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It is not a production SLO, certification, customer result or comparison against Temporal/Camunda.","completed_at_epoch":1788231141.6059148,"elapsed_seconds":18.731,"environment":{"cpu_count":12,"machine":"AMD64","platform":"Windows-10-10.0.26200-SP0","processor":"AMD64 Family 25 Model 120 Stepping 0, AuthenticAMD","python":"3.11.9","workers":8},"evidence_pack_version":"1.0","hypothesis":"When a change affects a small dependency-linked subset, selective replay should avoid recomputing preserved records while retaining deterministic results and evidence lineage.","long_duration_run":{"reason":"This capture measures bounded tiers; run the same command with a controlled duration in the target environment before making a stability claim.","status":"NOT_RUN","target":"30\u201360 minutes"},"pass_criteria":["Full and selective replay produce deterministic digests for their declared scopes","Preserved records are not replayed","Forced failure resumes without losing or duplicating replay 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in-process benchmark. It is not a production SLO, certification, customer result or comparison against Temporal/Camunda.","30\u201360 minute stability, PostgreSQL, randomized crashes and Temporal/Camunda comparisons are not run in this capture.","Concurrent measurement uses bounded local workers; it is not a production capacity claim."],"pack_type":"EcoKure selective replay scale benchmark EvidencePack","verification_state":"MEASURED_LOCAL_CAPABILITY"}