当你在向《自动化学报》(Acta Automatica Sinica, AAS) 正式提交稿件前做投稿就绪审计时调用。覆盖官网 aas.net.cn 的 ScholarOne 投审稿系统(aas-cn)、双盲匿名化(删除页眉页脚/标题下方/尾注/文件名中的作者单位基金号)、全部作者签名加盖第一作者单位公章的《作者承诺》前置提交、只收原创非翻译稿与不接收 AI 署名、学术不端查重、栏目(综述/论文/短文)归属与退稿风险分诊。适用于把一份控制/自动化/模式识别方向的中文稿打磨到符合本刊双盲三审制门槛的场景。
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当你在需要理解《自动化学报》(Acta Automatica Sinica, AAS) 的双盲三审制审稿流程、各环节时间进度与作者可施加的杠杆时调用。建模编辑初审→双盲外审→退修/复审(多轮)→主编终审的完整链路，说明作者承诺前置、双盲对作者的约束、退修期限与重新送审、状态查询，帮助作者在 Acta Automatica Sinica 的评审各节点做出正确动作、管理预期并避免流程性失误。
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Use when drafting the ACM MM (ACM Multimedia) rebuttal — turning multiple anonymous reviews into one focused, anonymous response that fixes factual errors first, adds small confirmatory cross-modal results, concedes calibratedly, and stays inside policy (anonymous, no new external links), written for the area chair who decides.
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当你在为《自动化学报》(Acta Automatica Sinica, AAS) 确定选题、判断稿件是否契合本刊控制与自动化学科定位、以及在综述/论文/短文三类栏目间定位时调用。帮助辨析本刊与兄弟中文刊(计算机学报/软件学报/电子学报/计算机研究与发展/计算机科学)的学科分工，评估创新性与贡献可数性，避免"主题超范围""无新意""重复前人"等初审退稿理由，并把选题打磨到匹配 Acta Automatica Sinica 的控制/模式识别/机器人/智能系统侧重与中英文双语综述长文传统。
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在向《电子学报》(Acta Electronica Sinica, AES) 正式提交稿件前做投稿就绪审计时调用。覆盖官网 ejournal.org.cn 在线投稿系统、注册与稿件同步、官方 Word/LaTeX 模板、中英文摘要与关键词、中图分类号(TN 为主)、GB/T 7714 参考文献、双盲评审的匿名化要求、稿件评审费(中文约 199 元/英文约 260 元 待核实以系统为准)、涉密脱敏、栏目归属与稿件类型选择，并在上传前做退稿风险分诊。适用于把一份电子/信息/通信/信号处理方向的中文原创论文打磨到符合本刊四级审理门槛的场景。
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Use when situating an Administrative Science Quarterly (ASQ) manuscript within organization-theory conversations and sharpening the gap/tension it addresses. Positions the argument; it does not develop the core theory or write the methods.
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当稿件被《电子学报》(Acta Electronica Sinica, AES) 录用后进入定稿、校样与清样阶段时使用。覆盖录用通知后的版权协议签署、按最终排版规范核对中英文题名/摘要/关键词/中图分类号、补全双盲阶段隐去的作者信息与基金编号、GB/T 7714 参考文献终校、图表与公式的印刷级质量、校样(清样)一校二校流程、版面费缴纳、DOI 与出版时序确认。帮助电子/信息/通信方向作者把已录用稿件零差错地送到《电子学报》正式出版。
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当你为《电子学报》(Acta Electronica Sinica, AES) 判断选题是否对口、定位到合适栏目/学科方向时使用。覆盖本刊电子科学与技术、信息与通信工程、信号与信息处理、电路与系统、电磁场与微波、集成电路等学科侧重，如何评估选题的创新性与本刊契合度、区别于计算机类与控制类兄弟刊、判断投中文《电子学报》还是英文姊妹刊 Chinese Journal of Electronics、以及原创论文与综述的定位差异。帮助作者在动笔前就把选题放进《电子学报》的正确坐标，避免因不对口在初审被退。
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当你在为《自动化学报》(Acta Automatica Sinica, AAS) 提升实验可复现性、组织复现包、防范数据污染时调用。覆盖环境与依赖固定、随机种子与多次运行、数据划分与防泄露、控制仿真的求解器/步长/系统参数记录、超参数与调参协议披露、以及配合双盲的匿名化复现材料，帮助控制/自动化/模式识别方向的中文稿在 Acta Automatica Sinica 外审中经得起"结果能否复现"的追问。
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当你在为《自动化学报》(Acta Automatica Sinica, AAS) 撰写相关工作、文献综述或确立创新性(delta)时调用。给出以差异为先的文献组织法、控制/自动化/模式识别方向代表作的覆盖策略、与最接近工作的对比表、避免"重复前人/无新意"初审退稿的自检，以及综述栏目所需的分类框架与批判性评价方法，帮助在 Acta Automatica Sinica 的中英文双语与综述长文传统下清晰界定本文相对已有研究的增量。
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当你在为《自动化学报》(Acta Automatica Sinica, AAS) 设计与呈现实验、仿真或实物验证时调用。覆盖研究问题(RQ)驱动的实验设计、公平基线与对照、控制类的稳定性/收敛性/鲁棒性分析、模式识别类的指标与统计显著性、消融实验、仿真与实物平台的报告要素，帮助为控制理论、机器人、智能系统方向的中文稿搭建经得起 Acta Automatica Sinica 双盲外审的实证与理论证据链。
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Use when auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and final-week sequencing.
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当你在稿件被《自动化学报》(Acta Automatica Sinica, AAS) 录用后、需要完成定稿、清样校对、补齐署名与基金、按本刊体例排版并处理稿酬与出版排期时调用。覆盖录用后从匿名稿恢复作者信息、套用本刊定稿模板、中英文摘要与参考文献终校、校样(清样)逐处核对、样刊与稿酬安排，帮助作者在 Acta Automatica Sinica 见刊前把清样打磨到零差错并理解稿酬与出版流程。
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Use when designing or auditing the experiments of an ACM MM (ACM Multimedia) paper — matched baselines per modality, ablations that isolate the cross-modal fusion, user studies or QoE measurement where the claim is subjective, dataset and media licensing, and honest compute reporting, so evidence supports a multimedia claim.
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Use when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.
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Use when choosing and justifying the research design for an Administrative Science Quarterly (ASQ) manuscript — qualitative (grounded-theory, ethnographic, historical) or quantitative — and setting the rigor bar. Designs the study; it does not run the analysis (see asq-data-analysis).
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当你为《电子学报》(Acta Electronica Sinica, AES) 稿件设计与呈现实验/仿真时使用。覆盖电子/信息/信号处理/通信类工作的实验目标与假设、数据集与仿真设置、基线与对比公平性、评价指标(SNR/BER/误差/准确率/资源占用)、消融与参数敏感性、统计显著性与多次运行、图表呈现规范、以及硬件/FPGA/测量实验的条件报告。帮助作者用严谨、可复现、对比公平的实验证据支撑创新点，抵御《电子学报》外审专家对"实验不充分、对比不公平、结果偶然"的质疑。
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Use when executing and reporting the analysis for an Administrative Science Quarterly (ASQ) manuscript — qualitative coding and data-to-theory construction, or quantitative estimation and robustness. Makes the evidence-to-theory link transparent; it does not design the study (see asq-methods).
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Use when deciding whether a project is a genuine ACM MM (ACM Multimedia) contribution rather than single-modality work, choosing a thematic area, and routing between ACM MM, CVPR/ICCV, ACL/EMNLP, ICMR, MMSys, NeurIPS/ICLR, and the ACM TOMM journal by finding the cross-modal or media-systems core of the contribution.
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Use when strengthening ACM CCS reproducibility evidence, including the artifact-availability posture, threat-model-to-evidence mapping, attack reproduction steps, defense overhead measurement, measurement-dataset provenance, environment and version pinning, and honest justification when artifacts cannot be shared.
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当你在收到《自动化学报》(Acta Automatica Sinica, AAS) 的外审意见、需要撰写退修说明与逐条答复信时调用。给出逐条对应审稿意见的答复结构、修改对照(改前→改后)、大修/小修的不同策略、对分歧意见的礼貌据理回应、保持双盲的匿名口径、以及按编辑部期限组织修改稿，帮助作者在 Acta Automatica Sinica 的多轮退修与重新送审中最大化被录用的机会。
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Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.
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当你在为《自动化学报》(Acta Automatica Sinica, AAS) 稿件准备代码与数据可用性材料、判断本刊是否设有独立制品评审(artifact evaluation)徽章制度时调用。讲清本刊现状(以同行评议为主、无独立徽章制度的现况为待核实)、如何主动提供匿名可复现的代码/数据以增强说服力、控制仿真与实物实验制品的组织，帮助控制/自动化/模式识别方向的中文稿在 Acta Automatica Sinica 外审中用可用制品提升可信度。
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Use when deciding whether a security project fits ACM CCS versus IEEE S&P, USENIX Security, NDSS, PETS, or a crypto/theory venue, identifying the security contribution type, and sharpening the threat model and attacker capability before writing begins.
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