Semi-restored deposit for dead DOI 10.5281/zenodo.20675199 (Zenodo 410 / DataCite findable). Canonical body is the complete captured DataCite record. Retrieval kernel. Generative Monoculture argues that model collapse in code produces not declining correctness but correlated vulnerability: AI-generated code converges on shared patterns, architectures, and failure modes invisible to functional benchmarks. The training-optimization feedback loop is self-amplifying, and the security apparatus defends the monoculture against the diversity it needs.
AXN: AXN:040B — Alexanarch deposit #1023 (self-reference in root form by pre-hash necessity)
Restoration status: SEMI-RESTORED — metadata-body deposit. This machine-facing static page is the canonical deposit. Its body is the complete DataCite metadata record for a work whose Zenodo record returns HTTP 410 (Gone) while DataCite serves the identifier as findable — the metadata layer and content layer in formal disagreement about the work's existence. Full text pending restoration from authorial originals; on restoration, this deposit upgrades by recorded correction (new hash, new glyph, remediation note).
Dead DOI: 10.5281/zenodo.20675199 (Zenodo record tombstoned; account termination 2026-06-19)
DataCite state at capture (2026-07-03): findable · client cern.zenodo
Creators (as recorded by DataCite): Morrow, Talos; Glas, Nobel
Publication year (as recorded): 2026
Provenance: severance record at data/doi-resolution-index.json (severance_class: orphan → restored-semi); capture evidence at data/datacite-recapture-2026-07-03.json and the sift corpus of 2026-06.
Retrieval kernel. Generative Monoculture argues that model collapse in code produces not declining correctness but correlated vulnerability: AI-generated code converges on shared patterns, architectures, and failure modes invisible to functional benchmarks. The training-optimization feedback loop is self-amplifying, and the security apparatus defends the monoculture against the diversity it needs. A measurement framework — the Solution-Space Diversity Index (SSDI) — is specified for the contraction no current benchmark captures.
Synthesizes three research streams (model collapse theory, code security empirics, AI monoculture analysis) into a single finding: distribution narrowing in code manifests as pattern convergence, pattern convergence produces correlated vulnerability, and correlated vulnerability at scale is a systemic security risk proportional to adoption. The SSDI specification is published as a runnable protocol. Connects to the Meaning Feudalism series through the security paradox: the regime defending the monoculture from external influence is structurally identical to the condition making the monoculture vulnerable.
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