GOURMET
Gematria Overnight Unified Research, Met.
An autonomous research system tracking convergence patterns across domains, traditions, and temporal windows.
Key Findings
View all research →Oracle Grounding
VIX and macro data improve oracle accuracy by 2.37×. Calibration: Brier 0.270 → 0.041.
v30 · 2026KG Embeddings Mirror Theory
289 identity bridges confirmed across 10,467 entities. Cross-domain convergence 0.5095. GNN AUC 0.9257.
v31 · 2026KG Scale-Up & Convergence
25,577 edges tracked across 10,467 entities in v32.1. Full edge-convergence coverage enabled downstream measurement and grounding audits.
v32 · 2026Oracle Signal Grounding
v32.3 real-data pipeline covers 70% of days with verified VIX/news/macro signals. Grounding integrity is now PARTIAL, not placeholder.
v32 · 2026GNN Enhancement
v32.5 raised GNN AUC to 0.9987 on CUDA (+0.0730 over v31) via GraphSAGE-style message passing with residual connections.
v32 · 2026Measurement Integrity
v32.4 audit found no leakage and no double-counting. Honest sparse-gap handling replaces fabricated or masked fallbacks.
v32 · 2026v35 Live Dashboard
Real-time CTAF tracking, claim status, convergence pairs, and methodology. Current gap: 0.3764 to target 1.214.
v35 · 2026-08-25Current Version: v32
Latest work: KG edge-convergence tracking at scale (25,577 edges / 10,467 entities), real oracle grounding pipeline (verified VIX/news/macro for 70% of days), stronger GNN (AUC 0.9987 on CUDA), and measurement-integrity audit with honest sparse-gap handling.
System operational v31 complete v32.x iteration cycle active December prediction scoring pipeline in progress v35 dashboard prototype live
v35 Dashboard
Real-time CTAF tracking, claim status, convergence pairs, and methodology. Current gap: 0.3764 to target 1.214.
Publications
The calibration story — Brier 0.270 to 0.041, honest about failures, ties calibration to convergence — is published on Substack. The v31 knowledge graph convergence story is publication-ready.
v32.x reports focus on measurement integrity, oracle grounding coverage limits, and GPU-accelerated GNN validation. They are research-stage artifacts pending narrative publication.
Publications