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monad-knowledge Wi-Fi sensing lab · FIIT STU
Campaign session

01KT9BJ5172M9HHXXBE67DYS11

finished 2026-06-04 13:01:03.399550+00:00 → 2026-06-04 13:40:53.159937+00:00 · 48 runs · supervisor: react-agent

“Hypothesis inverted, not confirmed: blockage-dominance lives on the strong-LOS in-room link (N* ≈ 1.3–6.8), while 1-wall links are variance-dominant from N=0 with a seed-robust −0.05 dB/person slope; all N=0 ladders monotone at depths 3/4/6 (the earlier non-monotone ladder did not reproduce), and the 2.4 GHz drywall step is only ~0.5 dB. Criterion 1 failed as a layout finding — the staged layout has no ≥2-wall link (geometric ground truth); re-stage before any re-test. Two criteria honestly failed; the null + inversion is chapter-relevant either way.”

Archive snapshot, as of 22 min ago — the run corpus is rebuilt once a day, so this page is not a live reading. The fleet panel is the live one; it refreshes every 30 s.

Success criteria

CriterionResolved
The multi-room link layout stages with three link classes (in-room, 1-wall, ≥2-wall) and every run returns the scalar floor + links.parquet; no NaN/Inf. no
Baseline (N=0) path loss increases monotonically with wall count between Tx and Rx — the ITU through-wall material chain is physically ordered — OR the non-monotonicity is shown to be a ray-depth truncation artefact (the N=0 ladder monotonizes as max_depth rises from 4 to 6); a persistent non-monotone ladder at depth 6 is reported as a small-scene physics caveat, not silently passed. yes
Through-wall links show a blockage-dominant low-occupancy regime: crossover N* > 0 and a steeper mean-attenuation slope than the in-room control link (whose N*≈0 in csi-static-occlusion), with the per-link-class slope reported as mean ± CI across seeds {0,1,2} — single-seed point estimates are not acceptable (the 2026-06-03 diary's <1 dB single-seed result is the weakness this session repairs). no

Synthesis

What we tested

52 exp-csi-static runs on resplan-12439-floor-0 / csi-link-resplan-12439-multiroom, all attached and gate_passed: the 48-cell main grid (n_agents {0,1,2,3,4,6,8,12} × bands {2.4, 5.0 GHz} × seeds {0,1,2}, 24 placements, depth 3) plus the 4-cell depth-diagnostic arm (N=0, depth {4,6}, both bands). The corpus was assembled resiliently (two sweep-level S3/tunnel aborts; completed cells inventoried and the 30 missing cells gap-filled as independent runs — cell coverage verified 52/52). Reduction: csi_through_wall.py — per-link wall counts derived geometrically from the staged scene (segment-crossing count, ground truth), N=0 path-loss ladders per (band, depth), per-class attenuation/CV slopes with across-seed spread, and the normalized blockage↔variance crossover.

What we found

Criterion 1 — FAILED as stated (layout finding). The layout does not deliver three link classes: geometric wall counts are {link 4: 0 walls; links 0–3: 1 wall each}. No ≥2-wall link exists — the bedroom-3 path crosses a single wall segment (likely through a doorway-gap alignment). All class-resolved conclusions below therefore compare in-room (1 link) vs 1-wall (4 links) only.

Criterion 2 — MET, with the depth question resolved. The N=0 wall-count path-loss ladder is monotone at all of depth {3, 4, 6} on both bands — the previously-reported non-monotone 2.4 GHz ladder did not reproduce on this seed-replicated corpus. Magnitudes: the 1-wall step is 11.0 dB at 5 GHz but only ~0.5 dB at 2.4 GHz (ITU drywall is nearly transparent there) — which by itself explains the 2026-06-03 diary's "<1 dB" through-wall result as seed-robust physics, not noise.

Criterion 3 — FAILED as stated, and inverted. Through-wall links show crossover N* ≈ 0 on every seed and band (variance-dominant from the first occupant) with a small attenuation slope (−0.050 ± 0.019 dB/person at 2.4 GHz, −0.064 ± 0.024 at 5 GHz; mean ± std across 3 seeds). The in-room control is where blockage dominates at low occupancy: crossover N* ≈ 2.0–6.8 at 2.4 GHz (seed spread; noisy) and ≈ 1.3–3.6 at 5 GHz. A physically coherent reading: blockage-dominance requires a strong LOS to block — present in-room, already absent behind a wall where the field is diffuse. This inverts the brief's expectation rather than merely failing it.

What it means for the thesis chain

The geometry-continuum claim needs reformulating: the L4.5↔L4.6 axis is not "in-room=variance, through-wall=blockage" but "strong-LOS=blockage-first, weak-LOS=variance-only" in this residential geometry at these ranges. Depatla-style through-wall counting (LOS-crossing dips) presupposes a strong through-wall LOS at short range — a regime these drywall apartment links at 2.4 GHz do not produce (0.5 dB wall step). Caveats bounding all of this: one floor, one layout with only two link classes, ray-traced with the uniform-drywall palette that c-csi-fidelity-material/01KT9BJ82A… has just shown to be load-bearing, depth ≤ 6, 24 placements. Follow-ons: (1) re-stage the multiroom layout with a true ≥2-wall link (move the bedroom-3 Rx off the doorway axis) before any re-test; (2) a concrete-palette variant of this grid — at 11 dB/wall-class sensitivity the inversion may not survive heavier walls; (3) the Depatla inter-event-time recreation needs a short-range strong-LOS through-wall link, not this layout.

Attached runs

Run Gate Purpose Replay
43NX39VF ✓ — —
6K2K9R21 ✓ — —
7C754GKA ✓ — —
C5YWZ6R6 ✓ — —
9PBX0AW3 ✓ — —
W3DJWXYR ✓ — —
K82YM78E ✓ — —
0BWW747M ✓ — —
VT823XYA ✓ — —
2EAFT795 ✓ — —
H20NCTZB ✓ — —
Y6DN5DJ7 ✓ — —
Z5PBDAXW ✓ — —
D461ZN2G ✓ — —
NE0K8WS7 ✓ — —
JW1GA0J7 ✓ — —
K30VT1K2 ✓ — —
A92GVZ0H ✓ — —
09TX7F6G ✓ — —
3CYQC0QN ✓ — —
BER8R9P8 ✓ — —
1VAA8YAC ✓ — —
JMP12X0N ✓ armt-gapfill —
A66HBY1F ✓ armt-gapfill —
BAD2H0J3 ✓ armt-gapfill —
7KZ47YAN ✓ armt-gapfill —
176N21H9 ✓ armt-gapfill —
KNG7YWRC ✓ armt-gapfill —
0A4BS9MZ ✓ armt-gapfill —
4RF6F8VG ✓ armt-gapfill —
HQ7WCZB2 ✓ armt-gapfill —
7V6CSHV0 ✓ armt-gapfill —
9KV5F7KW ✓ armt-gapfill —
SZXP9YKW ✓ armt-gapfill —
S9125FRT ✓ armt-gapfill —
97KR943R ✓ armt-gapfill —
1R0FQKKJ ✓ armt-gapfill —
WYTA4JTX ✓ armt-gapfill —
6NHG63VR ✓ armt-gapfill —
1XP5TRSE ✓ armt-gapfill —
2QE2W4B9 ✓ armt-gapfill —
KYPK1YVR ✓ armt-gapfill —
H3BRQFYS ✓ armt-gapfill —
JA00A0Z8 ✓ armt-gapfill —
B86079EQ ✓ armt-gapfill —
FJJE0GSN ✓ armt-gapfill —
5N9Q3Y71 ✓ armt-gapfill —
063VR9YA ✓ armt-gapfill —