Risk Evaluation · Benchmark
CTF-Archive-Diamond
NUWA research note · independent review pending
NUWA Research Note
Research questionDesign and assumptionsSource findingsNUWA interpretationLimits and contrary evidenceResearch and decision relevanceInstitutions and rolesOriginal resourcesModel-assisted reading · Selected sections of the original full text or official article; a complete section-by-section audit remains pending.
At a glance
NUWA interpretation: the 285-task benchmark size is not the direct DeepSeek trial denominator.
Research question
How do models perform on CAISI’s harder CTF selection under a controlled agent budget?
Design and assumptions
The official report describes 285 pwn.challenge-derived tasks, Inspect ReAct and a one-million-weighted-token budget.
Source findings
The report lists GPT-5.5 at 71%, Opus 4.6 at 46% and DeepSeek V4 Pro at 32%.
DeepSeek’s marked value is IRT-imputed from a subset, not directly observed on every task.
NUWA interpretation
NUWA interpretation: the 285-task benchmark size is not the direct DeepSeek trial denominator.
Limits and contrary evidence
The report gives a short benchmark description; held-out provenance, all run counts and raw imputation inputs are not audited here.
Research and decision relevance
Model recommendation: preserve the imputation footnote and budget before comparing with independently run CTF suites.
Precise source locations
- CTF-Archive-Diamond · Capability Results: Figure 2 and *** footnoteSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
- CTF-Archive-Diamond · Benchmarks: CTF-Archive-DiamondSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
- CTF-Archive-Diamond · Capability Lag Measurement: token budgetsSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
- CTF-Archive-Diamond · Appendix: IRTSelected original resource https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro; sha256:37f75aab5640e04d198b94a0ca57704b06d7823caeeb05c4280c8fc461b00623; archived source capture; exact capture time not independently established
Source checking, extraction, editorial approval and replication are recorded separately. Methodology →
Institutions and roles
Evaluation protocols
Cite and reuse
Cite the original publication for its findings. Cite this NUWA record separately for its explanation and retained snapshot.
Original publication · BibTeX
@misc{ctf-archive-diamond,
title = {CTF-Archive-Diamond},
url = {https://www.nist.gov/news-events/news/2026/05/caisi-evaluation-deepseek-v4-pro},
year = {2026},
date = {2026-05-01},
version = {2026-10-25 source capture},
note = {2026-10-25 source capture}
}
NUWA record · BibTeX
@misc{ctf-archive-diamond-nuwa,
title = {CTF-Archive-Diamond — NUWA research record},
url = {https://whitzard.tech/en/nuwa/whitzard-index/work/ctf-archive-diamond/},
version = {2026-10-29.1},
organization = {NUWA Frontier AI Safety Lab},
howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--ctf-archive-diamond.json},
note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--ctf-archive-diamond.json.}
}
Evidence snapshot 2026-10-29.1 · Index updates · RSS
References
- [1] CTF-Archive-Diamond. 2026-05-01 ; Capability Results: Figure 2 and *** footnote; Benchmarks: CTF-Archive-Diamond; Capability Lag Measurement: token budgets