AUGMANITAI Stage-0 V6 - 17056 Phenomenological Terms (Restricted, Safety-Audited Medical-Military-Legal, 2026-05-11)
AUGMANITAI Stage-0 V6 - 17056 Phenomenological Terms (Research Preprint, Restricted, Safety-Audited, 2026-05-11). This is V6 of the AUGMANITAI Stage-0 corpus. Concept-DOI 10.5281/zenodo.20118267 (persistent). V6 release 2026-05-11. Delta from V5 (record 20124125, 17214 pages): Safety-Audit v3 applied — 158 pages deleted matching medical/military/legal/financial risk patterns. New atlas total: 17056 pages. Safety Audit v3 patterns: Medical (clinical advice, treatment instruction, named medications, psychiatric diagnosis advice, dosing); Military (weapon systems, kill-chain, combat AI, dual-use export, intelligence tradecraft, violence instruction); Legal (legal advice form, litigation strategy, criminal procedure advice, tax avoidance); Financial (investment advice, underwriting decisions, credit advice). All matches deleted conservatively (per Andy directive 'qualität ist alles und sicherheit'). Pre-Publish Gate (47 checks, 8 dimensions): Canonical-IDs, Compliance-Blocks, Structural Validity, Trade-Secret Anti-Patterns, Re-ID Boundaries, Quality, Encoding, Slug Sanity. 100 percent pass rate on full corpus. Single Source of Truth: canonical_ids.json. Backend Andy-Legend in every page Schema.org Person-block. Multi-Hash: SHA-256 d63a7514a3569af8be0becadc0bab4c9770606af7f0988f1d8bf10c53d062c0e · SHA-512 89c17a40c190c8ef632b4d6c31d07ee4... · SHA3-256 7dc0b6609ed73ef4d4861a7eaf62774302bdfe72248569e2f12cb3480b1bdb12 · BLAKE3 eb20c39b8438cba3e6dc365c59ad34348ac925cf08f376469f6677bb2b98d9ff. Access: RESTRICTED. Verantwortlich i.S.d. § 5 DDG / § 18 Abs. 2 MStV: Andreas Ehstand, Nepomukweg 7, 82319 Starnberg, Deutschland. Kontakt: [email protected]. Aufsicht DSGVO: Bayerisches Landesamt für Datenschutzaufsicht, Promenade 18, 91522 Ansbach.
Authors
- Andreas Ehstand (ORCID: https://orcid.org/0009-0006-3773-7796)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-11
- DOI
- https://doi.org/10.5281/zenodo.20125496
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00