Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial Facts.

arXiv:2610.07798v1 Announce Type: new Abstract: People increasingly ask large language models what to do with their money, yet seldom describe their finances in full. This paper asks what a model does with the gap. Holding finances fixed and changing only who