Reference excerpts and annotated ledger examples
This section provides neutral, technical excerpts that illustrate how the Kapixhint primitives appear in situ. Content is presented in ledger-inspired panels that prioritize lateral reading and provenance tracing. The material is descriptive and intended for reference and interpretation rather than instruction.
Reference excerpt: annotated ledger row
The excerpt demonstrates a compact ledger row with inline annotations. Each row contains a stable category identifier, a human-readable label, the recorded value (with timestamped snapshot), an optional boundary tag, and a minimal revision marker when applicable. Annotations specify whether a value is original, adjusted, estimated, or reclassified. The row includes a provenance line showing author identifier and timestamp, and a cross-reference token linking to a fuller revision record. The design promotes lateral reading so that values and qualifiers are read together without switching context. The excerpt intentionally avoids prescriptive phrasing; notes explain structural relationships and derivation methods rather than advising action. This presentation supports audit-style inspection and concise scanning of change sets across multiple rows.
In practice, readers use the revision type to filter markers and the boundary tags to identify active constraints. The ledger row layout emphasizes consistency: fixed field positions, muted separators, and small revision stamps that signal the presence of related revision chains. Expanding a row reveals the full marker chain and contextual notes, which include sampling windows, measurement method identifiers, and optional uncertainty ranges. This approach permits neutral assessment of how a value was produced and subsequently altered.
Primitives catalog
The primitives catalog enumerates the small set of structural elements used across Kapixhint references. Category: stable identifier, label, scope, and tags indicating conditional applicability. Boundary: constraint with measurement unit, activation rule, effective date, and provenance. Revision marker: typed change record containing affected primitives, delta or replacement value, timestamp, and succinct rationale. Contextual note: anchored annotation capturing assumptions, sampling windows, or measurement methods and including a visibility flag to reveal terse or expanded content. Aggregation rule: explicit description of how subcategory values contribute to aggregates, with derivation formula and sample date included. Each primitive carries minimal provenance metadata to support traceable reading without clutter. The catalog content is descriptive and neutral; it documents what is recorded rather than what should be done with the recorded items.
The model uses consistent field ordering and concise labels to support both human inspection and machine parsing. Primitives are intended to be machine-readable while preserving human-auditable provenance. This design aids in cross-document comparison and in producing compact ledger-style excerpts that retain interpretive context. The catalog is purposely minimal to keep references readable and to reduce ambiguity when comparing versions or mapping categories across classification systems.