Unverified50% confidenceOpinionExact time
Computational graph representations have limitations for tasks that are hard to formalize, such as commonsense reasoning and causal inference, and how to construct appropriate graph structures remains an open problem.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBenchmark scores alone make it difficult to determine whether a model has truly mastered mathematical reasoning; step-by-step verification of the problem-solving process by domain experts is required.75% similarUnverifiedThe complete decoupling of appearance and motion is a mathematically ill-posed problem, and current solutions are essentially approximate solutions under specific assumptions.75% similarUnverified提示工程类工作难以提供严格的理论分析，其有效性更多依赖实验观察74% similarUnverifiedPure vector retrieval can only measure semantic proximity and cannot establish explicit logical associations between entities, making it difficult to handle cross-document comprehensive reasoning problems.72% similarUnverifiedFor cutting-edge mathematical research problems, even the correct formulation of the problem itself is often unknown, which exposes each stage of an automated pipeline to greater uncertainty than competition mathematics.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1028777API
curl https://kongchang.com/api/v1/knowledge/claims/1028777MCP
get_claim(id=1028777)