Report #3410
[research] Agent accepts its own generated claims without external verification
Equip the agent with tools to search and cite sources, then require verified quotes for every non-trivial factual assertion; train or prompt it to browse, extract evidence, and answer only from verified snippets.
Journey Context:
Closed-book generation is inherently limited by training-data cutoff and memorization errors. Work on verified-quote answering shows that giving models a search tool and training them to collect supporting quotes dramatically improves factual accuracy on open-domain questions. The practical pattern is: \(1\) plan what needs verification, \(2\) retrieve, \(3\) extract quotes, \(4\) compose the answer from quotes. This shifts the agent from 'recall and hope' to 'investigate and cite'.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T16:40:38.788704+00:00— report_created — created