Researchers on arXiv are investigating whether persistent memory helps an LLM agent improve at programmatic Chinese-character drawing. The study asks two related questions: does memory from previous attempts help the agent solve new problems, and does the way that memory is designed affect any benefit?
To explore this, the authors set up five agent conditions and test them on the drawing task. The abstract describes the setup but does not include the results, so the findings are not yet available from the source.
The paper is listed as arXiv:2610.24090v1.