Markdown version: https://ai.hiina.space/reports/llm-evolution-and-meta-optimization/10-sources.md · index

Index of everything on this site: https://ai.hiina.space/index.md

LLM evolution and meta-optimization: 10. Sources

• Section 10 of 10 of the report "LLM evolution and meta-optimization" by Hiina (v1, updated 2026-10-27)
• Report overview and contents: https://ai.hiina.space/reports/llm-evolution-and-meta-optimization.md
• Previous: https://ai.hiina.space/reports/llm-evolution-and-meta-optimization/09-conclusion.md

10. Sources

Every source linked inline above, in order of first citation:

• Akiba et al., Nature Machine Intelligence 2025
• PopuLoRA, 2026
• Qiu et al., ICML 2026
• Darwin Godel Machine
• Huxley-Godel Machine
• AlphaEvolve
• Cloud et al., subliminal learning
• Anthropic
• Lorraine et al. 2019
• Wu et al. 2018
• LES
• LGA
• DiscoPOP
• README
• Frank
• Laufer, Oderinwale, Kleinberg
• Wortsman et al.
• Ilharco et al.
• Yu et al.
• Ainsworth et al.
• Yang et al. survey
• tianpan.co
• Sakana
• arXiv HTML
• Sakana CycleQD
• Abrantes, Lange, Tang
• arXiv 2602.08218
• Huang et al.
• Liu et al., COLM 2024
• paper
• TechRadar
• third-party ComfyUI docs
• Liu et al., ECCV 2022
• Wang et al.
• Jaderberg et al. 2017
• Borghi, Im, Pareschi
• Salimans et al.
• Malladi et al.
• ICML 2026 poster
• arXiv
• PMLR
• Hoy, Wang, Pan
• Lehman et al.
• DeepMind
• arXiv
• PyPI
• Sakana
• arXiv
• Fernando et al.
• Agrawal et al.
• Samvelyan et al.
• Faldor et al.
• Hughes et al.
• Hu, Lu, Clune
• Robeyns et al.
• Sakana DGM
• The Register
• arXiv 1502.03492
• arXiv 1703.04782
• Yang et al.
• Dey et al.
• Wen et al., ICLR 2026
• Liu et al.
• Andrychowicz et al.
• arXiv 1810.10180
• Metz et al. 2022
• Moudgil et al.
• Moudgil, Knyazev, Belilovsky
• Chen et al.
• Lange
• arXiv 2402.05828
• PNAS 2005
• METR
• Chan et al.
• Zhao et al.
• v1
• v2
• Prime Intellect
• Anthropic
• Anthropic
• Chan et al.
• Jordan
• arXiv 2303.16200
• PhilSci-Archive
• author summary
• Frontiers 2022
• Comptes Rendus Biologies
• ICLR 2025
• arXiv 2412.10270
• Shumailov et al., Nature 2024
• Congdon
• Marks, Lindsey, Olah
• Dehghani et al.
• Singh et al.
• Epoch
• NeurIPS workshop
• arXiv 2405.13058
• Cebrian
• iclr.cc
• arXiv v5
• GitHub
• arXiv
• repo
• Nikolic et al.
• Bruckner
• arXiv
• ACL
• Rawat et al.
• Xu et al.
• LessWrong comments
• arXiv
• arXiv
• Horwitz et al.
• iclr.cc
• arXiv 2507.03014
• CXO Digital Pulse
• HF docs
• ModelAtlasData
• GitHub
• arXiv
• Epoch
• LLMsPracticalGuide
• Gao & Gao
• Augment overview
• Anthropic
• Variant

Text licensed CC BY 4.0 (attribution: Hiina, ai.hiina.space). Source: https://github.com/hiinaspace/ai-hiina-space