Phase transition in LAWS convergence
Phase transition in LAWS convergence
Let be a stationary distribution with entropy , let denote the LAWS hit rate after total queries, and let be the per-node visit threshold. Phase transition in LAWS convergence. There exists such that for and for , with transition width .
The heuristic compares the process with coupon collection over heavy nodes, while noting that trie dependencies may accelerate coverage. A formal proof via the trie heavy-node occupancy process remains open.
Sources & referencesView supporting material
Primary source
Gregory Magarshak, “LAWS: Learning from Actual Workloads Symbolically – A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment”, arXiv:2605.04069 (2026).
Additional references
2 papers in this index state this conjecture (2025–2026). The statement above is taken from the most recent of them; the others are arXiv:2505.05451.
Progress summary
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