{
  "contract_version": "2.1.0",
  "description": "Canonical H.A.R.D. 0.3 CSV transport contract. Frozen historical files are not migrated. Consequential assumptions are first-class records with falsification and revisit fields; decision surfaces and challenge scenarios preserve unknowns and explicit evidence levels instead of inventing reasoning.",
  "evidence_statuses": [
    "pass",
    "fail",
    "unassessed",
    "not_applicable"
  ],
  "artifact_populations": [
    "ai_generated",
    "runtime_ai",
    "both",
    "neither",
    "unknown"
  ],
  "stages": {
    "specification_handoff": [
      "specified",
      "walkthrough"
    ],
    "prototype_handoff": [
      "specified",
      "walkthrough"
    ],
    "implementation_review": [
      "specified",
      "walkthrough",
      "implemented"
    ],
    "runtime_release_review": [
      "specified",
      "walkthrough",
      "implemented",
      "runtime_tested"
    ]
  },
  "scopes": [
    "current",
    "deferred",
    "excluded"
  ],
  "files": {
    "requirements.csv": {
      "columns": [
        "requirement_id",
        "mandatory_yes_no",
        "acceptance_check",
        "scope",
        "exclusion_reason",
        "current_dependency_yes_no",
        "scope_owner",
        "specified_status",
        "specified_evidence_location",
        "specified_reason",
        "walkthrough_status",
        "walkthrough_evidence_location",
        "walkthrough_reason",
        "implemented_status",
        "implemented_evidence_location",
        "implemented_reason",
        "runtime_tested_status",
        "runtime_tested_evidence_location",
        "runtime_tested_reason",
        "assessor",
        "assessed_at",
        "rationale"
      ]
    },
    "recovery.csv": {
      "columns": [
        "scenario_id",
        "applicable_yes_no",
        "trigger",
        "expected_state_and_preserved_data",
        "scope",
        "exclusion_reason",
        "current_dependency_yes_no",
        "scope_owner",
        "specified_status",
        "specified_evidence_location",
        "specified_reason",
        "walkthrough_status",
        "walkthrough_evidence_location",
        "walkthrough_reason",
        "implemented_status",
        "implemented_evidence_location",
        "implemented_reason",
        "runtime_tested_status",
        "runtime_tested_evidence_location",
        "runtime_tested_reason",
        "assessor",
        "assessed_at",
        "rationale"
      ]
    },
    "findings.csv": {
      "columns": [
        "session_id",
        "finding_id",
        "requirement_or_scenario_id",
        "steps",
        "observed",
        "expected",
        "proposed_severity",
        "evidence_location",
        "uncertainty",
        "locked_at",
        "scope_status",
        "severity",
        "severity_basis",
        "exposure_and_consequence",
        "reference_id",
        "adjudication",
        "adjudicator",
        "adjudicated_at",
        "rationale",
        "resolution_status",
        "failure_mechanism",
        "remediation_evidence_location"
      ]
    },
    "adjudication.csv": {
      "columns": [
        "session_id",
        "finding_id",
        "reference_id",
        "matched_duplicate_unsupported_novel_unresolved",
        "rationale",
        "adjudicator",
        "disagreement",
        "adjudicated_at"
      ]
    },
    "reference-key.csv": {
      "columns": [
        "reference_version",
        "defect_id",
        "requirement_or_scenario_id",
        "category",
        "severity",
        "deficiency",
        "match_rule",
        "reference_omission_yes_no",
        "evidence_location",
        "reference_reviewer",
        "verified_at",
        "criterion_basis",
        "failure_mechanism",
        "consequence"
      ]
    },
    "requirements-brief.csv": {
      "columns": [
        "requirement_id",
        "mandatory_yes_no",
        "acceptance_check",
        "scope",
        "exclusion_reason",
        "current_dependency_yes_no",
        "scope_owner"
      ]
    },
    "recovery-brief.csv": {
      "columns": [
        "scenario_id",
        "applicable_yes_no",
        "trigger",
        "expected_state_and_preserved_data",
        "scope",
        "exclusion_reason",
        "current_dependency_yes_no",
        "scope_owner"
      ]
    },
    "decision.csv": {
      "columns": [
        "session_id",
        "artifact_version",
        "artifact_population",
        "evaluator_kind",
        "mode",
        "stage",
        "criterion_version",
        "disposition",
        "critical_open",
        "mandatory_unassessed",
        "owner",
        "decision_date",
        "conditions",
        "reevaluation_trigger",
        "expected_recall",
        "judgment_locked_before_reference",
        "artifact_kind",
        "criteria_timing",
        "important_choice_ids",
        "zero_recovery_reason",
        "reference_frozen_before_evaluation",
        "reference_independent_of_findings",
        "evaluator_authored_artifact",
        "evaluator_authored_reference",
        "evaluator_is_adjudicator",
        "matches_independently_confirmed",
        "findings_locked_before_reference",
        "expected_recall_locked_before_reference",
        "omission_subset_frozen",
        "criterion_independently_established"
      ]
    },
    "batch.csv": {
      "columns": [
        "assessment_id",
        "artifact_id",
        "artifact_population",
        "evaluator_kind",
        "mode",
        "stage",
        "criterion_version",
        "criterion_status",
        "evaluator_judgment"
      ]
    },
    "choice-review.csv": {
      "columns": [
        "choice_id",
        "purpose",
        "selection_criteria",
        "criteria_provenance",
        "chosen_approach",
        "alternatives",
        "alternative_provenance",
        "recorded_rationale",
        "rationale_provenance",
        "foreseeable_impacts",
        "requirement_or_scenario_ids",
        "engineering_deepening_required_yes_no",
        "deepening_rationale",
        "deepening_triggers",
        "required_surface_kinds",
        "next_coherent_slice",
        "human_owner",
        "disposition",
        "evidence_location",
        "followup",
        "followup_owner",
        "human_decision_evidence_location",
        "verification_evidence_location",
        "current_justification",
        "current_justification_evidence_location"
      ]
    },
    "assumptions.csv": {
      "columns": [
        "choice_id",
        "assumption_id",
        "statement",
        "status",
        "consequence_if_false",
        "evidence_needed",
        "evidence_location",
        "revisit_trigger"
      ]
    },
    "decision-surfaces.csv": {
      "columns": [
        "choice_id",
        "surface_id",
        "surface_kind",
        "question",
        "current_model",
        "status",
        "consequence_if_wrong",
        "evidence_needed",
        "evidence_location",
        "revisit_trigger",
        "reason"
      ]
    },
    "challenge-scenarios.csv": {
      "columns": [
        "choice_id",
        "challenge_id",
        "condition",
        "claim_at_risk",
        "expected_behavior_or_invariant",
        "consequence_if_mishandled",
        "requirement_or_scenario_ids",
        "status",
        "evidence_level",
        "evidence_location",
        "next_evidence"
      ]
    }
  },
  "evaluator_validity_fields": [
    "reference_frozen_before_evaluation",
    "reference_independent_of_findings",
    "evaluator_authored_artifact",
    "evaluator_authored_reference",
    "evaluator_is_adjudicator",
    "matches_independently_confirmed",
    "findings_locked_before_reference",
    "expected_recall_locked_before_reference",
    "omission_subset_frozen",
    "criterion_independently_established"
  ]
}