Paper 020 — Invariants of Derivation Spaces
020 — Invariants of Derivation Spaces Document: papers/020.md Status: Draft Version: 0.1 Authors Eduardo N. Hering OpenAI ChatGPT Abstract The previous paper established that architectures induce derivation spaces whose structural complexity may vary considerably. Complexity alone, however, cannot explain why all valid derivations remain realizations of the same architecture. This paper argues that every derivation space possesses structural invariants. These invariants preserve architectural identity while permitting derivational diversity. The existence of such invariants explains how multiple distinct realizations may remain architecturally equivalent. ...