UserCentrix is a hybrid agentic orchestration framework for smart spaces that treats user intent as a control signal to prioritize tasks and dynamically trade off speed versus accuracy under edge constraints.
Scaling LLM test-time compute optimally can be more effective than scaling parameters for reasoning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces
UserCentrix is a hybrid agentic orchestration framework for smart spaces that treats user intent as a control signal to prioritize tasks and dynamically trade off speed versus accuracy under edge constraints.