Evidence and limits
Finding: Multi-agent systems helped parallelizable work but degraded sequential planning by 39% to 70%. Independent agents amplified errors more than centralized systems, and tool density increased coordination cost.
Impact: Strengthen task-decomposability and error-containment checks. Reject agent count as a quality proxy.
Boundary: Benchmark architectures and tasks do not prove the same effects in governed repository work. Next: can a bounded owning-system test predict when centralized delegation beats one agent?
Flags: benchmark transfer; configuration selection; judge dependence
Record State: Catalog review recorded; not a performance endorsement
What was reviewed: Structure and relevance screened; not a full evaluation