AMO Research Series — Conceptual Paper Repository
Governance without chain integrity is policy, not constraint. Chain integrity is what transforms a sequence of delegations into a verifiable authority structure.
This repository contains the conceptual paper and formal specification that extract the structural law evidenced by the AI-Delegation-Learning-Lab: Chain Integrity as a governance primitive.
The lab demonstrated, through four executable scenarios, that delegation does not transfer authority — it issues a derived, scoped, time-bounded grant. This paper formalises the structural law that makes that distinction load-bearing across any autonomous governance domain.
Chain integrity is not a feature to be added to a governance system. It is the minimal structural condition that makes a governance system verifiable at all.
A governance system is chain-integral if and only if:
- Every state transition in every node of the authority chain is replayable
- Every grant is causally traceable to a root grant
- Revocation at any node propagates structurally to all derived grants
- No delegation can exceed the scope of its parent grant
These four properties are domain-independent. They hold identically for filesystem capabilities, AI agent authority channels, API permission hierarchies, and hardware governance architectures.
AMO Core v3 (architecture — Spanish, orbital repository model)
└── AMO Research Series (English, Zenodo)
├── Papers 1–8 (published)
│ ├── Paper 1: Structural governance foundations
│ ├── Paper 2–7: Authority collapse, commit boundary, admissibility
│ └── Paper 8: AMO vs. OTANIS comparison
│
├── AI-MCP-Learning-Lab
│ └── empirical: identity ≠ authority
│
├── AI-Delegation-Learning-Lab
│ └── empirical: derivation mechanics, cascade revocation, chain replay
│
└── Chain-Integrity-in-Autonomous-Governance-Systems ← THIS REPO
└── conceptual: the structural law the lab evidence supports
Relationship layer:
- AMO Core v3 defines how authority is encoded structurally (orbital architecture, radial not vertical).
- The Research Series defines why those structural choices are necessary (governance theory).
- The Labs provide empirical validation of specific mechanics.
- This paper extracts the minimal formal condition that unifies all three layers.
Chain-Integrity-in-Autonomous-Governance-Systems/
├── README.md ← you are here
├── paper/
│ ├── chain-integrity-paper.md ← full academic paper (10 sections)
│ └── formal-spec.md ← formal definitions, properties, proofs
├── diagrams/
│ ├── chain-integrity-model.svg ← authority chain structure
│ ├── derivation-vs-transfer.svg ← conceptual distinction diagram
│ └── cascade-revocation.svg ← revocation propagation model
├── adr/
│ └── ADR-001-paper-scope.md ← why standalone paper, not lab extension
└── references/
└── implementation-evidence.md ← AI-Delegation-Learning-Lab as empirical basis
| Step | File | Purpose |
|---|---|---|
| 1 | adr/ADR-001-paper-scope.md |
Understand why this exists as a standalone artefact |
| 2 | paper/chain-integrity-paper.md |
Full conceptual and theoretical treatment |
| 3 | paper/formal-spec.md |
Machine-checkable definitions and properties |
| 4 | references/implementation-evidence.md |
Grounding in the lab's empirical results |
| 5 | diagrams/ |
Visual models of all three structural concepts |
AMO Core v3's orbital architecture encodes authority as radial, not vertical. The orbital model is a structural consequence of chain integrity: a node at orbit n cannot hold authority that has not propagated inward from orbit n−1. The amo-foundation repository defines the root grant semantics. Every outer orbit is a derived grant with scope ⊆ parent scope.
Chain integrity is therefore not an addition to AMO Core — it is the mathematical condition that the orbital architecture is designed to satisfy.
| Artefact | Status |
|---|---|
| Paper (all 10 sections) | Complete |
| Formal specification (all 7 definitions) | Complete |
| Diagrams (SVG) | Complete |
| ADR-001 | Complete |
| Implementation evidence | Complete |
Rubio Albacete, R. (2025). Chain Integrity in Autonomous Governance Systems. AMO Research Series. Zenodo. https://doi.org/10.5281/zenodo.20480295
AMO Research Series — Architecture-first governance for autonomous systems.