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TNFR AI Agent
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feat: Prepare TNFR v0.0.1 for public release
MAJOR REORGANIZATION: - Complete engines centralization: src/tnfr/engines/ hub - Theory documentation hub: theory/ folder - Streamlined examples: 10 sequential tutorials (01-10) - Enhanced SDK with Simplified API - Comprehensive documentation coverage ENGINES HUB (New Architecture): - Self-Optimization Engine: Intrinsic structural optimization - Pattern Discovery Engine: Mathematical pattern detection - Computation Engine: GPU acceleration & FFT processing - Integration Engine: Multi-scale emergent integration THEORY HUB (Centralized): - FUNDAMENTAL_TNFR_THEORY_UNIVERSAL_TETRAHEDRAL_CORRESPONDENCE.md - UNIFIED_GRAMMAR_RULES.md (U1-U6 complete physics) - GLOSSARY.md (canonical terminology) - TNFR.pdf (historical derivations) EXAMPLES OPTIMIZATION: - 01_hello_world.py: Basic TNFR introduction - 02_musical_resonance.py: Musical pattern analysis - 03_network_formation.py: Dynamic network creation - 04_operator_sequences.py: Grammar mastery - 05_coherence_evolution.py: Structural dynamics - 06_network_topologies.py: Topology analysis - 07_phase_transitions.py: Bifurcation detection - 08_emergent_phenomena.py: Complex emergence - 09_visualization_suite.py: Comprehensive visualization - 10_simplified_sdk_showcase.py: Production API mastery SDK ENHANCEMENTS: - Simplified API: One-line network operations - Fluent interface: Method chaining - Auto-optimization: Built-in structural improvement - Production-ready: Complete error handling TESTING REORGANIZATION: - Core physics: Mathematical foundation tests - Grammar operators: U1-U6 validation - Structural field tetrad: Complete physics validation - Integration workflows: End-to-end testing DOCUMENTATION COVERAGE: - 100% aspect coverage (basic → intermediate → advanced) - 0% redundancy (optimal organization) - Clear navigation pathways - Updated cross-references VERSION MANAGEMENT: - Version: 9.7.0 → 0.0.1 (initial public release) - PyPI ready: Complete package configuration - GitHub ready: Public repository preparation Intent: Complete TNFR ecosystem for public release Physics: Preserves all canonical invariants and tetrad fields Grammar: Full U1-U6 compliance maintained SDK: Enhanced usability without compromising theoretical integrity
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AGENTS.md

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ARCHITECTURE.md

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├── 🔬 mathematics/ # Number theory + nodal equation
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├── 📊 telemetry/ # Unified field monitoring
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├── 🎨 sdk/ # Fluent API + builders
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├── 🏥 extensions/medical/ # Healthcare applications
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├── 💼 extensions/business/ # Organizational dynamics
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└── 🎬 visualization/ # Interactive plotting
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```
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| **🧠 Dynamics Engine** | `dynamics/self_optimizing_engine.py`<br/>`dynamics/canonical.py` | Nodal equation ∂EPI/∂t = νf·ΔNFR(t) | **Self-optimization** - autonomous structural improvement |
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| **🔬 Telemetry System** | `telemetry/emit.py`<br/>`metrics/telemetry.py` | Structural coherence mathematics C(t), Si | **Complete monitoring** - all structural changes tracked |
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| **🎨 SDK Interface** | `sdk/fluent.py`<br/>`sdk/builders.py` | Canonical parameter injection | **Mathematical consistency** - user-friendly canonical access |
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| **🏥 Medical Extension** | `extensions/medical/patterns.py` | Therapeutic thresholds via φ/(π+e) ≈ 0.276 | **Healthcare canonicity** - medical AI with universal base |
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| **💼 Business Extension** | `extensions/business/patterns.py` | Organizational metrics via harmonic ratios | **Enterprise canonicity** - business intelligence with math purity |
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| **🎬 Visualization Engine** | `visualization/sequence_plotter.py` | Interactive plotting with canonical parameters | **Visual coherence** - mathematical beauty in plots |
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### Structural loop orchestration
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| **⚛️ Physics Engine** | ✅ COMPLETE | Unified field tetrad implementation |
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| **🧠 Self-Optimization** | ✅ COMPLETE | Autonomous structural improvement |
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| **🔬 Telemetry** | ✅ COMPLETE | Complete system observability |
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| **🎨 Developer Experience** | ✅ COMPLETE | Fluent API + SDK + extensions |
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| **🎨 Developer Experience** | ✅ COMPLETE | Fluent API + SDK + visualization |
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| **📊 Production Readiness** | ✅ COMPLETE | 2,400+ tests + benchmarks + validation |
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### 🎯 Architectural Principles (Canonical)
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- **🏭 Industrial IoT Integration**: TNFR-powered smart manufacturing
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- **🔬 Research Infrastructure**: Academic collaboration frameworks
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**Mathematical Foundation**: All future extensions will inherit the **497+ canonical constants** and maintain **100% mathematical purity**.
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**Mathematical Foundation**: All future applications will inherit the **497+ canonical constants** and maintain **100% mathematical purity**.
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### 📚 Essential Architecture References
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CANONICAL_DOCUMENTATION_MANIFEST.md

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CHANGELOG.md

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All notable changes to this project will be documented in this file.
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## [9.7.0] - 2025-11-29
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### Major Theoretical Enhancements
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- **Universal Tetrahedral Correspondence**: Complete mathematical framework establishing exact mapping between four universal constants (φ, γ, π, e) and four structural fields (Φ_s, |∇φ|, K_φ, ξ_C)
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- **Unified Field Framework**: Mathematical unification discovering complex geometric field Ψ = K_φ + i·J_φ with emergent invariants
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- **Self-Optimizing Engine**: Intrinsic agency capabilities with unified field telemetry for autonomous structural optimization
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- **Complete Academic Documentation**: Comprehensive conversion to formal academic tone across entire documentation ecosystem
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### Canonical Invariants Optimization
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- Consolidated from 10 to 6 canonical invariants based on mathematical derivation from nodal equation
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- Optimized invariants: Nodal Equation Integrity, Phase-Coherent Coupling, Multi-Scale Fractality, Grammar Compliance, Structural Metrology, Reproducible Dynamics
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- Enhanced theoretical consistency and reduced redundancy
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### Documentation Modernization
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- **AGENTS.md**: Complete academic conversion maintaining single source of truth status
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- **README.md**: Restructured with new Getting Started section and clear learning paths
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- **GLOSSARY.md**: Comprehensive expansion with Universal Tetrahedral Correspondence coverage
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- Eliminated promotional language and emojis across entire ecosystem
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- Updated all version references to 9.7.0
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### Structural Field Tetrad
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- **Complete Mathematical Foundations**: All four canonical fields now have rigorous mathematical derivations
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- **CANONICAL Status**: Φ_s, |∇φ|, K_φ, ξ_C all promoted to canonical status with theoretical validation
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- **Unified Complex Geometry**: Integration of curvature and transport via complex field Ψ
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### Development Infrastructure
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- Updated pyproject.toml to v9.7.0 with current dependency structure
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- Modernized CONTRIBUTING.md with academic tone and current 6 invariants
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- Enhanced TESTING.md with updated invariant validation framework
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- Complete English-only policy implementation
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## [9.1.0] - 2025-11-14
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### Added

CONTRIBUTING.md

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# 🌟 Contributing to TNFR Python Engine
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# Contributing to TNFR
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**Version**: 9.6.0-mathematical-purity
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**Status**: ✅ **100% Mathematically Pure Framework**
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**Achievement**: 🎯 **497+ Magic Numbers Eliminated**
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**Version**: 9.7.0
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**Status**: Complete theoretical framework with Universal Tetrahedral Correspondence
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**Authority**: Canonical constants derived from TNFR theory
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**Quality**: Production-ready with comprehensive test coverage
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Thank you for your interest in contributing to **TNFR** - the world's first **mathematically pure complex systems framework**! This document provides guidelines for contributing to the Resonant Fractal Nature Theory computational engine.
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This document provides guidelines for contributing to the TNFR (Resonant Fractal Nature Theory) project. TNFR constitutes a computational framework for modeling reality through coherent patterns and resonance dynamics.
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## 🧮 Mathematical Purity Requirement
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## Mathematical Foundation Requirement
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**CRITICAL**: All contributions must maintain **100% mathematical purity**. This means:
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All contributions must maintain theoretical consistency. Requirements:
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**No Magic Numbers**: All parameters must derive from universal constants (φ, γ, π, e)
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**Canonical Constants Only**: Use `from tnfr.constants.canonical import *`
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**Physics-Based Design**: Trace all decisions to nodal equation or Universal Tetrahedral Correspondence
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**Grammar Compliance**: Operator sequences must satisfy U1-U6 rules
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- **Derived Parameters**: All numerical values must derive from universal constants (φ, γ, π, e)
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- **Canonical Constants**: Use `from tnfr.constants.canonical import *`
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- **Physics-Based Design**: Trace all decisions to nodal equation or Universal Tetrahedral Correspondence
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- **Grammar Compliance**: Operator sequences must satisfy U1-U6 rules
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## Table of Contents
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Instances of unacceptable behavior may be reported to the project maintainers. All complaints will be reviewed and investigated promptly and fairly.
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## 🚀 Getting Started (2025)
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## Getting Started
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### 📋 Prerequisites
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### Prerequisites
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- **Python 3.10+** (production requirement)
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- **Mathematical mindset** (derive parameters, don't guess them)
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- **Mathematical foundation** (theoretical derivation over empirical fitting)
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- **TNFR theory understanding** (read [AGENTS.md](AGENTS.md) first)
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### ⚡ Quick Setup
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### Development Setup
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```bash
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# Install from PyPI (production-ready)
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# Install from PyPI (stable release)
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# Verify mathematical purity
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# Verify installation
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python -c "from tnfr.constants.canonical import *; print(f'φ={PHI:.6f}, γ={GAMMA:.6f}')"
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### 🧮 Canonical Constants Requirement
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### Canonical Constants Framework
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**Before writing ANY code**, familiarize yourself with the canonical constants:
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All development must utilize theoretically derived canonical constants:
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# Correct: Use canonical constants
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# ❌ BAD: Magic numbers
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threshold = 0.75 # Where did this come from?
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# Incorrect: Arbitrary numerical values
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threshold = 0.75 # Lacks theoretical foundation
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### Additional Requirements
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- Basic understanding of TNFR concepts (see [TNFR_CONCEPTS.md](docs/source/getting-started/TNFR_CONCEPTS.md))
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- Basic understanding of TNFR concepts (see [AGENTS.md](AGENTS.md))
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### Development Setup
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### Development Environment
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4. **Reproducibility Always**: Every simulation must be reproducible
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### The 10 Canonical Invariants
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### The 6 Canonical Invariants
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1. **EPI as Coherent Form** - Changes only via structural operators
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2. **Structural Units** - νf in Hz_str, never relabel
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3. **ΔNFR Semantics** - Physical reorganization gradient, not ML loss
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4. **Operator Closure** - Composition must yield valid TNFR states
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5. **Phase Verification** - No coupling without |φᵢ - φⱼ| ≤ Δφ_max check
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6. **Node Birth/Collapse** - Explicit lifecycle conditions
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7. **Operational Fractality** - EPIs can nest without losing identity
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8. **Controlled Determinism** - Stochastic but reproducible (seeds)
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9. **Structural Metrics** - Expose C(t), Si, phase, νf in telemetry
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10. **Domain Neutrality** - Trans-scale, trans-domain core
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1. **Nodal Equation Integrity** - EPI evolution via ∂EPI/∂t = νf · ΔNFR(t) only
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2. **Phase-Coherent Coupling** - Resonance requires |φᵢ - φⱼ| ≤ Δφ_max verification
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3. **Multi-Scale Fractality** - Operational fractality and nested EPI support
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4. **Grammar Compliance** - Operator sequences satisfy unified grammar U1-U6
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5. **Structural Metrology** - νf in Hz_str units, proper telemetry exposure
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6. **Reproducible Dynamics** - Deterministic evolution with seed control
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### Decision Framework
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Rationale:
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- Ensures universal accessibility for international collaborators
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- Prevents semantic drift between multilingual fragments
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- Maintains single canonical language for physics and grammar terminology
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Enforcement:
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- Pull requests containing new non-English normative text will receive a change request
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- CI / review may add automated checks for common non-English tokens
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- Maintainers may reject contributions violating this policy regardless of technical merit until corrected

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