenodo and GitHub. ### 4.3 Key Principle Historical applications of AUTO DZ ACT do not define its scope. Only this repository defines the algorithm. --- ## 5. Publication and Citation Policy ### 5.1 Zenodo Archival Policy #### Repository Roles - **GitHub repository** (`trizel-ai/Auto-dz-act`): Living, authoritative definition source- **Zenodo deposits**: Intentional, versioned, archival snapshots for permanent citation #### Publication Policy - Zenodo releases are **curated and versioned**, not automatic- Each Zenodo deposit represents a stable, reviewed reference snapshot- GitHub remains the primary source for latest definitions and updates- All Zenodo deposits must reference this GitHub repository #### No Auto-Publication This repository does **not** automatically publish every GitHub change to Zenodo. Zenodo releases are intentional milestones only. ### 5.2 Digital Traceability Requirements #### Formal Request Channel All external use of AUTO DZ ACT requires:- **Formal written request** via documented email channel- **Explicit acknowledgment** of scope limitations- **Digital trace** of authorization and attribution requirements #### Attribution Requirements External use must:1. Cite the appropriate Zenodo DOI2. Reference this GitHub repository3. Clearly separate algorithm definition from experimental interpretation4. Acknowledge methodological (non-theoretical) status ### 5.3 Multilingual Availability and Public Reference Requirement #### Canonical Language Policy **English is the canonical reference language** for all AUTO DZ ACT documentation. All other languages (Arabic, French, etc.) are **faithful translations only**, not reinterpretations. #### Translation Constraints No translation may introduce:- New claims- New theoretical interpretations- Renamed concepts- Additional context beyond the original #### Conflict Resolution **In case of conflict between language versions, English prevails.** #### Reference Coupling **GitHub as canonical source** - **GitHub repository**: `trizel-ai/Auto-dz-act`- **Role**: Authoritative, version-controlled reference source- **Precedence**: GitHub takes precedence over all other publications The website https://trizel-ai.com/ must: 1. **Publish faithful representations** of GitHub documentation2. **Maintain version alignment** with GitHub commits3. **Never contradict** the GitHub definition4. **Never extend** beyond what GitHub states5. **Never reinterpret** the documented scope In case of discrepancy, **GitHub is authoritative.** #### Public Accessibility Mandate **Access requirements** - **All definition pages** must be publicly accessible- **No authentication** required to view documentation- **No paywalls** or registration barriers- **Direct linking** must be supported #### Scope Preservation in Translation Multilingual publication does NOT:- Alter the scope of AUTO DZ ACT- Introduce theory-specific context- Grant interpretative authority to translations- Create new definitions or explanations- Add cultural or contextual interpretations Translations are **representational only** and must: 1. **Preserve strict neutrality** — no theory names in any language2. **Maintain wording fidelity** — faithful to original meaning3. **Use equivalent neutral terms** — no introduction of