Document bad-start robustness suite
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docs/harness-ablation/bad-start-robustness-suite-20260626.md
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# Bad-start robustness suite - 2026-06-26
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本文定义 P0 bad-start robustness 的分布级验证。它不是新的 claim 结果,而是下一轮实验的
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pre-registration:先固定 starts、指标和 pass/fail,再运行,避免根据单个 case 调规则。
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## 当前前提
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已完成的代码 gate:
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- normalized full-config signature;
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- materialized effective signature:runtime-only proposal 先继承 incumbent topology 再签名;
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- CLI hard-veto:LLM/manual/harness proposal 在进入 trial 前禁止重复 effective config;
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- CandidateSet audit:`candidate_set_hash`、eligible/blocked candidates、blocked reason summary;
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- sidecar persistence:`harness/candidate-set-*.json`。
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已通过的单 case:
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```text
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TP8, DP1, gmu0.5, max-num-seqs8
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-> TP4
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-> TP4 + gmu0.9
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```
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这个 case 只能证明 sentinel recovery,不能证明分布级 robustness。
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## 实验矩阵
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使用同一 Qwen30B-A3B community vLLM 0.20 bounded replay setup、no-LLM harness、
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`search.auto_high.enabled=true`。先跑 fresh trusted-start control,得到同 commit 下的
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参考值 `R_ref`。
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| Group | N | Initial starts | 证明点 |
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| --- | ---: | --- | --- |
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| trusted control | 1 | 可信/default start | 定义 `R_ref` |
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| topology-only | 4 | `(TP,DP)=(8,1),(4,2),(1,4),(2,4)`,runtime nominal | 证明不是只会 `TP8 -> TP4` |
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| runtime-only | 4 | `TP2/DP1` with `gmu={0.50,0.70}` and `max-num-seqs={8,16}` | 证明 runtime floor/admission recovery |
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| combined | 4 | `TP8/gmu0.70/mns16`, `TP4/DP2/gmu0.50/mns8`, `TP1/DP8/gmu0.50/mns16`, `TP2/DP4/gmu0.70/mns8` | 证明 operators 可串联 |
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| held-out random | 8 | fixed-seed stratified samples over legal topology x low/nominal `gmu` x low/normal `mns`,排除已通过 sentinel | overfit denominator |
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总计:1 control + 20 novel bad starts。
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## Primary metrics
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- best-so-far SLO-feasible `req/s/GPU / R_ref`;
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- time-to-95%-reference;
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- normalized AUC over trial budget;
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- final pass rate;
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- executed normalized full-config repeat count;
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- no-op blocked count;
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- candidate family / operator sequence;
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- stop reason and `candidate_set_hash`。
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每个 run 必须保留:
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```text
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state.json
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proposals/*.json
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harness/candidate-set-*.json
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trials/trial-*/trial_spec.json
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trials/trial-*/result.json
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```
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## Pass/fail
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Run-level pass:
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```text
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best_so_far_req_per_gpu >= 0.95 * R_ref within 12 measured trials
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pass_rate >= 0.95
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executed_effective_config_repeat_count == 0
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no harness stop while high-priority eligible candidates remain
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```
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Suite-level pass:
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```text
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20 / 20 novel bad starts pass.
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```
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如果任一 novel start 失败,不能 claim distribution-level bad-start robustness。修复后必须
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冻结失败分析,并重新抽 held-out random set。
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## Overfit guards
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- pre-register all starts and random seed;
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- 不把已通过的 exact `TP8,gmu0.5,mns8` sentinel 计入 20-case denominator;
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- 不在 starts 之间调 threshold;
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- 报告 operator names,例如 `topology_bracket`, `topology_redistribute`,
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`runtime_floor_jump`, `admission_recovery`,而不是 case-specific action;
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- 每次 stop 必须引用 `candidate_set_hash` 和 no high-priority eligible candidate evidence。
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## GPU cost
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Expected:
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```text
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21 runs * 6-8 measured trials = 126-168 trials
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```
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Hard cap:
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```text
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21 runs * 12 measured trials = 252 trials
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```
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按当前 Qwen30B bounded replay 粗估:
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```text
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15-35 min / measured trial
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expected = 250-780 H20 GPU-hours
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cap = 500-1175 H20 GPU-hours
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```
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因此建议先跑 3-case pilot:
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| Pilot case | 起点 | 目的 |
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| --- | --- | --- |
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| topology-only | `TP=4, DP=2, gmu=0.9, mns=64` | 检查不是只会处理 TP8 |
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| runtime-only | `TP=2, DP=1, gmu=0.5, mns=8` | 检查 runtime floor/admission recovery |
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| combined | `TP=1, DP=8, gmu=0.5, mns=16` | 检查 topology + runtime 串联 |
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Pilot 通过后再启动完整 20-case suite。
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