A Global Author-Identity Map for the World of Code:62.7M Developer Identities from 106.8M Author Strings over 5.87B Commits

• URL: http://arxiv.org/abs/2607.06183v1
• Date: Tue, 07 Jul 2026 12:09:45 GMT
• Title: A Global Author-Identity Map for the World of Code:62.7M Developer Identities from 106.8M Author Strings over 5.87B Commits
• Abstract summary: We release a curated author-identity map for World of Code (WoC) version V2604 covering all 5,866,595,698 commits.<n>The map is mega-cluster free, its largest cluster 6,910 ids (one GitHub noreply identity), and it resolves 73.5% of six billion commits into multi-id identities.<n>We report both error families, splitting and clumping, and show the high precision claimed by global-scale union maps can be an artifact of never measuring the conflated region.
• Score: 2.788646205877688
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Mining software repositories at global scale founders on author identity: the same developer commits under many name/email strings, and the same string is reused by many developers. We release a curated author-identity map for World of Code (WoC) version V2604, covering all 5,866,595,698 commits. It ships four co-versioned artifacts: a global alias map (a2AFullSUG) folding 106,826,059 raw author/committer strings into canonical identities; a per-identity classification (A2clsFull) tagging each id good, bad-by-attribute, local, bot, or partial; a within-project table (P2aAFull) recovering low-quality ids inside the one project where their reuse is unambiguous; and a commit-to-identity table (c2AFull) tagging every commit with its resolution provenance. The map is mega-cluster free, its largest cluster 6,910 ids (one GitHub noreply identity), and it resolves 73.5% of six billion commits into multi-id identities, raising human-id commit coverage to 98.17%. The design problem is clumping, not recall: a naive transitive union over shared-attribute edges welds three million unrelated people into one cluster, an over-merge that recall-only benchmarks price at zero. We report both error families, splitting and clumping, and show the high precision claimed by global-scale union maps can be an artifact of never measuring the conflated region. Against the ALFAA human-rated gold set the map scores recall 0.70 / precision 0.88, where the prior WoC map's apparent 0.95 precision collapses to 0.52 once its 3,006,318-id mega-cluster is counted. A canonical software-author identity is also a cross-corpus join key to scholarly author graphs, where clumping is again the binding constraint. All artifacts ship with the WoC V2604 release and a self-contained replication package.

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