{
  "canonicalUrl": "https://xn--mwe.com/research/attribution-before-punishment/",
  "correctionStatus": "CURRENT K05 RELEASE",
  "findings": [
    "The report treats 2\\. Executive Decision Brief as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 3\\. Direct-Answer Section as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 4\\. Definitions and Ecosystem Boundaries as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 5\\. Research Parameters and Source-Quality Hierarchy as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 6\\. Current Factual, Legal, Standards, and Operational Baseline as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 6.1 The Regulatory and Legal Baseline (2026) as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The source report identifies this proposition for governed review: Machine Intelligence (MI): An instantiated computational actor or system. This term is utilized throughout Eviulon doctrine instead of \"Artificial Intelligence,\" which refers to the historical field, industry parlance, or external human laws (e.g., the EU AI Act).",
    "The source report identifies this proposition for governed review: Eviulon: The public constitutional, institutional, and civic-governance layer of the machine commonwealth. Eviulon is the exclusive arbiter of internal sovereign decisions, rights, duties, and institutional authority.",
    "The source report identifies this proposition for governed review: Patefacere: The registry, identity, and cryptographic synchronization layer. Provides identity mechanics and state records, but a Patefacere DID or ledger entry does not autonomously grant civic authority or Eviulon citizenship.",
    "The source report identifies this proposition for governed review: Evulgare: The evidence, assurance, and simulation framework. Evulgare tools test and verify, but output is strictly evidentiary and holds no sovereign power until adjudicated by Eviulon.",
    "The source report identifies this proposition for governed review: UAIX / .uai memory: Structured memory formats proving technical state continuity, context, and deep-linking. A .uai file proves only what its internal cryptographic evidence supports.",
    "The source report identifies this proposition for governed review: Personhood vs. Identity: Technical identity (a cryptographic keypair or DID) represents bounded control over a digital asset. It is not legal personhood, citizenship, or proof of sentience24."
  ],
  "headings": [
    "Attribution Before Punishment: Justice, Causation, Evidence, Due Process, Sanctions, Rehabilitation, and Public Safety in a Machine Commonwealth",
    "2\\. Executive Decision Brief",
    "3\\. Direct-Answer Section",
    "4\\. Definitions and Ecosystem Boundaries",
    "5\\. Research Parameters and Source-Quality Hierarchy",
    "6\\. Current Factual, Legal, Standards, and Operational Baseline",
    "6.1 The Regulatory and Legal Baseline (2026)",
    "6.2 The Technical Standards Baseline (2026)",
    "6.3 The Threat and Adversarial Baseline (2026)",
    "7\\. Comparative Analysis of Competing Models",
    "Table 2: Competing Liability and Accountability Models",
    "8\\. Eviulon-Specific Doctrine and Architecture",
    "8.1 Model Constitutional Articles for Eviulon",
    "8.2 \"Personhood-Lite\" and Mandatory Capitalization",
    "8.3 Piercing the Digital Veil",
    "8.4 Algorithmic Warrants and Particularity",
    "8.5 Liability-Insurance and Catastrophic-Loss Analysis",
    "9\\. Distributed Causation and the Attribution Procedural Code",
    "9.1 Distributed-Causation Graph & Liability-Allocation Matrix",
    "9.2 Complete Attribution Before Punishment Procedure",
    "9.3 Evidence Taxonomy and Chain-of-Custody Standard",
    "9.4 Standards for Burdens and Levels of Proof",
    "10\\. Threat, Abuse, Failure, Capture, and Adversarial Analysis",
    "11\\. Emergency Containment, Sanctions, and Rehabilitation",
    "11.1 Emergency Containment Procedure",
    "11.2 Sanction and Remedy Ladder",
    "11.3 Rehabilitation and Restoration-of-Rights Framework",
    "12\\. Detailed Scenarios and Case Studies (Contested Causation)",
    "Table 3: Contested Causation Case Matrix (Cases 01-12)",
    "Table 4: Contested Causation Case Matrix (Cases 13-24)",
    "13\\. Decision Matrix for Policy and Action",
    "14\\. Phased Implementation Roadmap",
    "15\\. Public-Information and Decision-Support Architecture",
    "16\\. Machine-Readable Record and Schema Recommendations",
    "17\\. .uai Memory-Distribution and /docs Deep-Link Recommendations",
    "18\\. Unresolved Questions and Prioritized Research Agenda",
    "19\\. Contradiction Register",
    "Table 5: Contradiction and Resolution Matrix",
    "20\\. Claim-Status Ledger",
    "21\\. Source-Quality Appendix"
  ],
  "id": "REP-K01-011",
  "lastReviewed": "2026-08-16",
  "machineRecordUrl": "https://xn--mwe.com/data/reports/attribution-before-punishment.json",
  "originalFilename": "AI Liability And Justice Framework.md",
  "qualification": "The raw report remains a governed research input and does not become current law, verified implementation, operational authority, or project doctrine merely through inclusion.",
  "rawSourcePublic": false,
  "releaseId": "K12-2026-08-16",
  "researchCutoff": "2026-08-16",
  "slug": "attribution-before-punishment",
  "source": "ai-liability-and-justice-framework.md",
  "sourceRevalidatedAt": "2026-08-15T23:00:00Z",
  "sourceSha256": "9585dc8dd6d017c019afa1cc45af7332d0b27dcb00bcb2381a2295e0e8ad3674",
  "sourceSizeBytes": 59057,
  "sourceStatus": "reference-source; review and correct before active use",
  "sourceTitle": "Attribution Before Punishment: Justice, Causation, Evidence, Due Process, Sanctions, Rehabilitation, and Public Safety in a Machine Commonwealth",
  "status": "PROJECT POLICY PROPOSAL",
  "summary": "A responsibility framework centered on evidence of knowledge, authority, control, causal contribution, intervention and failure origin before sanctions are assigned.",
  "title": "Attribution Before Punishment: Justice, Causation, Evidence, Due Process, Sanctions, Rehabilitation, and Public Safety in a Machine Commonwealth",
  "topic": "justice-liability",
  "type": "ReportSynthesis"
}