Unverified50% confidenceFactExact time
Latent space reasoning refers to the model thinking internally in more abstract, high-dimensional vector representations rather than converting each reasoning step into text tokens.
1
Sources
50%
Confidence
Long-term
Relevance
9/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLatent space reasoning allows the model to complete thinking in a continuous vector space composed of hidden states, only decoding the result into text at the final stage.80% similarUnverifiedIn deep thinking mode, the model first generates intermediate reasoning steps internally, then derives the final conclusion based on those steps, performing significantly better than direct generation when handling multi-step logical reasoning tasks.75% similarUnverifiedAnthropic's Extended Thinking feature allows the model to perform longer and more in-depth reasoning, and is the key reason the Opus model excels in ambiguous scenarios74% similarUnverifiedDify-Chat支持深度思考(Deep Thinking)展示,可呈现模型的推理过程74% similarUnverified深度推理模式的技术基础是链式思维(Chain-of-Thought)推理与推理时计算扩展(Inference-time Compute Scaling)74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/851345API
curl https://kongchang.com/api/v1/knowledge/claims/851345MCP
get_claim(id=851345)