Unverified50% confidenceFactExact time
The paper proves an exploration lower bound that holds for any predictable step sizes, and combines it with a statistical lower bound to yield matching mean-squared rates up to logarithmic factors.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe results presented in the paper are from the research stage, and their robustness under large-scale models and complex prompts remains to be verified by subsequent work.72% similarUnverified小概率崩溃事件的检测本质上可用泊松分布精确描述,捕获足够样本量所需时间与系统规模成反比关系70% similarUnverifiedThe study conducted a formal identifiability analysis, explicitly specifying the conditions under which aggregated observations can identify a constrained instance predictor.70% similarUnverifiedThe performance, computational cost, and scalability of this paper's method on large-scale real-world datasets still require subsequent empirical validation.70% similarUnverifiedTo evaluate the degradation resistance of an extraction system, one should construct a gradient-difficulty test set and compute accuracy curves separately for simple, medium, and complex documents, rather than looking only at the overall average.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1002195API
curl https://kongchang.com/api/v1/knowledge/claims/1002195MCP
get_claim(id=1002195)