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authorYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 00:00:34 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-04-08 00:00:34 -0500
commit9d0e4901a82763ea3ebc57eea152a730330d4991 (patch)
tree3679039286e4b469a153e232d50ce2eb52ce7d81 /protocol
parent503bb06ed9ab00cfa72d2d9a532b0caf10cb83b3 (diff)
EVIDENCE_SUMMARY: add (d) threshold sensitivity finding (round 18)
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| evidence | result | reproduce |
|---|---|---|
| Threshold sensitivity sweep | (a) **63× separation gap**, (b) **24,338× separation gap** between healthy and degenerate | `python -m protocol.examples.threshold_sensitivity` |
-| Default thresholds | sit cleanly in the middle of substantial margins | (in sensitivity output) |
+| Default thresholds (a)+(b) | sit cleanly in the middle of substantial margins; verdicts robust to ±50% perturbation | (in sensitivity output) |
+| Diagnostic (d) frozen-baseline threshold | **NOT robust** — penalized DFA at λ=1e-2 fires at 2 pp threshold, passes at 1 pp threshold; at λ=1e-3 (1 seed) margin is +2.3 pp which passes at 2 pp. The (d) verdict depends on both threshold choice and λ choice. | `python -m protocol.examples.threshold_d_sensitivity` |
+| Round 18 lesson | Soften language: "after the penalty correction, the depth contribution is at most 1.4 pp above the random-blocks baseline at λ=1e-2 — much smaller than BP's +26 pp gap over shallow", NOT "the deep blocks are passive". | n/a |
## §3.6 Cross-width validation (d=512)