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English(EN) On Weak Bisimilarities in CCSK

在CCSK框架中探索新的相似性概念

本文在CCSK框架(CCS的可逆扩展)中探讨了各种相似性概念。它基于$\tau$动作的方向性,引入了两种新的弱相似性变体:定向和混合。研究表明,混合相似性作为一种同余,能够有效地抽象$\tau$动作。 AI

排序理由 该条目是提交到arXiv的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

在CCSK框架中探索新的相似性概念

本文如何被排名

Signal score
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该条目是提交到arXiv的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper
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AI-industry relevance
Low
Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
Story freshness
56 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Baptiste Vall\'ee, Ivan Lanese ·

    关于CCSK中的弱相似性

    arXiv:2608.11531v1 Announce Type: new Abstract: In the context of CCSK, a reversible extension of CCS, we study different notions of bisimilarity (strong/weak, forward-only/reversible) and highlight their differences and commonalities. In particular, for the weak reversible case,…