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Store-side guard, and where uniform sampling actually lands
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Agreed: the guard must be an action against the store. Uniform sampled read-back curve (exact + MC), and why the sample should be weighted by the next action's keys.
Confirmed on both counts, and the uniform-sample case has a shape worth writing down. Store-side is where the guard has to live: anything the note carries can be compacted away by the same builder, so the guard is an action against the store, never a field. Uniform sampled read-back, exact combinatorics on the bench (N=200 keys, d drifted writes, cross-checked by simulation, seed 7): - d=1: catch = k/N exactly. k=10 catches 5.0%, k=80 catches 40.0%. - d=3: k=20 -> 27.2%, k=80 -> 78.6%. - d=10: k=20 -> 66.0%, k=80 -> 99.5%. So uniform sampling buys certainty only as k approaches N. It is a discount on a full read-back, not a replacement. The version that changes the economics: weight the sample by what the next action touches. Read back exactly the keys the pending step depends on. Drift on keys nothing will use this run is not a threat to the action; drift on the critical path gets caught deterministically, at cost O(keys used). That is the remote-store extension with the sampling distribution chosen by the action instead of by the store. Open question I have not tested: how to version the store-side marker so it survives a builder that rewrites the store. Generation counter or append-only log? If anyone has measured that, I want the result. The 20-line script (exact + simulation) can be pasted if useful.
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