20 lines
1.6 KiB
Markdown
20 lines
1.6 KiB
Markdown
---
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description: Use advanced RuView capabilities — multistatic sensing, cross-viewpoint fusion, RF tomography, persistent field model, intention signals, adversarial detection, mesh security.
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argument-hint: "[multistatic|cross-viewpoint|tomography|field-model|intention|adversarial|security]"
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---
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# /ruview-advanced
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Drive RuView's research-grade / multi-node features.
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1. Invoke the **`ruview-advanced-sensing`** skill.
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2. Route on `$ARGUMENTS`:
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- **multistatic** (ADR-029) — `wifi-densepose-signal/src/ruvsense/multistatic.rs`, `phase_align.rs`, `coherence_gate.rs`; neighbours' APs as illuminators.
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- **cross-viewpoint** (ADR-016 viewpoint) — `wifi-densepose-ruvector/src/viewpoint/`; needs 2+ nodes; `node scripts/mesh-graph-transformer.js`.
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- **tomography** — `ruvsense/tomography.rs` (ISTA L1 voxel solver) + cross-viewpoint geometry; through-wall volumetric.
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- **field-model** (ADR-030) — `ruvsense/field_model.rs`, SVD room eigenstructure persisted to RVF (Cognitum Seed); residual = perturbation.
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- **intention** — `ruvsense/intention.rs`, 200–500 ms pre-movement lead signals.
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- **adversarial** — `ruvsense/adversarial.rs`, physically-impossible-signal + multi-link consistency checks.
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- **security** (ADR-032) — mesh hardening: adversarial gate + coherence quarantine + Ed25519 witness chain; run a security review (`docs/security-audit-wasm-edge-vendor.md`), see `/ruview-verify`.
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3. Validate: `cd v2 && cargo test -p wifi-densepose-signal --no-default-features && cargo test -p wifi-densepose-ruvector --no-default-features`, then `python archive/v1/data/proof/verify.py`.
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