Context embedding lab
Dual-space retrieval, tongue compression, and 21D state comparison. Best next step is replacing synthetic embeddings with a real encoder baseline.
SCBE research surface
Benchmarks, verification, and active research tracks
This section is the public proof surface for SCBE. It collects benchmark summaries, replication notes, mathematical framing, and experimental tracks so technical readers can inspect claims without forcing the homepage to carry the whole argument.
Benchmark board
Current public signals
The board below is the readable summary. The repo remains the audit surface. Use both together.
91 / 91
Adversarial benchmark blocked
Public benchmark headline for the landing page. Use this as the clean summary, then send technical readers deeper into methodology and replication notes rather than compressing everything into a single hero claim.
Context benchmark v2
Euclidean currently wins recall in the stricter synthetic benchmark. Tongue still wins compression structure and speed.
Flux benchmark v2
Methods are now distinct, deterministic, and target-relative rather than sign-of-delta theater.
Spectral benchmark
Amplitude and coherence are the strongest synthetic discriminators. Settling is weak and should stay secondary.
Confirmed output
Attack benchmark
Good public-facing proof surface. Strongest current result.
Active experiment
Context / dual-space retrieval
Promising, but still synthetic until a real encoder baseline is swapped in.
Method layer
Flux + spectral diagnostics
Useful as explainability instrumentation even before they become headline claims.
Interaction map
Where the variables couple
Explains the benchmark split and the real decision path through L3, L7, L12, and L13.
Community
Research Forum
Articles, discussions, and Polly AI assistant. Connected to Medium, GitHub Discussions, and the SCBE research domain.
Security Systems
Cybersecurity catalog
Full spec sheets for every detection, response, and counter-attack module. All priced by H(d,R) = R^(d²).
Active tracks
What this domain should grow into
Build outward in tracks: public summaries first, charts second, then live explainers when the underlying method is stable enough.
Flux trail
A-to-Z trajectories instead of A-to-B endpoints. Good for showing where embeddings oscillate, reverse, and settle.
Spectral telescope
Frequency, amplitude, coherence, spin, tongue dominance, and settling as six views on the same underlying signal.
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.
AetherBrain / PHDM framework
Two-layer intelligence model, deterministic control shell, and hyperbolic permission space.
Langues weighting system
The six sacred tongues, phi-weighting, and semantic decomposition.
Spectral map
Good bridge document between symbolic language, signal view, and experimental output framing.
Mathematics and philosophy
A public architecture note collecting the harmonic wall, Sacred Tongues, phi-oscillator, and the design rules that tie the math to the story.