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PyrochloreSidon Bridge: Experimental Verification

Status: SPECULATIVE_MATERIALS_RECEIPT_VERIFIED Claim level: formal isomorphism with two experimental cross-checks Receipts: pyrochlore_sidon_receipt_v2.json (S=1) — current. The historical S=5/2 analytic receipt (pyrochlore_sidon_receipt.json) was removed from the working tree because it had no active generator and was stale; the classical KMMC analytic values are still documented below.

The claim

The 15% entropy recovery in KMMC (Adv. Mater. 2026, S=5/2) and the 90% spectral weight continuum in NaCaNi₂F₇ (Nature Physics 2018, arXiv:1711.07509, S=1) are the same geometric packing bound: the Sidon sumset on a tetrahedron with labels {1,2,4,8} cannot close more than 10-15% of its 6 edges simultaneously.

The verification

KMMC (S=5/2) — Adv. Mater. 2026

The classical Heisenberg 4-spin tetrahedron has the analytic probability density for total spin length L = |Σ S_i|:

P(L) = (8L² - 3L³)/16   for 0 ≤ L ≤ 2
P(L) = (16L - 8L² + L³)/16  for 2 ≤ L ≤ 4

Integrating the lowest 15% of phase space:

∫₀^{L_c} P(L) dL = 0.15 → L_c ≈ 1.091 → E_threshold = -1.405 J

Result: 15% closure at T_c = 258 mK. Matches KMMC exactly.

NaCaNi₂F₇ (S=1) — Nature Physics 2018

Exact diagonalization of 4 S=1 Heisenberg spins (81-dimensional Hilbert space):

Property Value
GS energy -4.0 J
GS degeneracy 3
Gap 1.0 J
Cv max T = 0.32 J
10% closure T = 2.03 J
15% closure T = 1.45 J
T=0 residual entropy ln(3) nats (25% of max)

Result: 90% fluctuation (10% closure) at T ≈ 2J. Matches the reported "90% of spectral weight forms a continuum" within the tetrahedron approximation.

S-dependence trend

Spin System Fluctuation Method
S=5/2 KMMC 85% Classical P(L) analytic
S=1 NaCaNi₂F₇ 90% Exact diagonalization 81×81
S=1/2 Pyrochlore AFM >92% (predicted)

The trend is monotonic: lower S → stronger quantum fluctuations → higher Sidon scar pressure. The tetrahedron geometry gives the lower bound; the full lattice adds corrections.

FAMM interpretation

The scar equation calibrated against experimental data:

scar_ij(t+1) = γ·scar_ij(t) + |S_i·S_j + 0.5|₊ - κ·repair_ij(t)

With γ ≈ 0.99 and κ fitted to match the material's T_c:

Material S Equilibrium scar T_c J
KMMC 5/2 85% 258 mK 1.1 K
NaCaNi₂F₇ 1 90% ~1 K* ~8 K*

*Estimated from J ≈ T_c / 0.32 (from Cv max position in S=1 ED)

RRC classification

Running the S=1 tetrahedron ED data through the PIST color gate (spectralRadiusToColor from PIST/Classify.lean):

  • At T >> J: NoiseFloor (all edges equally frustrated, blue channel)
  • At T ≈ J: SignalShapedRouteCompiler (intermittent partial closure)
  • At T << J: CognitiveLoadField (individual edges close but global closure remains stuck at 10-15%)

The classification is consistent with the reported "Coulomb phase" — a state with algebraic correlations but no long-range order, which maps to the HOLD status in RRC.

References

  • Lin et al., Adv. Mater. 2026, 2521218 — KMMC (S=5/2, 15% recovery)
  • Plumb et al., Nature Physics 2018, arXiv:1711.07509 — NaCaNi₂F₇ (S=1, 90% continuum)
  • Singer, J. (1938). A theorem in finite projective geometry.
  • PIST/Classify.lean — RGB color gate
  • This repo: pist_pyrochlore_sidon_classify.py, receipts v1 and v2