OPEN RESEARCH4 October 2026Download Markdown

Generated results

All rates describe synthetic test opportunities, NOT historical flight risk. Seeds, settings, complete Boolean suites and analytic comparisons are in study.json.

Experiment Trials Latent triggers Navigation losses Detected Rate Wilson 95% interval
million_legacy 1,000,000 0 0 0 0.000000% [0.000000%, 0.000384%]
expanded_faithful 100,000 25,005 25,005 25,005 25.005000% [24.737567%, 25.274354%]
rare_tail_faithful 200,000 96 96 96 0.048000% [0.039312%, 0.058607%]
expanded_idealized_stub 100,000 25,005 0 0 0.000000% [0.000000%, 0.003841%]
expanded_packet_oracle 100,000 25,005 25,005 0 0.000000% [0.000000%, 0.003841%]
expanded_alignment_removed 100,000 25,005 0 0 0.000000% [0.000000%, 0.003841%]

Conditional detection budgets

Assumed per-test detection p Tests for at least 95% detection probability
0 No finite budget
1e-06 2995731
0.0005 5990
0.01 299
0.25 11

Multivariate coverage

Suite Cases Pair coverage Navigation losses Detected
exhaustive 256 100% 4 2
greedy_pairwise 8 100% 0 0
pairwise_blind_witness 8 100% 0 0

The blind witness is deliberately constructed from non-failing candidates. It proves that 100% pairwise coverage does not imply detection; it does not estimate typical pairwise effectiveness.

Barrier ablations

Change Failed units Navigation available Unsafe command Safety oracle detects
baseline_identical_pair 2 False True True
one_unit 1 False True True
three_identical_units 3 False True True
remove_postlaunch_alignment 0 True False False
guard_alignment_conversion 0 True False False
isolate_alignment_exception 0 True False False
reject_diagnostic_frame 2 False False True
idealized_sri_stub 0 True False False

Detection prerequisites: controlled removals

One known injected case is distinct from a random campaign. The design stays vulnerable except for the guarded negative control. The existing matched Monte Carlo runs establish support/harness/oracle contrasts; this experiment adds deterministic process controls, not random draws.

Control Actual navigation loss Injected case detected Random budget P(at least one detection) 95% target met Replay retained Modeled response blocks
All prerequisites present True True 5,990 95.000084% True True True
No overflow exposure False False 5,990 0.000000% False False False
Wrong lifecycle only False False 5,990 0.000000% False False False
Idealized SRI stub True False 5,990 0.000000% False False False
Packet-only oracle True False 5,990 0.000000% False False False
Too little random budget True True 10 0.498876% False True True
No replay evidence True True 5,990 95.000084% True False False
No enforced response True True 5,990 95.000084% True True False
Guarded negative control False False 5,990 0.000000% False False False

Controlled prerequisite removals

The complete seven-switch grid has 128 distinct configurations: 32 actual navigation losses, 8 injected detections, 4 replayable findings, and 2 modeled response blocks. 4 configurations meet the conditional 95% discovery target; 1 also retains evidence and enforces the modeled response. These counts enumerate a designed truth table, not an empirical readiness score, probability of human response, or AI discovery rate. With the specified rare-tail detection p=0.0005, the minimal 95% budget is 5,990. A smaller budget can still detect a fault; it does not meet that target. Replay retention and response policy are downstream of detection. The executable core has not changed. The protected negative control prevents this modeled failure even with all test prerequisites enabled. Exact equations, replayable cases, and all rows are in study.json; see methods and the future-testing guide.

Interpretation

The expanded, idealized and packet-oracle runs use identical inputs and seeds. A stub removes the modeled bug; a weak oracle conceals the failure. For zero detections in 1,000,000 iid trials, the exact one-sided 95% upper bound is 2.99572778635e-06 under that test distribution only. For masked-oracle runs, an interval on detected events is not an interval on actual failures. No flight telemetry, original Ada binary, calibrated BH model, or blinded AI evaluation is present.

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