Bernd Worsch
ac442ea41f
Implements full LEVEL3 feature set: cross-references (xref.py), numbered figures (figures.py), auto-diagrams (diagrams.py), bibliography/citations (bibliography.py), LEVEL3 capability detection (level3.py), and structured error/warning records (errors.py). Builder, importer, and differ updated for LEVEL3 round-trip support. REST and MCP interfaces updated with structured warning records. 259 tests passing. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.6 KiB
Combined LEVEL3 Feature Document
This document exercises all LEVEL3 constructs in a single file.
Introduction
This document demonstrates the full LEVEL3 feature set as described by [@smith2020]. See [Background][bg] for context.
Background
Context and prerequisites are discussed here. Refer to [Introduction][intro] for the problem statement.
Architecture
The system architecture is shown below.
{#fig:arch}
The architecture overview in [Architecture][arch-section] establishes the baseline from which the data flow is derived.
Data Flow
The data flow diagram illustrates message routing.
graph LR
A[Input] --> B[Processor]
B --> C[Output]
Algorithm
The algorithm formalises the approach described in [@jones2021].
digraph algorithm {
start -> step1 -> step2 -> end;
}
Results
Experimental results confirm the algorithm in [Algorithm][algo].
{#fig:results}
The results align with predictions from [@brown2019] and the architectural choices described in [Architecture][arch-section].
Conclusion
All LEVEL3 constructs — cross-references, figures, diagrams, and citations — have been demonstrated. See [Introduction][intro] through [Results][results] for the complete narrative.
References
- [@smith2020]: Smith, J. LEVEL3 Design Principles. 2020.
- [@jones2021]: Jones, B. Algorithm Formalisation. 2021.
- [@brown2019]: Brown, C. Experimental Validation. 2019.