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#artificial intelligence Preprint Oct 2026

Continual Graph Memory for Mathematical Research Agents

Using frontier agent harnesses to tackle mathematical research problems has emerged as an effective means of advancing mathematics. However, solving frontier problems in mathematics may require a massive number of agents working in parallel for extended periods to construct proofs, thereby generating an enormous volume...

Jun-Yi Zhang, Jin-Xi Yu, E. Jiang et al. · 0 citations
Review Aug 2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Graph Engineering is introduced, an emerging paradigm for next-generation agent systems that provides a unified foundation for organizing complex objectives, orchestrating heterogeneous agents, modeling system dynamics, and enabling scalable agent evolution.

Yuyuan Feng, Zhi-Shang Xiang, Chao Yang et al. · 4 citations

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