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Campaign session

01KWQD3Q5APTXZZHEM46HJRGWQ

finished 2026-07-04 20:28:53.290105+00:00 → 2026-07-04 21:15:19.132268+00:00 · 36 runs · supervisor: claude-code

“Seed replication 9/9: feature-type split (fingerprints break, kinematics transfer) is seed-robust; median degradation ratio 0.076, worst 0.120 — H6 supported in-silico with replication.”

Archive snapshot, as of 8 h 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
36/36 furnished-state runs staged and gated across 9 seed pairs, complete co-registered artefacts yes
Per-pair csi_feature_type_transfer reductions + aggregate persisted to the session reduction/ prefix yes
Feature-type split replicates 9/9: kinematic/fingerprint ratio median 0.076, worst 0.120 (< 0.5) yes
In-silico replication framing; D2xx real test on AX210/FeitCSI fleet remains; Intel 5300 grounding error corrected at prompt level yes

Synthesis

c-feature-type-transfer — session 01KWQD3Q5APTXZZHEM46HJRGWQ synthesis (seed-replication sweep)

Verdict: the feature-type split replicates in 9/9 seed pairs — Hypothesis 6's in-silico support is seed-robust, and session 1's headline ratio was the most favorable corner, not the typical value.

Design. Replication of session 01KWQAVE3C7J8BG57CF6J5A01D's batch-2 protocol (wardrobe-scale wood/metal furniture, two-wave crowd, 4 furnished states at Δlayout 0→1.05 m) over 3 walk seeds × 3 displacement seeds = 9 paired sweeps, 36 coupled exp-csi-crowd runs, all gates passed, complete co-registered artefacts throughout. Per-pair reduction with the same csi_feature_type_transfer estimator suite; outputs persisted under the session reduction/ prefix (sweep_curves.parquet, sweep_aggregate.json, fig_seed_sweep.png).

Result. The family ordering — kinematic ≪ both fingerprints — holds in every one of the 9 pairs. Held-out MAE degradation control→Δ=1.05 m: csi-fingerprint median +7.0 persons (range 4.3–20.8, always breaks); ble-fingerprint median +4.7 (range 1.5–10.0, always degrades, magnitude varying with the crowd realization); csi-kinematic median +0.34 (range 0.15–0.58, sub-person in every pair, absolute worst-case MAE 1.0). Kinematic/fingerprint degradation ratio: median 0.076, worst 0.120 — every pair at least 4× inside the 0.5 criterion. Session 1's 0.011 sat at the favorable extreme; the median is the citable number.

What this resolves from session 1's scope caveats. Seed-fragility: resolved — the split survives all 9 crowd × furniture-direction combinations (contrast with the T* seed-fragility that hit c-ble-drift-trigger). The BLE-fingerprint break-point (bracketed to (0.35, 0.70] m in session 1) is not universal: its degradation varies 1.5–10.0 across crowd realizations, so the "2× more robust than CSI fingerprint" characterization holds on ordering but not as a stable magnitude.

Framing. In-silico, same self-authored crowd + synthetic CSI/BLE as session 1; the replication buys robustness of the mechanism, not realism. Hypothesis 6 stands supported in-silico with seed replication; the D2xx real-room protocol on the AX210/FeitCSI fleet remains the field test. Hardware note: the H1/H5 hypothesis texts citing an "Intel 5300" testbed were corrected this session — the error was prompt-injected (_agents/experiment-designer.md, _agents/_shared/research-context.md asserted it as lab inventory); both prompts now name the deployed fleet (RPi5 + AX210/FeitCSI, ESP32-C5/S3, BLE beacons).

Session notes. 36 runs ≈ 37 min CPU of the 1.5 h budget. Critic pass skipped deliberately: this session is a replication of a design the session-1 critic already audited, with its findings (report ordering not ratio precision; surface the BLE nuance; persist reduction outputs) pre-integrated here. Remaining follow-ons: half-step displacement to characterize the BLE break-point distribution; python-ml domain-adversarial arm; the real-testbed instrumentation recommendation stands — log kinematic features as the drift-robust channel.

Attached runs

Run Gate Purpose Replay
38V5HTZS ✓ — replay
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5WHSVGYD ✓ — replay
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