Obscure AI: a multi-source, evidence-tiered atlas of AI edge cases

Version 1.3.4 (2026-08-02): methodology movement-count corrected (nineteen to sixteen); intermediate-file reconstruction disclosed; figure script (make_figure1.py) and sample re-fetch added. Case records unchanged. Version 1.3.3 (2026-08-02): adds the validation/ folder (link-liveness and two-rater tier-agreement studies as executable scripts with results) and removes the zeroed pipeline-telemetry block from the JSON. Case records unchanged. Version 1.3.2 (2026-08-01): re-anchored 105 regulator/court records to primary documents (top tier now 417, all primary-anchored); replaced analyze.py with a dependency-free reproduce_corpus_stats.py; relicensed CC BY-SA 4.0 to match the AIAAIC upstream. Record identifiers unchanged.An open, multi-source atlas of documented AI/algorithmic edge cases — security disclosures, regulator and court records, and media-reported incidents — spanning 1,142 cases across 64 jurisdictions and 38 source languages. Each record carries an honest evidence tier (security disclosure / regulator-court / contested-interim / media incident), a bounded claim, and a link to the primary or aggregator source. Built from public sources via a reproducible pipeline (multi-source ingest, materiality gating, verbatim-quote verification, human acceptance). Version 1.2.0 adds primary regulator/court records from Italy, Austria, Germany, Sweden, France, Canada (courts), the European Court of Human Rights, the CJEU, the EPO Boards of Appeal, the Netherlands and Kenya, plus a frozen-snapshot folder (2026-07-04, 1,044 cases) with the exact analysis inputs/outputs behind a companion analysis article. CC BY-SA 4.0.