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ATANT: AI Continuity Evaluation Framework

ATANT: AI Continuity Evaluation Framework
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📄Read original on ArXiv AI
#evaluation-framework#ai-memory#continuityatantatantkenotic-labsarxiv

💡First benchmark for AI continuity – test your memory systems before production.

⚡ 30-Second TL;DR

What Changed

Defines AI continuity with 7 required properties

Why It Matters

Provides first formal benchmark for AI memory systems like RAG and long contexts, enabling reliable continuity validation. Helps prevent cross-contamination in multi-narrative databases, critical for production AI.

What To Do Next

Clone https://github.com/Kenotic-Labs/ATANT and run the 10-checkpoint eval on your RAG pipeline.

Who should care:Researchers & Academics

Key Points

  • Defines AI continuity with 7 required properties
  • 10-checkpoint eval without LLM in loop
  • 250 stories, 1,835 questions across 6 domains
  • Reference impl hits 100% on 250-story cumulative test
  • System-agnostic, open-source on GitHub
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