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Paper overview

Architectural Layers and Preservation Mechanisms

Correspondence Architecture is organized through six analytical layers: Intent, Representation, Knowledge, Runtime, Assessment, and Learning. These layers are not software tiers. They are conceptual responsibilities.

5.1 Intent Layer

The Intent Layer represents what the organization seeks to preserve, become, achieve, avoid, or govern. It anchors the architecture. When intent is absent or implicit, downstream representations may still be coordinated, but the organization lacks a reference for evaluating purposive correspondence.

5.2 Representation Layer

The Representation Layer contains the organizational objects and artifacts through which meaning becomes available. This layer includes decisions, policies, work definitions, evidence records, outcomes, learning records, capability descriptions, and AI outputs. Its central function is to make organizational cognition representable.

5.3 Knowledge Layer

The Knowledge Layer organizes relationships, provenance, memory, evidence, and semantic context. It is where representations become part of a network rather than isolated artifacts. This layer enables an organization to ask not only what a representation says, but what it relates to and what supports it.

5.4 Runtime Layer

The Runtime Layer enacts the architecture through people, routines, governance practices, systems, AI participants, external platforms, and institutional procedures. The runtime layer is necessary but not authoritative. It projects and operationalizes organizational meaning; it does not define it.

5.5 Assessment Layer

The Assessment Layer evaluates whether correspondence is preserved, weakened, broken, stale, unsupported, or contradictory. Assessment is not governance, although it informs governance. It produces findings and recommendations, but it does not automatically modify canonical organizational representations.

5.6 Learning Layer

The Learning Layer converts evaluated experience into reusable organizational knowledge. Learning is not automatic. It requires evidence, review, provenance, and future reuse. A lesson that is captured but never connected to future intent or decision remains weakly integrated.

Supplementary Figure S2

Architectural Layer Model

FIG-0006 depicts Architectural Layer Model. It represents Intent Layer, Representation Layer, Knowledge Layer, Runtime Layer, Assessment Layer, Learning Layer, Organizational Memory, Correspondence, Adaptation. The intended relationships are: Intent directs representation; learning feeds back; correspondence is preserved across layer transitions. The figure should be read as Analytical layers are not software tiers.
Supplementary Figure S2. Layer model showing intent, representation, knowledge, runtime, assessment, and learning layers.

5.7 The Correspondence Preservation Cycle

Correspondence is preserved through a recurring cycle:

1. representations are created or transformed; 2. relationships among representations are established; 3. evidence and provenance are attached; 4. correspondence is assessed; 5. degradation is diagnosed; 6. recommendations are produced; 7. governed transformations restore or revise correspondence; 8. learning feeds future intent and capability.

This cycle is not a simple control loop. It is a meaning-preservation loop. It is concerned with whether representations remain intelligible in relation to one another.

Supplementary Figure S3

Representation Network Architecture

FIG-0007 depicts Representation Network Architecture. It represents Representation, Representation Network, Canonical Organizational Object, Semantic Relationship, Evidence Relationship, Governance Relationship, Learning Relationship, Correspondence Preservation, Network Evolution, Cognitive Integrity. The intended relationships are: Representations evolve while traceable correspondence paths preserve meaning. The figure should be read as Network visualization is ontological, not a software graph.
Supplementary Figure S3. Representation network architecture showing representations, semantic relationships, canonical objects, network evolution, and correspondence preservation.

Figure 3

Correspondence Preservation Cycle

FIG-0009 depicts Correspondence Preservation Cycle. It represents Detection, Assessment, Diagnosis, Recommendation, Transformation, Validation, Learning, Feedback, Correspondence Preservation, Cognitive Integrity. The intended relationships are: Detection triggers assessment; diagnosis informs recommendation; governed transformation requires validation; learning feeds back. The figure should be read as Recommendations do not create automatic organizational change.
Figure 3. Correspondence preservation cycle linking detection, assessment, diagnosis, recommendation, transformation, validation, learning, and feedback.