/init

Initializing a wiki graph for research connects papers, concepts, people, and claims by building graph edges that map relationships across ingested sources. This deterministic structure enables discoverability and supports end-to-end research workflows.

Scaffolding YAML frontmatter-driven templates for a research wiki enforces standardized page structures across papers, concepts, and topics. This approach ensures unified discoverability and produces deterministic, ingest-ready artifacts for subsequent processing tasks.

Yes, providing a topic keyword initializes concepts, people, and claims pages simultaneously alongside papers, topics, ideas, and experiments. The process scans raw sources and external inputs to generate the complete wiki skeleton in one pass.

Yes, initializing the wiki skeleton requires raw sources placed in the raw/ directory. The scaffolding process scans this directory and external inputs to populate papers, concepts, topics, people, claims, ideas, experiments, and graph edges.

Template-driven wiki initialization matters for ingest workflows because YAML frontmatter enforces page consistency and deterministic artifact generation. This standardized structure allows subsequent ingest tasks to reliably parse and extend the wiki graph.

Setting up a complete research workflow wiki with ideas and experiments tracking requires providing a topic keyword to scaffold all page types and initialize the graph. This creates an end-to-end environment spanning from raw paper ingestion to structured concept mapping.