AlbertXXuu · AlbertXXuu · Sep 29, 2026 · Sep 29, 2026
diff --git a/README.md b/README.md
@@ -12,7 +12,7 @@
 ![Python](https://img.shields.io/badge/Python-3.11%20%7C%203.12-3776AB)
 [![License](https://img.shields.io/badge/License-Apache--2.0-blue.svg)](LICENSE)
 
-[简体中文](README.zh-CN.md)
+[English](README.md) · [简体中文](README.zh-CN.md)
 
 > Version status: current software is the `v1.1.2` maintenance patch. The research and evidence
 > baseline remains the immutable `v1.0.0` public release. This patch aligns the packaged Studio
@@ -63,8 +63,9 @@ cross-family token throughput uses different token definitions.
 
 ![Formal 102-task Qwen3-VL-2B and SmolVLM2-500M comparison](docs/reports/v1.0.0-candidate/overview.svg)
 
-Read the [byte-rebuildable report](docs/reports/v1.0.0-candidate/report.md) or
-inspect the preserved
+Read the benchmark report in [English](docs/reports/v1.0.0-candidate/report.md) or
+[简体中文](docs/reports/v1.0.0-candidate.zh-CN.md). The English original remains byte-rebuildable.
+Inspect the preserved
 [Qwen JSONL](docs/reports/results/2026-08-10-qwen3-vl-v1.0.0-formal.jsonl),
 [SmolVLM2 JSONL](docs/reports/results/2026-08-10-smolvlm2-v1.0.0-formal.jsonl),
 and their SHA-bound manifests. Historical ten-task and document-only reports
@@ -311,7 +312,7 @@ equivalent because tokenizers differ.
 | Run records, manifests, and resume | [Artifact contract](docs/run-records-and-manifests.md) |
 | Two-model formal result | [Qwen3-VL vs SmolVLM2](docs/reports/2026-07-31-qwen3-vl-vs-smolvlm2.md) |
 | 32-task document comparison | [Qwen3-VL vs SmolVLM2 on documents](docs/reports/2026-08-02-document-model-comparison.md) |
-| 102-task v1.0.0 benchmark comparison | [Byte-rebuildable final-corpus bundle](docs/reports/v1.0.0-candidate/report.md) |
+| 102-task v1.0.0 benchmark comparison | [English (byte-rebuildable)](docs/reports/v1.0.0-candidate/report.md) · [简体中文](docs/reports/v1.0.0-candidate.zh-CN.md) |
 | Performance methodology | [Qwen formal performance baseline](docs/reports/2026-07-31-qwen3-vl-formal-performance.md) |
 | Quality and public-release gates | [Quality standard](docs/06-quality-and-open-source.md) |
 | Live public-release status | [Evidence matrix and strict readiness check](docs/public-release-readiness.md) |

diff --git a/README.zh-CN.md b/README.zh-CN.md
@@ -12,7 +12,7 @@
 ![Python](https://img.shields.io/badge/Python-3.11%20%7C%203.12-3776AB)
 [![License](https://img.shields.io/badge/License-Apache--2.0-blue.svg)](LICENSE)
 
-[English](README.md)
+[English](README.md) · [简体中文](README.zh-CN.md)
 
 > 版本状态：当前软件是 `v1.1.2` 维护修补版。研究与证据基线仍是不可变的 `v1.0.0`
 > 公开正式版。本次修补让打包后的 Studio Header 回到跨产品统一几何，并澄清测量与
@@ -56,7 +56,8 @@ OCR、事件顺序等部分分类领先。结果适用于固定模型 revision
 
 ![102 条任务正式对比](docs/reports/v1.0.0-candidate/overview.svg)
 
-完整证据见[可逐字节重建报告](docs/reports/v1.0.0-candidate/report.md)，原始
+完整报告：[English（可逐字节重建原件）](docs/reports/v1.0.0-candidate/report.md) ·
+[简体中文](docs/reports/v1.0.0-candidate.zh-CN.md)。原始
 [Qwen JSONL](docs/reports/results/2026-08-10-qwen3-vl-v1.0.0-formal.jsonl)、
 [SmolVLM2 JSONL](docs/reports/results/2026-08-10-smolvlm2-v1.0.0-formal.jsonl)
 及其 SHA 绑定 manifest 均已保存。早期 10 条任务和文档专项报告仍保留在下方
@@ -125,7 +126,7 @@ flowchart LR
 面向发布的重建流程见[确定性报告包说明](docs/report-bundles.md)。它会先验证
 “恰好一次 warm-up + 三次完整重复”、来源 manifest、模型/数据集身份和媒体哈希，
 再生成完整对比包。仓库中的
-[v1.0.0 正式报告](docs/reports/v1.0.0-candidate/report.md)已经覆盖完整的
+[v1.0.0 正式报告（简体中文）](docs/reports/v1.0.0-candidate.zh-CN.md)已经覆盖完整的
 102 条任务双模型正式网格；旧的
 [重建基线](docs/reports/rebuilt-baseline/report.md)仅作为历史审计证据保留。
 
@@ -270,7 +271,7 @@ Git 状态、输出哈希与大小、记录数和严格尝试前缀。只有明
 | 运行记录、manifest 和恢复 | [产物契约](docs/run-records-and-manifests.md) |
 | 双模型正式结果 | [Qwen3-VL vs SmolVLM2](docs/reports/2026-07-31-qwen3-vl-vs-smolvlm2.md) |
 | 32 条文档任务对比 | [Qwen3-VL 与 SmolVLM2 文档评测](docs/reports/2026-08-02-document-model-comparison.md) |
-| 102 条 v1.0.0 正式对比 | [可逐字节重建的完整语料报告](docs/reports/v1.0.0-candidate/report.md) |
+| 102 条 v1.0.0 正式对比 | [English（可逐字节重建）](docs/reports/v1.0.0-candidate/report.md) · [简体中文](docs/reports/v1.0.0-candidate.zh-CN.md) |
 | 性能方法 | [Qwen 正式性能基线](docs/reports/2026-07-31-qwen3-vl-formal-performance.md) |
 | 质量与公开门槛 | [质量标准](docs/06-quality-and-open-source.md) |
 | 实时公开准备状态 | [证据矩阵与严格验收命令](docs/public-release-readiness.md) |

diff --git a/docs/reports/v1.0.0-candidate.zh-CN.md b/docs/reports/v1.0.0-candidate.zh-CN.md
@@ -0,0 +1,96 @@
+# 重建的正式多模态基准报告
+
+[English](v1.0.0-candidate/report.md) · 简体中文
+
+> 本文完整翻译冻结的 [`docs/reports/v1.0.0-candidate/report.md`](v1.0.0-candidate/report.md)，来源版本为 `5a31514dda9a43235e6073ed2ba6b0495c90657d`。译文置于证据包之外；可逐字节重建的英文原件、原始结果与清单为核验依据。模型、数据集和类别标识保持原样，便于对照机器可读结果。
+
+本报告根据保存的结果 JSONL 及其配套清单，以确定性方式生成，没有重新运行模型。汇总前，每份来源均通过哈希、数据集与媒体、干净提交状态、模型身份和正式协议验证。
+
+## 范围
+
+- 2 个模型后端
+- 1 份由 SHA 绑定的评测输入
+- 4 个保留的数据集版本
+- 102 个不同的数据集任务
+- 每份来源均先完成且仅完成 1 次成功预热，再进行 3 轮完整的计量重复
+- 批量大小为 1，采用确定性解码；计量期间不重试、不重新加载模型
+
+![正式基准概览](v1.0.0-candidate/overview.svg)
+
+## 运行汇总
+
+| 数据集 | 后端 | 任务数 | 成功次数 | 平均得分 | 首 token 延迟（TTFT）中位数 | 吞吐量中位数 | GPU 显存峰值 |
+|---|---|---:|---:|---:|---:|---:|---:|
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | 102 | 306/306 | 0.784 | 120.5 ms | 12.7 tok/s | 4180.5 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | 102 | 306/306 | 0.690 | 260.0 ms | 10.1 tok/s | 1265.3 MiB |
+
+完整的机器可读数值见 [`run-summary.csv`](v1.0.0-candidate/run-summary.csv)。吞吐量使用各模型原生 tokenizer 计算，最适合比较同一固定版本模型的重复运行。
+
+## 类别汇总
+
+| 数据集 | 后端 | 类别标识 | 任务数 | 成功次数 | 平均得分 | TTFT 中位数 | GPU 显存峰值 |
+|---|---|---|---:|---:|---:|---:|---:|
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `attribute-recognition` | 24 | 72/72 | 0.958 | 109.2 ms | 4089.5 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `chart-qa` | 8 | 24/24 | 0.625 | 164.4 ms | 4179.4 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `counting` | 6 | 18/18 | 1.000 | 105.5 ms | 4089.5 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `document-key-value` | 10 | 30/30 | 0.900 | 165.9 ms | 4180.5 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `document-ocr` | 6 | 18/18 | 0.833 | 172.7 ms | 4179.1 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `event-order` | 4 | 12/12 | 0.000 | 100.5 ms | 4096.0 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `image-description` | 2 | 6/6 | 1.000 | 110.1 ms | 4092.1 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `motion-direction` | 4 | 12/12 | 0.500 | 95.6 ms | 4096.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `occlusion-reasoning` | 3 | 9/9 | 0.667 | 108.6 ms | 4089.8 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `spatial-reasoning` | 10 | 30/30 | 0.800 | 109.5 ms | 4093.4 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `state-change` | 3 | 9/9 | 1.000 | 108.9 ms | 4097.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `table-qa` | 8 | 24/24 | 0.500 | 167.5 ms | 4179.9 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `temporal-counting` | 5 | 15/15 | 0.800 | 99.6 ms | 4097.5 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `temporal-position` | 8 | 24/24 | 0.750 | 110.0 ms | 4097.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `visual-comparison` | 1 | 3/3 | 1.000 | 117.8 ms | 4090.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `attribute-recognition` | 24 | 72/72 | 1.000 | 260.7 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `chart-qa` | 8 | 24/24 | 0.375 | 264.2 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `counting` | 6 | 18/18 | 1.000 | 261.0 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `document-key-value` | 10 | 30/30 | 0.900 | 262.1 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `document-ocr` | 6 | 18/18 | 1.000 | 264.6 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `event-order` | 4 | 12/12 | 0.750 | 174.5 ms | 1177.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `image-description` | 2 | 6/6 | 0.500 | 262.3 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `motion-direction` | 4 | 12/12 | 0.250 | 180.5 ms | 1177.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `occlusion-reasoning` | 3 | 9/9 | 0.333 | 261.3 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `spatial-reasoning` | 10 | 30/30 | 0.533 | 264.0 ms | 1265.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `state-change` | 3 | 9/9 | 0.667 | 167.8 ms | 1177.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `table-qa` | 8 | 24/24 | 0.250 | 262.1 ms | 1265.2 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `temporal-counting` | 5 | 15/15 | 0.400 | 180.9 ms | 1177.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `temporal-position` | 8 | 24/24 | 0.500 | 173.1 ms | 1177.3 MiB |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `visual-comparison` | 1 | 3/3 | 1.000 | 267.8 ms | 1265.2 MiB |
+
+## 失败记录
+
+未记录到失败的计量尝试。仍按固定结构输出 [`failures.csv`](v1.0.0-candidate/failures.csv)，以便下游自动化按统一方式处理。
+
+## 保存的证据
+
+| 数据集 | 后端 | 结果文件 | 结果 SHA-256 | 清单 | 清单 SHA-256 |
+|---|---|---|---|---|---|
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `qwen3-vl` | `docs/reports/results/2026-08-10-qwen3-vl-v1.0.0-formal.jsonl` | `a6574423770718fe20f7bd308d09fb8246ed9d0f71a70bd5b15138ff9c90908c` | `docs/reports/results/2026-08-10-qwen3-vl-v1.0.0-formal.manifest.json` | `7b73efc0dececc8d03f998040844ffd122284dd24745907035eb33c8c825cc78` |
+| synthetic-docs-v1, synthetic-robustness-v1, synthetic-v1.1, synthetic-video-v1 | `smolvlm2` | `docs/reports/results/2026-08-10-smolvlm2-v1.0.0-formal.jsonl` | `b195dc43e7d0f719c02f819c4ffab8017dd905b74cd7981d4e39bf8527fdb027` | `docs/reports/results/2026-08-10-smolvlm2-v1.0.0-formal.manifest.json` | `cc2c3b4e66b2814475d39c292ce3aec874f0940dac0f5df978777bf6aae9bca9` |
+
+## 重建
+
+在仓库根目录执行：
+
+```powershell
+python scripts/build_benchmark_report.py `
+  --input docs/reports/results/2026-08-10-qwen3-vl-v1.0.0-formal.jsonl `
+  --input docs/reports/results/2026-08-10-smolvlm2-v1.0.0-formal.jsonl `
+  --output-dir <output-directory>
+```
+
+然后验证全部来源、输出哈希、生成器哈希，以及包含自身哈希的构建清单：
+
+```powershell
+python scripts/build_benchmark_report.py `
+  --verify `
+  --output-dir <output-directory>
+```
+
+## 解释边界
+
+这些结果仅适用于来源清单记录的固定模型、任务文件、媒体哈希、软件环境和硬件，不能视为普适模型排名，也不代表用户偏好或生产环境质量。