OPENAIR 2026 · pp. 13–22 · 9 November 2026 · 10.xxxx/ctm.pr.2026.0012
Model checkpoints are cited by URL and then disappear. We propose a metadata profile for model checkpoints that supports DOIs, content hashes and links to training data and code, and evaluate it by retro-fitting 120 published checkpoints.
OPENAIR 2026 · pp. 23–28 · 9 November 2026 · 10.xxxx/ctm.pr.2026.0013
Datasheets improve transparency but are time-consuming to write. We show that a template-driven workflow with automatic statistics halves the time to a complete datasheet and increases the completeness of answers on a fifteen-item rubric.
OPENAIR 2026 · pp. 41–46 · 9 November 2026 · 10.xxxx/ctm.pr.2026.0015
We attempt to build and run 400 research repositories released between 2019 and 2021. Only 38% still run without modification; the most common causes are unpinned dependencies and removed external data. Archived releases with lock files survive at more than twice the rate.
Version 1.0 · CC BY 4.0 · 19 October 2026 · 10.xxxx/ctm.ar.2026.0005
2,400 anonymised checklist responses with an independent assessment of whether each claim is supported by the accompanying paper. Basis of the OPENAIR 2026 audit.
1st edition · 186 pages · ISBN 978-0-00-100003-6 · 24 April 2026 · 10.xxxx/ctm.bk.2026.0003
A step-by-step handbook for sharing datasets, code and models so that others can find, cite and reuse them. It covers licences, documentation, identifiers, repositories, privacy, and long-term preservation, with checklists that can be adopted by labs and venues.
Version 1.0 · CC BY 4.0 · 6 March 2026 · 10.xxxx/ctm.ar.2026.0004
Configurations, training curves and evaluation metrics for 1,160 fine-tuning runs across six model sizes and four adaptation methods. Model weights are not included.
Version 1.1 · CC BY 4.0 · 27 February 2026 · 10.xxxx/ctm.ar.2026.0003
A registry of 4,000 synthetic tools with descriptions, argument schemas and three task families, used to study tool selection at scale. Also includes a small registry of 600 real API descriptions.