{
  "artifactType": "STUDENT_CAPSTONE_REPORT_DRAFT",
  "evidenceLibrarySha256": "7131189AA267691987704A6F2FCAC2A1F2F2B4436B1759E99C2F59DD4407BA12",
  "hardwareClaims": {"canFramesSent": 0, "hardwareAccessed": false, "pcanInitialized": false},
  "learningProcessBinding": {
    "evidenceDraft": {
      "artifactType": "LOCAL_EVIDENCE_TO_REPORT_DRAFT",
      "schemaVersion": "0.3.0",
      "sha256": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
      "evidenceSourceSha256": "EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE",
      "sourceLineage": {
        "lineageKind": "CAMERA_OBSERVATION_ADAPTER_REVIEW",
        "cameraRoleSourceSha256": "BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB",
        "observationRecordSha256": "CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC",
        "observationAdapterSha256": "DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD",
        "multimodalReviewSha256": "EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE"
      }
    },
    "rehearsal": {
      "artifactType": "LOCAL_CAPSTONE_DEMO_REHEARSAL",
      "schemaVersion": "0.3.0",
      "sha256": "FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF",
      "reportSha256": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
      "evidenceSourceSha256": "EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE"
    }
  },
  "projectTitle": "人与灵巧手猜拳自主控制应用",
  "reportId": "STUDENT-PRACTICE-DRAFT-002",
  "schemaVersion": "0.3.0",
  "sections": [
    {
      "citations": ["E01_REPORT_BRIEF"],
      "sectionId": "S01_PURPOSE",
      "studentReasoning": {"developmentDecision": "CONNECT_AUTONOMOUS_LOOP", "evidenceInterpretation": "OFFLINE_SCOPE_ONLY", "boundaryPlan": "DEFINE_REAL_EVIDENCE_NEXT"},
      "studentText": "我希望用猜拳这个人人熟悉的任务，把视觉识别、质量判断、决策、动作执行和反馈验证连接成一个可运行、可解释的软件闭环。本轮证据只覆盖离线教学范围，真实数据和设备结果需要另行验证。"
    },
    {
      "citations": ["E02_SYNTHETIC_FEATURES", "E03_MODEL_MANIFEST"],
      "sectionId": "S02_PERCEPTION",
      "studentReasoning": {"developmentDecision": "QUALITY_GATED_PERCEPTION", "evidenceInterpretation": "DATA_MODEL_BINDING_ONLY", "boundaryPlan": "TEST_REAL_VARIATION_NEXT"},
      "studentText": "当前感知实验使用24条合成特征训练教学模型，Manifest绑定数据与算法，低置信度输入会变成unknown。它适合复现学习流程，但不能代表真实相机在光照、遮挡和不同手型下的识别精度。"
    },
    {
      "citations": ["E04_DECISION_SOURCE"],
      "sectionId": "S03_DECISION",
      "studentReasoning": {"developmentDecision": "DETERMINISTIC_POLICY_WITH_STOP", "evidenceInterpretation": "SOURCE_PROVES_MAPPING_ONLY", "boundaryPlan": "TEST_INVALID_INPUT_NEXT"},
      "studentText": "决策模块只根据质量合格的Observation执行确定性克制规则，rock对应paper；遇到unknown或质量不足时返回STOP。源码能证明映射和拒绝规则，但不能证明视觉识别正确或动作已经执行。"
    },
    {
      "citations": ["E05_ACTION_SOURCE", "E07_MOCK_TRACE"],
      "sectionId": "S04_EXECUTION_FEEDBACK",
      "studentReasoning": {"developmentDecision": "TARGET_FEEDBACK_SEPARATION", "evidenceInterpretation": "TRACE_PROVES_MOCK_SEQUENCE", "boundaryPlan": "VERIFY_REAL_AXIS_NEXT"},
      "studentText": "动作映射把手势意图转换成六轴目标，Mock驱动检查反馈质量和新鲜度，Trace依次记录计划、反馈和完成事件。这里生成目标不等于动作完成，真实轴号、方向和限位仍需独立核对。"
    },
    {
      "citations": ["E08_MOCK_TESTS"],
      "sectionId": "S05_SAFE_STOP",
      "studentReasoning": {"developmentDecision": "TEST_SUCCESS_AND_FAIL_CLOSED", "evidenceInterpretation": "ASSERTIONS_SUPPORT_TWO_PATHS", "boundaryPlan": "ADD_BOUNDARY_CASES_NEXT"},
      "studentText": "我分别检查0.96正常路径和0.86低置信度路径，后者得到MISSING与STOP，末事件为command.not_dispatched。这支持Mock命令在驱动前被拒绝；下一步还要测试阈值边界、缺失和过期反馈。"
    },
    {
      "citations": ["E09_BASELINE_REPLAY", "E10_DELAYED_REPLAY"],
      "sectionId": "S06_REPLAY_TRACE",
      "studentReasoning": {"developmentDecision": "COMPARE_ALIGNED_TIME_EVIDENCE", "evidenceInterpretation": "DELAY_IS_OBSERVATION_NOT_CAUSE", "boundaryPlan": "CAPTURE_SYNCED_DIAGNOSTICS_NEXT"},
      "studentText": "基准和延迟Replay最终到达相同目标，但延迟记录晚300毫秒。这个观察只能确认时间差，不能直接断定PCAN、调度系统或设备是根因；下一步要同步采集返回码、反馈、画面和Trace。"
    },
    {
      "citations": ["E12_RFC3161_TOKEN", "E13_LTV_SET"],
      "sectionId": "S07_INTEGRITY_TIME",
      "studentReasoning": {"developmentDecision": "SEPARATE_INTEGRITY_TIME_TRUST", "evidenceInterpretation": "STRUCTURE_IS_NOT_TRUTH", "boundaryPlan": "VERIFY_PRODUCTION_TRUST_NEXT"},
      "studentText": "签名帮助发现报告字节变化，RFC 3161令牌绑定摘要与时间，长期材料保存历史状态并支持续期。但教学根和教学TSA不等于生产信任，内容真实性、身份和撤销状态还需分别验证。"
    },
    {
      "citations": ["E01_REPORT_BRIEF", "E13_LTV_SET"],
      "sectionId": "S08_LIMITS_NEXT",
      "studentReasoning": {"developmentDecision": "STATE_LIMIT_AND_NEXT_TEST", "evidenceInterpretation": "CLAIM_ONLY_SYNTHETIC_RESULTS", "boundaryPlan": "PLAN_AUTHORIZED_REAL_REPLAY"},
      "studentText": "当前结论只覆盖合成数据、Mock执行和教学Replay。下一轮应在教师授权下采集脱敏真实回放，同时保存相机时间、PCAN返回码、六轴反馈与Trace，并预先规定怎样判断延迟和失败关闭是否改善。"
    }
  ],
  "sourceOrigin": "TEACHING_CANDIDATE",
  "studentAuthored": true
}