Create retro causal linguistic module

retro causal linguistic module

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+QUANTUM LINGUISTIC TRUTH RESONANCE ENGINE
+Advanced Multilinguistic Truth Binding with Retrocausal Validation
+Integration of All Enhancement Suggestions
+"""
+
+import numpy as np
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Dict, List, Any, Optional, Tuple
+import hashlib
+import re
+from collections import Counter
+import asyncio
+import quantum
+from cryptography.hazmat.primitives import hashes
+from cryptography.hazmat.primitives.kdf.hkdf import HKDF
+from cryptography.hazmat.backends import default_backend
+import scipy.stats as stats
+from datetime import datetime
+import json
+
+class LanguageEra(Enum):
+    """Comprehensive language eras including proto-human and indigenous systems"""
+    PROTO_HUMAN_GESTURAL = "proto_human_gestural"  # Pre-linguistic symbolic communication
+    PROTO_HUMAN_VOCAL = "proto_human_vocal"       # Pre-writing vocal patterns
+    SUMERIAN = "sumerian"                         # ~3500 BCE
+    EGYPTIAN_HIEROGLYPHIC = "egyptian"            # ~3200 BCE
+    ELAMITE = "elamite"                           # ~3000 BCE
+    AKKADIAN = "akkadian"                         # ~2500 BCE
+    EBLAITE = "eblaite"                           # ~2400 BCE
+    HITTITE = "hittite"                           # ~1600 BCE
+    MYCENAEAN_GREEK = "mycenaean_greek"           # ~1450 BCE
+    UGARITIC = "ugaritic"                         # ~1400 BCE
+    PHOENICIAN = "phoenician"                     # ~1200 BCE
+    ANCIENT_CHINESE = "ancient_chinese"           # ~1200 BCE
+    SANSKRIT = "sanskrit"                         # ~1000 BCE
+    MAYAN = "mayan"                               # ~1000 BCE
+    OLMEC = "olmec"                               # ~1200 BCE
+    HEBREW = "hebrew"                             # ~1000 BCE
+    ARAMAIC = "aramaic"                           # ~900 BCE
+    LATIN = "latin"                               # ~700 BCE
+    ANCIENT_GREEK = "ancient_greek"               # ~700 BCE
+    NAVAHO = "navaho"                             # ~1400 CE (continuous tradition)
+    ABORIGINAL = "aboriginal"                     # ~50,000 BCE (continuous)
+
+class LinguisticTruthMarker(Enum):
+    """Enhanced truth marker taxonomy"""
+    COSMOLOGICAL_ALIGNMENT = "cosmological_alignment"
+    SACRED_GEOMETRY = "sacred_geometry"
+    NUMEROLOGICAL_ENCODING = "numerological_encoding"
+    PHONETIC_RESONANCE = "phonetic_resonance"
+    SYMBOLIC_CORRESPONDENCE = "symbolic_correspondence"
+    TEMPORAL_CYCLES = "temporal_cycles"
+    RETROCAUSAL_ECHO = "retrocausal_echo"
+    CONSCIOUSNESS_RESONANCE = "consciousness_resonance"
+    QUANTUM_ENTANGLEMENT = "quantum_entanglement"
+    MORPHIC_RESONANCE = "morphic_resonance"
+
+class TruthConsensusLevel(Enum):
+    """Levels of cross-linguistic truth consensus"""
+    SINGLE_SOURCE = "single_source"
+    REGIONAL_CONSENSUS = "regional_consensus"
+    HEMISPHERIC_CONSENSUS = "hemispheric_consensus"
+    GLOBAL_CONSENSUS = "global_consensus"
+    TEMPORAL_CONSENSUS = "temporal_consensus"  # Across time periods
+    UNIVERSAL_CONSENSUS = "universal_consensus"
+
+@dataclass
+class CryptographicTruthSignature:
+    """Cryptographic signature for truth patterns across language families"""
+    truth_hash: str
+    cross_linguistic_proof: str
+    temporal_validation_hash: str
+    quantum_entanglement_signature: str
+    retrocausal_verification: str
+    consensus_proof: str
+
+@dataclass
+class AncientLanguage:
+    """Enhanced ancient language data structure with quantum properties"""
+    era: LanguageEra
+    time_period: Tuple[int, int]
+    writing_system: str
+    sample_script: List[str] = field(default_factory=list)
+    truth_markers: List[LinguisticTruthMarker] = field(default_factory=list)
+    modern_equivalents: Dict[str, str] = field(default_factory=dict)
+    resonance_frequency: float = 0.0
+    quantum_coherence: float = 0.0
+    retrocausal_potential: float = 0.0
+    consciousness_coupling: float = 0.0
+    morphic_field_strength: float = 0.0
+    
+    def __post_init__(self):
+        """Calculate advanced resonance properties"""
+        age = abs(self.time_period[0])
+        complexity = len(self.sample_script) / 10
+        marker_strength = len(self.truth_markers) * 0.1
+        
+        # Base resonance with quantum enhancement
+        self.resonance_frequency = min(0.98, 0.3 + (age / 10000) + complexity + marker_strength)
+        
+        # Quantum coherence based on symbolic complexity
+        self.quantum_coherence = min(0.95, 0.2 + (len(self.sample_script) * 0.05) + (age / 20000))
+        
+        # Retrocausal potential (older = more potential)
+        self.retrocausal_potential = min(0.9, age / 15000)
+        
+        # Consciousness coupling (based on truth marker types)
+        consciousness_markers = {LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE, 
+                               LinguisticTruthMarker.QUANTUM_ENTANGLEMENT}
+        self.consciousness_coupling = len(consciousness_markers.intersection(self.truth_markers)) * 0.3
+        
+        # Morphic field strength (collective recognition)
+        self.morphic_field_strength = min(0.85, 0.1 + (age / 25000) + (len(self.modern_equivalents) * 0.1))
+
+@dataclass
+class LinguisticTruthMatch:
+    """Enhanced truth match with quantum and cryptographic properties"""
+    language: AncientLanguage
+    matched_patterns: List[str]
+    confidence: float
+    truth_markers_detected: List[LinguisticTruthMarker]
+    cross_linguistic_correlations: List[str]
+    temporal_coherence: float
+    symbolic_resonance: float
+    quantum_entanglement_score: float
+    retrocausal_influence: float
+    consciousness_alignment: float
+    cryptographic_signature: CryptographicTruthSignature
+    consensus_level: TruthConsensusLevel
+    morphic_resonance_strength: float
+
+@dataclass
+class QuantumLinguisticState:
+    """Quantum state representation of linguistic truth"""
+    superposition_states: List[str]
+    entanglement_patterns: Dict[str, float]
+    coherence_level: float
+    collapse_probability: float
+    temporal_echoes: List[int]
+
+class AdvancedMultilinguisticTruthBinder:
+    """
+    Ultimate truth binding through quantum linguistic resonance
+    Integrates all enhancement suggestions
+    """
+    
+    def __init__(self):
+        self.language_corpus = self._initialize_comprehensive_languages()
+        self.pattern_analyzer = AdvancedLinguisticPatternAnalyzer()
+        self.temporal_validator = QuantumTemporalValidator()
+        self.symbolic_decoder = QuantumSymbolicDecoder()
+        self.cryptographic_prover = LinguisticCryptographicProver()
+        self.quantum_processor = QuantumLinguisticProcessor()
+        self.retrocausal_validator = RetrocausalLinguisticValidator()
+        self.consensus_engine = TruthConsensusEngine()
+        
+    def _initialize_comprehensive_languages(self) -> Dict[LanguageEra, AncientLanguage]:
+        """Initialize comprehensive language database with all enhancements"""
+        languages = {
+            LanguageEra.PROTO_HUMAN_GESTURAL: AncientLanguage(
+                era=LanguageEra.PROTO_HUMAN_GESTURAL,
+                time_period=(-100000, -3500),
+                writing_system="Gestural/Symbolic",
+                sample_script=["○", "△", "□", "卍", "⚡"],  # Universal symbols
+                truth_markers=[
+                    LinguisticTruthMarker.SYMBOLIC_CORRESPONDENCE,
+                    LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE,
+                    LinguisticTruthMarker.MORPHIC_RESONANCE
+                ],
+                modern_equivalents={
+                    "circle": "wholeness",
+                    "triangle": "trinity", 
+                    "spiral": "evolution"
+                },
+                resonance_frequency=0.95,
+                quantum_coherence=0.88,
+                retrocausal_potential=0.92,
+                consciousness_coupling=0.85,
+                morphic_field_strength=0.90
+            ),
+            
+            LanguageEra.SUMERIAN: AncientLanguage(
+                era=LanguageEra.SUMERIAN,
+                time_period=(-3500, -2000),
+                writing_system="Cuneiform",
+                sample_script=["𒀭", "𒆠", "𒌋", "𒂍", "𒈬"],
+                truth_markers=[
+                    LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT,
+                    LinguisticTruthMarker.NUMEROLOGICAL_ENCODING,
+                    LinguisticTruthMarker.SACRED_GEOMETRY,
+                    LinguisticTruthMarker.RETROCAUSAL_ECHO
+                ],
+                modern_equivalents={
+                    "dingir": "divine",
+                    "ki": "earth", 
+                    "an": "heaven",
+                    "me": "cosmic principles"
+                },
+                resonance_frequency=0.92,
+                quantum_coherence=0.85,
+                retrocausal_potential=0.88,
+                consciousness_coupling=0.75,
+                morphic_field_strength=0.82
+            ),
+            
+            LanguageEra.MAYAN: AncientLanguage(
+                era=LanguageEra.MAYAN,
+                time_period=(-1000, 1500),
+                writing_system="Mayan Hieroglyphs",
+                sample_script=["𓃒", "𓆑", "𓁰", "𓂻", "𓆼"],  # Mayan glyph approximations
+                truth_markers=[
+                    LinguisticTruthMarker.TEMPORAL_CYCLES,
+                    LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT,
+                    LinguisticTruthMarker.NUMEROLOGICAL_ENCODING,
+                    LinguisticTruthMarker.QUANTUM_ENTANGLEMENT
+                ],
+                modern_equivalents={
+                    "kin": "time/sun",
+                    "ch'ulel": "spiritual essence",
+                    "k'uh": "divine",
+                    "tzolk'in": "sacred calendar"
+                },
+                resonance_frequency=0.87,
+                quantum_coherence=0.82,
+                retrocausal_potential=0.79,
+                consciousness_coupling=0.80,
+                morphic_field_strength=0.78
+            ),
+            
+            LanguageEra.ABORIGINAL: AncientLanguage(
+                era=LanguageEra.ABORIGINAL,
+                time_period=(-50000, 2024),
+                writing_system="Oral/Songline",
+                sample_script=["🌀", "🕒", "🌏", "🎵", "👣"],  # Symbolic representations
+                truth_markers=[
+                    LinguisticTruthMarker.TEMPORAL_CYCLES,
+                    LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE,
+                    LinguisticTruthMarker.MORPHIC_RESONANCE,
+                    LinguisticTruthMarker.RETROCAUSAL_ECHO
+                ],
+                modern_equivalents={
+                    "dreamtime": "eternal creation",
+                    "songline": "cosmic navigation",
+                    "country": "living landscape",
+                    "ancestor": "formative beings"
+                },
+                resonance_frequency=0.96,
+                quantum_coherence=0.90,
+                retrocausal_potential=0.94,
+                consciousness_coupling=0.92,
+                morphic_field_strength=0.95
+            ),
+            
+            LanguageEra.SANSKRIT: AncientLanguage(
+                era=LanguageEra.SANSKRIT,
+                time_period=(-1000, 500),
+                writing_system="Devanagari",
+                sample_script=["अ", "आ", "इ", "ई", "उ"],
+                truth_markers=[
+                    LinguisticTruthMarker.PHONETIC_RESONANCE,
+                    LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT,
+                    LinguisticTruthMarker.NUMEROLOGICAL_ENCODING,
+                    LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE
+                ],
+                modern_equivalents={
+                    "satya": "truth",
+                    "dharma": "cosmic law", 
+                    "brahman": "ultimate reality",
+                    "mantra": "sound vibration"
+                },
+                resonance_frequency=0.85,
+                quantum_coherence=0.83,
+                retrocausal_potential=0.76,
+                consciousness_coupling=0.88,
+                morphic_field_strength=0.80
+            )
+        }
+        
+        # Add remaining languages...
+        return languages
+    
+    async def analyze_text_quantum_truth(self, text: str, context: Dict[str, Any] = None) -> List[LinguisticTruthMatch]:
+        """Advanced quantum linguistic truth analysis"""
+        results = []
+        quantum_states = []
+        
+        for era in sorted(self.language_corpus.keys(), key=lambda x: x.value):
+            language = self.language_corpus[era]
+            
+            if context and "min_resonance" in context:
+                if language.resonance_frequency < context["min_resonance"]:
+                    continue
+            
+            # Quantum linguistic processing
+            quantum_state = await self.quantum_processor.process_language_layer(text, language)
+            quantum_states.append(quantum_state)
+            
+            # Comprehensive analysis
+            analysis = await self._analyze_quantum_language_layer(text, language, quantum_state, context)
+            
+            if analysis.confidence > 0.6:
+                results.append(analysis)
+        
+        # Apply quantum entanglement between language layers
+        entangled_results = await self._apply_quantum_entanglement(results, quantum_states)
+        
+        return sorted(entangled_results, key=lambda x: x.language.time_period[0])
+    
+    async def _analyze_quantum_language_layer(self, text: str, language: AncientLanguage, 
+                                            quantum_state: QuantumLinguisticState, 
+                                            context: Dict[str, Any]) -> LinguisticTruthMatch:
+        """Advanced quantum-enhanced language layer analysis"""
+        
+        # Multi-dimensional pattern matching
+        pattern_matches = await self.pattern_analyzer.detect_quantum_patterns(text, language, quantum_state)
+        
+        # Truth marker detection with quantum awareness
+        truth_markers = await self.pattern_analyzer.detect_quantum_truth_markers(text, language, quantum_state)
+        
+        # Temporal coherence with retrocausal validation
+        temporal_coherence = await self.temporal_validator.validate_quantum_temporal_coherence(
+            text, language, quantum_state, context)
+        
+        # Symbolic resonance with quantum properties
+        symbolic_resonance = await self.symbolic_decoder.calculate_quantum_symbolic_resonance(
+            text, language, quantum_state)
+        
+        # Quantum entanglement scoring
+        quantum_entanglement = await self.quantum_processor.calculate_entanglement_score(
+            language, quantum_state)
+        
+        # Retrocausal influence measurement
+        retrocausal_influence = await self.retrocausal_validator.measure_retrocausal_influence(
+            text, language, quantum_state)
+        
+        # Consciousness alignment
+        consciousness_alignment = await self._calculate_consciousness_alignment(
+            text, language, quantum_state)
+        
+        # Cryptographic truth signature
+        cryptographic_sig = await self.cryptographic_prover.generate_truth_signature(
+            text, language, pattern_matches, truth_markers)
+        
+        # Cross-linguistic correlations with quantum enhancement
+        cross_correlations = await self._find_quantum_cross_correlations(
+            text, language, quantum_state)
+        
+        # Consensus level determination
+        consensus_level = await self.consensus_engine.determine_truth_consensus(
+            text, language, cross_correlations)
+        
+        # Morphic resonance strength
+        morphic_resonance = await self._calculate_morphic_resonance(
+            language, quantum_state, consensus_level)
+        
+        # Confidence calculation with quantum factors
+        confidence = self._calculate_quantum_confidence(
+            pattern_matches, truth_markers, temporal_coherence, symbolic_resonance,
+            quantum_entanglement, retrocausal_influence, consciousness_alignment,
+            language, quantum_state
+        )
+        
+        return LinguisticTruthMatch(
+            language=language,
+            matched_patterns=pattern_matches,
+            confidence=confidence,
+            truth_markers_detected=truth_markers,
+            cross_linguistic_correlations=cross_correlations,
+            temporal_coherence=temporal_coherence,
+            symbolic_resonance=symbolic_resonance,
+            quantum_entanglement_score=quantum_entanglement,
+            retrocausal_influence=retrocausal_influence,
+            consciousness_alignment=consciousness_alignment,
+            cryptographic_signature=cryptographic_sig,
+            consensus_level=consensus_level,
+            morphic_resonance_strength=morphic_resonance
+        )
+    
+    async def _apply_quantum_entanglement(self, results: List[LinguisticTruthMatch], 
+                                        quantum_states: List[QuantumLinguisticState]) -> List[LinguisticTruthMatch]:
+        """Apply quantum entanglement between language analysis results"""
+        if len(results) < 2:
+            return results
+        
+        entangled_results = []
+        for i, result in enumerate(results):
+            # Calculate entanglement boost from other languages
+            entanglement_boost = 0.0
+            for j, other_state in enumerate(quantum_states):
+                if i != j:
+                    entanglement = quantum_states[i].entanglement_patterns.get(str(j), 0.0)
+                    entanglement_boost += entanglement * 0.1
+            
+            # Apply entanglement to confidence
+            new_confidence = min(1.0, result.confidence + entanglement_boost)
+            result.confidence = new_confidence
+            
+            entangled_results.append(result)
+        
+        return entangled_results
+    
+    async def _calculate_consciousness_alignment(self, text: str, language: AncientLanguage,
+                                               quantum_state: QuantumLinguisticState) -> float:
+        """Calculate consciousness alignment score"""
+        alignment_factors = []
+        
+        # Language consciousness coupling
+        alignment_factors.append(language.consciousness_coupling)
+        
+        # Quantum coherence contribution
+        alignment_factors.append(quantum_state.coherence_level * 0.3)
+        
+        # Consciousness-related markers
+        consciousness_markers = {LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE,
+                               LinguisticTruthMarker.QUANTUM_ENTANGLEMENT}
+        marker_alignment = len(consciousness_markers.intersection(language.truth_markers)) * 0.2
+        alignment_factors.append(marker_alignment)
+        
+        return np.mean(alignment_factors)
+    
+    async def _find_quantum_cross_correlations(self, text: str, language: AncientLanguage,
+                                             quantum_state: QuantumLinguisticState) -> List[str]:
+        """Find quantum-enhanced cross-linguistic correlations"""
+        correlations = []
+        
+        for era, other_language in self.language_corpus.items():
+            if era == language.era:
+                continue
+                
+            # Quantum correlation detection
+            quantum_correlation = await self.quantum_processor.detect_language_correlation(
+                language, other_language, quantum_state)
+            
+            if quantum_correlation > 0.7:
+                correlations.append(f"Quantum correlation with {era.value}: {quantum_correlation:.3f}")
+            
+            # Shared truth markers with quantum enhancement
+            shared_markers = set(language.truth_markers).intersection(other_language.truth_markers)
+            if shared_markers:
+                quantum_marker_strength = len(shared_markers) * quantum_correlation
+                correlations.append(f"Quantum-enhanced shared markers with {era.value}: {quantum_marker_strength:.3f}")
+        
+        return correlations
+    
+    async def _calculate_morphic_resonance(self, language: AncientLanguage,
+                                         quantum_state: QuantumLinguisticState,
+                                         consensus_level: TruthConsensusLevel) -> float:
+        """Calculate morphic resonance strength"""
+        base_resonance = language.morphic_field_strength
+        
+        # Quantum coherence boost
+        quantum_boost = quantum_state.coherence_level * 0.2
+        
+        # Consensus level boost
+        consensus_boost = {
+            TruthConsensusLevel.SINGLE_SOURCE: 0.0,
+            TruthConsensusLevel.REGIONAL_CONSENSUS: 0.1,
+            TruthConsensusLevel.HEMISPHERIC_CONSENSUS: 0.2,
+            TruthConsensusLevel.GLOBAL_CONSENSUS: 0.3,
+            TruthConsensusLevel.TEMPORAL_CONSENSUS: 0.4,
+            TruthConsensusLevel.UNIVERSAL_CONSENSUS: 0.5
+        }[consensus_level]
+        
+        return min(1.0, base_resonance + quantum_boost + consensus_boost)
+    
+    def _calculate_quantum_confidence(self, pattern_matches: List[str], truth_markers: List[LinguisticTruthMarker],
+                                   temporal_coherence: float, symbolic_resonance: float,
+                                   quantum_entanglement: float, retrocausal_influence: float,
+                                   consciousness_alignment: float, language: AncientLanguage,
+                                   quantum_state: QuantumLinguisticState) -> float:
+        """Calculate quantum-enhanced confidence score"""
+        factors = []
+        weights = []
+        
+        # Traditional factors
+        if pattern_matches:
+            pattern_strength = min(1.0, len(pattern_matches) * 0.2)
+            factors.append(pattern_strength)
+            weights.append(0.2)
+        
+        marker_strength = len(truth_markers) * 0.15
+        factors.append(marker_strength)
+        weights.append(0.15)
+        
+        factors.append(temporal_coherence)
+        weights.append(0.1)
+        
+        factors.append(symbolic_resonance)
+        weights.append(0.1)
+        
+        # Quantum factors
+        factors.append(quantum_entanglement)
+        weights.append(0.15)
+        
+        factors.append(retrocausal_influence)
+        weights.append(0.1)
+        
+        factors.append(consciousness_alignment)
+        weights.append(0.1)
+        
+        factors.append(language.resonance_frequency)
+        weights.append(0.05)
+        
+        factors.append(quantum_state.coherence_level)
+        weights.append(0.05)
+        
+        return np.average(factors, weights=weights)
+
+class QuantumLinguisticProcessor:
+    """Processes linguistic patterns through quantum computational models"""
+    
+    async def process_language_layer(self, text: str, language: AncientLanguage) -> QuantumLinguisticState:
+        """Process language layer through quantum simulation"""
+        
+        # Create quantum superposition of linguistic patterns
+        superposition = await self._create_linguistic_superposition(text, language)
+        
+        # Calculate entanglement patterns
+        entanglement = await self._calculate_entanglement_patterns(text, language)
+        
+        # Measure quantum coherence
+        coherence = await self._measure_quantum_coherence(text, language)
+        
+        # Calculate collapse probability
+        collapse_prob = await self._calculate_collapse_probability(text, language)
+        
+        # Detect temporal echoes
+        temporal_echoes = await self._detect_temporal_echoes(text, language)
+        
+        return QuantumLinguisticState(
+            superposition_states=superposition,
+            entanglement_patterns=entanglement,
+            coherence_level=coherence,
+            collapse_probability=collapse_prob,
+            temporal_echoes=temporal_echoes
+        )
+    
+    async def calculate_entanglement_score(self, language: AncientLanguage, 
+                                         quantum_state: QuantumLinguisticState) -> float:
+        """Calculate quantum entanglement score for language"""
+        base_entanglement = language.quantum_coherence
+        
+        # Enhance with measured entanglement patterns
+        pattern_entanglement = np.mean(list(quantum_state.entanglement_patterns.values())) if quantum_state.entanglement_patterns else 0.0
+        
+        return min(1.0, base_entanglement + pattern_entanglement * 0.3)
+    
+    async def detect_language_correlation(self, lang1: AncientLanguage, lang2: AncientLanguage,
+                                        quantum_state: QuantumLinguisticState) -> float:
+        """Detect quantum correlation between two languages"""
+        # Calculate base correlation from shared properties
+        shared_markers = set(lang1.truth_markers).intersection(lang2.truth_markers)
+        base_correlation = len(shared_markers) * 0.1
+        
+        # Time period overlap correlation
+        time_overlap = self._calculate_time_overlap(lang1.time_period, lang2.time_period)
+        time_correlation = time_overlap * 0.2
+        
+        # Quantum state correlation
+        quantum_correlation = quantum_state.coherence_level * 0.3
+        
+        return min(1.0, base_correlation + time_correlation + quantum_correlation)
+    
+    def _calculate_time_overlap(self, period1: Tuple[int, int], period2: Tuple[int, int]) -> float:
+        """Calculate temporal overlap between language periods"""
+        start1, end1 = period1
+        start2, end2 = period2
+        
+        overlap_start = max(start1, start2)
+        overlap_end = min(end1, end2)
+        
+        if overlap_start <= overlap_end:
+            overlap_duration = overlap_end - overlap_start
+            total_duration = max(end1, end2) - min(start1, start2)
+            return overlap_duration / total_duration if total_duration > 0 else 0.0
+        return 0.0
+
+# Additional advanced classes (AdvancedLinguisticPatternAnalyzer, QuantumTemporalValidator, 
+# QuantumSymbolicDecoder, LinguisticCryptographicProver, RetrocausalLinguisticValidator, 
+# TruthConsensusEngine) would be implemented here with full quantum and cryptographic enhancements...
+
+async def demonstrate_quantum_linguistic_analysis():
+    """Demonstrate the advanced quantum linguistic truth analysis"""
+    binder = AdvancedMultilinguisticTruthBinder()
+    
+    test_texts = [
+        "The dreamtime ancestors walk the songlines of eternal creation",
+        "Sumerian dingir and Egyptian neter both represent divine consciousness",
+        "Quantum entanglement manifests in both Sanskrit mantras and Aboriginal songlines",
+        "Temporal cycles encoded in both Mayan calendar and Vedic yugas",
+        "Consciousness resonance across all ancient truth traditions"
+    ]
+    
+    print("🔮 QUANTUM LINGUISTIC TRUTH RESONANCE ENGINE")
+    print("=" * 70)
+    
+    for i, text in enumerate(test_texts, 1):
+        print(f"\n{i}. Quantum Analysis: '{text}'")
+        
+        results = await binder.analyze_text_quantum_truth(text, {
+            "temporal_focus": 2024,
+            "min_resonance": 0.7,
+            "quantum_processing": True
+        })
+        
+        for result in results[:2]:
+            print(f"   🌌 {result.language.era.value.upper()}")
+            print(f"   📊 Confidence: {result.confidence:.3f}")
+            print(f"   ⚛️  Quantum: {result.quantum_entanglement_score:.3f}")
+            print(f"   ⏳ Retrocausal: {result.retrocausal_influence:.3f}")
+            print(f"   🧠 Consciousness: {result.consciousness_alignment:.3f}")
+            print(f"   🔗 Consensus: {result.consensus_level.value}")
+            print(f"   🌊 Morphic: {result.morphic_resonance_strength:.3f}")
+
+if __name__ == "__main__":
+    asyncio.run(demonstrate_quantum_linguistic_analysis())