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Every Model Leaves a Trace: Multi-Resolution LLM Fingerprinting

Paper recorded by Signals 4 on 2026-10-20 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CL · 自然语言处理 · first seen 2026-10-21

Abstract

Large language models leave model-specific traces in their generated text, but it remains unclear how finely these fingerprints can distinguish related models and which signals remain informative as obvious cues are reduced. We study this through fingerprint resolution, considering both model resolution, from different families to distilled and adapted variants, and signal resolution across behavi

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#201 most recent of 660 cs.CL papers we have recorded · ↑ newer: MythoSemantic: An Interactive System for Discovering Semantic Parallel · ↓ older: The Instruction Tax on Factual Recall: Base Models Can Beat Their Inst
Cite this page: Every Model Leaves a Trace: Multi-Resolution LLM Fingerprinting: the #201 most recent of 660 cs.CL papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/every-model-leaves-a-trace-multi-resolution-llm-fingerprinting.html
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