Technical Standards

API & Integration Standards

All programmatic access to Aevum Encyclopedia is routed through our RESTful API v2. The platform enforces strict typing, pagination, and caching directives to ensure consistent performance across global CDNs.

Endpoint Architecture

Data Schema & Structure

Aevum utilizes a strict JSON-LD 1.1 compliant schema with custom extensions for academic citation, multilingual fallbacks, and knowledge graph edges. All article payloads must conform to the AevumArticle context.

{
  "@context": "https://schema.aevum.org/v2",
  "@type": "AevumArticle",
  "id": "ae:qcomp-7829",
  "title": {
    "@value": "Quantum Computing",
    "@language": "en"
  },
  "version": 4.2,
  "lastVerified": "2025-09-14T08:30:00Z",
  "expertiseScore": 0.94,
  "citations": [
    {
      "type": "PeerReview",
      "source": "Nature Physics",
      "doi": "10.1038/s41567-024-02112"
    }
  ],
  "graphEdges": ["ae:superposition", "ae:entanglement"]
}

Validation Rules

• Titles must not exceed 120 characters; alt titles supported via @language arrays.
• expertiseScore is auto-calculated via editorial consensus algorithm (range: 0.0–1.0).
• Articles without valid citations are flagged as unverified and restricted from public API until review.

Security & Authentication

All API requests require OAuth 2.0 Bearer tokens or scoped API keys. Read-only endpoints support anonymous access with strict rate limiting, while write operations require contributor or editor scopes.

Accessibility & Performance Standards

The platform enforces WCAG 2.2 AA compliance across all client-rendered interfaces and structured data outputs. Performance budgets are strictly enforced via CI/CD pipelines.

All interactive components must support keyboard navigation, screen reader announcements, and reduced motion preferences. SVG assets require role="img" and aria-label attributes.

Contribution Pipeline

Content submission follows a GitOps-inspired workflow. Drafts are authored in Markdown, validated against our schema, and routed through automated fact-checking before peer review.

---
title: "Machine Learning Fundamentals"
category: "Technology"
tags: ["AI", "CS", "Algorithms"]
expertise_level: "Intermediate"
requires_review: true
---

# Machine Learning

A subset of artificial intelligence focused on...

[[citation:doi-10.1145/...]] 

## Core Concepts
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning

Pipeline Stages

1. Lint & Schema Validation → Enforces markdown structure and metadata completeness.
2. AI Fact-Check → Cross-references claims against verified corpus; flags anomalies.
3. Editorial Queue → Assigned to domain experts based on tag matching.
4. Publication → Immutable snapshot stored in IPFS with on-chain proof of revision.

Versioning & Deprecation

Aevum follows Semantic Versioning (SemVer) for all API releases and schema updates. Breaking changes require a minor version bump for APIs, with a minimum 6-month deprecation window.

• v2.x.x → Current stable release (active development)
• v1.x.x → Maintenance mode (security patches only)
• Deprecation notices are communicated via Deprecation: sunset=date headers and dashboard alerts.

Rate Limits & Quotas

Exceeding limits returns 429 Too Many Requests with Retry-After header. Abuse detection triggers automatic IP throttling and security review.