{
  "rubric_version": "PAPER-RUBRIC-1.0",
  "reviewer": "E",
  "paper_id": "ATT-0272",
  "paper_title": "MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters",
  "paper_version": "arXiv 2410.02081v2",
  "version_date": "2026/02/16",
  "first_public_date": "2024/10/02",
  "assessment_date": "2026-11-08",
  "reading_record": {
    "completed_at_utc": "2026-11-08T02:39:49.139304+00:00",
    "pdf_pages": 26,
    "coverage": "逐页全文及附录文本阅读；关键公式或表格按需原页视觉核对。参考文献已检查关联定位，未逐篇读取全部前作。",
    "experimental_execution": false
  },
  "paper_type": [
    "方法或算法",
    "实证分析"
  ],
  "analysis_mode": "standard",
  "user_context": {
    "research_question": null,
    "prior_knowledge": null,
    "constraints": null
  },
  "legacy_review": {
    "read_before_new_review": true,
    "full_old_review_available": false,
    "history_counts_as_new_review": false,
    "record": {
      "candidate_id": "ATT-0272",
      "counts_as_review": false,
      "sidecar_files_supplied": false,
      "records": [
        {
          "source_record_id": "S5-272",
          "source_id": "S5",
          "source_library_file_id": "libfile_849759d66a808191813dbe9bd1605bb4",
          "source_filename": "已粘贴的文本(5).txt",
          "source_line": 295,
          "source_number": 272,
          "title": "MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters",
          "source_url": "https://proceedings.iclr.cc/paper_files/paper/2026/hash/7db2348b5bfeca620aa7327df815adcc-Abstract-Conference.html",
          "raw_line": "| P272 | [MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters](https://proceedings.iclr.cc/paper_files/paper/2026/hash/7db2348b5bfeca620aa7327df815adcc-Abstract-Conference.html) | 2 | 待处理 | 尚未评审；引用较低（2 次，低于 10 次门槛） |",
          "raw_cells": [
            "P272",
            "[MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters](https://proceedings.iclr.cc/paper_files/paper/2026/hash/7db2348b5bfeca620aa7327df815adcc-Abstract-Conference.html)",
            "2",
            "待处理",
            "尚未评审；引用较低（2 次，低于 10 次门槛）"
          ],
          "normalized_title": "mixlinearextremelowresourcemultivariatetimeseriesforecastingwith01kparameters",
          "normalized_url": "proceedings.iclr.cc/paper_files/paper/2026/hash/7db2348b5bfeca620aa7327df815adcc-abstract-conference.html",
          "record_type": "legacy_unranked",
          "citation_verbatim": "2",
          "legacy_status_verbatim": "待处理",
          "legacy_unranked_reason_verbatim": "尚未评审；引用较低（2 次，低于 10 次门槛）",
          "counts_as_independent_review": false
        }
      ]
    },
    "handling": "旧完整评语及评分sidecar未提供；历史条目仅作为待核线索，不继承旧分数。"
  },
  "claims": [
    {
      "claim_id": "CL01",
      "claim": "极小共享模型能获得竞争性长时预测精度。",
      "assessment": "有限支持；不是所有数据最佳。",
      "location": "PDF 6、18"
    },
    {
      "claim_id": "CL02",
      "claim": "明确的176参数实现和所列效率倍数可直接可靠引用。",
      "assessment": "暂停作为可靠结论使用，需对齐算法维度、参数与MAC口径；部分比值已确认错误。",
      "location": "PDF 4、6—7、14、18、21—23"
    },
    {
      "claim_id": "CL03",
      "claim": "实验确认普遍谱稀疏与跨通道正则化机制。",
      "assessment": "证据不足，消融无法排除其他解释。",
      "location": "PDF 19—21"
    }
  ],
  "scores": [
    {
      "dimension_id": "A1",
      "dimension_name": "问题重要性",
      "score": 80,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "极低资源预测有明确需求。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 1—2"
    },
    {
      "dimension_id": "A2",
      "dimension_name": "原创性",
      "score": 65,
      "status": "tentative",
      "confidence": "中",
      "judgment_range": [
        55,
        75
      ],
      "rationale": "结合分段与低秩谱有具体设计，直接前作继承较多。",
      "missing_information": "结合分段与低秩谱有具体设计，直接前作继承较多。",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 2—4、9"
    },
    {
      "dimension_id": "A3",
      "dimension_name": "实质推进程度",
      "score": 60,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "很小模型有竞争力，精确资源优势规格不清。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—8、18"
    },
    {
      "dimension_id": "A4",
      "dimension_name": "知识与解释增量",
      "score": 40,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "性能饱和不能证明普遍谱稀疏，跨通道机制解释不足。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 8—9、19—21"
    },
    {
      "dimension_id": "B1",
      "dimension_name": "问题定义与评价有效性",
      "score": 75,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "预测任务清楚，资源指标定义有但计数口径不足。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 2、5—7"
    },
    {
      "dimension_id": "B2",
      "dimension_name": "技术与论证正确性",
      "score": 40,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "式6维数、频域实复数与参数公式不自洽；并非判定实际代码不可运行。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 4、14"
    },
    {
      "dimension_id": "B3",
      "dimension_name": "数据与评测流程完整性",
      "score": 60,
      "status": "tentative",
      "confidence": "中",
      "judgment_range": [
        45,
        70
      ],
      "rationale": "给切分与标准化，基线借用旧版本且结果表有冲突。",
      "missing_information": "给切分与标准化，基线借用旧版本且结果表有冲突。",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 15—18"
    },
    {
      "dimension_id": "B4",
      "dimension_name": "比较对象与比较公平性",
      "score": 60,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "有SparseTSF/FITS等直接对手，缺少一致调参和测量链证据。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 5、15—18"
    },
    {
      "dimension_id": "C1",
      "dimension_name": "核心主张的证据充分度",
      "score": 50,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "竞争性精度有支持，标题中心的确切资源量与部署外推证据欠缺。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—7、18、22—23"
    },
    {
      "dimension_id": "C2",
      "dimension_name": "机制归因与竞争解释区分度",
      "score": 50,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "双路径消融有效，但不区分参数预算、时频归因与共享训练收益。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 8、19—21"
    },
    {
      "dimension_id": "C3",
      "dimension_name": "结果稳定性与不确定性处理",
      "score": 40,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "未报告重复种子方差，小误差差距不宜视为稳定。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—8、18—24"
    },
    {
      "dimension_id": "C4",
      "dimension_name": "适用范围与边界验证",
      "score": 60,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "有九数据集与多超参，无实际端侧或分布外稳定性验证。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 17—24"
    },
    {
      "dimension_id": "D1",
      "dimension_name": "过程透明度",
      "score": 40,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "伪代码关键reshape与上下采样不完整，维数不一致。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 14—15"
    },
    {
      "dimension_id": "D2",
      "dimension_name": "研究资源可获得性",
      "score": 60,
      "status": "tentative",
      "confidence": "中",
      "judgment_range": [
        40,
        80
      ],
      "rationale": "公开仓库和数据地址存在，未核验代码参数及依赖。",
      "missing_information": "公开仓库和数据地址存在，未核验代码参数及依赖。",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 11、17"
    },
    {
      "dimension_id": "D3",
      "dimension_name": "主张克制与报告一致性",
      "score": 35,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "效率比值、单位、跨表参数和性能报告有可定位冲突，普遍性措辞过强。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—9、18—23"
    },
    {
      "dimension_id": "D4",
      "dimension_name": "表达清晰度",
      "score": 50,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "架构大意清楚，但符号、维度、数值和术语不一致阻碍复现。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 3—5、14、18—23"
    },
    {
      "dimension_id": "E1",
      "dimension_name": "复杂度合理性",
      "score": 75,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "小型双线性路径合理，复杂理论包装不必要。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 3—4"
    },
    {
      "dimension_id": "E2",
      "dimension_name": "资源效率与成本收益",
      "score": 50,
      "status": "tentative",
      "confidence": "中",
      "judgment_range": [
        30,
        75
      ],
      "rationale": "小规模有潜力，但精确MAC/参数计数和部署收益暂不能确认。",
      "missing_information": "小规模有潜力，但精确MAC/参数计数和部署收益暂不能确认。",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—7、18、22—23"
    },
    {
      "dimension_id": "E3",
      "dimension_name": "可迁移与可复用程度",
      "score": 65,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "共享线性基线易迁移，准确实现尚需仓库解决文本歧义。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 3—4、14"
    },
    {
      "dimension_id": "E4",
      "dimension_name": "后续研究启发性",
      "score": 65,
      "status": "rated",
      "confidence": "高",
      "judgment_range": null,
      "rationale": "有助探索线性结构和极小预算，但谱结构归因须更严格。",
      "missing_information": "",
      "claim_ids": [],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 8—9、19—21"
    },
    {
      "dimension_id": "F1",
      "dimension_name": "与当前问题的相关性",
      "score": null,
      "status": "unknown",
      "confidence": null,
      "judgment_range": null,
      "rationale": "未给定用户正在解决的具体预测或异常检测问题。",
      "missing_information": "个人研究背景缺失；不以论文质量代填。",
      "claim_ids": [],
      "source_ids": [],
      "location": "任务上下文（非论文证据）"
    },
    {
      "dimension_id": "F2",
      "dimension_name": "相对于已有知识的学习收益",
      "score": null,
      "status": "unknown",
      "confidence": null,
      "judgment_range": null,
      "rationale": "未给定用户已掌握的理论、算法或已读论文。",
      "missing_information": "个人研究背景缺失；不以论文质量代填。",
      "claim_ids": [],
      "source_ids": [],
      "location": "任务上下文（非论文证据）"
    },
    {
      "dimension_id": "F3",
      "dimension_name": "当前使用可行性",
      "score": null,
      "status": "unknown",
      "confidence": null,
      "judgment_range": null,
      "rationale": "未给定用户用途、算力、数据与许可约束。",
      "missing_information": "个人研究背景缺失；不以论文质量代填。",
      "claim_ids": [],
      "source_ids": [],
      "location": "任务上下文（非论文证据）"
    },
    {
      "dimension_id": "F4",
      "dimension_name": "当前决策信息价值",
      "score": null,
      "status": "unknown",
      "confidence": null,
      "judgment_range": null,
      "rationale": "未给定当前待决策的具体方法或研究路线。",
      "missing_information": "个人研究背景缺失；不以论文质量代填。",
      "claim_ids": [],
      "source_ids": [],
      "location": "任务上下文（非论文证据）"
    }
  ],
  "risks": [
    {
      "risk_id": "R01",
      "severity": "关键",
      "certainty": "已确认文本矛盾",
      "description": "频域矩阵计数与r/n不一致，附录式6维数一般不兼容，实复数定义冲突；确切实现及资源结论需暂停引用而非推定所有实验无效。",
      "affected_claim_ids": [
        "CL02"
      ],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 4、14—15"
    },
    {
      "risk_id": "R02",
      "severity": "重要",
      "certainty": "已确认",
      "description": "速度比值、MAC单位、FITS参数数及跨表MSE有可复核不一致。",
      "affected_claim_ids": [
        "CL02"
      ],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 6—7、18、21—23"
    },
    {
      "risk_id": "R03",
      "severity": "重要",
      "certainty": "已确认缺失",
      "description": "未报告多种子离散程度；借用旧版基线与同硬件比较口径不足。",
      "affected_claim_ids": [
        "CL01"
      ],
      "source_ids": [
        "S01"
      ],
      "location": "PDF 15、18"
    }
  ],
  "aggregation": {
    "weights": null,
    "weighted_score_observed": null,
    "weighted_coverage": null,
    "tentative_weight_share": null,
    "numeric_dimensions": 20,
    "applicable_dimensions": 24,
    "unweighted_dimension_coverage": 0.8333333333333334,
    "notes": "保留24维原始分数，不计算论文总分或跨论文排序；F组未知。"
  },
  "reading_recommendation": "定向查阅精简结构；暂停直接引用确切参数/计算倍数和普遍机制结论",
  "recommended_sections": [
    "3—4页结构",
    "14—15页实现及设置",
    "6—8、18页对照",
    "19—24页敏感性与计数"
  ],
  "sources": [
    {
      "source_id": "S01",
      "source_type": "paper_pdf",
      "title": "MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters",
      "version_or_date": "2410.02081v2",
      "location": "/workspace/scratch/ac01e91af073/candidate_recovery/priority_packet_20261108/papers/ATT-0272/ATT-0272_paper.pdf",
      "sha256": "bccc6a5a9d54f871fedb758c93424d09c02b6dfeb3dae3644e81bac3df622792",
      "access_status": "已读取完整PDF文本及附录；本地版本，不推定等同会议终稿"
    },
    {
      "source_id": "S02",
      "source_type": "legacy_history",
      "location": "/workspace/scratch/ac01e91af073/candidate_recovery/priority_packet_20261108/papers/ATT-0272/legacy_reference_only.json",
      "access_status": "已先读；无旧完整评语"
    }
  ],
  "independence": "未读取同批其他评审的新意见。",
  "narrative_chinese_characters": 1512
}