HypercubeCore

Route arbitrary data streams into a fully generalized 4D renderer. Use the mapper configuration to bind channels to the six rotational planes, morphing controls, and lighting parameters, then ignite Sonic Geometry Resonance to hear the polytopal motion fold into harmonics.

Select a preset mapping to remap incoming channels to uniform controls.

Live overview of the latest data channels. Highlighted bars track the default rotation feeds (channels 9–14). Configure PPP_CONFIG.monitor to adjust smoothing, value ranges, highlight sets, or disable the monitor.

The most recent session analysis will appear here once the tracker initializes.

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Capture streamed data arrays with timestamps and optional uniform snapshots. Configure limits via PPP_CONFIG.recorder.

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Load a recorder JSON export to replay captured channel streams. Press Space to toggle playback, use ←/→ or Shift+←/→ to step through frames, or drag the timeline slider to navigate.

Live stream idle.

No live telemetry yet.

Streams quaternion frames directly into PPP. WebSocket feeds expect JSON frames with matrix or planes fields plus optional channels. Serial ingestion reads newline-delimited JSON and normalizes values before they hit the mapper, recorder, sonic engine, and PPP APIs.

Enable to translate polytopal motion into double-quaternion harmonic descriptors with optional resonance audio while the spinor coupler, resonance atlas, signal fabric, transduction grid, metric manifold, topology weave, flux continuum, continuum lattice, and constellation field map the 4D rotation core into harmonic lattices. Streams gating sequences, Hopf fiber telemetry, spinor phase orbits, resonance vectors, carrier matrices, manifold metrics, topology braiding analytics, flux-continuum alignments, lattice synergy reports, constellation dispersion metrics, and bitstream lattices for robotics or multimodal transformers even when muted.

Dual stream couples resonance audio with quaternion bridges, spinor harmonic lattices, resonance atlas payloads, the spinor signal fabric, transduction grids, metric manifolds, topology weaves, flux continua, continuum lattices, constellation telemetry, and gate density metrics; silent analysis shares the same telemetry without touching the AudioContext—ideal for multimodal transformers.

Initializing renderer…
Awaiting data…

Captured samples: 0 · Toolkit exports synchronized channel values, uniform snapshots, sonic telemetry, and optional overlay captures for dataset tuning loops.

Execute the full calibration plan, aggregate parity metrics between the WebGL uniforms and sonic telemetry, and export a manifest tuned for multimodal training datasets.

No dataset captured yet.

Narrative telemetry summarizing fidelity, parity drift, and recommended follow-ups for the multimodal MVP dataset.

  • Run the dataset plan to generate insights.

Customize scripts/defaultMapping.js or register runtime presets to integrate additional sensors. The DataMapper supports scalar/vector uniforms, range remapping, easing, per-channel smoothing, and indexed aggregation strategies (average, weighted, RMS, median, and more). Provide a window.PPP_CONFIG object before loading this bundle to inject custom mappings or presets, initial palette overrides, uniform defaults, channel presets (up to 32 mirrored into the shader), or lifecycle callbacks. Configure the channel monitor via PPP_CONFIG.monitor or subscribe to onMonitorUpdate to tap the live average and peak statistics. Runtime helpers (e.g. PPP.setMonitorHighlight()) are available after initialization. Supply PPP_CONFIG.developmentLog (or call PPP.recordDevelopmentEntry()) to customize the development track timeline and capture commentary per session. Use the JSON editor above to import presets during runtime or to export and tweak the active mapping.