Can Compression Detect Model-Associated Signatures Across Held-Out Prompts?
A fixed-cohort study testing whether general-purpose compression detects model-associated signatures across held-out prompt sets in short continuations from 127 model endpoints and configurations. The results support candidate-ranking structure beyond exact response length, while character n-gram TF-IDF is stronger and the evidence does not establish open-set or forensic attribution.