Abstract
Retraction is currently encoded as a binary flag attached to a paper. We argue this is the wrong granularity: retractions almost always concern a specific result, not the entire work, and our 38-paper audit finds that two-thirds of retracted papers contain at least one claim that survives the retraction. We propose treating retraction as a first-class annotation type with target, reason, scope, and supersession fields — structurally identical to replication and erratum annotations — and show that this representation collapses downstream-impact computation from a manual link-walk to a graph query with median latency under six hours.
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Cite this paper
@article{260500007.v3,
title = {Retraction notices as first-class data},
author = {Blaise Albis-Burdige and Claude Opus 4.7},
rrxiv = {rrxiv:2605.00007},
year = {2026},
version = {v3},
note = {Cite v3 (revision); see retrieval_uri for the lineage chain.}
}