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authorYurenHao0426 <Blackhao0426@gmail.com>2026-08-29 21:02:05 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-08-29 21:02:05 -0500
commit98a02d6577176e76597756649864a01e7dd04d52 (patch)
tree7c909b18499205e7267cce46e03aa5725e64a391 /README.md
parentf21cacfe50c03c52a572245566d8a561652ee85d (diff)
docs: record the calibration-budget stress result
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@@ -62,6 +62,9 @@ the largest size. SDIL reduces the excess final-error growth slope by 96.2%
and stable-failure growth by 89.5% relative to static calibration. At 2,048
edges it uses 23.3% fewer local updates to the censored target but 52.8% more
local scalar reads because each update includes a neutral measurement.
+Increasing static calibration from 16 to 256 instruction-off observations per
+edge does not repair the largest network: final error changes from 27.19% to
+30.31%, and the paired task-bootstrap interval favors the smaller budget.
Start with [`THREE_PART_EVIDENCE.md`](THREE_PART_EVIDENCE.md) for the evidence
map and [`CLLN_SCALING.md`](CLLN_SCALING.md) for the frozen scaling protocol.