github ruvnet/RuView v1039
Release v1039

latest releases: v1056, v1055, v1052...
6 hours ago

Automated release from CI pipeline

Changes:
research(sota): kick off SOTA research loop + first R5 saliency measurement (#702)

Sets up docs/research/sota-2026-05-22/ as the autonomous-research
output dir, with PROGRESS.md as the canonical 15-vector research
agenda spanning spatial intelligence, RF features, RSSI-only, and
exotic/long-horizon verticals. Cron d6e5c473 (*/10 * * * *) picks
threads from this file and self-terminates at 2026-05-22 08:00 ET.

First concrete contribution this tick — R5 subcarrier saliency:

  • examples/research-sota/r5_subcarrier_saliency.py: pure-numpy port
    of the count cog's Conv1d encoder + count head, computes per-
    subcarrier input×gradient saliency via central-difference. 128
    samples × 56 subcarriers × 2 forward passes/subcarrier ≈ ~3 s on
    CPU, no GPU or framework dependency.
  • docs/research/sota-2026-05-22/R5-subcarrier-saliency.md: research
    note with motivation, method, novelty argument, and the first
    measured ranking. Top-8 subcarriers for cog-person-count v0.0.2:
    [41, 52, 30, 31, 10, 35, 2, 38]. Max/mean ratio 2.85x.
  • v2/crates/cog-person-count/cog/artifacts/saliency.json: machine-
    readable per-subcarrier saliency + top-K lists, so future-tick
    experiments (retrain at K=8/16/32) consume it without re-running.

Key insight from the first measurement: top-8 saliency is band-
spread
(indices span 2-52), not concentrated. This directly raises
R8's (RSSI-only) feasibility ceiling, because RSSI is a band-
aggregate — it retains the integral of a band-spread signal. First-
order estimate: RSSI-only should hit ~60% of full-CSI accuracy for
the count task. R7 (adversarial defence) inherits a concrete defender-
priority list: corroborate these 8 subcarriers across nodes.

This commit is the first of many short, focused contributions over
the next ~12 hours. PROGRESS.md is the canonical pointer for the
next tick to pick up the next thread.

Docker Image:
ghcr.io/ruvnet/RuView:a85d4e31e4c5ea6de008dfc741de1906e718ab74

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