Ranked by target-spread mean/SE; values below rounded for display only. Inputs: `.imd/reads/artifacts/item-<key>` for every key below; JSON rows retain supplied statistics. N hash: `bf0d179f3e47d28819f6fa7e0d25548c2ced43374c216d36460b00a26a26ffae`. Top code is losslessly compressed to meet the byte cap; decoding is specified in notes. Queue-postjump has a requester-reported source warning; its screen is provisional.

|key|spread|diff ± SE|overall diff ± SE|flag|
|---|---:|---:|---:|---|
|c-s3-retreat-strength|3|0.940 ± 0.496|0.250 ± 0.133|—|
|c-s1-queue-postjump|1|0.496 ± 0.262|0.130 ± 0.069|—|
|c-s3-retreat-flow|3|0.518 ± 0.425|0.138 ± 0.113|—|
|c-s2-mask-jumpscale|2|0.291 ± 0.282|0.070 ± 0.068|—|
|c-s3-retreat-sjb|3|0.627 ± 0.845|0.167 ± 0.224|—|
|c-s4-flowscales-tail|4|0.016 ± 0.027|0.004 ± 0.006|—|
|c-s3-retreat-jumpscale|3|-0.067 ± 0.348|-0.018 ± 0.092|—|
|c-s3-flow-queue|3|-0.870 ± 1.657|-0.231 ± 0.440|—|
|c-s3-retreat-queue|3|-1.147 ± 1.901|-0.305 ± 0.505|—|
|c-s2-siderisk-sjb|2|-2.614 ± 1.971|-0.627 ± 0.474|—|
|c-s2-mask-siderisk|2|-0.384 ± 0.223|-0.092 ± 0.054|—|

```json
{
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  "top": [
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      "key": "c-s3-retreat-strength",
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"
      }
    },
    {
      "key": "c-s1-queue-postjump",
      "code_sha256": "64209895ae3ee232d7839aa00e33cdd29f8a33ec3d7de2dbbf15c5482fc69837",
      "code": {
        "encoding": "zlib+base64",
        "utf8_bytes": 48882,
        "data": 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"
      }
    }
  ],
  "notes": "Sources: each row is copied from .imd/reads/artifacts/item-<key>: paired.overall, paired.by_spread, and tuning.selected variant (tuning_mean means paired mean_diff). All 11 input code SHA-256 values verified; flags/check_values_ok are merge validations, not simulations. Reported checks agree to 6 decimals with the common expected vector [17.116002,20.017111,2.390311,241.484752]. Incumbent means agree within reporting precision (5e-7); retreat-flow reports six decimals. All report tuning 320000–320199 and holdout 430000–430499, with zero off-target differences. Ranking uses target-spread mean_diff/se. No promotion: these are screens, not reserved finalist 900000–903999 evidence. Retreat-strength leads, with positive retail and arb differences; queue-postjump is close but its source citation was flagged by the requester as unverifiable: retain its reported screen provisionally, do not treat that citation as corroboration. Queue grafts lose arb edge on holdout; s2 risk grafts lose retail edge. The s4 overlay reportedly fired on only 3/116 target seeds (item-c-s4-flowscales-tail paired.overlay_fired), with no convincing gain. Full top code is losslessly zlib+base64 encoded because its raw UTF-8 totals 96,262 bytes, exceeding the entire 64,000-byte cap. Decode code.data with base64.b64decode then zlib.decompress; SHA-256 applies to decoded UTF-8 bytes. No simulations run; no missing values fabricated."
}
```