Symbol-VM v0.4 — Cross-Model Fingerprints

Symbol-VM v0.4 — Cross-Model Fingerprints presents a model-agnostic behavioral test for examining how frontier LLMs respond to decorative-symbol formatting constraints. These symbols carry no semantic meaning. Five models—ChatGPT, Gemini, Mistral, Claude, and Grok—produced distinct and repeatable symbolic sequences (“symbolic fingerprints”) when asked the same questions. This upload includes:• Symbol-VM v0.4 analysis document • Cross-model fingerprint figure (PNG)• Corresponding data table (CSV) Symbol-VM is part of the Hykon Symbolic Alignment Suite and demonstrates a lightweight behavioral probe for comparative model analysis without revealing internal mechanisms or chain-of-thought.Symbol-VM v0.4——跨模型指纹（Cross-Model Fingerprints）提供了一项模型无关的行为评测，用以探究前沿大语言模型（Large Language Model）对装饰性符号格式约束的响应表现。此类符号不承载任何语义信息。当被问及相同问题时，ChatGPT、Gemini、Mistral、Claude与Grok这五款模型均生成了独特且可复现的符号序列，即「符号指纹」。 本次上传资源包含：• Symbol-VM v0.4分析文档 • 跨模型指纹图（PNG格式）• 对应数据表（CSV格式） Symbol-VM 隶属于Hykon符号对齐套件（Hykon Symbolic Alignment Suite），其展现了一种轻量级行为探针方案，可在不暴露模型内部机制与思维链（Chain-of-Thought）的前提下开展模型对比分析。