Unverified50% confidenceBenchmarkExact time
multicalc compares the computational results of each module against reference implementations such as numpy, scipy, filterpy, mpmath, and mujoco, achieving consistency at approximately 1 ulp level.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/15/2026
First Seen
Valid until: 11/13/2026
Sources
multicalc:no_std Rust打造的嵌入式科学计算库
Related Claims
UnverifiedAccording to internal multi-turn coding benchmark data published by Augment, Prism is able to match the output quality of the best single model.59% similarUnverifiedThe project has a built-in generate–evaluate–retry mechanism with a maximum of 3 retries; if all three attempts fail to meet the standard, the best-matching version is returned.57% similarUnverifiedIn k-fold cross-validation, each fold produces a set of performance metric values, providing paired observation samples for the Wilcoxon signed-rank test.57% similarUnverifiedEvaluating multilingual ASR should simultaneously report WER, CER, LID accuracy, and entity-level accuracy, rather than relying on a single metric.56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/750269API
curl https://kongchang.com/api/v1/knowledge/claims/750269MCP
get_claim(id=750269)