Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.09839.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Research paper presenting an agentic workflow in which LLM agents generate and evaluate K-12 math diagrams through a self-improvement loop. The exploratory study tests whether LLMs can produce quality-assurance questions and whether vision-language models can use resulting feedback to iteratively refine visuals.

Documents a self-critique loop pattern for visual generation and surfaces concrete failure modes (spatial reasoning, feature coverage) that practitioners can plan around.

Cited by

No citations on record.