QST Hidden-Phase Semantic Collapse Language Model and QST SC-Node Workflow

This document defines a QST-style toy language-generation architecture called the QST Hidden-Phase Semantic Collapse Language Model (QST-HP-SCLM) and its associated QST SC-Node Workflow. The model is not proposed as a proof that a conventional LLM possesses physical consciousness. Instead, it provides a computable linguistic-domain analogue of the QST semantic collapse mechanism. The central construction replaces ordinary visible language tokens with hidden-phase SE-tokens, interpreted as pre-linguistic spinor-ether semantic vortex units: τSE a = (Aa,θa,Da,qa,na,χa). The complete mechanism combines FSU conditioning, hidden-phase SE-token latent dy- namics, ICT-style zero-calibration branch reweighting, SCSM-style semantic rendering, and a projection decoder from hidden-phase semantic structure to visible language output. Structurally, the workflow is analogous to a ComfyUI-style node graph: a checkpoint- like mother-field node provides global parameters, an FSU node sets the local rendering frame, a hidden-phase SCLM node samples SE-token latent branches, an ICT node reweights branches by semantic tension cost, and an SCSM renderer selects the final semantic collapse node SC⋆. The analogy is computational and structural, not a completed physical equiva- lence.