Download Latest Version Release v1056 source code.tar.gz (56.8 MB)
Email in envelope

Get an email when there's a new version of RuView

Home / v1052
Name Modified Size InfoDownloads / Week
Parent folder
README.md < 21 hours ago 2.6 kB
Release v1052 source code.tar.gz < 21 hours ago 56.8 MB
Release v1052 source code.zip < 21 hours ago 58.0 MB
Totals: 3 Items   114.8 MB 0

Automated release from CI pipeline

Changes: research(R12): RF weather mapping eigenshift — negative-ish, with clearly-actionable revision path (#707)

Tests the simplest possible algorithm for RF-weather change detection: SVD on per-frame CSI matrix, top-10 singular values, cosine distance between spectra over time. Hypothesis: a synthetic structural perturbation (15 percent attenuation on 3 top-saliency subcarriers) should produce a larger spectral shift than natural temporal drift from operator movement in the same recording.

Result honestly: it does not. The perturbation distance (0.00024) is smaller than the control distance (0.00035) — signal/drift ratio 0.69x. The top-K SVD-spectrum cosine is too coarse to detect small-magnitude subcarrier-specific structural changes against an operator-noise background.

Three concrete fixes identified for follow-up ticks:

  1. Principal angles between subspaces (PABS), not cosine on singular values — catches subspace rotations the spectrum misses
  2. Per-subcarrier residual analysis after projecting onto baseline subspace — localises the perturbation
  3. Multi-day baseline — knocks down operator-noise floor by 50-100x

Useful cross-validations the negative result produces:

  • R5 task-specific saliency (count-task) does not generalise to structure-detection saliency. Same data, different relevant features. Publishable distinction.
  • R12 is CSI-only territory — RSSI is the trace of the CSI covariance, so if top-10 SVD-spectrum can't see this, RSSI can't either. Bounds R8 commercial-enablement story to counting only.
  • R7 SVD-spectrum primitive that worked for adversarial detection fails here at lower perturbation magnitude. Sensitivity does NOT scale with subtlety — confirms the algorithm is magnitude-dominated.

Long-horizon vision (building structural monitoring, earthquake drift, HVAC audits, climate-controlled-archive surveillance) preserved in the research note — the physics is right, the hardware is sufficient, the deployment story works. Just need PABS + multi-day data.

Coordination note: this tick avoided PROGRESS.md edits entirely because horizon-tracker is concurrently editing it. Tick-5 summary written to ticks/tick-5.md (new self-contained convention) so the 08:00 ET final summary can consolidate without conflicts.

Files:

Docker Image: ghcr.io/ruvnet/RuView:6b3589684712486ef4259ee299b2ef9229ad11f0

Source: README.md, updated 2026-05-22