In a minimal two-state recurrent Transformer, asymmetric input injection induces stable specialization where one state becomes a committed proposal and the other retains shifting uncertainty.
arXiv:2510.00355 , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LIFE is a proposed agentic framework that combines four components to enable incremental, flexible, and energy-efficient continual learning for HPC operations such as latency spike mitigation.
citing papers explorer
-
One Model, Two Roles: Emergent Specialization in a Shared Recurrent Transformer
In a minimal two-state recurrent Transformer, asymmetric input injection induces stable specialization where one state becomes a committed proposal and the other retains shifting uncertainty.
-
LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems
LIFE is a proposed agentic framework that combines four components to enable incremental, flexible, and energy-efficient continual learning for HPC operations such as latency spike mitigation.