Unverified50% confidenceTradeoffExact time
The cost of adapting PFS is low, requiring only the introduction of a probabilistic branch in the existing search loop, which can yield order-of-magnitude efficiency gains in specific scenarios.
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50%
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Long-term
Relevance
9/12/2026
First Seen
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Related Claims
UnverifiedProbabilistic Focal Search (PFS) follows the heuristic-guided selection of FS with probability p, and with probability 1-p expands the node with the minimum f value in the OPEN list.77% similarUnverifiedThe benefit of PFS is notably smaller on the pancake sorting problem, because deterministic search already progresses efficiently in that domain and FOCAL inclusion is not a bottleneck.75% similarUnverifiedBy hedging only the minority of requests that exceed the threshold (e.g., 5%), P99 and even P99.9 performance can be significantly improved while overall resource overhead increases only marginally.68% similarUnverifiedFP8在V100上的实际推理加速效果有限，主要收益体现在显存节省上65% similarVerifiedANN algorithms (such as HNSW and IVF-PQ) trade a very small amount of precision for orders-of-magnitude improvements in retrieval speed, and are the standard choice for production-grade vector retrieval64% similar
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