Land only the offline-validatable half of R7 (instrument-validation gate items
3 and 4): the detectors the gate calibrates on synthetic fixtures, never on
confirmatory-cell data. Pure stdlib functions over in-memory series — no pcaps,
no engine, no traffic, no VM fabric.
- analysis/detectors.py: shannon_entropy_bits (RQ2 anonymity-set entropy),
pearson/score_matrix/auc/linkage_auc, bridge_correlation_auc (RQ1
linkability scorer), and synthetic_bridge_fixture (seed-deterministic
known-linked / known-unlinked ground truth via the R1 SorRng).
Calibration green: entropy returns exactly log2(N) for N equiprobable senders
(gate item 4); a known-linked control pair scores AUC=1.0 and the unlinked
estimator is unbiased at chance (ensemble mean over 40 seeds = 0.498 ~ 0.5,
gate item 3). Detectors are calibrated on synthetic fixtures only — no fitting.
The traffic-moving R7 pieces (churn.py VM spin/kill, live selector rebuild loop,
metrics.json emission) are HELD for R4/R6 + a live grid and are absent here.
Python SOR suite 66 passed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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