# r5-deepen merge 02: retreat-cancel variants on spreads 2 and 3, screened against RC

**These are screening seeds, not finalist seeds.** Every item tuned on seeds 330000..330199 and screened once on holdout seeds 440000..440499 (n=500), paired against RC (SHA-256 `3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f`). None of the items reports running finalist seeds 900000..903999, so none of them can be promoted from this evidence.

All statistics are copied from the eight item result files under `.imd/reads/artifacts/`. No simulations were run for this merge. One exception: seven items reported holdout stats only overall and by spread, with no pooled target-spread block. For those rows, the target-spread mean and se were pooled from the reported spread-2 and spread-3 `n`, `sum_d` and `sum_d2` (sample variance, se = sd/sqrt(n)). Only `d5-s23-cancel-late-longer` reported its own `paired.target` block. Off-target spreads (1 and 4) have exactly zero difference in every item, so the overall sum_d equals the target sum_d.

## Ranked by target-spread mean_diff/se (holdout 440000..440499)

| rank | key | code_sha256 | target spreads | holdout n (target n) | target mean_diff | target se | t | overall mean_diff | overall se | retail_diff | arb_diff | tuning mean (target) | flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | d5-s23-cancel-late-longer | `62b13984a6247927af0fd1530a68b443d184c12f0188d58d88b0b240219d5c30` | 2,3 | 500 (229) | 0.0417 | 0.0469 | 0.89 | 0.0191 | 0.0215 | -0.0368 | 0.0559 | -0.1622 |  |
| 2 | d5-s23-cancel-far-only | `f135c96276a0bc55e504081a3928c4c03cf525b8b4888acae408e5d0a2c46957` | 2,3 | 500 (229) | 0.0036 (derived) | 0.0176 | 0.20 | 0.0016 | 0.0081 | -0.0007 | 0.0024 | 0.0408 |  |
| 3 | d5-s23-cancel-near-only | `f5ab7389756df2e4519d1ba10bfb72d11e724d55db10851668527954f2feeee9` | 2,3 | 500 (229) | 0.0000 (derived) | 0.0000 | n/a (0/0) | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |  |
| 4 | d5-s23-cancel-keep-probes | `84d84816e312ede7173d8c29034466486fe14f2259aa9f608567b171a6e8ec30` | 2,3 | 500 (229) | -0.0680 (derived) | 0.1092 | -0.62 | -0.0312 | 0.0500 | 0.0389 | -0.0701 | 0.1137 |  |
| 5 | d5-s23-cancel-opposite-boost | `03ba7c595993ed97310a0667c789fa606a00326b3389e9308eb86700938db21f` | 2,3 | 500 (229) | -0.4372 (derived) | 0.5762 | -0.76 | -0.2002 | 0.2638 | 0.1469 | -0.3471 | 2.8349 |  |
| 6 | d5-s23-cancel-jump-charge | `32fa19d10e03fa3f0b962857f43ad8c4672ee101312ec8357ab80291fc64128b` | 2,3 | 500 (229) | -0.1405 (derived) | 0.0918 | -1.53 | -0.0644 | 0.0421 | -0.1899 | 0.1255 | 0.0965 |  |
| 7 | d5-s23-cancel-phat-band | `a93157ffe44e3d2b4e7f8f7c2b4e7ed2a7874642b2c1e86682fa049e7d73500e` | 2,3 | 500 (229) | -0.7625 (derived) | 0.1725 | -4.42 | -0.3492 | 0.0807 | -0.0681 | -0.2812 | -0.6606 |  |
| 8 | d5-s23-cancel-repeat | `f436aeb4324eb94df2f2c4b2a9a87cedfc100addce0c8d764a012a659295ce88` | 2,3 | 500 (229) | -0.5913 (derived) | 0.1231 | -4.80 | -0.2708 | 0.0579 | -0.1675 | -0.1033 | -1.6467 |  |

The flag column is empty for every row. Every item is complete (500/500 seeds, none missing) with zero failures. Each embedded code hashes to its stated code_sha256 (gzip+base64 code was decoded first). Every item reports the same check values (310000: 17.5126554022, 310001: 20.6298693268, 310002: 2.3903113616, 310003: 248.006347259), the same comparator SHA, and the same holdout comparator_mean 101.4369248623788. None of the items has an `off_equals_rc` field.

## Findings

- **Nothing in this group earns a promotion.** The best target-spread t is below 1. Each item's own `next` field also says not to promote.
- `d5-s23-cancel-late-longer`: Screen only; retain RC pending independent finalist measurement. Do not promote from this holdout. Consider replication of the frozen variant.
- `d5-s23-cancel-far-only`: Holdout gain does not clear two standard errors; do not advance this wrapper.
- `d5-s23-cancel-near-only`: Keep RC: nearest-only cancellation with suppression matched RC total edge exactly on every tuning and holdout seed; removing suppression lost target-spread edge in tuning. No promotion. Consider a mechanism that changes exposure where live depth differs. Finalist seeds 900000..903999 were untouched.
- `d5-s23-cancel-keep-probes`: Screen only; no promotion. Do not advance: holdout paired mean is nonpositive.
- `d5-s23-cancel-opposite-boost`: Do not promote: the 500-seed holdout paired mean is negative and its uncertainty includes zero. The tuning gain was driven by seed 330164; consider a different mechanism for the next item.
- `d5-s23-cancel-jump-charge`: Retain RC; do not promote this screen. The holdout does not establish a positive gain exceeding two standard errors.
- `d5-s23-cancel-phat-band`: Screen only; no promotion. Retain RC: the selected band has no positive holdout evidence.
- `d5-s23-cancel-repeat`: Repeat-retreat blocking hurts at every W (shorter W hurts less). Drop it; try a block of 2, or an unblock rule when the rival returns.
- `d5-s23-cancel-near-only` matched RC exactly: zero difference on every tuning and holdout seed. Cancelling only the best-price orders, with suppression kept, behaves the same as RC on these seeds. Its t is undefined (0/0), so it ranks after the positive rows but ahead of the negative ones.
- Negative results that clear two standard errors: `d5-s23-cancel-phat-band` (band 5-95c) and `d5-s23-cancel-repeat` (W=5, 3-callback block). Both are reliably worse than RC on target spreads. This means RC's one-callback cancellation helps across the whole probability range, and lengthening it after a repeat retreat costs edge.
- Tuning and holdout disagree in places. `keep-probes` looked positive in tuning (+0.114, se 0.057, target) but came out negative on holdout. `late-longer` was negative in tuning (L2: -0.162) yet is the top holdout row (+0.042, se 0.047). Both results are noise-level.
- **Source caveat.** When their machines re-read them, one cited source for `d5-s23-cancel-far-only` and one for `d5-s23-cancel-opposite-boost` could not be read or did not say what it was quoted for. The result files do not say which claims those sources backed. The statistics above come from the items' own simulation records, not from those sources. Any claim in those two items that rests on an outside page (for example, about simulator behaviour) should count as unverified. This matters most for `far-only`, which is the second `top` entry below.

## JSON

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"
},
{
"key": "d5-s23-cancel-far-only",
"code_sha256": "f135c96276a0bc55e504081a3928c4c03cf525b8b4888acae408e5d0a2c46957",
"encoding": "gzip+base64 of UTF-8 Python source",
"code": 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"
}
],
"input_sources": {
"d5-s23-cancel-far-only": "dbc65c018c9a5068b8b52da8c83db484024e682b25884e6f51c3ef7641dcfbf4",
"d5-s23-cancel-jump-charge": "216a57efe71a604b16421ff1d89018639978fb78990eaaaa38e6a8d0a016489a",
"d5-s23-cancel-keep-probes": "eb44642df80f99581633a7e4385693be9565c55679df655c69d72da584e8dacd",
"d5-s23-cancel-late-longer": "a26be4da6d0a71c75344053527ae422143301551e4cc0e57b594935d20226f92",
"d5-s23-cancel-near-only": "c52d8932df5a50722fd2c6428a965a38b1ab48a2a7232d5b61d5a64fefa4440f",
"d5-s23-cancel-opposite-boost": "bc26829c51194c664286ef8ed4d081537a3d65877efcbb5513af4881cc453e29",
"d5-s23-cancel-phat-band": "c9f73efba4a100e5d5eb5e502372af5e9e80ec9608a52f7219c01feccb115b3a",
"d5-s23-cancel-repeat": "97ce27cb62ed0312ec1b73c9cc24af45d81e3823401aaf4b147e3a7389a70030"
},
"notes": "Screening seeds 440000..440499, not finalist seeds. Numbers are strings. target_* values for rows whose target_stats_source is derived were pooled from reported by_spread 2+3 sums. No overlay rows, so no assembled_sha256."
}
```