One paradigm. Three trees. Ninety papers.

This tree begins with a puzzle: institutions that have every formal power — legal authority, budgets, mandate, staffing — still routinely fail to act. Not because they lack information or resources, but because something in their architecture prevents judgment from reaching the point of decision.

The Authority Capacity framework identifies this as a finite resource — distinct from legitimacy, governance, or competence — that can be depleted. When authority capacity collapses, institutions substitute: they defer to capital, process, or external validation rather than exercising their own judgment. This is the commitment failure pattern — institutions make increasingly precise promises while delivering fewer outcomes.

The Learning trunk interleaves here. Institutions fail to learn not from lack of effort but from lack of architecture — the anti-learning default. Evidence circulates internally but cannot reach decision surfaces. Memory degrades across leadership transitions. Legitimacy cycles create perverse incentives where the institutions with the highest legitimacy exhibit the strongest resistance to learning.

What emerges is a circulatory diagnosis: authority failure and learning failure are both failures of flow. Evidence cannot circulate to decision-makers. Commitment cannot circulate to execution. Legitimacy pools in formal structures while draining from operational reality. These are not management problems — they are architectural pathologies that Circulatory Economics names and the institutional trunk maps.

Orthodox capital theory recognises three classes: debt (must be repaid with interest), equity (claims future earnings), and grants (given and gone). All three share a property so fundamental it goes unnoticed: they are exhaustible. Use depletes them. The institution must constantly return to the market — or the donor — for more.

Regenerative Capital Theory introduces a fourth class: capital that strengthens through use. Not perpetuity funds earning interest — that's still extractive capital with patient time horizons. Regenerative capital is architecturally different: it circulates through beneficiary relationships and returns to the pool through voluntary pay-forward, creating new capacity with each cycle.

This is the circulatory paradigm applied to capital itself. The Perpetual Social Capital framework operationalises this: gift recycling creates circulation where traditional philanthropy creates exhaustion. The R Factor (typically 80–95% pay-forward rates) determines how many cycles the capital survives. At 85%, every $1 generates $5.67 cumulative value. At 95%, $20×. This is not leverage — it is circulation.

The trunk builds upward from theory to deployment. Regenerative Cycle Architecture provides the temporal mechanics — how cycles decouple, align, and compound. Alignment Capital shows how to structure capital so it aligns with institutional mission rather than overriding it. The Unified Architecture for Catalytic Capital integrates everything into a five-layer deployment framework for perpetual blended finance.

The critical insight for Circulatory Economics: extraction is not an inevitable property of capital. It is a design choice — and a different design produces capital that strengthens institutions instead of depleting them.

The third tree addresses a problem that didn't exist when the first two were conceived: what happens to institutional governance when decision-making is delegated to intelligent systems that operate faster than human judgment can supervise?

The conventional answer — oversight, audits, alignment research — assumes governance can be applied after action. This tree argues the opposite: governance must be embedded before delegation, in the architecture itself. This is the pre-governing paradigm — designing the conditions under which governance will operate before any action is taken.

The foundational move is treating meaning as a first-class governable object. Idea-Native Architecture proposes that ideas — not documents, not data — should be the primary navigational unit in knowledge systems. Semantic Governance for AI extends this to intelligent systems: if you can govern the meaning an AI system operates with, you can constrain its action space without monitoring every output.

Mode-Bounded Intelligence provides the architectural constraint: five operating modes (Explore, Operate, Adjudicate, Steward, Architect) that bound what an AI system can do at any moment. The system cannot escalate its own authority. Mode transitions require explicit institutional authorization. This is governance-as-substrate — the constitutional layer that Circulatory Economics identifies as the precondition for large-scale cooperative circulation.

The circulatory connection: AI governance is not about controlling machines — it is about ensuring that meaning circulates faithfully through delegated cognitive systems. When meaning is distorted, captured, or lost in delegation, the institution's capacity for judgment degrades just as surely as when authority is substituted by capital. The AI trunk is the institutional trunk seen through the lens of delegation.

The trees are independent — each can be read and applied without reference to the others. But the deepest insights emerge at the intersections.

Consider the most common institutional failure pattern: a public agency has clear authority, adequate funding, and strong mandate — yet cannot act. The authority trunk diagnoses this as authority capacity collapse. The capital trunk shows that the funding model itself may be causing the collapse — exhaustible capital creates perpetual dependency, which erodes institutional autonomy, which degrades authority capacity. The learning trunk reveals that the institution cannot recognise this pattern because its learning architecture filters out evidence that challenges the funding relationship. And the AI trunk shows that delegating decision-support to systems trained on the institution's own compromised data amplifies rather than corrects the dysfunction.

This is why Circulatory Economics needed all three trees before it could name itself. The paradigm claim — that economic health is circulatory, not volumetric — only becomes demonstrable when you can show that authority fails when judgment cannot circulate, capital fails when value cannot circulate, and governance fails when meaning cannot circulate. Each tree proves one clause. Together, they prove the paradigm.

Below are the key coupling points — specific papers from different trees that speak directly to each other, where an insight in one trunk reshapes the theory in another.