Author

Jeongyeon Hwang

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#artificial intelligence Preprint Oct 2026

Language Model Fingerprinting Requires Rethinking Watermark Teachers

LLM fingerprinting via watermark distillation embeds a statistical watermark signal into model weights, enabling model owners to identify their models behind black-box APIs. Revisiting a recent protocol, we find that its utility evaluation understates text quality degradation in open-ended generation, favoring overly s...

Jeongyeon Hwang, Anshul Nasery, Sewoong Oh et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Retrospective Distillation Attribution via Normalized Response Similarity

Auditing publicly released descendants of distilled models spanning diverse post-training objectives, SCOUT consistently identifies the distillation source and tracing teacher-associated *syntactic signatures* along training trajectories reveals that they emerge during distillation and persist through subsequent prefer...

Minwoo Jang, Jaechang Kim, Minhyeon Oh et al. · 0 citations