M7: bounded replay artifacts and passing execution certification - #6
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Aug 31, 2026
M7: bounded replay artifacts and passing execution certification
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Scope
M7 quant-execution certification candidate only. Adds artifact-retention-bounded deterministic Arrow replay, strict immutable artifact verification, retained evidence, and an explicit representative workload. Preserves Strategy -> RiskGate -> Matching -> Fill/Fee -> ExactAccountLedger -> canonical hashes. No live-order transport.
Contract, dependency and sealed-state closure
Verification
Formal performance result
Clean source commit23f6b19cc1c4e42fb9df8ce600ad34b254a121a5; evidence commit f43489e. Three fresh processes, each with10,000,000 events,500,000 fills, full risk/matching/fees/exact ledger/Arrow output.
Remaining risks and rollback
The formal workload has explicit5% fill density. The50%-fill stress path remains below50,000events/s and is disclosed separately. The slowest formal run passes by16.4%; future releases still retain per-run and15% regression gates. Identity sets and broker lookup/idempotency state scale with event/order count. Performance evidence is Windows/Python3.12 host-specific; CI covers functional compatibility on Python3.10-3.12. The benchmark records dirty-tree state but does not yet turn dirty=true into an automatic failure.
Rollback is a Git revert of this merge; the unchanged in-memory replay path remains available. This is a component release candidate, not PureSaber platform GA.