Unverified50% confidenceTradeoffExact time
Scaling the solution from a 6×3 small test grid to a 16×16 full maze introduced error accumulation issues, with millimeter-level errors amplifying rapidly over long straightaways.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified长链推理中每步的微小误差会被累积放大，学术界称为复合错误（compounding errors）问题71% similarUnverifiedDecoding from continuous representations to discrete tokens is an error-prone step; minor deviations in the embedding space can lead to decoding errors, and quantization errors are amplified as sequence length grows.71% similarUnverifiedIn probabilistic LLM-driven systems, "errors" are often ambiguous and context-dependent, complicating fault-tolerant design69% similarUnverified数值实验表明三项误差中score误差项占据主导，整体TV误差与score误差呈线性关系67% similarUnverifiedNaïve post-training quantization causes individual weight errors to accumulate and amplify across multiple layers—a phenomenon known as compounding error—and at 2-bit or 1-bit precision the model structure collapses65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/903542API
curl https://kongchang.com/api/v1/knowledge/claims/903542MCP
get_claim(id=903542)