What is post-hoc artificial intelligence citation generation?
Definition
Post-hoc artificial intelligence citation generation reverses an evidence-led research process. The system forms claims from model memory or initial generation, then retrieves sources using those claims as search targets, which encourages confirmation and can attach superficially related pages to unsupported statements.
A safer workflow begins with source discovery and verification, records evidence before synthesis, and requires each citation to support the exact nearby claim. If evidence conflicts with the draft, the conclusion should change rather than the search continuing until a favorable page appears.
Acronyms and aliases
post-hoc AI citation generation acronymanswer-first citation search synonym
Related terms
Frequently asked questions
Why is post-hoc artificial intelligence citation generation risky?
It encourages confirmation bias and can attach weak or irrelevant pages to a conclusion that was never derived from verified evidence.
What is the alternative to answer-first citation search?
Gather and verify sources first, extract supported claims with provenance, then synthesize a conclusion that reflects the evidence.
