APR-Lite Phases 7.1–7.3 Technical Note: Coalition Learning, Mesh Topology, and Governance Hardening in Regulated Multi-Agent AI Systems
Year: 2026
Type: article
Abstract: This technical note describes Phases 7.1, 7.2, and 7.3 of the APR-Lite governance platform, completing the 7.x governance line. Phase 7.1 introduces Coalition Learning — a governed mechanism for proposing, reviewing, activating, and rolling back changes to coalition behavior under strict two-person rule and evidence requirements. Phase 7.2 introduces Mesh Topology and Learning Governance — directed acyclic graph routing with cycle detection, fan-out and fan-in ceilings, and change-set schema validation at proposal time. Phase 7.3 is a governance hardening pass that introduces unified governance event envelopes, deterministic evaluator ordering, total freeze semantics, tenant config integrity validation, and mesh safety case evaluation. Together these three phases complete a fully governed, multi-tenant, multi-agent substrate with coalition drift, cross-session drift, mesh routing, rollback governance, learning ceilings, two-person rule, tenant ceilings, freeze semantics, and unified evaluator ordering. The implementation is validated against a 28-test smoke suite.
Author: Truong, Narnaiezzsshaa
Institution: Sofar Ocean (United States)
Language: English
Topic: Access Control and Trust
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7140210821
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