@misc{9249673,
  abstract     = {{How long will it be before our modern society is wrapped in generative AI without our discernible knowledge? What happens when the line between real and synthetic is practically non-existent? This study explores how a Qwen3-0.6B model, designed for mobile and edge deployment, can be fine-tuned to generate JSON-schematic data for workout and fitness. It shows that even smaller models are well-enough to design parsable output, ready to be used by an application - thus hiding its AI trademarks. In the future, studies on even smaller models may be appropriate, as well as discussions regarding its ethics.}},
  author       = {{Angenius, Simon}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Is Generative AI Hiding in Your Phone? Fine-tuning SLMs to Generate JSON-Adherent Output}},
  year         = {{2026}},
}