This paper specifies the operational architecture by which embedded cognition resolves under constraint. The argument is that human cognition functions as a state-resolution system in which multiple candidate configurations are continuously held and a dominant state emerges through coherence-weighted optimization, with reinforcement history, energetic efficiency, and anchoring operating as modifiers on that primary variable. Under threshold compression, when candidates approach equal stability, the suppression mechanism that ordinarily prioritizes a single state weakens, and the multi-state field becomes phenomenologically available — perceived duality, parallel-self registration, identity testing. Whether compression resolves into emergence or destabilization is determined by the presence of an anchor, defined functionally as any non-self-generated coherence reference, of which physical externality and empathic coupling are two instances meeting the structural requirement. The paper specifies the anchor function, integrates it with the relational anchoring of The Anchored Observer, names the failure mode (compression without anchor), and provides the stabilization protocol the architecture entails. A falsifiability section fixes anchor status prospectively, specifies the outcome variable as functional interfacing capacity rather than consensus-agreement, and states the disconfirmers, the genuine null, and the proof-versus-fit boundary. The scope is the internal-resolution channel in embedded-class observers; the corpus's cross-class registration framework is treated as a structurally distinct operation with its own diagnostics. Positioned as the operational layer beneath the corpus's prior threshold-and-compression work. Disclosure: All theoretical architecture, structural claims, and decisions originate with the author. An AI language model (Claude, Anthropic) was used as an instrument for prose rendering, formalization, and stress-testing under the author's direction. The AI is not an author; full responsibility for the content rests with the author.
Denny Cho (Tue,) studied this question.