Unverified50% confidenceFactExact time
Expanding the minimum-f node advances the lower bound f_min, thereby enlarging the FOCAL set and allowing more nodes that may lead to feasible solutions to enter the candidate range.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn FS's deterministic strategy, the lower bound f_min may remain unchanged for an extended period, preventing the FOCAL set from expanding and causing the search to fall into an inefficient plateau.72% similarUnverified优先迁移依赖较少的叶子节点模块，其FFI复杂度最低，是理想的迁移起点63% similarUnverifiedFor small targets, large images should be tiled into overlapping 1008 px patches for separate inference and then merged; never resize directly, as this will produce confident but blurry boundaries or destroy small targets.62% similarUnverified稀疏激活架构下推理阶段的FLOPs与激活参数规模线性相关而非与总参数规模相关，从而降低单次推理的计算资源消耗和延迟61% similarUnverified在扩散模型中，较高的CFG（Classifier-Free Guidance）值会让输出更贴近提示词但更保守，较低的值给模型更多自由发挥空间61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/916280API
curl https://kongchang.com/api/v1/knowledge/claims/916280MCP
get_claim(id=916280)