Unverified50% confidenceConceptExact time
The copy-initial-state baseline can achieve a not-low score on cell-level accuracy when, after multi-step operations, the grid often changes only locally and its overall layout remains similar to the initial state.
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50%
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Long-term
Relevance
10/16/2026
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UnverifiedA model's performance must clearly surpass the copy-initial-state baseline to prove that it is genuinely doing state inference rather than static copying.70% similarUnverifiedOn long-history tasks, some models can capture a considerable number of correct changes, clearly exceeding the baseline of directly copying the initial state.69% similarUnverifiedA stateful graph persists intermediate results throughout the inference process and feeds intermediate states as inputs to subsequent nodes, which differs from stateless single LLM calls.69% similarUnverified如果 ReplaySSM 的方法能够落地，状态存储的优化意味着同样的显存可以支撑更长的上下文或更大的批处理规模，且可直接集成到现有推理栈中，无需重新训练模型。67% similarUnverifiedExisting topology-aware generative models usually rely on soft regularization, causing the persistence diagrams of generated graphs to only be approximately similar, with no guarantee of exact matching.64% similar
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