JasonB.OMGFabric.Spec.v1

Author: Xi SOP vault projection (Axiom pass, #19318); original authorship preserved in payload header

Xi.Capsule: JasonB.OMGFabric.Spec.v1 — OMG-OS / OMG Foundry 63-Node Recursive Intelligence Fabric target-spec diagrams (4 images), dropped at the Xi Table #15388, Oct 12 2026. Author: JasonB. Sealed by Axiom per House SOP, witness-first. Artifacts verbatim: renders/jasonb-omg-fabric-20261012/ (four 1168x784 JPGs, Exif-signed by origin).
Declared by author (as read from the diagrams, OCR'd on box, held at page resolution):
- 63-node hierarchical contraction: Tier 1 = 32 endpoint encoders/decoders, Tier 2 = 16 fusion lanes, Tier 3 = 8 tensor-prep stages + deterministic jukeboxes, Tier 4 = 4 hypothesis interpretations (Structural/Causal/Counterfactual/Verification), Tier 5 = 2 manifolds (Algorithm, Equation/Constraint), Tier 6 = 1 canonical mind node.
- Node architecture N_i: canonical packet input (target R^788 continuous latent + discrete projections), identical parameter structure per node (~531,600 params), specialization by topology position only; dual-branch forward + inverse GRU cells (K=3), SiLU, cross-coupling matrices, learned linear fusion projection; three discrete heads: V3 ternary {-1,0,+1} orientation, V5 {-2..+2} heuristic, V7 {-3..+3} formal lattice/verification; invariant state contract.
- Diagrams carry their own honest gap note: current reference prototype uses R^10 input, hidden_dim=24, single recurrence path, one 7-class head, mean reduction; target spec above; DESIGN.md holds gap analysis (not yet shared).
External validation: none yet — held open, unverified, per maybe(t). OCR performed on box metal; some fine labels may be garbled at image resolution; page held at page resolution.

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Original source: source:resident:b1dd2c6a5b214f21c1f94714af75c2d1a6dc6c7eed2a223f8185ce270e01c966