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To validate entity schemas and cross-reference integrity in a research wiki, run the wiki linter to check required fields and verify bidirectional xref reciprocity across all runtime schema entity types. It outputs a prioritized JSON lint report highlighting structural and graph consistency issues.

Yes, you can automatically fix broken links and missing fields by applying the linter's optional deterministic auto-fix mode. It safely repairs valid structural issues while generating a tiered report for ongoing wiki maintenance workflows.

The best way to check citation consistency across a paper-concept network is validating the graph/citations.jsonl file against the runtime schema. The linter enforces valid edge and citation formats, ensuring link correctness and graph consistency throughout your research knowledge base.

Yes, the wiki linter supports all entity types defined in runtime/schema/entities.yaml, including papers, concepts, topics, people, ideas, experiments, methods, Summary, and foundations. It validates required field completeness and valid enum/status values across every declared category.

Bidirectional cross-reference errors appear in your wiki lint report when xref reverse-link rules are violated. The linter checks cross-reference symmetry to ensure graph edges and relationships maintain strict reciprocity across your research knowledge base.

To output a JSON-serializable lint report for wiki maintenance, run the linter in report mode. It scans all entity types and graph files, returning a prioritized structural validation report that satisfies JSON-serializable linting requirements for easier automated review.