--- before
+++ after
@@ -0,0 +1,1912 @@
+"""Package Codex-written answer-validation outputs."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import re
+import sys
+import tempfile
+from pathlib import Path
+from typing import Any
+
+PLUGIN_ROOT = Path(__file__).resolve().parents[1]
+for _vendor_root in (
+    PLUGIN_ROOT / "vendor" / "modules",
+    PLUGIN_ROOT.parent.parent / "vendor" / "modules",
+    PLUGIN_ROOT.parent / "_shared" / "vendor" / "modules",
+):
+    if (_vendor_root / "vera_assurance").is_dir():
+        if str(_vendor_root) not in sys.path:
+            sys.path.insert(0, str(_vendor_root))
+        break
+
+from vera_assurance import (  # noqa: E402
+    AssuranceContractError,
+    load_client_engagement_context_file,
+)
+
+try:
+    import pypandoc  # type: ignore[import-not-found]
+except ImportError:  # pragma: no cover - optional dependency
+    pypandoc = None  # type: ignore[assignment]
+
+try:
+    from docx import Document  # type: ignore[import-not-found]
+except ImportError:  # pragma: no cover - optional dependency
+    Document = None  # type: ignore[assignment]
+
+try:
+    from .review_session import (
+        synchronize_final_artifact_sizes,
+        write_review_session_artifacts,
+        write_run_intake,
+    )
+except ImportError:  # pragma: no cover - supports direct script imports
+    import importlib.util
+
+    _review_session_path = Path(__file__).resolve().parent / "review_session.py"
+    _review_session_spec = importlib.util.spec_from_file_location(
+        "mparanza_deep_research_validator_review_session",
+        _review_session_path,
+    )
+    assert _review_session_spec and _review_session_spec.loader
+    _review_session = importlib.util.module_from_spec(_review_session_spec)
+    sys.modules[_review_session_spec.name] = _review_session
+    _review_session_spec.loader.exec_module(_review_session)
+    synchronize_final_artifact_sizes = _review_session.synchronize_final_artifact_sizes
+    write_review_session_artifacts = _review_session.write_review_session_artifacts
+    write_run_intake = _review_session.write_run_intake
+
+__all__ = [
+    "build_audit",
+    "render_validation_package",
+    "try_write_docx",
+    "validate_answer_contract",
+    "write_validation_package",
+]
+
+import importlib.util  # noqa: E402
+
+_evidence_spec = importlib.util.spec_from_file_location(
+    "legal_tax_package_evidence", Path(__file__).with_name("evidence_refs.py")
+)
+assert _evidence_spec and _evidence_spec.loader
+_evidence = importlib.util.module_from_spec(_evidence_spec)
+_evidence_spec.loader.exec_module(_evidence)
+
+ANSWER_CONTRACT_REQUIRED_FIELDS = (
+    "schema_version",
+    "question_domain",
+    "generation_route",
+    "document_type",
+    "purpose",
+    "audience",
+    "output_language",
+    "jurisdiction_status",
+    "jurisdiction",
+    "evidence_display",
+    "validation_profile",
+    "validation_scope",
+    "correction_policy",
+    "judgment_policy",
+)
+ANSWER_CONTRACT_ENUMS = {
+    "question_domain": {"legal", "tax", "compliance", "mixed"},
+    "generation_route": {
+        "chatgpt_deep_research",
+        "codex_direct",
+        "deep_research_plugin",
+        "external_document",
+    },
+    "jurisdiction_status": {
+        "confirmed",
+        "assumed",
+        "unresolved",
+        "not_applicable",
+    },
+    "evidence_display": {
+        "inline_citations",
+        "footnotes",
+        "source_record_only",
+        "mixed",
+        "not_specified",
+    },
+    "validation_profile": {"source_identity_support_reasoning_and_judgment"},
+    "validation_scope": {
+        "all_material_claims",
+        "selected_material_claims",
+        "limited",
+    },
+    "correction_policy": {"correct_when_supported", "review_only"},
+    "judgment_policy": {"flag_for_professional_review"},
+}
+REVIEW_SCHEMA_VERSION = "2.2"
+ALLOWED_SUPPORT_STATUSES = {
+    "supported",
+    "partially_supported",
+    "not_supported",
+    "contradicted",
+    "uncertain",
+}
+ALLOWED_REASONING_STATUSES = {
+    "sound",
+    "partially_sound",
+    "unsound",
+    "uncertain",
+    "not_applicable",
+}
+ALLOWED_JUDGMENT_STATUSES = {
+    "not_judgment_dependent",
+    "professional_judgment_required",
+    "contested",
+    "uncertain",
+}
+ALLOWED_SOURCE_IDENTITY_STATUSES = {
+    "matches_cited_source",
+    "different_source",
+    "uncertain",
+    "not_assessed",
+}
+ALLOWED_AUTHORITY_RELATIONS = {
+    "official_full_text",
+    "official_summary_or_headnote",
+    "non_institutional_reproduction",
+    "secondary_commentary",
+    "uncertain",
+    "not_assessed",
+}
+ALLOWED_OFFICIAL_TEXT_ACCESS_STATUSES = {
+    "obtained",
+    "public_archive_outside_window",
+    "restricted_or_gated_archive",
+    "not_found_in_complete_official_archive",
+    "unavailable",
+    "not_applicable",
+    "not_assessed",
+}
+ALLOWED_TEXT_FIDELITY_STATUSES = {
+    "verified_against_official_text",
+    "corroborated_not_text_verified",
+    "not_verified",
+    "not_applicable",
+    "not_assessed",
+}
+TEXT_FIDELITY_LIMITED_STATUSES = {
+    "corroborated_not_text_verified",
+    "not_verified",
+    "not_assessed",
+}
+ALLOWED_ISSUE_TYPES = {
+    "none",
+    "source_unavailable",
+    "source_not_identified",
+    "wrong_source",
+    "wrong_source_version",
+    "wrong_jurisdiction_or_period",
+    "missing_source_support",
+    "partial_or_overbroad_support",
+    "source_contradiction",
+    "qualification_or_scope_distortion",
+    "temporal_or_modality_distortion",
+    "reasoning_gap",
+    "judgment_dependent",
+    "answer_contract_failure",
+}
+ALLOWED_TREATMENT_ACTIONS = {
+    "none",
+    "obtain_source",
+    "identify_source",
+    "replace_source",
+    "add_support",
+    "narrow_claim",
+    "correct_claim",
+    "restore_qualification",
+    "correct_time_or_modality",
+    "add_reasoning",
+    "state_uncertainty",
+    "remove_claim",
+    "professional_review",
+    "revise_answer_contract",
+}
+ISSUE_TREATMENT_ACTIONS = {
+    "none": {"none"},
+    "source_unavailable": {
+        "obtain_source",
+        "state_uncertainty",
+        "remove_claim",
+        "professional_review",
+    },
+    "source_not_identified": {
+        "identify_source",
+        "state_uncertainty",
+        "remove_claim",
+    },
+    "wrong_source": {"replace_source", "state_uncertainty", "remove_claim"},
+    "wrong_source_version": {
+        "replace_source",
+        "state_uncertainty",
+        "remove_claim",
+    },
+    "wrong_jurisdiction_or_period": {
+        "replace_source",
+        "state_uncertainty",
+        "remove_claim",
+    },
+    "missing_source_support": {
+        "add_support",
+        "narrow_claim",
+        "state_uncertainty",
+        "remove_claim",
+    },
+    "partial_or_overbroad_support": {
+        "add_support",
+        "narrow_claim",
+        "restore_qualification",
+        "state_uncertainty",
+    },
+    "source_contradiction": {"correct_claim", "remove_claim", "state_uncertainty"},
+    "qualification_or_scope_distortion": {
+        "restore_qualification",
+        "narrow_claim",
+        "correct_claim",
+    },
+    "temporal_or_modality_distortion": {
+        "correct_time_or_modality",
+        "narrow_claim",
+        "state_uncertainty",
+    },
+    "reasoning_gap": {
+        "add_reasoning",
+        "narrow_claim",
+        "state_uncertainty",
+        "remove_claim",
+    },
+    "judgment_dependent": {"professional_review", "state_uncertainty"},
+    "answer_contract_failure": {"revise_answer_contract"},
+}
+ALLOWED_TREATMENT_STATUSES = {
+    "not_needed",
+    "proposed",
+    "applied",
+    "blocked",
+    "professional_review_required",
+}
+ALLOWED_DISPOSITIONS = {
+    "retain",
+    "revise",
+    "remove",
+    "caveat",
+    "pending_source",
+    "professional_review",
+}
+ALLOWED_REVIEWER_ACTIONS = {
+    "accept",
+    "reject",
+    "edit",
+    "mark_unclear",
+    "request_more_documents",
+}
+ALLOWED_COVERAGE_SCOPES = {
+    "all_material_claims",
+    "selected_material_claims",
+    "limited",
+}
+ALLOWED_CONTRACT_CONFORMANCE_STATUSES = {
+    "conforms",
+    "partially_conforms",
+    "does_not_conform",
+    "uncertain",
+    "not_reviewed",
+}
+CONTRACT_REVIEW_DIMENSIONS = (
+    "question_answered",
+    "document_type",
+    "audience",
+    "evidence_display",
+)
+ALLOWED_OVERALL_OUTCOMES = {
+    "no_material_defect_identified",
+    "corrected",
+    "correction_required",
+    "evidence_limited",
+    "professional_review_required",
+    "not_reliable",
+    "uncertain",
+}
+ALLOWED_DOCUMENT_REVISION_STATUSES = {
+    "not_required",
+    "completed",
+    "required",
+    "blocked",
+    "professional_review_required",
+}
+
+
+def _language_code(value: object | None) -> str:
+    text = str(value or "en").strip().lower().replace("_", "-")
+    return next(
+        (code for code in ("it", "es") if text == code or text.startswith(code + "-")),
+        "en",
+    )
+
+
+def _read_json(path: Path) -> dict[str, Any]:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def _write_json(path: Path, payload: dict[str, Any]) -> None:
+    path.write_text(
+        json.dumps(payload, ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+
+
+def _clean_text(value: object) -> str:
+    return re.sub(r"\s+", " ", str(value or "")).strip()
+
+
+def _source_aliases(source: dict[str, Any]) -> set[str]:
+    aliases: set[str] = set()
+    for field in (
+        "source_id",
+        "url",
+        "requested_url",
+        "final_url",
+        "path",
+        "origin_path",
+        "name",
+    ):
+        value = _clean_text(source.get(field))
+        if value:
+            aliases.add(value)
+    return aliases
+
+
+def _resolve_source(
+    source_ref: str,
+    sources: list[dict[str, Any]],
+) -> tuple[str, dict[str, Any] | None]:
+    """Resolve only exact identifiers; source relevance remains model-led."""
+
+    # URL paths and local source paths can be case-sensitive. Exact identity
+    # matching must not merge distinct evidence before semantic review.
+    target = _clean_text(source_ref)
+    if not target:
+        return "missing_reference", None
+    matches = [source for source in sources if target in _source_aliases(source)]
+    if len(matches) == 1:
+        return "resolved", matches[0]
+    if len(matches) > 1:
+        return "ambiguous", None
+    return "not_in_inventory", None
+
+
+def _captured_source_text(
+    source: dict[str, Any],
+    source_base_dir: Path | None,
+) -> tuple[str, str, str]:
+    """Read a bounded captured source snapshot or fall back to its excerpt.
+
+    Relative capture paths are accepted only inside the source-inventory
+    directory. This fixed path rule is deterministic for filesystem safety; it
+    does not assess source meaning or authority.
+    """
+
+    return _evidence.read_capture(source, source_base_dir)
+
+
+def _exact_passage_observation(
+    source_check: dict[str, Any],
+    sources: list[dict[str, Any]],
+    source_base_dir: Path | None,
+) -> dict[str, Any]:
+    source_ref = _clean_text(source_check.get("source_ref"))
+    resolution, source = _resolve_source(source_ref, sources)
+    passage = _clean_text(
+        source_check.get("original_passage")
+        if source_check.get("passage_kind") == "translation"
+        else source_check.get("cited_passage")
+    )
+    observation: dict[str, Any] = {
+        "source_ref": source_ref,
+        "resolution_status": resolution,
+        "source_id": source.get("source_id") if source else None,
+        "access_status": source.get("status") if source else "not_observed",
+        "exact_passage_presence": "not_tested",
+        "observation_scope": "none",
+        "capture_id": None,
+        "capture_integrity": "not_tested",
+        "meaning": (
+            "Exact presence is a mechanical observation only and does not decide "
+            "semantic support."
+        ),
+    }
+    if source is None:
+        return observation
+    if (
+        source.get("capture_id")
+        or source.get("capture_history")
+        or source_check.get("capture_id")
+    ):
+        requested = source_check.get("capture_id")
+        if not requested:
+            observation["capture_integrity"] = "capture_reference_missing"
+            return observation
+        if requested != source.get("capture_id"):
+            matches = [
+                item
+                for item in source.get("capture_history", [])
+                if item.get("capture_id") == requested
+            ]
+            if len(matches) != 1:
+                observation["capture_integrity"] = "capture_reference_mismatch"
+                return observation
+            source = matches[0]
+        observation["capture_id"] = requested
+        observation["access_status"] = source.get("status")
+    observation["source_bytes_sha256"] = source.get("source_bytes_sha256")
+    observation["captured_original_path"] = source.get("captured_original_path")
+    source_text, scope, integrity = _captured_source_text(source, source_base_dir)
+    observation["observation_scope"] = scope
+    observation["capture_integrity"] = integrity
+    if (
+        integrity not in {"verified", "excerpt_only"}
+        or not passage
+        or not source_text.strip()
+    ):
+        return observation
+    target = _clean_text(passage)
+    haystack = _clean_text(source_text)
+    if source_check.get("passage_kind") not in {"verbatim", "translation"}:
+        target, haystack = target.casefold(), haystack.casefold()
+    observation["exact_passage_presence"] = (
+        "present" if target in haystack else "absent"
+    )
+    return observation
+
+
+def _passage_disposition_errors(
+    check: dict[str, Any], observation: dict[str, Any], base: Path | None
+) -> tuple[list[str], bool]:
+    """A literal anomaly needs treatment; matching never establishes support."""
+    kind = check.get("passage_kind")
+    if not isinstance(kind, str) or kind not in {
+        "none",
+        "verbatim",
+        "paraphrase",
+        "translation",
+    }:
+        return ["passage_kind_required"], False
+    if kind == "none" and _clean_text(check.get("cited_passage")):
+        return ["passage_kind_conflicts_with_text"], False
+    if kind == "translation" and not _clean_text(check.get("original_passage")):
+        return ["translation_requires_original_passage"], False
+    if kind == "verbatim" and not _clean_text(check.get("cited_passage")):
+        return ["verbatim_requires_passage"], False
+    if (
+        kind not in {"verbatim", "translation"}
+        or observation["exact_passage_presence"] == "present"
+    ):
+        return [], False
+    disposition = check.get("passage_disposition")
+    if not isinstance(disposition, dict) or not _clean_text(
+        disposition.get("analysis")
+    ):
+        return ["verbatim_discrepancy_requires_disposition"], False
+    if disposition.get("capture_id") != observation.get("capture_id"):
+        return ["passage_disposition_capture_mismatch"], False
+    if disposition.get("status") == "evidence_limit":
+        return (
+            ([], True)
+            if check.get("limitations")
+            else (["passage_limit_requires_disclosure"], False)
+        )
+    if (
+        disposition.get("status") != "verified_in_original"
+        or base is None
+        or not observation.get("captured_original_path")
+    ):
+        return ["passage_disposition_requires_original_inspection"], False
+    reference = disposition.get("reference")
+    if not isinstance(reference, dict) or reference.get("kind") != "inspection_note":
+        return ["passage_disposition_requires_inspection_reference"], False
+    try:
+        note = _evidence.reference_value(base, reference)
+    except (ValueError, OSError):
+        return ["passage_inspection_reference_invalid"], False
+    original = (
+        check.get("original_passage")
+        if kind == "translation"
+        else check.get("cited_passage")
+    )
+    if (
+        not isinstance(note, dict)
+        or note.get("capture_id") != observation.get("capture_id")
+        or note.get("source_bytes_sha256") != observation.get("source_bytes_sha256")
+        or note.get("quoted_passage") != original
+        or not _clean_text(note.get("original_locator"))
+    ):
+        return ["passage_inspection_note_does_not_match_capture"], False
+    return [], False
+
+
+def validate_answer_contract(answer_contract: dict[str, Any]) -> dict[str, Any]:
+    """Validate the explicit answer handoff without making semantic choices."""
+
+    missing_fields = [
+        field
+        for field in ANSWER_CONTRACT_REQUIRED_FIELDS
+        if not isinstance(answer_contract.get(field), str)
+        or (
+            field != "jurisdiction"
+            and not str(answer_contract.get(field) or "").strip()
+        )
+    ]
+    invalid_fields = [
+        field
+        for field, allowed in ANSWER_CONTRACT_ENUMS.items()
+        if str(answer_contract.get(field) or "").strip() not in allowed
+    ]
+    jurisdiction_status = str(answer_contract.get("jurisdiction_status") or "").strip()
+    jurisdiction = str(answer_contract.get("jurisdiction") or "").strip()
+    if jurisdiction_status in {"confirmed", "assumed"} and not jurisdiction:
+        invalid_fields.append("jurisdiction")
+    invalid_fields = list(dict.fromkeys(invalid_fields))
+    return {
+        "status": "pass" if not missing_fields and not invalid_fields else "fail",
+        "missing_fields": missing_fields,
+        "invalid_fields": invalid_fields,
+        "policy": (
+            "shape_validation_only; document type, route, jurisdiction, and "
+            "validation posture are model-led or user-confirmed"
+        ),
+    }
+
+
+def _claim_index(value: object, fallback: int) -> int:
+    try:
+        parsed = int(value or fallback)
+    except (TypeError, ValueError):
+        return fallback
+    return parsed if parsed > 0 else fallback
+
+
+def _string_list(value: object) -> bool:
+    return isinstance(value, list) and all(isinstance(item, str) for item in value)
+
+
+def _assessment_is_valid(value: object, allowed_statuses: set[str]) -> bool:
+    return (
+        isinstance(value, dict)
+        and _clean_text(value.get("status")) in allowed_statuses
+        and bool(_clean_text(value.get("analysis")))
+    )
+
+
+def _reasoning_is_valid(value: object) -> bool:
+    if not isinstance(value, dict):
+        return False
+    return (
+        _assessment_is_valid(value, ALLOWED_REASONING_STATUSES)
+        and _string_list(value.get("supported_premises"))
+        and _string_list(value.get("missing_premises"))
+    )
+
+
+def _judgment_is_valid(value: object) -> bool:
+    if not isinstance(value, dict):
+        return False
+    return (
+        _assessment_is_valid(value, ALLOWED_JUDGMENT_STATUSES)
+        and _string_list(value.get("factors"))
+        and _string_list(value.get("alternative_interpretations"))
+    )
+
+
+def _issues_are_valid(value: object, *, allowed_types: set[str]) -> bool:
+    if not isinstance(value, list) or not value:
+        return False
+    issue_types: list[str] = []
+    for issue in value:
+        if not isinstance(issue, dict):
+            return False
+        issue_type = _clean_text(issue.get("type"))
+        treatment_action = _clean_text(issue.get("treatment_action"))
+        treatment_status = _clean_text(issue.get("treatment_status"))
+        if (
+            issue_type not in allowed_types
+            or not _clean_text(issue.get("explanation"))
+            or treatment_action not in ALLOWED_TREATMENT_ACTIONS
+            or treatment_action not in ISSUE_TREATMENT_ACTIONS.get(issue_type, set())
+            or treatment_status not in ALLOWED_TREATMENT_STATUSES
+            or not _clean_text(issue.get("treatment_explanation"))
+        ):
+            return False
+        if issue_type == "none":
+            if treatment_action != "none" or treatment_status != "not_needed":
+                return False
+        elif treatment_action == "none" or treatment_status == "not_needed":
+            return False
+        issue_types.append(issue_type)
+    return not ("none" in issue_types and len(issue_types) != 1)
+
+
+def _non_none_issues(value: object) -> list[dict[str, Any]]:
+    """Return recorded issue treatments other than the explicit no-issue marker."""
+
+    if not isinstance(value, list):
+        return []
+    return [
+        issue
+        for issue in value
+        if isinstance(issue, dict) and _clean_text(issue.get("type")) != "none"
+    ]
+
+
+def _source_check_consistency_errors(source_check: dict[str, Any]) -> list[str]:
+    """Validate only contradictions among explicit source-provenance codes.
+
+    Authority relation, archive coverage, and text fidelity remain model-led
+    judgments. Fixed checks are justified because they enforce the declared
+    record contract without deciding those semantic classifications.
+    """
+
+    errors: list[str] = []
+    authority_relation = _clean_text(source_check.get("authority_relation"))
+    official_text_access = _clean_text(source_check.get("official_text_access"))
+    text_fidelity = _clean_text(source_check.get("text_fidelity"))
+    limitations = source_check.get("limitations")
+
+    if authority_relation == "official_full_text" and (
+        official_text_access != "obtained"
+        or text_fidelity != "verified_against_official_text"
+    ):
+        errors.append("official_full_text_requires_obtained_verified_text")
+    if text_fidelity in TEXT_FIDELITY_LIMITED_STATUSES and not (
+        isinstance(limitations, list)
+        and any(_clean_text(limitation) for limitation in limitations)
+    ):
+        errors.append("unverified_text_fidelity_requires_disclosed_limitation")
+    return errors
+
+
+def _claim_consistency_errors(claim: dict[str, Any]) -> list[str]:
+    """Return mechanically provable contradictions within one review record.
+
+    This function does not decide whether a source supports a claim or whether
+    legal reasoning is sound. It only prevents the validator from treating a
+    record as complete when the reviewer's own coded assessments conflict.
+    """
+
+    errors: list[str] = []
+    source_checks = claim.get("source_checks")
+    support = claim.get("support") if isinstance(claim.get("support"), dict) else {}
+    reasoning = (
+        claim.get("reasoning") if isinstance(claim.get("reasoning"), dict) else {}
+    )
+    judgment = (
+        claim.get("professional_judgment")
+        if isinstance(claim.get("professional_judgment"), dict)
+        else {}
+    )
+    disposition = (
+        claim.get("disposition") if isinstance(claim.get("disposition"), dict) else {}
+    )
+    support_status = _clean_text(support.get("status"))
+    reasoning_status = _clean_text(reasoning.get("status"))
+    judgment_status = _clean_text(judgment.get("status"))
+    disposition_status = _clean_text(disposition.get("status"))
+    non_none_issues = _non_none_issues(claim.get("issues"))
+
+    if support_status in {"supported", "partially_supported", "contradicted"} and not (
+        isinstance(source_checks, list) and source_checks
+    ):
+        errors.append("source_check_required_for_support_assessment")
+    identity_attention = isinstance(source_checks, list) and any(
+        isinstance(source_check, dict)
+        and _clean_text(source_check.get("identity_status")) != "matches_cited_source"
+        for source_check in source_checks
+    )
+    semantic_attention = support_status != "supported" or reasoning_status in {
+        "partially_sound",
+        "unsound",
+        "uncertain",
+    }
+    judgment_attention = judgment_status in {
+        "professional_judgment_required",
+        "contested",
+        "uncertain",
+    }
+    if (identity_attention or semantic_attention or judgment_attention) and not (
+        non_none_issues
+    ):
+        errors.append("attention_assessment_requires_issue_treatment")
+    if support_status in {"not_supported", "contradicted"} and (
+        disposition_status == "retain"
+    ):
+        errors.append("unsupported_or_contradicted_claim_cannot_be_retained")
+    if reasoning_status == "unsound" and disposition_status == "retain":
+        errors.append("unsound_reasoning_cannot_be_retained")
+    return errors
+
+
+def _contract_consistency_errors(contract_review: object) -> list[str]:
+    """Return contradictions between conformance statuses and contract issues."""
+
+    if not isinstance(contract_review, dict):
+        return []
+    attention = any(
+        isinstance(contract_review.get(dimension), dict)
+        and _clean_text(contract_review[dimension].get("status")) != "conforms"
+        for dimension in CONTRACT_REVIEW_DIMENSIONS
+    )
+    issue_types = {
+        _clean_text(issue.get("type"))
+        for issue in contract_review.get("issues", [])
+        if isinstance(issue, dict)
+    }
+    errors: list[str] = []
+    if attention and "answer_contract_failure" not in issue_types:
+        errors.append("contract_attention_requires_failure_treatment")
+    if not attention and "answer_contract_failure" in issue_types:
+        errors.append("contract_failure_treatment_requires_attention_status")
+    return errors
+
+
+def _delivery_readiness(
+    *,
+    record_integrity_status: str,
+    revision_status: str,
+    judgment_dependent: bool,
+    evidence_limited: bool,
+    contract_attention: bool,
+    pending_treatments: bool,
+    blocked_treatments: bool,
+    coverage_limited: bool,
+    overall_outcome: str,
+) -> str:
+    """Aggregate explicit review statuses; never infer substantive correctness."""
+
+    if record_integrity_status != "record_complete":
+        return "review_record_incomplete"
+    if revision_status == "blocked" or blocked_treatments:
+        return "blocked"
+    if overall_outcome == "not_reliable":
+        return "not_reliable"
+    if (
+        revision_status == "required"
+        or pending_treatments
+        or contract_attention
+        or overall_outcome == "correction_required"
+    ):
+        return "revision_required"
+    if (
+        judgment_dependent
+        or revision_status == "professional_review_required"
+        or overall_outcome in {"professional_review_required", "uncertain"}
+    ):
+        return "professional_review_required"
+    if evidence_limited or coverage_limited or overall_outcome == "evidence_limited":
+        return "evidence_limited"
+    return "reviewed_answer_ready"
+
+
+def build_audit(
+    document_inventory: dict[str, Any],
+    source_inventory: dict[str, Any],
+    claims_review: dict[str, Any],
+    answer_contract: dict[str, Any],
+    *,
+    source_base_dir: Path | None = None,
+) -> dict[str, Any]:
+    """Audit review-record completeness without deciding substantive meaning.
+
+    Fixed checks are justified here by the stable review contract: they verify
+    required fields, allowed codes, exact source identifiers, and exact passage
+    presence. All legal relevance, support, reasoning, and judgment statuses are
+    authored by the model or professional reviewer and are never overridden.
+    """
+
+    claims = claims_review.get("claims", [])
+    if not isinstance(claims, list):
+        claims = []
+    sources = source_inventory.get("sources", [])
+    if not isinstance(sources, list):
+        sources = []
+
+    failed_checks: list[str] = []
+    if int(document_inventory.get("character_count", 0) or 0) <= 0:
+        failed_checks.append("document_text_present")
+    if not claims:
+        failed_checks.append("claims_review_present")
+    answer_contract_audit = validate_answer_contract(answer_contract)
+    if answer_contract_audit["status"] != "pass":
+        failed_checks.append("answer_contract")
+
+    if _clean_text(claims_review.get("schema_version")) != REVIEW_SCHEMA_VERSION:
+        failed_checks.append("review_schema_version")
+    if not _clean_text(claims_review.get("validation_objective")):
+        failed_checks.append("validation_objective_present")
+
+    coverage = claims_review.get("coverage_review")
+    coverage_valid = isinstance(coverage, dict)
+    if coverage_valid:
+        coverage_valid = (
+            _clean_text(coverage.get("selection_method"))
+            == "model_led_materiality_review"
+            and _clean_text(coverage.get("scope")) in ALLOWED_COVERAGE_SCOPES
+            and bool(_clean_text(coverage.get("analysis")))
+            and all(
+                isinstance(coverage.get(field), list)
+                and all(isinstance(item, str) for item in coverage.get(field, []))
+                for field in ("reviewed_sections", "omitted_sections", "limitations")
+            )
+            and _clean_text(coverage.get("reviewer_action")) in ALLOWED_REVIEWER_ACTIONS
+        )
+    if not coverage_valid:
+        failed_checks.append("coverage_review_complete")
+    coverage_scope = (
+        _clean_text(coverage.get("scope")) if isinstance(coverage, dict) else ""
+    )
+    coverage_reviewer_rejected = (
+        isinstance(coverage, dict)
+        and _clean_text(coverage.get("reviewer_action")) == "reject"
+    )
+    contract_scope = _clean_text(answer_contract.get("validation_scope"))
+    if coverage_valid and coverage_scope != contract_scope:
+        failed_checks.append("coverage_matches_answer_contract")
+
+    contract_review = claims_review.get("contract_review")
+    contract_review_valid = isinstance(contract_review, dict)
+    contract_attention: list[str] = []
+    if contract_review_valid:
+        for dimension in CONTRACT_REVIEW_DIMENSIONS:
+            assessment = contract_review.get(dimension)
+            if not (
+                isinstance(assessment, dict)
+                and _clean_text(assessment.get("status"))
+                in ALLOWED_CONTRACT_CONFORMANCE_STATUSES
+                and bool(_clean_text(assessment.get("analysis")))
+            ):
+                contract_review_valid = False
+                continue
+            if _clean_text(assessment.get("status")) != "conforms":
+                contract_attention.append(dimension)
+        if not _issues_are_valid(
+            contract_review.get("issues"),
+            allowed_types={"none", "answer_contract_failure"},
+        ):
+            contract_review_valid = False
+        if _clean_text(contract_review.get("reviewer_action")) not in (
+            ALLOWED_REVIEWER_ACTIONS
+        ):
+            contract_review_valid = False
+    if not contract_review_valid:
+        failed_checks.append("contract_review_complete")
+    contract_reviewer_rejected = (
+        isinstance(contract_review, dict)
+        and _clean_text(contract_review.get("reviewer_action")) == "reject"
+    )
+    consistency_errors: list[dict[str, Any]] = []
+    for error in _contract_consistency_errors(contract_review):
+        consistency_errors.append({"scope": "contract_review", "error": error})
+
+    invalid_claim_indices: list[int] = []
+    invalid_source_check_indices: list[int] = []
+    invalid_issue_indices: list[int] = []
+    invalid_disposition_indices: list[int] = []
+    invalid_reviewer_action_indices: list[int] = []
+    support_attention_claims: list[int] = []
+    reasoning_attention_claims: list[int] = []
+    judgment_dependent_claims: list[int] = []
+    source_identity_attention_claims: list[int] = []
+    pending_treatment_claims: list[int] = []
+    blocked_treatment_claims: list[int] = []
+    evidence_limited_claims: list[int] = []
+    source_fidelity_limited_claims: list[int] = []
+    claim_observations: list[dict[str, Any]] = []
+
+    for position, raw_claim in enumerate(claims, start=1):
+        if not isinstance(raw_claim, dict):
+            invalid_claim_indices.append(position)
+            continue
+        claim = raw_claim
+        claim_index = _claim_index(claim.get("claim_index"), position)
+        claim_valid = (
+            bool(_clean_text(claim.get("claim_text")))
+            and bool(_clean_text(claim.get("claim_location")))
+            and _clean_text(claim.get("materiality")) in {"material", "supporting"}
+            and isinstance(claim.get("proposed_fix"), str)
+        )
+
+        source_checks = claim.get("source_checks")
+        source_checks_valid = isinstance(source_checks, list)
+        source_observations: list[dict[str, Any]] = []
+        if source_checks_valid:
+            for source_check in source_checks:
+                if not (
+                    isinstance(source_check, dict)
+                    and bool(_clean_text(source_check.get("source_ref")))
+                    and _clean_text(source_check.get("identity_status"))
+                    in ALLOWED_SOURCE_IDENTITY_STATUSES
+                    and bool(_clean_text(source_check.get("identity_analysis")))
+                    and _clean_text(source_check.get("authority_relation"))
+                    in ALLOWED_AUTHORITY_RELATIONS
+                    and _clean_text(source_check.get("official_text_access"))
+                    in ALLOWED_OFFICIAL_TEXT_ACCESS_STATUSES
+                    and _clean_text(source_check.get("text_fidelity"))
+                    in ALLOWED_TEXT_FIDELITY_STATUSES
+                    and bool(_clean_text(source_check.get("access_analysis")))
+                    and _string_list(source_check.get("limitations"))
+                    and isinstance(source_check.get("cited_passage"), str)
+                ):
+                    source_checks_valid = False
+                    continue
+                for error in _source_check_consistency_errors(source_check):
+                    consistency_errors.append(
+                        {
+                            "scope": "source_check",
+                            "claim_index": claim_index,
+                            "source_ref": _clean_text(source_check.get("source_ref")),
+                            "error": error,
+                        }
+                    )
+                if _clean_text(source_check.get("identity_status")) != (
+                    "matches_cited_source"
+                ):
+                    source_identity_attention_claims.append(claim_index)
+                observation = _exact_passage_observation(
+                    source_check,
+                    sources,
+                    source_base_dir,
+                )
+                source_observations.append(observation)
+                if observation["capture_integrity"] not in {
+                    "verified",
+                    "verified_metadata_only",
+                    "excerpt_only",
+                    "not_tested",
+                }:
+                    consistency_errors.append(
+                        {
+                            "scope": "source_check",
+                            "claim_index": claim_index,
+                            "source_ref": source_check["source_ref"],
+                            "error": "retained_capture_integrity_"
+                            + observation["capture_integrity"],
+                        }
+                    )
+                passage_errors, passage_limit = _passage_disposition_errors(
+                    source_check, observation, source_base_dir
+                )
+                for error in passage_errors:
+                    consistency_errors.append(
+                        {
+                            "scope": "source_check",
+                            "claim_index": claim_index,
+                            "source_ref": source_check["source_ref"],
+                            "error": error,
+                        }
+                    )
+                if passage_limit:
+                    evidence_limited_claims.append(claim_index)
+                    source_fidelity_limited_claims.append(claim_index)
+                if observation["access_status"] not in {"available", "not_observed"}:
+                    evidence_limited_claims.append(claim_index)
+                if observation["resolution_status"] != "resolved":
+                    evidence_limited_claims.append(claim_index)
+            if source_checks:
+                has_verified_official_text = any(
+                    isinstance(source_check, dict)
+                    and _clean_text(source_check.get("authority_relation"))
+                    == "official_full_text"
+                    and _clean_text(source_check.get("official_text_access"))
+                    == "obtained"
+                    and _clean_text(source_check.get("text_fidelity"))
+                    == "verified_against_official_text"
+                    for source_check in source_checks
+                )
+                has_fidelity_limit = any(
+                    isinstance(source_check, dict)
+                    and _clean_text(source_check.get("text_fidelity"))
+                    in TEXT_FIDELITY_LIMITED_STATUSES
+                    for source_check in source_checks
+                )
+                if has_fidelity_limit and not has_verified_official_text:
+                    source_fidelity_limited_claims.append(claim_index)
+        if not source_checks_valid:
+            invalid_source_check_indices.append(claim_index)
+
+        support = claim.get("support")
+        support_valid = _assessment_is_valid(support, ALLOWED_SUPPORT_STATUSES)
+        if support_valid and _clean_text(support.get("status")) != "supported":
+            support_attention_claims.append(claim_index)
+        reasoning = claim.get("reasoning")
+        reasoning_valid = _reasoning_is_valid(reasoning)
+        if reasoning_valid and _clean_text(reasoning.get("status")) in {
+            "partially_sound",
+            "unsound",
+            "uncertain",
+        }:
+            reasoning_attention_claims.append(claim_index)
+        judgment = claim.get("professional_judgment")
+        judgment_valid = _judgment_is_valid(judgment)
+        if judgment_valid and _clean_text(judgment.get("status")) in {
+            "professional_judgment_required",
+            "contested",
+            "uncertain",
+        }:
+            judgment_dependent_claims.append(claim_index)
+
+        issues = claim.get("issues")
+        issues_valid = _issues_are_valid(issues, allowed_types=ALLOWED_ISSUE_TYPES)
+        if not issues_valid:
+            invalid_issue_indices.append(claim_index)
+        elif any(
+            _clean_text(issue.get("treatment_status")) == "proposed"
+            for issue in issues
+            if isinstance(issue, dict)
+        ):
+            pending_treatment_claims.append(claim_index)
+        if isinstance(issues, list) and any(
+            isinstance(issue, dict)
+            and _clean_text(issue.get("treatment_status")) == "blocked"
+            for issue in issues
+        ):
+            blocked_treatment_claims.append(claim_index)
+        if isinstance(issues, list) and any(
+            isinstance(issue, dict)
+            and _clean_text(issue.get("treatment_status"))
+            == "professional_review_required"
+            for issue in issues
+        ):
+            judgment_dependent_claims.append(claim_index)
+        if isinstance(issues, list) and any(
+            isinstance(issue, dict)
+            and _clean_text(issue.get("type"))
+            in {"source_unavailable", "source_not_identified"}
+            for issue in issues
+        ):
+            evidence_limited_claims.append(claim_index)
+
+        disposition = claim.get("disposition")
+        if not (
+            isinstance(disposition, dict)
+            and _clean_text(disposition.get("status")) in ALLOWED_DISPOSITIONS
+            and bool(_clean_text(disposition.get("analysis")))
+            and isinstance(disposition.get("revised_claim"), str)
+        ):
+            invalid_disposition_indices.append(claim_index)
+        if _clean_text(claim.get("reviewer_action")) not in ALLOWED_REVIEWER_ACTIONS:
+            invalid_reviewer_action_indices.append(claim_index)
+
+        if not (claim_valid and support_valid and reasoning_valid and judgment_valid):
+            invalid_claim_indices.append(claim_index)
+        for error in _claim_consistency_errors(claim):
+            consistency_errors.append(
+                {"scope": "claim", "claim_index": claim_index, "error": error}
+            )
+        claim_observations.append(
+            {
+                "claim_index": claim_index,
+                "source_observations": source_observations,
+            }
+        )
+
+    if invalid_claim_indices:
+        failed_checks.append("claim_assessments_complete")
+    if invalid_source_check_indices:
+        failed_checks.append("source_identity_assessments_complete")
+    if invalid_issue_indices:
+        failed_checks.append("issue_treatments_complete")
+    if invalid_disposition_indices:
+        failed_checks.append("claim_dispositions_complete")
+    if invalid_reviewer_action_indices:
+        failed_checks.append("reviewer_actions_valid")
+
+    rejected_claim_indices = [
+        _claim_index(claim.get("claim_index"), position)
+        for position, claim in enumerate(claims, start=1)
+        if isinstance(claim, dict)
+        and _clean_text(claim.get("reviewer_action")) == "reject"
+    ]
+
+    overall = claims_review.get("overall_assessment")
+    overall_valid = (
+        isinstance(overall, dict)
+        and _clean_text(overall.get("outcome")) in ALLOWED_OVERALL_OUTCOMES
+        and bool(_clean_text(overall.get("analysis")))
+        and _string_list(overall.get("residual_uncertainties"))
+        and _string_list(overall.get("professional_review_items"))
+    )
+    if not overall_valid:
+        failed_checks.append("overall_assessment_complete")
+
+    document_revision = claims_review.get("document_revision")
+    revision_status = (
+        _clean_text(document_revision.get("status"))
+        if isinstance(document_revision, dict)
+        else ""
+    )
+    revision_valid = (
+        isinstance(document_revision, dict)
+        and revision_status in ALLOWED_DOCUMENT_REVISION_STATUSES
+        and bool(_clean_text(document_revision.get("summary")))
+        and _string_list(document_revision.get("unresolved_changes"))
+    )
+    validated_document = str(claims_review.get("validated_document") or "").strip()
+    if (
+        revision_status
+        in {
+            "not_required",
+            "completed",
+            "professional_review_required",
+        }
+        and not validated_document
+    ):
+        revision_valid = False
+    if not revision_valid:
+        failed_checks.append("document_revision_complete")
+
+    overall_outcome = _clean_text(overall.get("outcome")) if overall_valid else ""
+    if (
+        source_fidelity_limited_claims
+        and overall_valid
+        and not any(
+            _clean_text(item) for item in overall.get("residual_uncertainties", [])
+        )
+    ):
+        consistency_errors.append(
+            {
+                "scope": "overall_assessment",
+                "error": "source_fidelity_limit_requires_residual_uncertainty",
+            }
+        )
+    attention_recorded = any(
+        (
+            support_attention_claims,
+            reasoning_attention_claims,
+            judgment_dependent_claims,
+            source_identity_attention_claims,
+            pending_treatment_claims,
+            blocked_treatment_claims,
+            contract_attention,
+            rejected_claim_indices,
+            ["coverage"] if coverage_reviewer_rejected else [],
+            ["contract"] if contract_reviewer_rejected else [],
+        )
+    )
+    if attention_recorded and overall_outcome == "no_material_defect_identified":
+        consistency_errors.append(
+            {
+                "scope": "overall_assessment",
+                "error": "recorded_attention_conflicts_with_no_material_defect",
+            }
+        )
+    allowed_outcomes_by_revision = {
+        "not_required": {
+            "no_material_defect_identified",
+            "evidence_limited",
+            "uncertain",
+        },
+        "completed": {"corrected"},
+        "required": {
+            "correction_required",
+            "evidence_limited",
+            "professional_review_required",
+            "not_reliable",
+            "uncertain",
+        },
+        "blocked": {"evidence_limited", "not_reliable", "uncertain"},
+        "professional_review_required": {
+            "professional_review_required",
+            "uncertain",
+        },
+    }
+    if (
+        revision_status in allowed_outcomes_by_revision
+        and overall_outcome
+        and overall_outcome not in allowed_outcomes_by_revision[revision_status]
+    ):
+        consistency_errors.append(
+            {
+                "scope": "document_revision",
+                "error": "revision_status_conflicts_with_overall_outcome",
+            }
+        )
+    if revision_status == "not_required" and (
+        pending_treatment_claims
+        or blocked_treatment_claims
+        or contract_attention
+        or rejected_claim_indices
+        or coverage_reviewer_rejected
+        or contract_reviewer_rejected
+    ):
+        consistency_errors.append(
+            {
+                "scope": "document_revision",
+                "error": "unresolved_treatment_conflicts_with_no_revision",
+            }
+        )
+    if consistency_errors:
+        failed_checks.append("review_state_consistent")
+
+    failed_checks = list(dict.fromkeys(failed_checks))
+    record_integrity_status = (
+        "record_complete" if not failed_checks else "record_incomplete"
+    )
+    delivery_readiness = _delivery_readiness(
+        record_integrity_status=record_integrity_status,
+        revision_status=revision_status,
+        judgment_dependent=bool(judgment_dependent_claims),
+        evidence_limited=bool(evidence_limited_claims),
+        contract_attention=bool(contract_attention or contract_reviewer_rejected),
+        pending_treatments=bool(
+            pending_treatment_claims
+            or rejected_claim_indices
+            or coverage_reviewer_rejected
+        ),
+        blocked_treatments=bool(blocked_treatment_claims),
+        coverage_limited=coverage_scope != "all_material_claims",
+        overall_outcome=overall_outcome,
+    )
+    return {
+        "status": record_integrity_status,
+        "record_integrity_status": record_integrity_status,
+        "delivery_readiness": delivery_readiness,
+        "failed_checks": failed_checks,
+        "claim_count": len(claims),
+        "support_attention_claim_indices": sorted(set(support_attention_claims)),
+        "reasoning_attention_claim_indices": reasoning_attention_claims,
+        "judgment_dependent_claim_indices": sorted(set(judgment_dependent_claims)),
+        "source_identity_attention_claim_indices": sorted(
+            set(source_identity_attention_claims)
+        ),
+        "evidence_limited_claim_indices": sorted(set(evidence_limited_claims)),
+        "source_fidelity_limited_claim_indices": sorted(
+            set(source_fidelity_limited_claims)
+        ),
+        "pending_treatment_claim_indices": sorted(set(pending_treatment_claims)),
+        "blocked_treatment_claim_indices": sorted(set(blocked_treatment_claims)),
+        "invalid_claim_indices": sorted(set(invalid_claim_indices)),
+        "invalid_source_check_indices": sorted(set(invalid_source_check_indices)),
+        "invalid_issue_indices": sorted(set(invalid_issue_indices)),
+        "invalid_disposition_indices": sorted(set(invalid_disposition_indices)),
+        "invalid_reviewer_action_indices": sorted(set(invalid_reviewer_action_indices)),
+        "rejected_claim_indices": sorted(set(rejected_claim_indices)),
+        "coverage_reviewer_rejected": coverage_reviewer_rejected,
+        "contract_reviewer_rejected": contract_reviewer_rejected,
+        "consistency_errors": consistency_errors,
+        "contract_attention_dimensions": contract_attention,
+        "coverage_scope": coverage_scope,
+        "claim_observations": claim_observations,
+        "source_count": len(sources),
+        "document_url_count": len(document_inventory.get("urls", []) or []),
+        "answer_contract": answer_contract,
+        "answer_contract_audit": answer_contract_audit,
+        "assurance_boundary": {
+            "mechanically_observed": (
+                "document and captured-source availability, exact identifier "
+                "resolution, exact passage presence in the cited source snapshot, "
+                "review-record shape, and contradictions among explicit source "
+                "provenance and review status fields"
+            ),
+            "semantically_assessed": (
+                "source identity and authority relation, the significance of official "
+                "archive coverage or access, text-fidelity status, claim meaning, "
+                "entailment, contradiction, qualification, scope, time, and modality"
+            ),
+            "reasoning_assessed": (
+                "whether the conclusion follows from supported premises and "
+                "whether intermediate premises are missing"
+            ),
+            "judgment_dependent": (
+                "legal applicability, materiality, competing interpretations, "
+                "professional choices, and uncertain outcomes"
+            ),
+            "record_integrity_meaning": (
+                "record_complete means the required assessments and treatments "
+                "were recorded; it does not certify legal correctness or replace "
+                "professional review"
+            ),
+        },
+    }
+
+
+def _package_markdown(
+    document_inventory: dict[str, Any],
+    source_inventory: dict[str, Any],
+    claims_review: dict[str, Any],
+    audit: dict[str, Any],
+    validated_document: str,
+) -> str:
+    language = _language_code(claims_review.get("language"))
+    spanish = language == "es"
+    italian = language == "it"
+    claims = claims_review.get("claims", [])
+    claim_lines: list[str] = []
+    if isinstance(claims, list):
+        for position, claim in enumerate(claims, start=1):
+            if not isinstance(claim, dict):
+                continue
+            support = (
+                claim.get("support") if isinstance(claim.get("support"), dict) else {}
+            )
+            reasoning = (
+                claim.get("reasoning")
+                if isinstance(claim.get("reasoning"), dict)
+                else {}
+            )
+            judgment = (
+                claim.get("professional_judgment")
+                if isinstance(claim.get("professional_judgment"), dict)
+                else {}
+            )
+            disposition = (
+                claim.get("disposition")
+                if isinstance(claim.get("disposition"), dict)
+                else {}
+            )
+            source_checks = claim.get("source_checks")
+            issues = claim.get("issues")
+            claim_index = claim.get("claim_index", position)
+            if italian:
+                lines = [
+                    f"### Affermazione {claim_index}",
+                    f"**Testo:** {_clean_text(claim.get('claim_text'))}",
+                    f"**Posizione:** {_clean_text(claim.get('claim_location'))}",
+                    f"**Rilevanza:** {_clean_text(claim.get('materiality'))}",
+                    "#### Identità e accesso alle fonti",
+                    json.dumps(source_checks, ensure_ascii=False, indent=2),
+                    f"#### Riscontro nelle fonti — {_clean_text(support.get('status'))}",
+                    _clean_text(support.get("analysis")),
+                    f"#### Ragionamento — {_clean_text(reasoning.get('status'))}",
+                    _clean_text(reasoning.get("analysis")),
+                    f"#### Giudizio professionale — {_clean_text(judgment.get('status'))}",
+                    _clean_text(judgment.get("analysis")),
+                    "#### Problemi e trattamento",
+                    json.dumps(issues, ensure_ascii=False, indent=2),
+                    f"#### Esito della revisione — {_clean_text(disposition.get('status'))}",
+                    _clean_text(disposition.get("analysis")),
+                    f"**Correzione proposta:** {_clean_text(claim.get('proposed_fix'))}",
+                ]
+            elif spanish:
+                lines = [
+                    f"### Afirmación {claim_index}",
+                    f"**Texto:** {_clean_text(claim.get('claim_text'))}",
+                    f"**Ubicación:** {_clean_text(claim.get('claim_location'))}",
+                    f"**Materialidad:** {_clean_text(claim.get('materiality'))}",
+                    "#### Identidad y acceso a las fuentes",
+                    json.dumps(source_checks, ensure_ascii=False, indent=2),
+                    f"#### Respaldo semántico — {_clean_text(support.get('status'))}",
+                    _clean_text(support.get("analysis")),
+                    f"#### Razonamiento — {_clean_text(reasoning.get('status'))}",
+                    _clean_text(reasoning.get("analysis")),
+                    f"#### Juicio profesional — {_clean_text(judgment.get('status'))}",
+                    _clean_text(judgment.get("analysis")),
+                    "#### Incidencias y tratamiento",
+                    json.dumps(issues, ensure_ascii=False, indent=2),
+                    f"#### Disposición — {_clean_text(disposition.get('status'))}",
+                    _clean_text(disposition.get("analysis")),
+                    f"**Corrección propuesta:** {_clean_text(claim.get('proposed_fix'))}",
+                ]
+            else:
+                lines = [
+                    f"### Claim {claim_index}",
+                    f"**Text:** {_clean_text(claim.get('claim_text'))}",
+                    f"**Location:** {_clean_text(claim.get('claim_location'))}",
+                    f"**Materiality:** {_clean_text(claim.get('materiality'))}",
+                    "#### Source identity and access",
+                    json.dumps(source_checks, ensure_ascii=False, indent=2),
+                    f"#### Semantic source support — {_clean_text(support.get('status'))}",
+                    _clean_text(support.get("analysis")),
+                    f"#### Reasoning — {_clean_text(reasoning.get('status'))}",
+                    _clean_text(reasoning.get("analysis")),
+                    f"#### Professional judgment — {_clean_text(judgment.get('status'))}",
+                    _clean_text(judgment.get("analysis")),
+                    "#### Issues and treatment",
+                    json.dumps(issues, ensure_ascii=False, indent=2),
+                    f"#### Disposition — {_clean_text(disposition.get('status'))}",
+                    _clean_text(disposition.get("analysis")),
+                    f"**Proposed fix:** {_clean_text(claim.get('proposed_fix'))}",
+                ]
+            claim_lines.append("\n\n".join(lines).strip())
+    if italian:
+        sections = [
+            "# Registro di verifica della risposta",
+            f"Integrità del registro: {audit.get('record_integrity_status')}",
+            f"Stato per la consegna: {audit.get('delivery_readiness')}",
+            f"Affermazioni esaminate: {audit.get('claim_count')}",
+            f"Fonti esaminate: {audit.get('source_count')}",
+            "## Limiti della verifica",
+            json.dumps(audit.get("assurance_boundary"), ensure_ascii=False, indent=2),
+            "## Requisiti della risposta",
+            json.dumps(audit.get("answer_contract"), ensure_ascii=False, indent=2),
+            "## Verifica dei requisiti della risposta",
+            json.dumps(
+                claims_review.get("contract_review"), ensure_ascii=False, indent=2
+            ),
+            "## Copertura della verifica",
+            json.dumps(
+                claims_review.get("coverage_review"), ensure_ascii=False, indent=2
+            ),
+            "## Inventario del documento",
+            f"Parole: {document_inventory.get('word_count', 0)}",
+            f"URL: {document_inventory.get('urls', [])}",
+            "## Inventario delle fonti",
+            json.dumps(source_inventory, ensure_ascii=False, indent=2),
+            "## Controlli automatici sulle fonti",
+            json.dumps(audit.get("claim_observations"), ensure_ascii=False, indent=2),
+            "## Valutazione delle affermazioni",
+            (
+                "\n\n".join(claim_lines)
+                if claim_lines
+                else "Nessuna affermazione esaminata."
+            ),
+            "## Valutazione complessiva",
+            json.dumps(
+                claims_review.get("overall_assessment"), ensure_ascii=False, indent=2
+            ),
+            "## Stato della revisione del documento",
+            json.dumps(
+                claims_review.get("document_revision"), ensure_ascii=False, indent=2
+            ),
+        ]
+    elif spanish:
+        sections = [
+            "# Registro de validación de la respuesta",
+            f"Integridad del registro: {audit.get('record_integrity_status')}",
+            f"Preparación para entrega: {audit.get('delivery_readiness')}",
+            f"Afirmaciones revisadas: {audit.get('claim_count')}",
+            f"Fuentes examinadas: {audit.get('source_count')}",
+            "## Límite de aseguramiento",
+            json.dumps(audit.get("assurance_boundary"), ensure_ascii=False, indent=2),
+            "## Contrato de respuesta",
+            json.dumps(audit.get("answer_contract"), ensure_ascii=False, indent=2),
+            "## Revisión del contrato de respuesta",
+            json.dumps(
+                claims_review.get("contract_review"), ensure_ascii=False, indent=2
+            ),
+            "## Cobertura de la revisión",
+            json.dumps(
+                claims_review.get("coverage_review"), ensure_ascii=False, indent=2
+            ),
+            "## Inventario del documento",
+            f"Palabras: {document_inventory.get('word_count', 0)}",
+            f"URL: {document_inventory.get('urls', [])}",
+            "## Inventario de fuentes",
+            json.dumps(source_inventory, ensure_ascii=False, indent=2),
+            "## Observaciones mecánicas de las fuentes",
+            json.dumps(audit.get("claim_observations"), ensure_ascii=False, indent=2),
+            "## Evaluaciones de las afirmaciones",
+            (
+                "\n\n".join(claim_lines)
+                if claim_lines
+                else "No se revisaron afirmaciones."
+            ),
+            "## Evaluación general",
+            json.dumps(
+                claims_review.get("overall_assessment"), ensure_ascii=False, indent=2
+            ),
+            "## Estado de revisión del documento",
+            json.dumps(
+                claims_review.get("document_revision"), ensure_ascii=False, indent=2
+            ),
+        ]
+    else:
+        sections = [
+            "# Answer Validation Record",
+            f"Record integrity: {audit.get('record_integrity_status')}",
+            f"Delivery readiness: {audit.get('delivery_readiness')}",
+            f"Claims reviewed: {audit.get('claim_count')}",
+            f"Sources inspected: {audit.get('source_count')}",
+            "## Assurance Boundary",
+            json.dumps(audit.get("assurance_boundary"), ensure_ascii=False, indent=2),
+            "## Answer Contract",
+            json.dumps(audit.get("answer_contract"), ensure_ascii=False, indent=2),
+            "## Answer-Contract Review",
+            json.dumps(
+                claims_review.get("contract_review"), ensure_ascii=False, indent=2
+            ),
+            "## Review Coverage",
+            json.dumps(
+                claims_review.get("coverage_review"), ensure_ascii=False, indent=2
+            ),
+            "## Document Inventory",
+            f"Words: {document_inventory.get('word_count', 0)}",
+            f"URLs: {document_inventory.get('urls', [])}",
+            "## Source Inventory",
+            json.dumps(source_inventory, ensure_ascii=False, indent=2),
+            "## Mechanical Source Observations",
+            json.dumps(audit.get("claim_observations"), ensure_ascii=False, indent=2),
+            "## Claim Assessments",
+            "\n\n".join(claim_lines) if claim_lines else "No claims reviewed.",
+            "## Overall Assessment",
+            json.dumps(
+                claims_review.get("overall_assessment"), ensure_ascii=False, indent=2
+            ),
+            "## Document Revision Status",
+            json.dumps(
+                claims_review.get("document_revision"), ensure_ascii=False, indent=2
+            ),
+        ]
+    if validated_document.strip():
+        sections.extend(
+            [
+                (
+                    "## Risposta rivista o corretta"
+                    if italian
+                    else (
+                        "## Respuesta revisada o corregida"
+                        if spanish
+                        else "## Reviewed or Corrected Answer"
+                    )
+                ),
+                validated_document.strip(),
+            ]
+        )
+    return "\n\n".join(sections).strip() + "\n"
+
+
+def render_validation_package(
+    document_inventory: dict[str, Any],
+    source_inventory: dict[str, Any],
+    claims_review: dict[str, Any],
+    audit: dict[str, Any],
+    validated_document: str,
+) -> str:
+    """Render package Markdown from already-reviewed validation records."""
+
+    return _package_markdown(
+        document_inventory,
+        source_inventory,
+        claims_review,
+        audit,
+        validated_document,
+    )
+
+
+def _docx_inline(paragraph: Any, text: str) -> None:
+    """Render supported inline Markdown without activating non-web targets."""
+    from urllib.parse import urlsplit
+
+    from docx.opc.constants import RELATIONSHIP_TYPE
+    from docx.oxml import OxmlElement
+    from docx.oxml.ns import qn
+
+    tokens = re.compile(
+        r"\[([^\]]+)\]\(((?:[^()\s]|\([^()\s]*\))*)\)" r"|\*\*([^*]+)\*\*|`([^`]+)`"
+    )
+    position = 0
+    for match in tokens.finditer(text):
+        paragraph.add_run(text[position : match.start()])
+        label, target, bold, code = match.groups()
+        if target is not None:
+            try:
+                parsed = urlsplit(target)
+                is_web = parsed.scheme.lower() in {"http", "https"} and bool(
+                    parsed.hostname
+                )
+            except ValueError:
+                is_web = False
+            if is_web:
+                link = OxmlElement("w:hyperlink")
+                link.set(
+                    qn("r:id"),
+                    paragraph.part.relate_to(
+                        target, RELATIONSHIP_TYPE.HYPERLINK, is_external=True
+                    ),
+                )
+                run = OxmlElement("w:r")
+                properties = OxmlElement("w:rPr")
+                color = OxmlElement("w:color")
+                color.set(qn("w:val"), "1F4E79")
+                properties.append(color)
+                run.append(properties)
+                node = OxmlElement("w:t")
+                node.text = label
+                run.append(node)
+                link.append(run)
+                paragraph._p.append(link)
+            else:
+                paragraph.add_run(label)
+        elif bold is not None:
+            paragraph.add_run(bold).bold = True
+        else:
+            paragraph.add_run(code).font.name = "Consolas"
+        position = match.end()
+    paragraph.add_run(text[position:])
+
+
+def _write_docx_fallback(markdown_text: str, output_path: Path) -> bool:
+    """Export readable notes and comparison tables when Pandoc is unavailable."""
+    if Document is None:
+        return False
+    from docx.oxml import OxmlElement
+    from docx.oxml.ns import qn
+    from docx.shared import Cm, Pt, RGBColor
+
+    document = Document()
+    for section in document.sections:
+        section.page_width, section.page_height = Cm(21), Cm(29.7)
+        section.top_margin = section.bottom_margin = Cm(2)
+        section.left_margin = section.right_margin = Cm(2.1)
+    for name, size in (
+        ("Normal", 11),
+        ("Title", 17),
+        ("Heading 1", 13),
+        ("Heading 2", 12),
+        ("Heading 3", 11),
+    ):
+        style = document.styles[name]
+        style.font.name = "Calibri"
+        style.font.size = Pt(size)
+        style.font.color.rgb = RGBColor(0, 0, 0)
+        style.paragraph_format.space_after = Pt(6)
+        style.paragraph_format.line_spacing = 1.05
+        if name != "Normal":
+            style.font.bold = True
+            style.paragraph_format.space_before = Pt(10)
+        if style.element.pPr is not None:
+            for border in list(style.element.pPr.findall(qn("w:pBdr"))):
+                style.element.pPr.remove(border)
+
+    lines = markdown_text.splitlines()
+    index = 0
+    while index < len(lines):
+        line = lines[index].strip()
+        index += 1
+        if not line:
+            continue
+        # A delimiter row distinguishes a table from prose containing pipes.
+        if "|" in line and index < len(lines):
+            delimiter = lines[index].strip().strip("|")
+            if re.fullmatch(r"\s*:?-{3,}:?\s*(\|\s*:?-{3,}:?\s*)+", delimiter):
+                headers = [cell.strip() for cell in line.strip("|").split("|")]
+                table = document.add_table(rows=1, cols=len(headers))
+                table.style = "Table Grid"
+                repeat = OxmlElement("w:tblHeader")
+                table.rows[0]._tr.get_or_add_trPr().append(repeat)
+                for cell, text in zip(table.rows[0].cells, headers):
+                    _docx_inline(cell.paragraphs[0], text)
+                    for run in cell.paragraphs[0].runs:
+                        run.bold = True
+                index += 1
+                while index < len(lines) and "|" in lines[index]:
+                    values = [
+                        cell.strip()
+                        for cell in lines[index].strip().strip("|").split("|")
+                    ]
+                    if len(values) != len(headers):
+                        break
+                    for cell, text in zip(table.add_row().cells, values):
+                        _docx_inline(cell.paragraphs[0], text)
+                    index += 1
+                continue
+        heading_match = re.match(r"^(#{1,4})\s+(.*)$", line)
+        if heading_match:
+            level = len(heading_match.group(1))
+            paragraph = document.add_paragraph(
+                style="Title" if level == 1 else f"Heading {level - 1}"
+            )
+            _docx_inline(paragraph, heading_match.group(2).strip())
+            continue
+        bullet_match = re.match(r"^[-*]\s+(.*)$", line)
+        if bullet_match:
+            _docx_inline(
+                document.add_paragraph(style="List Bullet"),
+                bullet_match.group(1).strip(),
+            )
+            continue
+        paragraph = document.add_paragraph()
+        paragraph.paragraph_format.keep_together = len(line.split()) <= 150
+        previous = paragraph._p.getprevious()
+        if previous is not None and previous.tag == qn("w:tbl"):
+            paragraph.paragraph_format.space_before = Pt(7)
+        _docx_inline(paragraph, line)
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    document.save(output_path)
+    return True
+
+
+def try_write_docx(markdown_text: str, output_path: Path) -> bool:
+    """Write a DOCX from Markdown using local deterministic renderers only."""
+
+    if pypandoc is None:
+        return _write_docx_fallback(markdown_text, output_path)
+    temp_path: Path | None = None
+    try:
+        with tempfile.NamedTemporaryFile(suffix=".docx", delete=False) as tmpfile:
+            temp_path = Path(tmpfile.name)
+        pypandoc.convert_text(
+            markdown_text,
+            to="docx",
+            format="md",
+            outputfile=str(temp_path),
+        )
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        output_path.write_bytes(temp_path.read_bytes())
+        return True
+    except (OSError, RuntimeError):
+        return _write_docx_fallback(markdown_text, output_path)
+    finally:
+        if temp_path and temp_path.exists():
+            temp_path.unlink()
+
+
+def write_validation_package(
+    document_inventory_path: Path,
+    source_inventory_path: Path,
+    claims_review_path: Path,
+    output_dir: Path,
+    *,
+    answer_contract_path: Path,
+    validated_document_path: Path | None = None,
+    write_docx: bool = False,
+    client_engagement: dict[str, Any] | None = None,
+    client_run_id: str | None = None,
+) -> dict[str, Path]:
+    document_inventory = _read_json(document_inventory_path)
+    source_inventory = _read_json(source_inventory_path)
+    claims_review = _read_json(claims_review_path)
+    answer_contract = _read_json(answer_contract_path)
+    validated_document = str(claims_review.get("validated_document", "") or "")
+    if validated_document_path is not None:
+        supplied_document = validated_document_path.read_text(encoding="utf-8")
+        # Exact answer identity is mechanical; replacing reviewed text is not review.
+        if supplied_document.strip() != validated_document.strip():
+            raise ValueError(
+                "The supplied document differs from the reviewed answer; "
+                "perform a renewed substantive review before packaging."
+            )
+    output_dir.mkdir(parents=True, exist_ok=True)
+    run_intake = write_run_intake(
+        output_dir,
+        document_inventory_path=document_inventory_path,
+        source_inventory_path=source_inventory_path,
+        claims_review_path=claims_review_path,
+        answer_contract_path=answer_contract_path,
+        document_inventory=document_inventory,
+        source_inventory=source_inventory,
+        claims_review=claims_review,
+        answer_contract=answer_contract,
+        client_engagement=client_engagement,
+        client_run_id=client_run_id,
+    )
+    audit = build_audit(
+        document_inventory,
+        source_inventory,
+        claims_review,
+        answer_contract,
+        source_base_dir=source_inventory_path.parent,
+    )
+    answer_contract_out_path = output_dir / "answer_contract.json"
+    audit_path = output_dir / "validation_audit.json"
+    review_out_path = output_dir / "claims_review.json"
+    package_path = output_dir / "validation_package.md"
+    _write_json(audit_path, audit)
+    _write_json(review_out_path, claims_review)
+    _write_json(answer_contract_out_path, answer_contract)
+    package_text = render_validation_package(
+        document_inventory,
+        source_inventory,
+        claims_review,
+        audit,
+        validated_document,
+    )
+    package_path.write_text(package_text, encoding="utf-8")
+
+    paths = {
+        "answer_contract": answer_contract_out_path,
+        "claims_review": review_out_path,
+        "validation_audit": audit_path,
+        "validation_package": package_path,
+    }
+    if validated_document.strip():
+        validated_md_path = output_dir / "validated_document.md"
+        # Preserve the reviewed text on every OS instead of translating LF to CRLF.
+        validated_md_path.write_bytes(
+            (validated_document.strip() + "\n").encode("utf-8")
+        )
+        paths["validated_document"] = validated_md_path
+    if write_docx and validated_document.strip():
+        docx_path = output_dir / "validated_document.docx"
+        if try_write_docx(validated_document, docx_path):
+            paths["validated_document_docx"] = docx_path
+    review_session = write_review_session_artifacts(
+        output_dir,
+        run_id=run_intake.run_id,
+        run_intake_path=run_intake.path,
+        document_inventory_path=document_inventory_path,
+        source_inventory_path=source_inventory_path,
+        claims_review_path=claims_review_path,
+        answer_contract_path=answer_contract_path,
+        document_inventory=document_inventory,
+        source_inventory=source_inventory,
+        claims_review=claims_review,
+        answer_contract=answer_contract,
+        audit=audit,
+        paths=paths,
+        client_engagement=client_engagement,
+    )
+    run_root = (
+        Path(str(client_engagement["run_root"])).expanduser().resolve(strict=True)
+        if client_engagement is not None
+        else None
+    )
+
+    def persisted_path(path: Path) -> str:
+        if run_root is None:
+            return str(path)
+        try:
+            return (
+                path.expanduser().resolve(strict=True).relative_to(run_root).as_posix()
+            )
+        except ValueError as exc:
+            raise ValueError(
+                "Answer Validator review artifact is outside the current run."
+            ) from exc
+
+    audit["review_session"] = {
+        "run_id": review_session.run_id,
+        "run_intake_path": persisted_path(review_session.run_intake_path),
+        "review_payload_path": persisted_path(review_session.review_payload_path),
+        "ui_decisions_path": persisted_path(review_session.ui_decisions_path),
+        "final_artifacts_path": persisted_path(review_session.final_artifacts_path),
+        "review_item_count": review_session.review_item_count,
+    }
+    _write_json(audit_path, audit)
+    synchronize_final_artifact_sizes(review_session.final_artifacts_path)
+    return paths
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("document_inventory", type=Path)
+    parser.add_argument("source_inventory", type=Path)
+    parser.add_argument("claims_review", type=Path)
+    parser.add_argument(
+        "--answer-contract-file",
+        type=Path,
+        required=True,
+        help="JSON answer contract produced during question intake.",
+    )
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--client-engagement", type=Path, required=True)
+    parser.add_argument("--validated-document", type=Path)
+    parser.add_argument("--docx", action="store_true")
+    args = parser.parse_args()
+    input_paths = [
+        args.document_inventory,
+        args.source_inventory,
+        args.claims_review,
+        args.answer_contract_file,
+    ]
+    if args.validated_document is not None:
+        input_paths.append(args.validated_document)
+    try:
+        client_context = load_client_engagement_context_file(
+            args.client_engagement,
+            expected_workflow_id="deep-research-validator",
+            input_paths=input_paths,
+            output_dir=args.output_dir,
+        )
+    except AssuranceContractError as exc:
+        parser.error(str(exc))
+    write_validation_package(
+        args.document_inventory,
+        args.source_inventory,
+        args.claims_review,
+        args.output_dir,
+        answer_contract_path=args.answer_contract_file,
+        validated_document_path=args.validated_document,
+        write_docx=args.docx,
+        client_engagement=client_context,
+        client_run_id=str(client_context["run_id"]),
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

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