Unverified50% confidenceFactExact time
The researchers bound the upper bound of the Gaussian process posterior standard deviation over the entire search space via the filling distance of the queries, and thereby derive an upper bound on the inference regret.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen quantifying the cost difference between the two retrieval paths, three dimensions must be considered: token usage, number of knowledge base queries, and end-to-end latency.75% similarUnverifiedThe replacement frequency of the exploration queries and the optimal insertion phase may still leave room for insufficient discussion in this study.73% similarUnverifiedThe experiments are conducted along two dimensions: comparing routing decisions against common correction learners, and comparing the relationship between cost and query rate across six pricing scenarios.72% similarUnverifiedBefore multi-path retrieval results enter reranking, they typically need to undergo deduplication and score normalization; otherwise, inconsistent score scales across different retrieval paths will introduce bias.72% similarUnverified差分启发式的查询阶段计算 h(n, t) = 所有地标L中 |dist(n, L) - dist(t, L)| 的最大值，且该估计永远不会超过真实距离（可采纳性成立）70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1023521API
curl https://kongchang.com/api/v1/knowledge/claims/1023521MCP
get_claim(id=1023521)