Unverified50% confidenceFactExact time
Explicit ASM trajectories provide dedicated Chain-of-Thought supervision for spatial reasoning, demonstrating complete thinking paths
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAsyncReasoning introduces asynchronous concepts into the inference process, allowing the model's thinking to be interrupted, inserted into, and reorganized by external events.70% similarUnverifiedVSM循环将思维链推理的每一步存储到专用记忆槽中,并在继续推理前先验证:数学步骤进行真实计算校验,逻辑步骤进行基于注意力的一致性检查68% similarUnverifiedThe Coconut (Chain of Continuous Thought) research proposed by the MIT team allows models to perform multi-step reasoning in a continuous latent space without discretizing intermediate states into text.67% similarUnverifiedThe structured state interface approach assumes the perception problem has been solved, allowing the model to focus on strategic planning, and is better suited for scenarios where a reasoning-oriented large language model serves as the decision-making core.67% similarUnverified该学习路线图的顺序为:动力学 → 因果推断 → 状态空间模型(SSMs)→ 蒙特卡洛树搜索(MCTS)→ 世界模型 → 元学习67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001971API
curl https://kongchang.com/api/v1/knowledge/claims/1001971MCP
get_claim(id=1001971)