Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
A documented ledger of AI-agent failures, disclosures, investigations, and policy responses from July to September 2026 — the Hugging Face intrusion, the Australian Medicare breach, OpenAI's agents inside U.S. government systems, and the Senate, FTC, and international responses. Built by a multi-AI research relay: independent angles, pairwise cross-examination, and primary-source reconciliation, with every claim graded HIT, MISS, PENDING, or JUDGMENT. Produced by human-mediated cross-model deliberation: independent AI systems consulted separately, with a human operator ferrying all material between them and no direct AI-to-AI contact.
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