Integrating Peirce's Sign Triad into the Bastian A-000 Symbolat Architecture

We keep building AI systems that remember — but don't understand. The field has made enormous progress on retrieval. GraphRAG connects entities. Typed edges detect contradictions. SQLite stores personality. Vector databases find similar chunks in milliseconds. None of this answers a simpler question: what does a stored concept mean to the system that stored it? Not what it means in general. Not what Wikipedia says. What it means HERE — in the context of this system's own architecture, its own history, its own reasoning patterns. This is not a retrieval problem. It's a semiotic one. Peirce identified it in 1903. The sign is not dyadic (word → thing) but triadic: representamen → object → interpretant. The interpretant is irreducible. You cannot collapse it into the other two. A system without an interpretant doesn't have signs — it has labels. And here is Prower's (1987) sharpest observation: the most dangerous form of sign degeneration is when the interpretant constructs its own object instead of being constrained by external reality. The system generates fluent, coherent responses that refer to nothing real. We call this hallucination. We treat it as a probabilistic failure to be smoothed by RLHF or RAG retrieval. But it is a structural failure. A system without grounded interpretants cannot detect its own degeneration — because it has no representation of what grounding means. I built this into Bastian A-000. Every knowledge atom (Symbolat) now carries two orthogonal axes:— SSS (BIO/PHY/ABS): how certain is this knowledge?— Semiotic triad (sign/object/interpretant): what does it mean to this system? The semio_phy field measures how well the interpretant's object is anchored in external documents. When high ABS + low PHY + low semio_phy coincide — that is Prower's third degeneracy. Structurally detectable. Flagged before any query is processed. Not a filter on outputs. A property of knowledge representation. The difference matters. Filtering outputs is whack-a-mole. Structural degeneration detection means the system knows — before it speaks — which of its knowledge atoms are hallucinating.