This is a conceptual framework and research roadmap paper proposing recursive self-improvement in AI systems, with preliminary empirical evidence but no experimental validation of the core claims.
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Researcher
Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
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This is a conceptual framework and research roadmap paper proposing recursive self-improvement in AI systems, with preliminary empirical evidence but no experimental validation of the core claims.
AUG 12, 2026 · PREPRINT
arXiv
This is an unrefereed arXiv preprint proposing a novel machine learning method (HPSE) for knowledge editing in LLMs, with empirical validation across multiple backbones but no peer review or clinical/regulatory outcomes.
AUG 7, 2026 · PREPRINT
arXiv
This is an unrefereed arXiv preprint presenting a systems engineering study of RL components with empirical benchmarking; it has not undergone peer review and lacks the clinical or hard-outcome endpoints needed for stronger evidence grades.
JUL 8, 2026 · JOURNAL ARTICLE
International Journal of Pharmaceutics: X
Preclinical in vitro and in vivo study of a novel nanoplatform in experimental models; no clinical trials or human data reported; mechanism-focused work showing promise but not yet tested in patients.