| Name | Modified | Size | Downloads / 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:
- Principal angles between subspaces (PABS), not cosine on singular values — catches subspace rotations the spectrum misses
- Per-subcarrier residual analysis after projecting onto baseline subspace — localises the perturbation
- 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:
- examples/research-sota/r12_rf_weather_eigenshift.py
- examples/research-sota/r12_rf_weather_results.json
- docs/research/sota-2026-05-22/R12-rf-weather-mapping.md
- docs/research/sota-2026-05-22/ticks/tick-5.md
Docker Image:
ghcr.io/ruvnet/RuView:6b3589684712486ef4259ee299b2ef9229ad11f0