{
  "schema_version": "ocme-reviewed-question-reader-v1",
  "question_id": "q-20261012-advance-20261016-r06-injective-0043",
  "pilot_number": "R0013-07468",
  "number": 7468,
  "family_id": "qf-density16-inj-remove-input-collision-change",
  "title": {
    "zh-Hant": "第 7468 題：刪一輸入的碰撞變化",
    "en": "Question 7468: Input Deletion with Original Collision Labels Retained"
  },
  "original_question": {
    "schema_version": "ocme-question-v0.1",
    "id": "q-20261012-advance-20261016-r06-injective-0043",
    "batch_id": "batch-20261012-advance-20261016-r06-injective-foundations",
    "language": "zh-Hant",
    "source_mko_ids": [
      "mko-injective"
    ],
    "title_zh": "刪一輸入的碰撞變化",
    "stem_zh": "Fin型別從0起，完整總表；Fin(5)=[0, 1, 2, 3, 4]→Fin(3)=[0, 1, 2]，images=[2, 1, 1, 0, 1]。刪原輸入at=4，陪域不變。求 (原images, 原碰撞, 保留原始輸入標籤, 刪後碰撞, 刪後單射資格)，不重編輸入索引。",
    "answer": {
      "kind": "expression",
      "value": "([2, 1, 1, 0, 1], [[1, 2], [1, 4], [2, 4]], [0, 1, 2, 3], [[1, 2]], 否)",
      "explanation_zh": "有限結構核對=([2, 1, 1, 0, 1], [[1, 2], [1, 4], [2, 4]], [0, 1, 2, 3], [[1, 2]], 否)。只移去該原始標籤，完整碰撞比較仍使用保留的原始輸入標籤。有限精確核對不是一般形式證明。先資格後求值，空函數條件依宣告陪域。"
    },
    "difficulty": {
      "band": "undergraduate_core",
      "level": 3,
      "skills": [
        "刪一輸入的碰撞變化"
      ]
    },
    "variant": {
      "family_id": "qf-density16-inj-remove-input-collision-change",
      "seed": 202610166043,
      "parameters": {
        "n": 5,
        "m": 3,
        "images": [
          2,
          1,
          1,
          0,
          1
        ],
        "at": 4,
        "domain": "Fin_total_table",
        "operation": "inj-remove-input-collision-change",
        "semantic_template": "qf-density16-inj-remove-input-collision-change/{\"at\":4,\"images\":[2,1,1,0,1],\"m\":3,\"n\":5}"
      }
    },
    "verification": {
      "status": "candidate",
      "checks": [
        "producer_exact_integer_rational_arithmetic",
        "producer_finite_enumeration",
        "producer_source_snapshot_check",
        "producer_substantive_template_deduplication",
        "producer_json_schema"
      ],
      "warning_zh": "僅為產生端候選及自檢；主端須另做獨立驗收，不構成人工審定、普遍證明或形式 Evidence。"
    },
    "provenance": {
      "generator_role": "question_producer",
      "generator_model": "model_unknown",
      "generated_at": "2026-10-12",
      "contract_version": "ocme-question-factory-v0.1"
    }
  },
  "original_english_edition": {
    "schema_version": "ocme-question-localization-v0.1",
    "question_id": "q-20261012-advance-20261016-r06-injective-0043",
    "batch_id": "batch-20261012-advance-20261016-r06-injective-foundations",
    "locale": "en",
    "translation_state": "ai_candidate",
    "source": {
      "question_sha256": "887b5cac7d226ff24db0053bdc28f9715108b3955030e1ae93e0be5b7b243e92",
      "family_id": "qf-density16-inj-remove-input-collision-change",
      "seed": 202610166043,
      "semantic_template": "qf-density16-inj-remove-input-collision-change/{\"at\":4,\"images\":[2,1,1,0,1],\"m\":3,\"n\":5}"
    },
    "fields": {
      "title": "Input Deletion with Original Collision Labels Retained",
      "stem": "Finite types start at 0: Fin(5)={0,…,4}→Fin(3), complete images=[2, 1, 1, 0, 1]. Check the whole original total table before any candidate evaluation; empty-function properties depend on the declared codomain. Delete original input at=4, keeping the codomain. Give (original images, original collisions, retained original input labels, later collisions, later injectivity), without renumbering inputs.",
      "answer": {
        "kind": "expression",
        "value": "([2, 1, 1, 0, 1], [[1, 2], [1, 4], [2, 4]], [0, 1, 2, 3], [[1, 2]], No)",
        "explanation": "Remove only the specified original label and compare equal outputs using all retained original labels. These exact finite checks are not new general formal Evidence. The exact result, retaining the requested order, is ([2, 1, 1, 0, 1], [[1, 2], [1, 4], [2, 4]], [0, 1, 2, 3], [[1, 2]], No)."
      },
      "skills": [
        "Input Deletion with Original Collision Labels Retained"
      ],
      "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": "Fin型別從0起，完整總表；Fin(5)=[0, 1, 2, 3, 4]→Fin(3)=[0, 1, 2]，images=[2, 1, 1, 0, 1]。刪原輸入at=4，陪域不變。求 (原images, 原碰撞, 保留原始輸入標籤, 刪後碰撞, 刪後單射資格)，不重編輸入索引。",
        "en": "Finite types start at 0: Fin(5)={0,…,4}→Fin(3), complete images=[2, 1, 1, 0, 1]. Check the whole original total table before any candidate evaluation; empty-function properties depend on the declared codomain. Delete original input at=4, keeping the codomain. Give (original images, original collisions, retained original input labels, later collisions, later injectivity), without renumbering inputs."
      }
    }
  ],
  "steps": [
    {
      "id": "S001",
      "uses": [
        "G001"
      ],
      "before": "source index=0∈Fin(5)",
      "after": "image[0]=2∈Fin(3)",
      "relation": "implies",
      "rule_id": "injective_complete_original_table_row",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整原表的每格都先合型，不只核對稍後會查詢的格。",
        "en": "First type-check every cell of the complete original table,not only cells queried later."
      },
      "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": "source index=1∈Fin(5)",
      "after": "image[1]=1∈Fin(3)",
      "relation": "implies",
      "rule_id": "injective_complete_original_table_row",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整原表的每格都先合型，不只核對稍後會查詢的格。",
        "en": "First type-check every cell of the complete original table,not only cells queried later."
      },
      "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": "source index=2∈Fin(5)",
      "after": "image[2]=1∈Fin(3)",
      "relation": "implies",
      "rule_id": "injective_complete_original_table_row",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整原表的每格都先合型，不只核對稍後會查詢的格。",
        "en": "First type-check every cell of the complete original table,not only cells queried later."
      },
      "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": "source index=3∈Fin(5)",
      "after": "image[3]=0∈Fin(3)",
      "relation": "implies",
      "rule_id": "injective_complete_original_table_row",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整原表的每格都先合型，不只核對稍後會查詢的格。",
        "en": "First type-check every cell of the complete original table,not only cells queried later."
      },
      "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": "source index=4∈Fin(5)",
      "after": "image[4]=1∈Fin(3)",
      "relation": "implies",
      "rule_id": "injective_complete_original_table_row",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整原表的每格都先合型，不只核對稍後會查詢的格。",
        "en": "First type-check every cell of the complete original table,not only cells queried later."
      },
      "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": "Fin(5)→Fin(3);original images=[2, 1, 1, 0, 1]",
      "after": "injectivity forbids equal outputs from distinct original input labels",
      "relation": "implies",
      "rule_id": "finite_injectivity_label_scope",
      "conditions": [],
      "explanation": {
        "zh-Hant": "單射只禁止不同輸入同輸出；空函數可空真，不能混同滿射。所有原表格先合法，後續限制或刪除保留原始標籤。",
        "en": "Injectivity forbids equal outputs for distinct inputs;the empty function is vacuously injective,which is not surjectivity.Type-check the whole original table and retain original labels under restriction or deletion."
      },
      "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": "phase=before_remove;inputs=(0,1);outputs=(2,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(0,2);outputs=(2,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(0,3);outputs=(2,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(0,4);outputs=(2,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(1,2);outputs=(1,1)",
      "after": "collision=是",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(1,3);outputs=(1,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(1,4);outputs=(1,1)",
      "after": "collision=是",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(2,3);outputs=(1,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(2,4);outputs=(1,1)",
      "after": "collision=是",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;inputs=(3,4);outputs=(0,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=before_remove;all input labels=[0, 1, 2, 3, 4]",
      "after": "collisions=[[1, 2], [1, 4], [2, 4]];injective=否",
      "relation": "implies",
      "rule_id": "complete_pairwise_collision_inventory",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整比較全部x<y對後，碰撞列空當且僅當此有限限制單射；0或1個輸入時沒有不同輸入對。",
        "en": "After all x<y pairs are checked,an empty collision list is equivalent to injectivity on this finite restriction.With0 or1 input,there are no distinct-input pairs."
      },
      "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": "phase=after_remove;inputs=(0,1);outputs=(2,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=after_remove;inputs=(0,2);outputs=(2,1)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=after_remove;inputs=(0,3);outputs=(2,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "phase=after_remove;inputs=(1,2);outputs=(1,1)",
      "after": "collision=是",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "S022",
      "uses": [
        "G001",
        "S021"
      ],
      "before": "phase=after_remove;inputs=(1,3);outputs=(1,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "S023",
      "uses": [
        "G001",
        "S022"
      ],
      "before": "phase=after_remove;inputs=(2,3);outputs=(1,0)",
      "after": "collision=否",
      "relation": "implies",
      "rule_id": "injective_collision_pair_audit",
      "conditions": [],
      "explanation": {
        "zh-Hant": "每一對不同原標籤只查一次；輸出值相同時兩個輸入仍不同，不能去重輸出而抹掉碰撞。",
        "en": "Check each distinct original-label pair once;equal output values do not merge the two inputs.Deduplicating outputs must not erase a collision."
      },
      "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": "S024",
      "uses": [
        "G001",
        "S023"
      ],
      "before": "phase=after_remove;all input labels=[0, 1, 2, 3]",
      "after": "collisions=[[1, 2]];injective=否",
      "relation": "implies",
      "rule_id": "complete_pairwise_collision_inventory",
      "conditions": [],
      "explanation": {
        "zh-Hant": "完整比較全部x<y對後，碰撞列空當且僅當此有限限制單射；0或1個輸入時沒有不同輸入對。",
        "en": "After all x<y pairs are checked,an empty collision list is equivalent to injectivity on this finite restriction.With0 or1 input,there are no distinct-input pairs."
      },
      "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": "S025",
      "uses": [
        "G001",
        "S024"
      ],
      "before": "removed original input=4;retained labels=[0, 1, 2, 3]",
      "after": "remaining collisions=[[1, 2]];codomain m=3",
      "relation": "implies",
      "rule_id": "removed_input_labels_not_renumbered",
      "conditions": [],
      "explanation": {
        "zh-Hant": "刪的是一個原輸入標籤，保留者不重新編號；碰撞對仍用原標籤，陪域也不隨刪除而改。",
        "en": "Delete one original input label without renumbering survivors;collision pairs keep original labels and the codomain remains unchanged."
      },
      "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": [
      [
        2,
        1,
        1,
        0,
        1
      ],
      [
        [
          1,
          2
        ],
        [
          1,
          4
        ],
        [
          2,
          4
        ]
      ],
      [
        0,
        1,
        2,
        3
      ],
      [
        [
          1,
          2
        ]
      ],
      false
    ]
  },
  "conclusion": {
    "canonical_value": "([2, 1, 1, 0, 1], [[1, 2], [1, 4], [2, 4]], [0, 1, 2, 3], [[1, 2]], 否)",
    "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-20261012-advance-20261016-r06-injective-foundations",
      "batch_path": "public/data/questions/batches/batch-20261012-advance-20261016-r06-injective-foundations/questions.jsonl",
      "batch_sha256": "65bff135724c246bb730628d91519bc7486fb8a7f68f57e348e6019c9edaa9e8",
      "original_line": 43,
      "original_line_sha256": "81baac93676d681274cd9ab80d86ec534ca2adfe6a322f603580d98bdd6f94f9",
      "question_compact_sha256": "887b5cac7d226ff24db0053bdc28f9715108b3955030e1ae93e0be5b7b243e92",
      "english_row_compact_sha256": "87a2944505991ab957f5d2258fbc05d454d641d9112bc6782e4bda7d8897ec63",
      "english_manifest_path": "public/data/i18n/editions/batch-20261012-advance-20261016-r06-injective-foundations.en.json",
      "english_rows_path": "public/data/i18n/questions/batch-20261012-advance-20261016-r06-injective-foundations.en.jsonl"
    },
    "mko_bindings": {
      "mko-injective": {
        "sha256": "3075724e6925d827d24d227d1a1ae7ef1d5fb63e41ca8cbf87adcb12c8c76941",
        "english_sha256": "9fe4b6d40c7d49c6b6b3428ebeba9f5e119a339a59cb8c0838fc01d5e17f69bc",
        "original_path": "public/data/mko/injective.json",
        "english_path": "public/data/i18n/editions/mko-injective.en.json"
      }
    },
    "selected_manifest_sha256": "5233edba9654a6cffd8b6b2d83c932f82ded15f9c0b7c733bd049943e672acff",
    "selected_part_sha256": "944e5a6e7ddc77eb28f9280c1b90da6c7083069b4790cbeb7488d009328efce8",
    "original_candidate_sha256": "be9d5d5008ad1b4a82e452be9b667f90946d66f515ad9f9a4a5bc9d1e23cc504",
    "original_candidate_line_sha256": "be9d5d5008ad1b4a82e452be9b667f90946d66f515ad9f9a4a5bc9d1e23cc504"
  },
  "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-20261026-005-p14",
    "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": "e89fc6d4a50a4a7fc942c6c8939a92f835e30105a9a5850e37dd198f31c1ed59",
      "question_first_witness_sha256": "0e1039f4cf022bf35af4e5531651c9a2b7ca7a5fdacac34fb1e4bcd9a81f6299"
    },
    "status": "second_context_reviewed",
    "mathematical_semantics": true,
    "bilingual_semantics": true,
    "steps_reviewed": 25,
    "method": "family_template_semantic_review_plus_independent_per_instance_reconstruction",
    "exact_question_first_check": {
      "model_sha256": "a5db5c9c43398df477216bc08dda09d77ba4bed64a0e4a39291499ff9e406204",
      "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."
  }
}
