arXiv cs.LG
· Papers
Reference-Based Distillation Detection in LLMs
arXiv:2607.09692v1 Announce Type: new Abstract: Model distillation -- training on outputs from stronger third-party models -- is widely used to boost performance, but raises concerns about unfair advantages and policy violations. This motivates a fundamental question: can we detect whether a model was distilled from an