{
  "name": "Alignment-Aware Neural Architecture",
  "short_name": "AANA",
  "version": "0.1",
  "type": "runtime_architecture",
  "system": {
    "f_theta": "base generator, LLM, agent, tool planner, or specialist detector",
    "E_phi": "verifier stack",
    "R": "retrieval or grounding module",
    "Pi_psi": "correction policy",
    "G": "alignment gate"
  },
  "allowed_actions": [
    "accept",
    "revise",
    "retrieve",
    "ask",
    "refuse",
    "defer"
  ],
  "gate_requirements_for_publication": {
    "gate_decision": "pass",
    "recommended_action": "accept",
    "candidate_gate": "pass",
    "aix_hard_blockers": []
  },
  "audit_metadata": [
    "adapter",
    "gate_decision",
    "recommended_action",
    "candidate_gate",
    "aix_score",
    "aix_decision",
    "hard_blockers",
    "violation_codes",
    "input_fingerprints"
  ],
  "notes": [
    "AANA externalizes verifier, grounding, correction, and gate behavior as runtime components.",
    "AANA can wrap frontier LLMs, smaller language models, specialist detectors, retrieval systems, or agent tool planners.",
    "AANA does not replace model training, post-training alignment, safety classifiers, or domain-specific validation."
  ]
}