现有材料核查报告The current material-check report

一份经人工复核的报告，含交互 HTML 与中英双语 PDF，带水印和编号：A human-reviewed report with interactive HTML and Chinese and English PDFs, watermarked and numbered:

1. 申请材料关系图：连接课程、活动、荣誉与材料片段；在交互报告中点开节点查看详情，按准备优先级找到需要先处理的部分Application evidence map — explore coursework, activities, honors and material fragments; open nodes in the interactive report and identify what needs attention first
2. 学生基本情况，以及课程、活动和成果在材料中的联系Student profile and the connections between coursework, activities and outputs
3. 一页总览：一共几条、分别有多要紧、几个奖已经核实了At a glance: total findings, high/medium/low distribution, share of honors confirmed
4. 每个奖项逐条写清：在主办方公开名单里找到了，还是当前名单里没有对应记录Honor table — found on the organizer’s public list, or no matching record on the lists we can search
5. 主要项目：每条附原文摘录，给一个 0–100 的准备优先级分，再列出下一步、获取对象与资料形式；记录缺失时说明如何核对现有事实Items to work through — each with the source passage, a 0–100 preparation priority, and next steps, people to ask and record formats; gaps prompt a check of the available facts
6. 追问演练：针对材料的细节题，让孩子先用自己的话讲一遍——做了什么、怎么做的、当时留下了哪些记录Follow-up practice — detail questions grounded in the file for your child to answer in their own words: what they did, how, and what records remain
7. 最后一页总结，外加一张可以打印出来逐条打勾的证据清单Key issues summary, plus a printable evidence checklist
8. 这份报告怎么用，三步说清How to use the report: a three-step plan

这三份核查样例的学生、学校和项目均为虚构，用于展示现有报告。可以打开完整 PDF 和交互关系图。新的修订流程另见合成工作台。The students, schools and projects in these material-check samples are fictional. Open the full PDFs and interactive graphs to explore the existing reports. The synthetic workbench demonstrates the new revision process.

常见奖项核验流程演示（虚构数据）Common-award review walkthrough (fictional data)

关系图连接课程、活动、荣誉与材料片段。点开节点看来源文档编号和抽取摘要，再结合报告发现中的原文摘录核对。它目前不提供一键跳到 PDF 原文页码的功能。The graph connects coursework, activities, honors and material fragments. Open a node for source document IDs and extracted summaries, then consult the excerpts in report findings. It does not currently link directly to original PDF page numbers.

怎么做出来的How it is produced

系统先把材料整体过一遍：时间能不能对上、课程和科研之间有没有跳步、每段经历有没有联系人／记录／成果、奖项在公开名单里能不能找到、文件元数据有没有前后不一致、字段和字数符不符合 Common App 当期规则。然后由人看回原文：删掉依据不足的提示，把太重的措辞改成具体问题，再出报告。An automated pass goes over the whole file first: whether the dates line up, whether the coursework and the research skip a step, whether each experience has a contact, a record or an output behind it, whether the awards appear on public lists, whether file metadata is internally inconsistent, and whether every field meets the current Common App rules. Then a person reads each item against the source: anything thinly supported is deleted, anything worded too heavily becomes a specific question.