Unverified50% confidenceFactExact time
Land surface forecasting systems based on Mamba-series structured state space models absorb non-stationary confounding events into the state transition matrix, leading to persistent prediction bias.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
Unverified模型实际提交顺序几乎形成从左到右的三角形，源于Mamba状态空间模型的因果方向性偏置74% similarVerifiedMamba 等基于状态空间模型（SSM）的架构以线性复杂度实现序列建模，更适合实时推理74% similarVerifiedState space models represented by Mamba compress historical information by maintaining a fixed-size hidden state, with both time and space complexity of O(1) during inference.72% similarVerifiedState space models (SSMs) such as Mamba abandon the attention mechanism and use recurrent structures to achieve linear time complexity sequence modeling.71% similarUnverifiedSSU-LSF uses dedicated EKFac influence functions for the Mamba state matrix to quantify the contribution of events to parameters via closed-form matrix exponential gradients.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/975716API
curl https://kongchang.com/api/v1/knowledge/claims/975716MCP
get_claim(id=975716)