ATANT: An Evaluation Framework for AI Continuity
We present ATANT (Automated Test for Acceptance of Narrative Truth), an open evaluation framework for measuring continuity in AI systems: the ability to persist, update, disambiguate, and reconstruct meaningful context across time. While the AI industry has produced memory components (RAG pipelines, vector databases, long context windows, profile layers), no published framework formally defines or measures whether these components produce genuine continuity. We define continuity as a system property with 7 required properties, introduce a 10-checkpoint evaluation methodology that operates without an LLM in the evaluation loop, and present a narrative test corpus of 250 stories comprising ...
| Authors | Samuel Sameer Tanguturi |
|---|---|
| Primary category | cs.AI |
| Published | 8 April 2026 |
| Last updated at source | 19 April 2026 |
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