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prai-artifact-evaluation

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在为《模式识别与人工智能》(Pattern Recognition and Artificial Intelligence, PR&AI) 处理代码与数据可用性、撰写可用性声明时调用。本刊作为中文期刊是否设立独立的制品评审徽章(artifact badge)制度目前待核实——本技能讲清现状与稳妥做法：如何写诚实的代码/数据可用性声明、如何组织可供外审核验的复现仓库、如何在不可公开时说明原因与替代验证途径、如何与审稿匿名要求(是否双盲待核实)协调。用于让模式识别/机器学习论文的制品支撑而非拖累评审，避免可用性声明与实际提供的材料不一致。

Pattern-Recognition-and-Artificial-Intelligence-Skills/skills/prai-artifact-evaluation/SKILL.md

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# 《模式识别与人工智能》代码与数据可用性

本技能帮助为《模式识别与人工智能》(Pattern Recognition and Artificial Intelligence, PR&AI) 处理
制品(代码/数据/模型)可用性。需要说明现状：本刊作为中文期刊，是否设立类似部分英文会议的**独立制品
评审徽章(artifact badge)** 制度 **待核实**；不要臆断有 ACM 式徽章。本技能给的是稳妥、诚实的可用性
做法。事实核验日期 2026-07-09，见 `resources/official-source-map.md`。

## 一、现状说明（不臆断徽章）

- 本刊是否有正式的制品评审流程与徽章 **待核实**，以官网当期须知为准。
- 无论是否有徽章，**诚实的可用性声明 + 可核验的复现材料**都能增强外审信任，是稳妥做法。
- 不要在论文中宣称获得某种"徽章"，除非本刊确有该制度并授予（避免虚假陈述）。

## 二、可用性声明怎么写
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