Overview
At Aevum Encyclopedia, data integrity is not an add-on—it is the foundational architecture of our platform. Every article, citation, metadata field, and revision is subject to rigorous validation, cryptographic verification, and transparent editorial oversight.
Our standards are designed to prevent hallucination, mitigate bias, ensure academic rigor, and maintain a complete audit trail for every piece of published knowledge.
This document applies to all content ingested, edited, or published across Aevum Encyclopedia, including community contributions, expert submissions, and AI-assisted drafts.
Verification Pipeline
Content follows a four-stage pipeline before entering the live knowledge graph. No entry bypasses this workflow.
Source Ingestion
Raw content and citations are parsed. Primary sources, peer-reviewed journals, and official archives are prioritized. Third-party claims are flagged for verification.
AI Cross-Reference
Our verification engine cross-checks facts against 2.4M+ indexed articles, academic databases, and trusted registries. Discrepancies trigger a review queue.
Expert Review
Domain specialists evaluate contested claims, contextual accuracy, and citation validity. Minimum two independent reviewers per high-impact entry.
Publication & Hashing
Approved content is versioned, cryptographically hashed, and deployed to the CDN. A permanent audit log is generated and stored offline.
Technical Architecture
Our data integrity system relies on immutable logging, content hashing, and decentralized verification checkpoints.
| Component | Specification | Purpose |
|---|---|---|
| Content Hashing | SHA-256 per article revision |
Prevents silent tampering; enables integrity verification |
| Version Control | Git-like DAG with signed commits | Full revision history with cryptographic authorship proofs |
| Audit Logs | WORM-compliant storage | Write-once, read-many logs stored across geographically distributed nodes |
| CDN Verification | SRI (Subresource Integrity) |
Browser-level validation of delivered content against published hashes |
| Backup Strategy | 3-2-1 rule + offline tape archives | Protection against ransomware, data loss, and systemic failures |
All article revisions are retained indefinitely. Superseded content remains accessible via versioned URLs for academic and archival purposes.
AI & Editorial Governance
Artificial intelligence accelerates research and cross-referencing, but never replaces human editorial authority. Our AI governance framework ensures transparency and accountability.
- No Autonomous Publishing: AI-generated or AI-edited content requires explicit human approval before entering the live database.
- Provenance Tagging: Every AI-assisted contribution carries metadata indicating model version, prompt scope, and confidence thresholds.
- Hallucination Safeguards: Claims lacking direct citation triggers automatic routing to expert review. Unverifiable assertions are quarantined.
- Bias Auditing: Quarterly third-party audits evaluate representation, language neutrality, and geopolitical balance across all language editions.
Compliance & Audits
Aevum Encyclopedia operates under internationally recognized data security and transparency standards.
- ✅ ISO/IEC 27001:2022 — Information Security Management
- ✅ GDPR & CCPA Compliant — User data minimization, consent-driven tracking
- ✅ WCAG 2.1 AA — Accessibility standards for all knowledge interfaces
- ✅ Open Verification Protocol — Publicly auditable citation chains and source registries
Independent security firms conduct penetration testing twice annually. Reports are summarized in our annual Transparency Report.
Correction Protocol
Mistakes happen. Our correction protocol ensures they are addressed swiftly, transparently, and permanently logged.
- Submission: Users submit corrections via the dashboard or
edit@aevum.org - Triage: Automated routing to relevant domain reviewers within 24 hours
- Validation: Evidence is cross-referenced; if accepted, a new revision is published
- Notification: Subscribers to the article are notified. Major corrections trigger platform-wide alerts.
- SLA: Critical factual errors (health, safety, legal) are resolved within 48 hours. Standard corrections within 7 business days.
All accepted corrections are archived publicly. No edit is silently overwritten—integrity requires transparency.