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module module moderate

IndisputableMonolith.Verification.YardstickAssignmentChoiceSet

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Enumerates the discrete choice set of sector B_pow yardstick assignments: canonical and orientation-mirrored maps, a finite value pool tied to Anchor formulas, sum-to-one targets, and structural versus principle constraints. Verification authors cite it when discharging Open Problem O1 (sector-to-cube coupling). The module is mostly definitions plus matching lemmas, not a deep existence proof.

claimThe module defines admissible $B_{\mathrm{pow}}$ yardstick assignments for particle sectors: a canonical assignment, its orientation-reflected counterpart (same magnitudes, flipped active-edge sign), the finite pool of $B_{\mathrm{pow}}$ values matching Anchor mass formulas, a sum target equal to $1$, and the structural and principle constraint sets inherited from the Yardstick Assignment Principle (sector $\leftrightarrow$ 3-cube coupling).

background

Recognition Science places sector masses on a $\varphi$-ladder with a sector yardstick prefactor. Open Problem O1 asks why each sector receives a definite $B_{\mathrm{pow}}$ (and $r_0$) from the counting layer rather than by fit. The Yardstick Assignment Principle answers by coupling each sector to a distinct combinatorial level of the 3-cube.

Upstream, Masses.Anchor centralises the parameter-free Model-layer constants from the mass manuscripts (no experimental-agreement claims). The principle module states the sector $\leftrightarrow$ cube coupling story. This module sits one step downstream: it turns that principle into an explicit finite choice set of $B_{\mathrm{pow}}$ assignments, including the orientation-reflected twin of the canonical map (same magnitudes, flipped active-edge sign).

Notation in-module: assignment types, a value pool, list-to-assignment coercion, an all-assignments enumerator, a sum target, and two constraint bundles (structural versus principle).

proof idea

Definition-and-matching module, not a single theorem. It introduces assignment types and the canonical versus mirrored $B_{\mathrm{pow}}$ maps; builds a finite value pool; proves the pool matches Anchor formula shapes; coerces lists into assignments and enumerates all candidates; defines a sum target and shows it equals one and agrees with the principle module; packages structural constraints and principle constraints as the filters on that choice set. Equalities are direct algebraic or list-level checks against Anchor and the principle imports.

why it matters in Recognition Science

Closes the choice-set side of Open Problem O1: once sectors couple to 3-cube levels, the admissible $B_{\mathrm{pow}}$ data must be a small, fully listed set with sum-one and Anchor-compatible values. Canonical and mirrored assignments make orientation symmetry explicit without enlarging magnitudes. Downstream used-by edges are empty in the current graph, so the module is a verification leaf: it supplies the concrete assignment universe that principle-level and mass-ladder arguments can quantify over. Ties to the RS mass formula (yardstick $\times \varphi^{\mathrm{rung}-8+\mathrm{gap}(Z)}$) by pinning the yardstick exponents to a forced discrete pool rather than free parameters.

scope and limits

depends on (2)

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