arxiv
PublishedJuly 2, 2026 at 4:00 AM
—neutral
ManimAgent: Self-Evolving Multimodal Agents for Visual Education
Publisher summary· verbatim
arXiv:2606.30296v2 Announce Type: replace Abstract: Multi-round reflection lets agents built on large language models recover from failures within a single task, but each task remains an isolated episode: lessons learned across many reflection rounds on one task are discarded before the next begins.
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Originally published on arxiv ↗