Unverified50% confidenceFactExact time
SpaceCast-Bench contains 3,862 questions from 182 real scenes, covering 16 task types, divided into three levels: static perception, local prediction, and global prediction.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe dataset comes from the team's open-source NAP (Neutrae Agent Platform) project; 72 valid logs were filtered from 2,893 raw sessions, ultimately constructing 38 fine-grained scenario matrices.59% similarUnverifiedThe HybridDeepResearch benchmark contains 380 tool-dependent tasks.56% similarUnverified刷题建议目标覆盖 200–300 道高频题，重点掌握数组、字符串、哈希表、树、图、动态规划等核心主题55% similarUnverifiedThe paper evaluated RASS on four types of tasks: Gaussian mixture target distributions, FFHQ unconditional pixel-space generation, CIFAR-10 conditional generation, and latent-space diffusion based on Stable Diffusion 3.5.53% similarUnverifiedSparseLoc团队通过LLaMA、Grounded DINO和SAM识别静态地标，并将四百万点的点云地图压缩为4000个质心的稀疏表示进行定位52% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1013355API
curl https://kongchang.com/api/v1/knowledge/claims/1013355MCP
get_claim(id=1013355)