ArticleData in brief2026
Nekropolis: a cross-domain dataset of computer-science retractions and AI-governance lifecycle records (2018-2026).
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
Nekropolis is a curated public-record corpus of 14,923 artifacts (2018-2026) that were retracted, withdrawn, revoked, archived, or discontinued across computer-science research and adjacent digital-governance infrastructure, under one entry schema. The corpus is dominated by computer-science/AI-related journal retractions: the Retraction Watch slice is 90.5% of the release and is described throughout as an AI/ML/CS-related candidate slice, not an adjudicated AI-only set. Source families include journal retractions, preprint withdrawals, public retraction-flag metadata, trusted-service lifecycle changes, archived governance repositories, withdrawn benchmarks, closed European Digital Identity Wallet pilots, and one rescinded public model demo. Each record carries an artifact category, lifecycle dates, a source-stated reason where available, a conservative project-inferred cause label, and hashed source pointers. The corpus is descriptive; it is not an assessment of researchers, institutions, publishers, repositories, or service providers. The dataset can be reused for source-stratified study of negative governance evidence, temporal-awareness tests in retrieval systems, and evaluation of systems that extract evidence from public lifecycle records while preserving abstention when sources are silent. A versioned Zenodo package provides the release file, candidate-holdout file, schema, pipelines bundle, build notes, and manuscript source. The counts describe one curated release slice built under named gates and are not prevalence estimates.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.