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48 test points across K=1..4 and 12 label sets (Sidon power sets, Sidon constructions, dense non-Sidon, prime-based). Results: K=1: ρ=-0.85 (products→SLOS), ρ=-0.94 (SLOS↔tensor) K=2: ρ=-0.88 (products→SLOS), ρ=-0.94 (SLOS↔tensor) K=3: ρ=-0.93 (products→SLOS), ρ=-0.98 (SLOS↔tensor) K=4: ρ=-0.93 (products→SLOS), tensor N/A (K>3) Key: all Spearman correlations are negative and strengthen with K. Sidon sets produce 1.5-2.3× higher KL divergence than same-size non-Sidon. Primes are intermediate: partially Sidon-like but weaker. DAG: 192 nodes, 96 edges, all individually checkpointed for resume. Resume with: python3 scripts/perceval_slos_verify.py --resume Receipt: docs/research/SLOS_SIDON_VERIFICATION_RECEIPT.md Build: N/A (Python/perceval verification, no Lean build) |
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| .. | ||
| braid_group_action.md | ||
| CAPABILITY_GRID_MAPPING.md | ||
| COLLECTIVE_INTELLIGENCE_OPTIMIZATION.md | ||
| COMPRESSION_HONEST_FINDINGS.md | ||
| FIXEDPOINT_BRIDGE_DESIGN.md | ||
| INVARIANT_COMPUTATION_GEOMETRY.md | ||
| iteration_dag.md | ||
| iteration_regime.md | ||
| MERGED_O1_TRANSFORM.md | ||
| O1_TRANSFORMS.md | ||
| OCTAGON_PRINCIPLE.md | ||
| REACTION_PRIMES.md | ||
| sidon_preservation_creation.md | ||
| SLOS_SIDON_VERIFICATION_RECEIPT.md | ||
| unified_crt_torus_dag.md | ||