SCBE RESEARCH
Public research layer

Keep the product page lean. Put the proof here.

This domain layer is for benchmark summaries, mathematical framing, and active experiment tracks. It separates what is public, what is replicated, and what is still exploratory.

Benchmark board

Current public signals

The board below is the readable surface. The repo remains the audit surface. Keep the run timestamps visible so newer evidence does not get mixed with older summary claims.

03 / 31

March 31 evidence snapshot

Updated with overnight benchmark suite: spectral sweep (8 configs), null-space ablation (A/B/C), industry comparison (vs ProtectAI), and 233K multi-view training dataset.

85.7% detection, 0% FP (E4 config) Spectral sweep best-balanced: semantic tongue coordinates + triple-weight remainder on 91-attack corpus. Full methodology
91 / 91 vs ProtectAI 62 / 91 Industry comparison: SCBE blocked all attacks with zero false positives.
F1: 0.481 → 0.813 Semantic projector orientation improved F1 by 69% on 260-sample adversarial benchmark. Anchor result for pump architecture.
504-bit trichromatic state IR + Visible + UV hidden-band governance. 5/5 forgeries caught even when all visible signals matched.
233K multi-view SFT pairs Binary-first training stack: L0 substrate (9%) + L1 coordination (11%) + L2 orientation (31%) + L3 expression (49%). HuggingFace
Confirmed output

Strict isolation training run

Latest Kaggle plus local SFT pipeline snapshot, with the blind holdout left outside training.

Overlap harness

Hybrid scorecard

Shows what the classifier, gate, and trichromatic layer each contribute on the same attack set.

Structural packet

Trichromatic governance

IR, visible, and UV hidden-band diagnostics presented as measured structure, not finished storefront claims.

Interaction map

Where the variables couple

Explains the benchmark split and the real decision path through L3, L7, L12, and L13.

Measured runs

Public entry points for the newest evidence

These are the March 30 pages that turn local logs and JSON artifacts into readable public research surfaces without hiding the weak spots.

Case studies

Applied research with measured results

These pages apply the 14-layer pipeline to real multi-agent architectures and adversarial scenarios, showing where the math provides measurable protection.

Deep Archive

The Hard Math of Aethermoor.

Ground-level specifications, ternary logic, and architectural proofs.

Quasi-Voxel Ternary Storage

90KB technical specification on non-binary data storage in hyperbolic security manifolds.

View Spec →

Null-Space Hypothesis

Bridging the gap between the Seven Sacred Codices and triadic harmonic security math.

Read Hypothesis →

DARPA Security Standards

SCBE's alignment with 2026 DARPA AI security programs and global governance benchmarks.

See Standards →
Active tracks

Exploratory tracks still worth growing

Keep these separated from the measured pages above. They are still useful, but they are research tracks rather than the latest public evidence packet.

History + Bible theory packet

Bounded training packet built from the local theory corpus around witness, covenant, genesis control, memory, and sanctuary-building. Research language stays separated from implemented claims.

theory corpus history bounded training

Context embedding lab

Dual-space retrieval, tongue compression, and 21D state comparison. Best next step is replacing synthetic embeddings with a real encoder baseline.

Euclidean Hyperbolic Dual-space 21D

Flux trail

A-to-Z trajectories instead of A-to-B endpoints. Good for showing where embeddings oscillate, reverse, and settle.

Positive Negative Neutral Fluctuating

Spectral telescope

Frequency, amplitude, coherence, spin, tongue dominance, and settling as six views on the same underlying signal.

FFT Amplitude Coherence Tongues
Math stack

Public entry points into the harder material

Link people from summaries into the real documents rather than trying to make the landing page carry the full weight.

Skill vault

Sphere Grid skill map

A 3D navigation surface for the Codex skill library. Click spheres to open the vault notes and then copy an invocation prompt for local Llama (Ollama) or Hugging Face inference.