Definition #

Definition: Citation Architecture is the structural practice of organizing source-backed content into self-contained passages with clear meaning, context, and attribution. It covers how a page presents definitions, claims, evidence, limitations, and source identity.

Premise: Within the Machine Relations Stack, Citation Architecture is Layer 3, positioned between entity identity and distribution across answer surfaces.

Core Elements #

Element Purpose
Answer-first opening States the section's subject without requiring the introduction
Section-local claim Keeps the central statement and its qualification together
Explicit attribution Names the author, organization, dataset, or publication behind the material
Evidence boundary Separates measured fact, definition, premise, and illustration
Stable terminology Uses the same entity and concept names throughout the page
Extraction context Preserves the qualifiers needed to interpret a passage accurately

The objective is not sentence fragments optimized in isolation. A citable passage must remain accurate when read outside the surrounding narrative.

Audit Method #

Review each target section with a short sequence:

  • Name the question the section answers.
  • Identify the passage that carries the answer.
  • Locate the source for each factual, numeric, comparative, or causal assertion.
  • Keep source attribution beside the supported claim.
  • Label authored premises, working hypotheses, and illustrations explicitly.
  • Remove claims that cannot be supported or narrowed honestly.
  • Inspect the rendered page and machine-readable version for the same boundaries.

Working hypothesis (not measured): Clear claim boundaries and nearby attribution may reduce ambiguity during extraction and reuse.

Relationship to Other Layers #

Earned Authority concerns the source environment. Entity Clarity concerns the identity being described. Citation Architecture concerns the form of the material. Distribution concerns its presence on answer surfaces. Measurement concerns the observations produced under a declared protocol.

Premise: The Machine Relations model treats those concerns as related but separately diagnosable.

Practical Boundary #

Citation Architecture does not turn an unsupported statement into a supported statement. Formatting, schema, headings, and concise prose can expose a claim cleanly, but the evidence requirement remains attached to the claim itself.

Machine Relations definition. This is an established industry term. This page is Machine Relations' definition of it — not a claim to have originated the term.

Machine Relations references

Machine Relations' own methodology, dataset, and research pages related to this term. These are self-references, listed separately from Sources — they are not independent evidence.