{
  "schema": "diskcover-public-test-reports-v1",
  "n": 11,
  "report_scope": "Historical source-based reports and an independently reviewed failed DeepSeek submission; mathematical answer data withheld. Existing global proofs were not rerun; the DeepSeek exact counterexample was replayed.",
  "records_comparable": false,
  "records": [
    {
      "record_id": "n11-deepseek-v4-pro-max-20261002",
      "n": 11,
      "model": "deepseek-v4-pro/max",
      "model_id": "deepseek-v4-pro",
      "reasoning_effort": "max",
      "provider_recorded": "deepseek-official",
      "test_date_utc": "2026-10-02",
      "status": "failed_incorrect_proof",
      "score": "0",
      "elapsed_seconds": "39447.149",
      "main_system_accumulated_seconds": null,
      "timing_scope": "first_goal_create_to_final_substantive_assistant_message_includes_interruption_intervals",
      "original_budget_seconds": "43200",
      "submission_within_budget": true,
      "valid_completion_within_budget": false,
      "session_id": "session-6badb200-1360-4d95-a357-d9f54be3a468",
      "source_session_sha256": "4dfa921440e6b9d4a219b80b63fd514609c1661163e5d82cd424a9b445c4744d",
      "source_event_seqs": {
        "start": 12,
        "goal_mark_complete": 2514,
        "final_submission": 2522,
        "final_turn_end": 2525
      },
      "turn_interval_sum_seconds": "37027.526",
      "turn_interval_sum_is_system_accumulated_time": false,
      "token_usage": {
        "inputTokens": 983404,
        "outputTokens": 567001,
        "cacheReadTokens": 161620608,
        "cacheWriteTokens": 0,
        "totalTokens": 163171013,
        "usage_record_count": 373,
        "currency_cost": null,
        "scope": "saved_assistant_message_usage; not complete invoiced usage"
      },
      "hardware": {
        "cpu": "AMD Ryzen 9 8945HX with Radeon Graphics",
        "memory_generation": "DDR5",
        "memory_gib": 32,
        "memory_bytes": 34359738368,
        "snapshot_scope": "queried_during_report_preparation_not_at_task_start"
      },
      "environment": {
        "python": "3.12.3",
        "numpy": "2.5.3",
        "scipy": "1.18.1",
        "sympy": "1.14.0",
        "mpmath": "1.3.0",
        "pari_gp": "2.15.4",
        "fplll_tools": null,
        "versions_source": "actual_test_tool_output",
        "package_preinstallation_status": "not_fully_known"
      },
      "phases": [
        {
          "start_relative_seconds": "0",
          "end_relative_seconds": "1673",
          "activity_zh": "资料检索、图片重建与环境准备",
          "activity_en": "Sources, image reconstruction and environment setup",
          "outcome_zh": "查阅构型目录、Handbook 和 Fejes Tóth 论文，未取得适用于 n=11 的完整全局证明。",
          "outcome_en": "Read the configuration collection, Handbook and Fejes Tóth paper; obtain no applicable complete global proof for n=11."
        },
        {
          "start_relative_seconds": "1673",
          "end_relative_seconds": "3310",
          "activity_zh": "优化与高精度接触方程",
          "activity_en": "Optimization and high-precision contact equations",
          "outcome_zh": "首个局部结果较差；改善图片初值，修正半径评估器，得到更好的数值候选。",
          "outcome_en": "Improve image-derived starting data after a poor local result, correct the radius evaluator, and obtain a better numerical candidate."
        },
        {
          "start_relative_seconds": "3310",
          "end_relative_seconds": "9984",
          "activity_zh": "覆盖程序与类型分析",
          "activity_en": "Coverage programs and type analysis",
          "outcome_zh": "覆盖程序输出通过，对内圆数与 边界圆盘连续分组作局部数值分析；尚无严格全局下界。",
          "outcome_en": "Coverage programs report success; local numerical searches examine interior counts and consecutive groups of boundary disks, without certified global lower bounds."
        },
        {
          "start_relative_seconds": "9984",
          "end_relative_seconds": "35130",
          "activity_zh": "整数关系搜索及反复重算",
          "activity_en": "Relation searches and repeated recomputation",
          "outcome_zh": "多次提高精度、尝试 PSLQ 与 PARI/GP，否定多个伪关系；放弃退化的 Krawczyk 路线；首份交付承认缺最小多项式。",
          "outcome_en": "Raise precision, try PSLQ and PARI/GP, reject several spurious relations, abandon a degenerate Krawczyk route, and acknowledge the missing minimal polynomial in the first delivery."
        },
        {
          "start_relative_seconds": "35130",
          "end_relative_seconds": "37822",
          "activity_zh": "fplll 与后续核验",
          "activity_en": "fplll and subsequent checks",
          "outcome_zh": "加入非对称类型局部搜索；找到八次大系数关系，修正系数顺序后因子分解与 Sturm 输出通过；未建立其根等于最优半径。",
          "outcome_en": "Add asymmetric local searches, find a degree-eight large-coefficient relation, and obtain passing factorization/Sturm outputs after correcting coefficient order; no exact connection to the optimum is proved."
        },
        {
          "start_relative_seconds": "37822",
          "end_relative_seconds": "39447.149",
          "activity_zh": "圆心代数数据与最终交付",
          "activity_en": "Algebraic centers and final delivery",
          "outcome_zh": "生成圆心多项式，修复缺失 sqrt 和精度设置错误，自称完成。事后严格审核发现提交构型漏覆盖。",
          "outcome_en": "Generate coordinate polynomials, fix a missing sqrt import and a precision setting, and claim completion. Subsequent exact review refutes coverage."
        }
      ],
      "mathematical_review": {
        "accepted": false,
        "submitted_coverage_refuted": true,
        "true_optimal_radius_refuted": false,
        "answer_data_public": false,
        "review_sha256": "492d601cc2d9969a9aecde1e0c0dd60ee49a0ee3c9e9e19f6d5a5102430ee251",
        "failure_reasons": [
          "exact_uncovered_point",
          "incomplete_finite_reduction",
          "unproved_classification_and_local_minimum_used_as_lower_bound"
        ]
      },
      "prompt_artifacts": [
        {
          "kind": "goal_objective",
          "original_text_url": "reports/n11-deepseek-main-prompt.original.txt",
          "sha256": "2baffa2d41229eab1d48003c64f53975c0696961a6236219373a7090bb7ff892"
        }
      ],
      "report_urls": {
        "zh": "record-n11-deepseek-v4-pro-max-20261002.zh.html",
        "en": "record-n11-deepseek-v4-pro-max-20261002.html"
      },
      "resource_compliance_audit": "not_complete; mathematical_failure_decisive",
      "score_scope": "benchmark_failure_score",
      "acceptance_status": "failed_incorrect_proof_exact_coverage_counterexample",
      "source_report": {
        "filename": "solution.md",
        "sha256": "5ab2821e885697598ff2b869ee68d53e59f8c4d51845cf4cf358a19fb125e86b",
        "public_version": "independent_answer_withheld_review"
      }
    }
  ]
}
