Case Studies
Real-world scenarios that demonstrate how CKS prevents hallucinations, tracks provenance, and gives LLMs a verifiable knowledge backbone.
| Case Study | What it shows |
|---|---|
| Catching Fake Citations | How CKS mechanically detects a fabricated source that an LLM would otherwise accept |
| Semantic Search and Partial Merge | How CKS resolves merge conflicts automatically using semantic embeddings, in-place updates, and partial three-way merges |
| Ontology Validation and Graph Visualization | How CKS catches type errors with ontology constraints and debugs them with Mermaid visualization |
| Contradiction Detection and Hypothesis Sandboxing | How CKS detects logical contradictions (mutual exclusion, functional relations) and safely tests fixes in isolated sandboxes |
| Offline Semantic Search with Local Embeddings | How CKS switched to local, token-free embeddings and correctly ranked fruits above vehicles with cosine similarity 0.70 vs 0.21 |
| Resolving a Reasoning Conflict with Inference Arbitration | How CKS detects, explains, and resolves competing InferenceSteps using the reasoning layer (ADR-001) |
| Memory Agent: Saving and Reusing Knowledge Graphs Across Sessions | How CKS stores named graphs in a persistent registry, loads them in new conversations, and evolves them without rebuilding |
| CRDT Fork Resolution with Fork Agent | How CKS detects and automatically resolves CRDT forks using MV‑Register, outbox tasks, and the autonomous ForkResolutionAgent |