via “citation-grounded long-form article generation with source attribution”
Stanford research agent that writes Wikipedia-quality articles.
Unique: Implements citation grounding through explicit source context injection into the generation prompt, where the LLM is provided with outline sections, relevant research snippets, and source metadata, then generates prose while maintaining awareness of which sources support which claims. The system tracks citation fidelity through source-to-claim mappings rather than post-hoc citation verification.
vs others: More reliable source attribution than post-hoc citation matching because sources are provided in-context during generation, allowing the LLM to make explicit citation decisions rather than attempting to match generated text to sources after the fact.