A measurement substrate for agentic Kubernetes operations: Methodology and a case study in retrieval-compounding falsification

ArXi:2605.23058v1 Announce Type: cross Empirical claims about autonomous Kubernetes operations agents are largely unfalsifiable. Published work reports observational results without controlled comparisons against an agent-disabled baseline, selection bias is endemic, pre-registered decision matrices are absent, and samples are typically too small for the noise level of the underlying scoring system.