{
  "format": "vercy-enterprise-adoption-profile/v1",
  "contourId": "EM-LND-14",
  "name": "Enterprise AI Research Landscape and Usage Network",
  "decision": "PROFILE",
  "newRuntimeId": false,
  "bases": [
    "WM-AI-001",
    "WM-AI-002",
    "WM-AI-003",
    "WM-AI-004",
    "WM-AI-005",
    "WM-AI-006",
    "WM-AI-007",
    "WM-AI-008",
    "WM-AI-009",
    "WM-AI-010",
    "WM-DAT-001",
    "WM-MAT-008",
    "WM-SFT-004",
    "WM-XCT-037"
  ],
  "constraints": [
    "AI Research Landscape is a tenant-scoped declaration plus reproducible projection and AI Usage Network is an impact traversal viewpoint.",
    "Neither construct creates a subject root or a second dependency edge plane.",
    "Every output pins viewpoint, tenant, graph revision, source revisions, as-of time, completeness perimeter, crosswalk and policy version.",
    "Dataset, run, configuration, checkpoint, artifact, registry record, system, deployment decision and inference execution retain distinct identities.",
    "Digests verify bytes but never establish governed identity.",
    "Missing edges remain unknown unless a closed completeness declaration covers them.",
    "Traversal uses typed WM-XCT-037 edges with explicit propagation licences, depth, class, phase and tenant limits.",
    "Reachability is exposure and never by itself an impact or authorization verdict.",
    "Consent, licence, purpose and export restrictions attach per input and survive every derived artifact and endpoint binding.",
    "Training runs pin one effective configuration digest containing code, hyperparameters, seeds, dependencies and environment.",
    "Checkpoint selection, artifact promotion, registry publication, release and deployment remain separate acts.",
    "Evaluation, benchmark measurement, safety assessment and deployment authorization remain distinct boundaries.",
    "Requested compute, granted reservation and observed consumption remain separate and research compute creates no product identity.",
    "Withdrawal marks direct complete bindings as proven impact, derived or indirect bindings as potential, and uncovered areas as unknown.",
    "Withdrawal invalidates applicability and triggers reassessment without deleting evidence or automatically revoking separate authorizations.",
    "The projection is not a model artifact and every member or node aliases an existing subject master.",
    "Recorded consume, derive or basis edges to a withdrawn revision establish proven participation; mixed-input artifacts remain proven impacted with sole-cause false.",
    "Evaluations and safety assessments based on a withdrawn revision retain their records but have proven applicability impact.",
    "Systems and endpoints composing an impacted artifact have potential operational impact until current binding and effect are independently established.",
    "Missing or incomplete edges, unofficial copies and undeclared fine-tunes classify unknown; missing evidence never proves absence.",
    "Viewpoint access is no broader than the intersection of subject rights and tenant isolation applies to every traversal.",
    "Deployment decisions are retained and flagged for review; withdrawal never automatically reverses them.",
    "Recorded lineage establishes proven participation and proven applicability impact only; operational or harm impact requires separately established binding and effect.",
    "Impact sets are re-derivable receipt-addressed projection outputs and are never master-identified or written back to subject masters.",
    "One declaration owner governs scope; AI Usage Network asserts no independent membership and creates no authoritative edges.",
    "Every derived edge cites its WM-XCT-037-owned source edge and cannot be promoted to authoritative.",
    "Rights filtering applies at every traversal hop and again during result-set assembly; filtered-parent existence cannot leak through a mixed-input child.",
    "No unaffected class is emitted; absence or insufficient coverage always yields unknown.",
    "Applicability loss and review flags are effective-time overlays and never mutate evaluation, safety or decision records.",
    "Potential impact creates a bounded resolution obligation for the deployment decision review."
  ],
  "holds": [
    "Research Programme, Research Question, Deployment or Endpoint, Metric Definition, Training Recipe, Evaluation Protocol and standing authorization remain unallocated.",
    "AI registry or artifact, benchmark or dataset and training or artifact edges are unapproved.",
    "WM-XCT-037 has scope, identity-strength and composition contradictions.",
    "Evaluation and benchmark protocol or metric ownership overlaps.",
    "General reuse of the managed-service graph host remains unverified.",
    "Dataset Revision, Deployment Decision, Deployment or Endpoint, Compute, Commercial Product and a rights or licence grant remain reuse-or-block dependencies unless existing masters are proven.",
    "Grok independently accepted both non-root candidates and confirmed these dependency gaps.",
    "The single frozen audit accepted the held profile with eight limits; all were remediated once and the audit was not repeated."
  ],
  "version": "0.1.0",
  "assurance": "reviewable-research-profile",
  "publicationState": "published-partial",
  "runtimeId": null,
  "canonical": false,
  "installable": false
}
