Context
Huang and colleagues introduce ReCite, a peer-reviewed agentic academic citation system that identifies citation locations, plans searches from citation intent, verifies claim-evidence support and retries retrieval after mismatches.
What changed
A modular academic citation recommendation framework with claim-level verification and reflective re-retrieval was evaluated on a disjoint set of scholarly citation contexts.
Why it matters
Authentic and topically relevant retrieved sources can fail to support a particular claim. The work provides a testable approach to distinguishing candidate retrieval from faithful citation selection.
Visibility OS interpretation
Visibility OS interpretation: evaluate citation intent, source relevance and claim support independently. These academic-paper results should not be represented as production ChatGPT Search, Google or Perplexity behavior.
What remains uncertain
Does the method generalize beyond computer-science papers to heterogeneous web sources? How does it perform on multimodal citations? How much do evaluation results change when multiple valid supporting sources are accepted?