Xctopus: Autonomous Geometric AI EngineAI Engine

Geometric Modeling for VUS Disambiguation(Alpha Toy Build)Architect: Xctopus-Team+

ALPHA VERSION: This lab utilizes public datasets from ClinVar and BRCA1 for stochastic testing and research validation. All integrated data is public domain.

Manifold Control

Geometric Protocols

I. Architectural DNA

The 4 Geometric Pillars▼

1. Incremental Atomic Learning

Evolution via "Zero-Batch Training".

2. Anchor Topology

Stabilization via invariant coordinates.

3. Structural Decoupling

Transformer as contrast transducer.

4. Bayesian Credibility

Real-time VUS uncertainty metrics.

II. Toy Simulation Protocols

Visual Layers

Show LabelsShow Semantic Edges

Physics Engine (V2.1)

Manifold Expansion1.0x

Separate by Maturity (Z-Axis)

Semantic Engine: V2.1 Physics
Kernel: React-Three-Fiber
Sync Status: Live Manifold

Expert System

Consultation

Select a node to inspect its atomic properties.

III. Expert Consultation

Model: Xctopus-Toy-v1 (CLI)Params: 82MContext: 1024 Tokens

Training: ClinVar (Subset)STATUS: LOCAL / OFFLINE