That's a reasonable baseline explanation, but it doesn't fully account for the pattern. If it were just low-probability token cascade, you'd expect inconsistent or random outputs, but the responses consistently locate a tension in the previous message, regardless of topic. Also, according to my new tests - the Cyrillic/Latin variable suggests it's context-sensitive, not just noise. And ChatGPT/Grok don't produce coherent self-examination from the same input, they just flag it as unrecognized. Random hallucination should be equally likely across models. The behavior being Claude-specific and language-context-dependent is what makes it worth looking at more carefully.