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ReferClaw: Disambiguating User Intent for Egocentric Assistance

ReferClaw is an agentic framework for egocentric AI assistants that resolves ambiguous user queries by asking clarifying questions before answering. It uses three cooperating agents to identify candidate interpretations, request clarification, and generate grounded answers, guided by a cost-aware policy that balances information gain against user effort. Evaluations on augmented egocentric QA benchmarks show improved answer accuracy and zero-shot transfer across datasets.