
R. Kulkarni
Table 4
Kinematic parameters of the SSM lattice simulation. All values are geometri-
cally or thermodynamically determined.
Parameter Value Derivation
Unitary metric (𝐿) 1.0 Invariant relational distance
Lateral height
3∕2 ⋅ 𝐿 ≈ 0.866 𝐿 Equilateral triangle altitude
Lift height
2∕3 𝐿 ≈ 0.816 𝐿 Regular tetrahedron altitude
Lift probability 𝑒
−3
≈ 4.98% Topological tunneling
Proximity bond 1.05 𝐿 Regge deficit (𝛿 ≈ 7.36
◦
)
Hard shell (𝑅
ex
) 0.95 𝐿 Symmetric exclusion
Geometric cutoff 𝐿∕
3 ≈ 0.577 𝐿 Circumradius of unitary triangle
vacuum [33] establishes that a quantum field can become trapped in
a metastable phase whose decay proceeds through nucleation events
governed by topological barriers. The SSM combines these two ideas:
the cosmological vacuum begins in a metastable 𝐾=4 tetrahedral phase,
transitions to the 𝐾=12 FCC ground state through a Kepler-bound
saturation process, and leaves behind the trapped extra nodes of an
incomplete crystallization as the topological defects we identify with
baryons.
11. Conclusions
Matter is spacetime that did not finish crystallizing. A single extra
node trapped in a tetrahedral void of the 𝐾=12 FCC vacuum lattice
strictly recovers fractional quark charges, three color degrees of free-
dom, linear confinement, and the proton-to-electron mass ratio — all
emerging organically from the unadjusted geometry of close-packed
spheres. The framework makes clear, falsifiable predictions: no isolated
quarks can propagate, no fourth color charge can exist, and the first-
shell baryon spectrum is exhausted by the four configurations 𝑊 ∈
{0, 1, 2, 3} corresponding to 𝛥
−
, neutron, proton, and 𝛥
++
. The model
is consistent with all current experimental bounds on Lorentz violation
and reproduces the linear-confinement piece of the Cornell potential.
The companion paper [2] reaches 𝑚
𝑝
∕𝑚
𝑒
= 1836 by a different route
(fault-tolerant verification cost in a CSS code on the same lattice);
the two derivations are arithmetically equivalent because 𝐾 = 4𝑐
skew
in the cuboctahedral geometry, and the structural meaning of that
equivalence is left for future work.
Declaration of competing interest
The authors declare that they have no known competing finan-
cial interests or personal relationships that could have appeared to
influence the work reported in this paper.
Appendix. Kinematic parameters and replication conditions
This appendix specifies the kinematic parameters of the simulation
reported in Section 2.3 and the conditions under which its quantitative
claims (Table 2 and Fig. 2) are reproduced. The kinematic operators
(stitch and lift) and their geometric origins are defined in Section 2.3;
this appendix collects the operational parameters in a single table for
ease of reference.
A.1. Kinematic parameters
See Table 4.
A.2. Replication
The kinematic rules described in Section 2.3 (Bell-pair seed; stitch
and lift operators with relative amplitude 𝑃
lift
= 𝑒
−3
; proximity bond-
ing within 1.05 𝐿; exclusion radius 𝑅
ex
= 0.95 𝐿), together with the
parameter values in Table 4, fully specify the simulation. Running the
resulting graph-growth procedure at 𝑁 = 1000 over 30 random seeds
reproduces the data in Table 2: 𝐾=12 saturation of 25.4 ± 5.4%, mean
coordination
𝐾 = 8.90±0.26, and shape isotropy 𝜆
min
∕𝜆
max
= 0.54±0.15.
The finite-size scaling exponent is 𝛼 = 6.8 ± 0.6 (Eq. (2)). A sweep over
𝑅
ex
∈ [0.50, 1.02] at fixed 𝑁 = 500, 𝑃
lift
= 0.05 reproduces Fig. 2: the
sharp phase transition at 𝑅
ex
= 𝐿∕
3 and the wide stability plateau in
[0.58, 0.99]. All quantitative claims in Section 2.3 reduce to these two
scans.
A reference implementation of the algorithm is available at
ssm_sim.py (lattice generation and saturation analysis); the exclusion-
radius sweep is performed by plot_rex_sweep.py. The implemen-
tation is provided as a verification aid; the manuscript itself fully spec-
ifies the algorithm and any equivalent implementation will reproduce
the results within the reported statistical uncertainties.
Data availability
All kinematic parameters and replication conditions for the simu-
lation results in Section 2.3 are given in Appendix. A reference im-
plementation of the algorithm is available as ssm_sim.py (the lattice
generator and saturation analysis used for Table 2) and plot_rex_sweep.
py (the exclusion-radius sweep used for Fig. 2). The bulk-interior
diagnostic reported in Table 2 is computed by ssm_bulk_analysis.py,
which re-analyzes the simulation output to extract bulk-restricted co-
ordination statistics. The interactive 3D visualizations are available
at https://raghu91302.github.io/ssmtheory/ssm_regge_deficit.html and
https://raghu91302.github.io/ssmtheory/ssm_quark_structure.html.
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