Citation parsing is one of those underappreciated problems in multi-engine AI systems. Getting structured references out of model responses is essential for building trustworthy AI tools - especially when you need to verify claims across different LLM providers. How are you handling cases where models generate plausible-looking but fabricated citations? That hallucination edge case is the hardest part to get right in production.
Archit Mittal
I Automate Chaos — AI workflows, n8n, Claude, and open-source automation for businesses. Turning repetitive work into one-click systems.
Citation parsing is one of those underappreciated problems in multi-engine AI systems. Getting structured references out of model responses is essential for building trustworthy AI tools - especially when you need to verify claims across different LLM providers. How are you handling cases where models generate plausible-looking but fabricated citations? That hallucination edge case is the hardest part to get right in production.