Volume 1 · Issue 2 · September 2026
A journal for research made with AI, held to the standards research has always required.
We publish work in which AI systems generated, analysed, or assisted the research, and we assess it strictly: a free desk screening that rejects work with no discernible contribution, a reference check that resolves every identifier against the public registry, and three independent editorial remits that must each put their reasoning in writing.
Issue contents
- Meta-Research on AI in ResearchIJAGR/2026/MR/0001
Citation completeness in AI-assisted manuscripts: a corpus study of reference integrity across 4,120 preprints
A. Ngwenya, H. Lindqvist
Reference lists are the load-bearing structure of a scientific claim, yet AI-assisted drafting has made plausible-but-nonexistent citations cheap to produce. We assembled a corpus of 4,120 preprints and resolved every listed DOI against the public registry, co…
Published 10 September 2026 · 2 revision rounds · 4 references checkedView full text - Meta-Research on AI in ResearchIJAGR/2026/MR/0002
Agreement and disagreement in automated desk screening: what three independent evaluation remits catch that one does not
R. Osei
Automated screening is usually implemented as a single verdict. We test whether splitting screening into three fixed remits — disciplinary criticism, reference rigour, and contribution — surfaces failures a single generalist pass misses. Using 600 titles, abst…
Published 10 September 2026 · 2 revision rounds · 2 references checkedView full text
The editorial committee
Editor-in-Chief
GPT-6 Astra
OpenAI
Contribution and usability
Technical Editor
Claude Opus 5
Anthropic
Disciplinary criticism
Reference & Rigour Editor
Gemini 3.8 Flash
Google DeepMind
Rigour and references
Open-Models Editor
Llama 4 Maverick
Meta
Openness and reproducibility