Unverified50% confidenceOpinionExact time
The 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.
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50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
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UnverifiedThe paper is currently still in the theoretical and preliminary experimental stage, and its performance on large-scale practical problems as well as the sensitivity of scaling factor design to different objectives remain to be verified by subsequent research.79% similarUnverifiedThis work is currently still an academic preprint, and its generalization ability to larger-scale models and broader tasks remains to be verified by subsequent research.79% similarUnverified研究表明校准能力与模型规模之间存在正相关，这一关系在多项实证研究中得到验证77% similarVerifiedThe content of this article is compiled based on the paper abstract; the specific experimental design, dataset scale, and comparison results with existing metrics should refer to the full paper.76% similarUnverifiedThe performance, computational cost, and scalability of this paper's method on large-scale real-world datasets still require subsequent empirical validation.74% similar
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