This bridge note uses a published multi-agent AI benchmark report (Shen et al. , arXiv: 2604. 10290) as an empirical entry point into the Synkyrian field-level account of accountability under finite capacity. It argues that individually aligned agents are insufficient for organisation-level accountability when admissibility, refusal, execution, and witness fail to survive decomposition, handoff, and recomposition across the network. The central contribution is the Field-Level AEW Preservation Protocol: four structural conditions — admissibility inheritance, refusal propagation, witnessed handoff, and recomposition gating — that a multi-agent AI organisation must satisfy to prevent false continuation after a boundary signal has been raised but not propagated. The note includes a diagnostic reconstruction of a published benchmark case, two minimal structural propositions, a governance test, and a companion trace-backed structural probe. This release includes the companion evidence bundle FCAICB01RTEMAAEW₀1EvidenceBundle. zip, which contains the probe script, witness outputs, manifest, checksums, and appendix material. The probe is not presented as independent empirical evidence for the Shen et al. benchmark; rather, it is a controlled structural operationalisation of the AEW diagnosis. Registered as FCAIC-B01 in the Finite-Capacity AI Constitution series.
Panagiotis Kalomoirakis (Thu,) studied this question.