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Paper & Citation

Citation details and a concise overview of the ASI-Bench paper and benchmark contributions.

Benchmark Overview
Title ASI-Bench: At the Dawn of Artificial Superintelligence
Preprint arXiv:2608.17271
PDF Read the paper
Repository github.com/apexin-ai/ASI-Bench
Website asibench.apexin.ai

Cite ASI-Bench

Please cite the ASI-Bench arXiv preprint:

BibTeX arXiv:2608.17271 
@misc{zhou2026asibench,
  title         = {{ASI-Bench}: At the Dawn of Artificial
                   Superintelligence},
  author        = {Junwei Zhou and Zhen Sun and Binyu Li and
                   Jiangyu Zhou and Yuexi Pan and Hengyu Wang
                   and Honghe Ren and Xiaohan Jia and others},
  year          = {2026},
  eprint        = {2608.17271},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2608.17271}
}

The preprint was released on August 18, 2026.

Key Contributions

The paper presents:

  1. Three dimensions of intelligence — a joint evaluation of general intelligence, innovation, and autonomous execution
  2. Controlled guidance withdrawal — the same research objective, data, outputs, and scoring are held fixed while human methodological guidance is progressively removed
  3. Project-level scientific research — 60 long-horizon tasks across 11 domains requiring method selection, implementation, experimentation, and verifiable artifacts
  4. Rigorous construction and validation — expert review, AI-assisted auditing, sandbox execution, and task-specific scorer validation
  5. A diagnostic result — the largest average drop occurs from B1 to B2, identifying method operationalization as a larger bottleneck than method selection or distractor robustness