Update VALIDATION.md

docs/pipeline/VALIDATION.md

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+# Validation Pipeline
+
+## Overview
+
+The DataHive validation pipeline ensures data quality and reliability through a multi-layered verification process integrated with other pipeline components. This system works in conjunction with the indexing, curation, and processing modules to maintain data integrity across the network.
+
+## Core Components
+
+### Initial Validation
+```python
+class ValidationProcessor:
+    def __init__(self):
+        self.source_validator = SourceValidator()
+        self.content_checker = ContentChecker()
+        self.format_validator = FormatValidator()
+
+    async def validate_entry(self, document):
+        source_valid = await self.source_validator.verify(document)
+        content_valid = self.content_checker.validate(document)
+        format_valid = self.format_validator.check(document)
+        return self.generate_validation_report(source_valid, content_valid, format_valid)
+```
+
+### Pipeline Integration
+
+**Pre-Processing Stage**
+- Document format verification
+- Source authenticity checks
+- Content completeness validation
+- Duplicate detection
+
+**Processing Stage**
+- Content analysis validation
+- Reference verification
+- Metadata validation
+- Structure verification
+
+**Post-Processing Stage**
+- Cross-reference validation
+- Consistency checks
+- Quality scoring
+- Version control
+
+## Validation Workflow
+
+### Document Intake
+- Initial format verification
+- Structure validation
+- Metadata extraction
+- Content analysis
+
+### Quality Assurance
+- Text validation
+- Reference checking
+- Consistency verification
+- Completeness assessment
+
+### Consensus Phase
+- Node distribution
+- Peer validation
+- Score aggregation
+- Final approval
+
+## Integration Points
+
+### Indexing Pipeline
+- Pre-indexing validation
+- Format standardization
+- Schema compliance
+- Reference integrity
+
+### Curation System
+- Quality metrics tracking
+- Content accuracy scoring
+- Source reliability rating
+- Processing success rate
+
+### Storage Layer
+- Version control validation
+- Change history verification
+- Integrity checks
+- Redundancy validation
+
+## Quality Metrics
+
+### Performance Indicators
+- Content accuracy score
+- Source reliability rating
+- Processing success rate
+- Validation consensus level
+
+### Validation Thresholds
+- Minimum consensus requirements
+- Quality score thresholds
+- Performance benchmarks
+- Time constraints
+
+*Note: This documentation is subject to updates as the validation system evolves.*