{
  "schema_version": "ocme-reviewed-question-reader-v1",
  "question_id": "q-20261014-advance-20261027-r03-complete-metric-space-0099",
  "pilot_number": "R0024-12849",
  "number": 12849,
  "family_id": "qf-mod27-complete-evidence-mode-audit",
  "title": {
    "zh-Hant": "第 12849 題：完備度量空間",
    "en": "Question 12849: A Space-Wide Certificate Is Not a List of Successful Sequences"
  },
  "original_question": {
    "schema_version": "ocme-question-v0.1",
    "id": "q-20261014-advance-20261027-r03-complete-metric-space-0099",
    "batch_id": "batch-20261014-advance-20261027-r03-complete-metric-space-foundations",
    "language": "zh-Hant",
    "source_mko_ids": [
      "mko-complete-metric-space"
    ],
    "title_zh": "完備度量空間",
    "stem_zh": "完備性量化空間內每個Cauchy序列。操作=complete-evidence-mode-audit；資料={\"n\":4,\"metric\":[[0,10,11,11],[10,0,13,13],[11,13,0,14],[11,13,14,0]],\"evidence_mode\":\"finite_minimum_separation\"}。請依 [n,min_positive_distance,evidence_mode,sufficient,boundary] 欄序回答。",
    "answer": {
      "kind": "expression",
      "value": "(4, 10, finite_minimum_separation, 是, universal_finite_certificate)",
      "explanation_zh": "Wave4根節點核對=(4, 10, finite_minimum_separation, 是, universal_finite_certificate)；依完整明示資料重算；完整有限／精確座標切片不自動升格為任意無限定理；有限metric用最小正距離作全稱證書；抽樣序列或有限尾段不能證一般完備。"
    },
    "difficulty": {
      "band": "undergraduate_core",
      "level": 3,
      "skills": [
        "完備度量空間"
      ]
    },
    "variant": {
      "family_id": "qf-mod27-complete-evidence-mode-audit",
      "seed": 202610273099,
      "parameters": {
        "n": 4,
        "metric": [
          [
            0,
            10,
            11,
            11
          ],
          [
            10,
            0,
            13,
            13
          ],
          [
            11,
            13,
            0,
            14
          ],
          [
            11,
            13,
            14,
            0
          ]
        ],
        "evidence_mode": "finite_minimum_separation",
        "domain": "Certified_complete_finite_metric_space",
        "operation": "complete-evidence-mode-audit",
        "semantic_template": "qf-mod27-complete-evidence-mode-audit/{\"evidence_mode\":\"finite_minimum_separation\",\"metric\":[[0,10,11,11],[10,0,13,13],[11,13,0,14],[11,13,14,0]],\"n\":4}"
      }
    },
    "verification": {
      "status": "candidate",
      "checks": [
        "producer_exact_finite_model",
        "producer_source_snapshot_check",
        "producer_substantive_template_deduplication",
        "producer_json_schema"
      ],
      "warning_zh": "產生端候選須由主端重算；不構成人工審定、任意無限定理、一般完備性、內積／有界性、mutual independence、directed graph、Lean執行或形式Evidence。"
    },
    "provenance": {
      "generator_role": "question_producer",
      "generator_model": "model_unknown",
      "generated_at": "2026-10-14",
      "contract_version": "ocme-question-factory-v0.1"
    }
  },
  "original_english_edition": {
    "schema_version": "ocme-question-localization-v0.1",
    "question_id": "q-20261014-advance-20261027-r03-complete-metric-space-0099",
    "batch_id": "batch-20261014-advance-20261027-r03-complete-metric-space-foundations",
    "locale": "en",
    "translation_state": "ai_candidate",
    "source": {
      "question_sha256": "2d352776eeffdaa495940a5421db61203ad7cdb98c9f3e238bb91b6c3ef3a6c0",
      "family_id": "qf-mod27-complete-evidence-mode-audit",
      "seed": 202610273099,
      "semantic_template": "qf-mod27-complete-evidence-mode-audit/{\"evidence_mode\":\"finite_minimum_separation\",\"metric\":[[0,10,11,11],[10,0,13,13],[11,13,0,14],[11,13,14,0]],\"n\":4}"
    },
    "fields": {
      "title": "A Space-Wide Certificate Is Not a List of Successful Sequences",
      "stem": "Use the complete qualified finite metric table=[[0, 10, 11, 11], [10, 0, 13, 13], [11, 13, 0, 14], [11, 13, 14, 0]] on Fin(4)={0,…,3}, with at least two points for this minimum-positive-distance protocol. Completeness quantifies over every Cauchy sequence and requires a limit in this same space, not merely an ambient space. Testing finitely many sequences or terms is insufficient. evidence_mode=finite_minimum_separation. Give (n,min_positive_distance,evidence_mode,sufficient?,boundary). finite_minimum_separation yields universal_finite_certificate; sampled_sequences yields sampled_sequences_insufficient.",
      "answer": {
        "kind": "expression",
        "value": "(4, 10, finite_minimum_separation, Yes, universal_finite_certificate)",
        "explanation": "Compute the same exact separation in both modes, but distinguish the universal argument from a proposed sample-only justification. Insufficient evidence is not a claim that the qualified finite space is incomplete. An exact finite or coordinate slice does not automatically establish a general infinite theorem. The exact result, retaining the requested order, is (4, 10, finite_minimum_separation, Yes, universal_finite_certificate)."
      },
      "skills": [
        "A Space-Wide Certificate Is Not a List of Successful Sequences"
      ],
      "verification_warning": "This is a candidate exercise. Mechanical recomputation checks only the stated conditions and this instance; it is neither a formal proof nor human review."
    }
  },
  "givens": [
    {
      "id": "G001",
      "text": {
        "zh-Hant": "完備性量化空間內每個Cauchy序列。操作=complete-evidence-mode-audit；資料={\"n\":4,\"metric\":[[0,10,11,11],[10,0,13,13],[11,13,0,14],[11,13,14,0]],\"evidence_mode\":\"finite_minimum_separation\"}。請依 [n,min_positive_distance,evidence_mode,sufficient,boundary] 欄序回答。",
        "en": "Use the complete qualified finite metric table=[[0, 10, 11, 11], [10, 0, 13, 13], [11, 13, 0, 14], [11, 13, 14, 0]] on Fin(4)={0,…,3}, with at least two points for this minimum-positive-distance protocol. Completeness quantifies over every Cauchy sequence and requires a limit in this same space, not merely an ambient space. Testing finitely many sequences or terms is insufficient. evidence_mode=finite_minimum_separation. Give (n,min_positive_distance,evidence_mode,sufficient?,boundary). finite_minimum_separation yields universal_finite_certificate; sampled_sequences yields sampled_sequences_insufficient."
      }
    }
  ],
  "steps": [
    {
      "id": "S001",
      "uses": [
        "G001"
      ],
      "before": "carrier Fin(4);complete nonnegative integer metric candidate=[[0, 10, 11, 11], [10, 0, 13, 13], [11, 13, 0, 14], [11, 13, 14, 0]]",
      "after": "zero iff equal=是;symmetric=是",
      "relation": "implies",
      "rule_id": "complete_metric_separation_and_symmetry",
      "conditions": [],
      "explanation": {
        "zh-Hant": "先核整表的非負、對角與非對角分離、對稱，不只核本題用到的兩格；至少兩點是本最小正距離協定前提，不是單點空間不完備。",
        "en": "First qualify nonnegativity,diagonal/off-diagonal separation and symmetry on the entire table,not only queried cells.At least two points is a premise of this minimum-positive-distance protocol,not a claim that a singleton is incomplete."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S002",
      "uses": [
        "G001",
        "S001"
      ],
      "before": "endpoints=[0, 0];direct distance=0;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[0, 20, 22, 22];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S003",
      "uses": [
        "G001",
        "S002"
      ],
      "before": "endpoints=[0, 1];direct distance=10;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[10, 10, 24, 24];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S004",
      "uses": [
        "G001",
        "S003"
      ],
      "before": "endpoints=[0, 2];direct distance=11;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[11, 23, 11, 25];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S005",
      "uses": [
        "G001",
        "S004"
      ],
      "before": "endpoints=[0, 3];direct distance=11;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[11, 23, 25, 11];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S006",
      "uses": [
        "G001",
        "S005"
      ],
      "before": "endpoints=[1, 0];direct distance=10;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[10, 10, 24, 24];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S007",
      "uses": [
        "G001",
        "S006"
      ],
      "before": "endpoints=[1, 1];direct distance=0;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[20, 0, 26, 26];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S008",
      "uses": [
        "G001",
        "S007"
      ],
      "before": "endpoints=[1, 2];direct distance=13;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[21, 13, 13, 27];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S009",
      "uses": [
        "G001",
        "S008"
      ],
      "before": "endpoints=[1, 3];direct distance=13;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[21, 13, 27, 13];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S010",
      "uses": [
        "G001",
        "S009"
      ],
      "before": "endpoints=[2, 0];direct distance=11;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[11, 23, 11, 25];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S011",
      "uses": [
        "G001",
        "S010"
      ],
      "before": "endpoints=[2, 1];direct distance=13;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[21, 13, 13, 27];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S012",
      "uses": [
        "G001",
        "S011"
      ],
      "before": "endpoints=[2, 2];direct distance=0;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[22, 26, 0, 28];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S013",
      "uses": [
        "G001",
        "S012"
      ],
      "before": "endpoints=[2, 3];direct distance=14;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[22, 26, 14, 14];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S014",
      "uses": [
        "G001",
        "S013"
      ],
      "before": "endpoints=[3, 0];direct distance=11;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[11, 23, 25, 11];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S015",
      "uses": [
        "G001",
        "S014"
      ],
      "before": "endpoints=[3, 1];direct distance=13;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[21, 13, 27, 13];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S016",
      "uses": [
        "G001",
        "S015"
      ],
      "before": "endpoints=[3, 2];direct distance=14;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[22, 26, 14, 14];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S017",
      "uses": [
        "G001",
        "S016"
      ],
      "before": "endpoints=[3, 3];direct distance=0;all intermediate labels=[0, 1, 2, 3]",
      "after": "all two-leg distances=[22, 26, 28, 0];direct<=every two-leg=是",
      "relation": "implies",
      "rule_id": "complete_metric_all_triangle_intermediates",
      "conditions": [],
      "explanation": {
        "zh-Hant": "對每個有序端點對遍歷每個中間點，三角條件要全部成立；完整有限核查不是幾個三角形樣本。",
        "en": "For each ordered endpoint pair inspect every intermediate point.All triangle obligations must hold;this complete finite audit is not a few sampled triangles."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S018",
      "uses": [
        "G001",
        "S017"
      ],
      "before": "all off-diagonal positive distances=[10, 11, 11, 10, 13, 13, 11, 13, 14, 11, 13, 14]",
      "after": "minimum positive distance delta=10>0",
      "relation": "implies",
      "rule_id": "finite_metric_positive_minimum_separation",
      "conditions": [],
      "explanation": {
        "zh-Hant": "有限非空正距離清單有正最小值，這是後續全稱Cauchy證書的空間尺度，不是從某條序列估出的門檻。",
        "en": "A finite nonempty list of positive distances has a positive minimum.This is the space-wide scale for the universal Cauchy certificate,not a threshold guessed from a sequence."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S019",
      "uses": [
        "G001",
        "S018"
      ],
      "before": "arbitrary Cauchy sequence in Fin(4);choose epsilon=delta=10>0",
      "after": "some N has every m,k>=N with d(x_m,x_k)<10;minimum separation forces x_m=x_k",
      "relation": "implies",
      "rule_id": "every_Cauchy_sequence_eventually_constant",
      "conditions": [],
      "explanation": {
        "zh-Hant": "由Cauchy定義對epsilon=delta取得一個N。不同點的距離至少delta，但尾對嚴格小於delta，故任意尾對都相同，特別等於x_N。",
        "en": "Apply the Cauchy definition at epsilon=delta to obtain N.Distinct points have distance at least delta,whereas every tail pair has distance strictly below delta.Thus all tail terms equal x_N."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S020",
      "uses": [
        "G001",
        "S019"
      ],
      "before": "all tail terms equal x_N;typed sequence guarantees x_N in Fin(4)",
      "after": "for every positive eta,all k>=N have distance(x_k,x_N)=0<eta;limit belongs to same space",
      "relation": "implies",
      "rule_id": "finite_completeness_quantifier_and_internal_limit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "共同尾值本來就在原空間，對任意正eta取相同N距離皆0。因此每個Cauchy序列都有空間內極限，才是完備；不是只證一條序列或環境空間有極限。",
        "en": "The common tail value already belongs to the original space.For any positive eta,the same N gives zero distance.Hence every Cauchy sequence has an internal limit:completeness,not one successful sequence or a limit only in an ambient space."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    },
    {
      "id": "S021",
      "uses": [
        "G001",
        "S020"
      ],
      "before": "qualified finite metric;delta=10;selected evidence mode=finite_minimum_separation",
      "after": "selected evidence sufficient=是;space completeness is not denied by sample insufficiency",
      "relation": "implies",
      "rule_id": "complete_evidence_mode_not_truth_of_incompleteness",
      "conditions": [],
      "explanation": {
        "zh-Hant": "最小正距離方法覆蓋每個Cauchy序列，有限抽樣沒有這個量詞覆蓋。樣本模式的No只是否定證據充分，不說這個合格有限空間不完備。",
        "en": "Minimum separation covers every Cauchy sequence;finite samples do not provide that quantifier coverage.No in sample mode means insufficient evidence,not that this qualified finite space is incomplete."
      },
      "reverse_audit": {
        "kind": "premise_and_result_audit",
        "explanation": {
          "zh-Hant": "回到原始資料與本步條件核對，不把單向推論誤稱等價。",
          "en": "Check against the original data and this step's premises; a one-way implication is not an equivalence."
        }
      },
      "arithmetic": null
    }
  ],
  "math_model": {
    "result": [
      4,
      10,
      "finite_minimum_separation",
      true,
      "universal_finite_certificate"
    ]
  },
  "conclusion": {
    "canonical_value": "(4, 10, finite_minimum_separation, 是, universal_finite_certificate)",
    "explanation": {
      "zh-Hant": "依上列完整代值及條件核對得到原題答案；原題編號、格式與狀態保持不變。",
      "en": "The full substitutions and premise checks give the original answer; source identity,format and status are unchanged."
    }
  },
  "definition_note": {
    "zh-Hant": "沿用原題明示的論域、假設與來源 MKO 定義。本題已完成第二對話數理與中英語義覆核，並由原始參數逐題獨立重算模型、答案與每個算術步驟；原題仍為 candidate。",
    "en": "Use the original question domain, assumptions and cited MKO definitions. This item has second-context mathematical and bilingual review, with the model, answer and every arithmetic step independently recomputed from the original parameters; the source question remains a candidate."
  },
  "source": {
    "input_commit": "0f7be61e2c22317a4075561dc822c87d881a50db",
    "question_binding": {
      "batch_id": "batch-20261014-advance-20261027-r03-complete-metric-space-foundations",
      "batch_path": "public/data/questions/errata/ocme-source-label-complete-metric-cauchy-20261015/questions.jsonl",
      "batch_sha256": "3e51402839b678d86535201a10926109f587c20aca57a54eb054fba9dcc90d61",
      "original_line": 99,
      "original_line_sha256": "af78063e4cbfc83b31c23c43cbe4e8e6409a50bedf79e34857322064d1523415",
      "question_compact_sha256": "2d352776eeffdaa495940a5421db61203ad7cdb98c9f3e238bb91b6c3ef3a6c0",
      "english_row_compact_sha256": "5fbecd446c6db1f0cee12d5ad4c288b6a4e46da7066a065fd52b26d40c107427",
      "english_manifest_path": "public/data/i18n/editions/batch-20261014-advance-20261027-r03-complete-metric-space-foundations.en.json",
      "english_rows_path": "public/data/i18n/questions/batch-20261014-advance-20261027-r03-complete-metric-space-foundations.en.jsonl"
    },
    "mko_bindings": {
      "mko-complete-metric-space": {
        "sha256": "783e45783b1dc07ccecb89f0c76b128f6c4a9a3da036e1678e908f2250530c73",
        "english_sha256": "505d9fc575b5de4a835e628a71c116b9f8b9518c9e79dc126f4b2e6f7d011b6d",
        "original_path": "public/data/mko/complete-metric-space.json",
        "english_path": "public/data/i18n/editions/mko-complete-metric-space.en.json"
      }
    },
    "selected_manifest_sha256": "5233edba9654a6cffd8b6b2d83c932f82ded15f9c0b7c733bd049943e672acff",
    "selected_part_sha256": "17a80c8482f64498e5a88bd4368d0a11b92d45c259784a0a536a29fbb98662d5",
    "original_candidate_sha256": "2702f3fbe38f1e78887fdc6cdad0ee32319e7ff61cf027f75e6f7d6c40724034",
    "original_candidate_line_sha256": "2702f3fbe38f1e78887fdc6cdad0ee32319e7ff61cf027f75e6f7d6c40724034"
  },
  "historical_source_state": {
    "review_state": {
      "derivation": "candidate_authored_and_locally_checked",
      "source_question_state": "candidate",
      "independent_AI_or_human_review": "NOT_PERFORMED",
      "formalization": "not_formalized",
      "Lean": "NOT_RUN"
    },
    "scope_note": {
      "zh-Hant": "來源綁定教學推導候選；精確核對不等於獨立AI／人工審查或一般形式證明。原題、答案、MKO、公式、AST與歷史不變。",
      "en": "Source-bound pedagogical derivation candidate.Exact checking is not independent AI/human review or general formal proof.Original questions,answers,MKOs,formulas,ASTs and history remain unchanged."
    },
    "label": "Frozen producer metadata; current per-question review is separate below."
  },
  "revision": {
    "id": "review-20261026-006-p25",
    "review_date": "2026-10-26",
    "owner_authorized_reader_publication": true,
    "scope": "One hundred sixty family prototypes and their mathematical/bilingual reasoning variants, stems, boundary statements and every distinct explanation shape were reviewed in a context independent of the producer; parameter substitutions, source bindings, full math models, both answer strings and every arithmetic step were independently reconstructed per question from the original parameters only, with negative controls. This grouped method does not claim a separate literal AI reading of every repeated sentence or an extra AI voter.",
    "review_receipts": {
      "semantic_review_sha256": "1c8f6c2c6c75852cb93c08235684ce9f32ebe86065c58c693a04257e772c2d35",
      "question_first_witness_sha256": "05fd764b5f9f7fff6185003efe576d87632f6daf40606ac3839a7feafe4f80d8"
    },
    "status": "second_context_reviewed",
    "mathematical_semantics": true,
    "bilingual_semantics": true,
    "steps_reviewed": 21,
    "method": "family_template_semantic_review_plus_independent_per_instance_reconstruction",
    "exact_question_first_check": {
      "model_sha256": "c6ffbdb161f2049da2b8ba63c5f362cf0b20556e9eea60c9d6e84200f77799ed",
      "arithmetic_steps": 0
    },
    "uses_answer_as_premise": false,
    "human_review": "NOT_PERFORMED",
    "formalization": "not_formalized",
    "Lean": "NOT_RUN",
    "Canonical_truth_promotion": false,
    "authority": "Owner-authorized reviewed reader publication; original question/candidate states remain historical and unchanged."
  }
}
