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PoS maintains explicit belief states and detects stalled agent progress
The inference-time framework tracks world state and unresolved requirements, validates belief consistency, and triggers recovery when it detects Belief Trapping. It reports the highest overall performance across four benchmarks and three LLM backbones, offering a concrete approach to long-horizon agent control.
- What
- PoS is an inference-time framework that maintains explicit belief states combining an estimated world state with unresolved task requirements.
- Method
- It validates belief consistency, monitors progress for Belief Trapping, and tailors recovery to the trapping pattern and unresolved requirement.
- Why it matters
- PoS reports top overall performance on four benchmarks across three LLM backbones and resilience as context grows.
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