In previous articles (1, 2), I analyzed Anthropic's J-space: why their interpretation falls short; why J-space analogues appear in micromodels under objective pressure rather than as an emergent property of scale; and why the vector they discovered is strictly equivalent to Vygotsky’s concept of the sign.

Two questions remained outside the scope: is a metasign possible—a sign integrating several basic ones—and what is the true nature of the neural network's self-description (the report)?

This article addresses both.

Neural Network Self-Description: The Prerequisite for Complex Reasoning