Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
Current LLM memory systems treat all personal facts identically, so stores grow without bound while retrieval precision degrades. The core challenge is lifecycle management: which memories should persist, which should be replaced, and at what rate, conditioned on the behavioral type of each fact. Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and applies category-specific lifecycle policies (differential temporal decay, slot-key supersession, event-time validity, and category-aware retrieval routing) as deterministic functions
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 63%MemoryOps AI: governed memory runtime for LLM agents with deletion-leakage evals and context admission [P] →
- LinkedLinked via arxiv author · 85%Ansuman Mullick →
“Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs”
- LinkedLinked via arxiv author · 85%Eray Tüzün →
“Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs”