Fiber
typed participant, object, resource, signal, or state
The public DFT architecture is organized through four functional layers.
| Layer | Name | Function |
|---|---|---|
| DFDF | Digital Fabric Definition Framework | Defines fabrics, fibers, bindings, routes, and transformation rules |
| FNS | Fabric Network Stack | Organizes inter-fabric communication, identity, state, and interoperability |
| IDFF | Interoperable Digital Fabric Framework | Describes coordination without collapsing into one authority |
| SIDS | Sovereign Intelligent Data Systems | Defines evidence-aware, governance-aware, agent-ready data systems |
These are architecture models and formalization targets, not endorsed standards, audited guarantees, or externally validated production specifications.
Architecture map
The DFT architecture stack moves from definition to network coherence, interoperability, and intelligent data systems. These are architecture models and formalization targets, not endorsed standards.
Digital Fabric Definition Framework
Defines fabrics, fibers, bindings, routes, transformations, and failure modes.
Fabric Network Stack
Organizes communication, identity transport, state exchange, and network coherence.
Interoperable Digital Fabric Framework
Coordinates separate fabrics without collapsing sovereignty or governance boundaries.
Sovereign Intelligent Data Systems
Creates evidence-aware, governance-aware, agent-ready data systems.
Fabric primitive model
A DFT fabric is a governed relational structure. The primitive model below provides the minimum public vocabulary for theory, architecture, applications, and implementations.
typed participant, object, resource, signal, or state
rule connecting fibers into a stable relation
permitted path of movement or transformation
property preserved under allowed transformations
record that makes state, action, or authorship inspectable
limit condition controlling claims, access, or validation
A semantic model for systems mapping and formalization; it is not presented as established physics.
14D tensor ontology
The 14D ontology organizes DFT architecture into spatial, topological, governance, economic, and cross-dimensional data bands. It is used as a semantic model for systems design and formalization.
| Dimensions | Band | Tensor class | Role | Boundary |
|---|---|---|---|---|
| 1–3 | Spatial Interface | Metric Tensor / Position Vector | Models physical location, virtual node placement, UI/UX anchoring, and spatial mapping. | Architecture mapping only unless tied to a measured physical system. |
| 4–7 | Topological Network | Laplacian / Adjacency / Spectral Gap | Models graph connectivity, contract relations, resilience, and topology. | Claims of security or resilience require implementation-specific evidence. |
| 8–10 | Governance and Compliance | Modular Congruence / Ethical Functor / Knot Invariant | Models policy alignment, compliance constraints, and governance transformations. | Not a certification or legal compliance claim without external review. |
| 11–13 | Economic and Resource Logic | Riemann Zeta / Modular Theta / Partition Function | Models token supply, voting weight, resource allocation, and valuation structures. | Economic formulas are design models unless backed by deployment data. |
| 14 | Cross-Dimensional Data Gradient | Gradient Tensor | Models cross-domain data interaction among spatial, digital, governance, and economic states. | Formalization target requiring specification and review. |
Fiber dynamics
In DFT, a fiber can represent contract logic, data flow, organizational behavior, governance state, or evidence movement. Fiber dynamics provide a source-bounded formalization target for describing how these units change and interact.
F = [T, E, L, O, ρ]
Boundary: The fiber vector is a DFT modeling construct for public explanation and future formalization. It is not presented as externally-validated science.
T
Represents computational, organizational, or operational load on a fiber.
E
Represents adaptability of a fiber to context change, load shift, or governance update.
L
Represents the complexity, reach, or operational span of a fiber.
O
Represents alignment of one fiber with another fiber, rule, route, or governance state.
ρ
Represents data, resources, or state concentration inside a fiber.
T_fabric = (1/N) Σ T_i
Aggregate load across a fabric.
Boundary: Formalization target.
E_fabric = Π E_i^ω_i
Aggregate adaptability across weighted fibers.
Boundary: Formalization target.
F_i · F_j
Coherence or conflict between two fiber states.
Boundary: Formalization target.
Φ_fabric = 1/(N(N-1)) Σ |F_i · F_j|
Proposed cohesion score across interacting fibers.
Boundary: Review-needed metric.
14D conformance examples
These examples test whether DFT applications and implementations can be classified through the 14D tensor ontology without turning semantic mapping into physical, legal, or operational validation.
Jurisdictional and organizational deployment contexts require explicit mapping.
DID, governance, and resource-ledger relations can be modeled as graph relations.
Policy, identity, and decision rules map naturally to governance bands.
Circular economy and resource-ledger claims require evidence-state classification.
Cross-domain identity/governance/resource mappings remain review-needed.
Needs canonical schema, DID model, and implementation evidence before stronger claims.
Boundary: This is a semantic conformance example, not proof of operational deployment.
Energy sites, local communities, and civic participation contexts can be spatially classified.
Energy, identity, and community-governance links can be graph-modeled.
Citizen participation and identity claims require legal and operational boundaries.
Energy-credit and ownership models require documented economics before public claims.
Energy/identity/governance bridges remain implementation-candidate mappings.
Needs pilot data, legal model, and implementation architecture.
Boundary: This mapping is a review scaffold, not proof of energy system deployment.
Interface and product/workflow surfaces can be spatially organized.
Textile/logical weave relations can be modeled as pattern graphs.
Design ownership, provenance, and pattern licensing remain to be specified.
Marketplace or product-economy claims require separate evidence.
Physical textile / digital fabric analogy remains bounded as implementation model.
Needs user stories, data schema, and implementation demo evidence.
Boundary: This is an implementation mapping, not validation of the whole DFT architecture.
Freight lanes, nodes, ports, warehouses, and locations form spatial fabric components.
Carrier, shipment, customs, and transaction relations form graph components.
Compliance, customs, and dispute states require explicit governance modeling.
Pricing, settlement, and incentive structures require measurable economic specification.
Physical logistics and digital evidence-layer binding remains review-needed.
Needs operational workflow, data model, compliance evidence, and integration design.
Boundary: This is a conformance example, not evidence of live freight exchange operations.
Visual ecosystem graph
The graph shows how DFT connects theory, architecture, applications, implementations, and review infrastructure. It is a public orientation model, not a claim of validation.
Ecosystem summary
This mobile summary mirrors the ecosystem graph so the structure remains readable without requiring canvas interaction.