About the PV-PP framework
The Productive Value–Productive Power (PV-PP) framework is a research program for representing decisions and interactions in terms of what agents can produce, preserve, exchange, lose, restore, and realize.
At its foundation, Productive Value (PV) concerns value conveyed through goods, services, information, currency, and other exchanges. Productive Power (PP) concerns the capacity to generate or provide Productive Value. The framework extends these concepts into a structured decision architecture involving actual and perceived state, viability, governing domains, policy construction, constraints, restoration adequacy, selection, execution, and state transition.
The framework is intended to preserve structure that can disappear when heterogeneous consequences are compressed prematurely into a single scalar objective. It therefore represents feasibility, viability, dependencies, recovery paths, and decision boundaries explicitly where the problem requires them.
Framework Architecture
10 — Core Framework
Layer 1 and Layer 2 architecture, state and transition semantics, perception interfaces, graph structure, and supporting specifications.
Browse Core Framework15 — Operators
Current operator-owner specifications and selected supporting specifications governing the PV-PP decision architecture.
Browse Operators20 — Stack and Layer Governance
Ownership maps, stack references, invariants, architecture diagrams, reader guidance, and interface governance.
Browse Governance30 — Applications and Extensions
Selected Layer 3 applications and Layer 4 scaling and research extensions, with their canonical, provisional, or exploratory status preserved.
Browse Applications40 — Runtime and Execution Formalization
The public architecture connecting framework governance to bounded runtime interfaces and tool-action admission.
Browse Runtime ArchitectureFormal Proof and Published Benchmarks
Scalar Reduction Proof Program
Formal research examining the conditions under which PV-PP decision structures can, and cannot, be represented through scalar aggregation.
PV-PP Agent Decision Layer Demo
Enterprise-compute incident benchmark comparing scalar optimization against corridor-preserving PV-PP decision logic.
Grenade Self-Sacrifice Benchmark
Extreme-threat benchmark examining self-sacrifice and preservation of other agents under severe constraints.
AI Gridworld Safe Benchmark
Goal-seeking benchmark involving hazards, traps, unsafe shortcuts, and governance constraints.
Authority and Research Status
This repository is a curated public release of a substantially larger research program. Public availability does not by itself make a document canonical.
Current owner specifications and governance documents control within their declared scopes. Supporting, provisional-canonical, exploratory, application, example, benchmark, and simulation materials retain their stated status.
Publication status and architectural authority are separate.
Scope of This Public Release
The internal PV-PP research tree contains substantially more material than is presented here. Exploratory research, unpublished papers, submitted manuscripts, books, intellectual-property work, developmental simulations, implementation prototypes, internal runtime materials, publication workspaces, and project-management files are intentionally excluded.
Specialized research programs that have been independently published are referenced from this repository rather than duplicated. This preserves a single authoritative public source for each project and reduces version divergence.