变更日志

Indian Institute of Technology Roorkee (IITR)

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

变更摘要

当前公共记录的新鲜度与审核状态。

Indian Institute of Technology Roorkee (IITR) currently has 2 source-backed claim records and 2 official source attributions. Latest tracked changed date: 2026年5月16日. No tracker diff rows are recorded in the latest public release.

此页面汇总了所有针对的公开版本差异记录 Indian Institute of Technology Roorkee (IITR)。各个版本的发布快照仍可通过其特定发布的 URL 访问。

目前尚未记录该大学的版本间策略差异行。页面仍会追踪当前基于来源的主张、官方来源归属、审核状态、来源时效性以及用于发现和引用的公开JSON。

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。

差异类别

此版本差异的语义分类。

政策文本0新提取的0证据0源快照0源文本0已添加来源0已移除来源0

组合版本差异

由该大学的所有公开发布快照生成的统一追踪器差异。

Indian Institute of Technology Roorkee (IITR) combined release 差异

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+4-0
11 # Indian Institute of Technology Roorkee (IITR) AI policy record
2+academic_integrity: IIT Roorkee's Academic Ethics Policy states that plagiarism is unacceptable, that the institute observes zero tolerance against plagiarism, and that students must check reports, papers, and theses for plagiarism using dedicated software before submission.
3+Evidence (en-IN, ca70ea5a065d): Plagiarism is often considered as owning of others ideas, conclusions, code, data, design, figure, etc., without their permission or due acknowledgement. Self-plagiarism occurs when the same word or a significant part of the work is reproduced again. The extent and type of plagiarism can be variable and sometimes it can also be unintentional, however, it is unacceptable. IIT Roorkee observes "zero tolerance" against those indulging in plagiarism.
4+source_status: Official IITR AI-related discovery found public Generative AI and large-language-model course/training content, but this source is course content rather than an institutional AI-use policy.
5+Evidence (en-IN, 0623204814af): Generative AI & Large Language Model Engineering using Python. In today's AI-driven world, Generative AI and Large Language Models (LLMs) are at the forefront of innovation, powering applications ranging from chatbots to recommendation engines, speech recognition, and intelligent automation. Python is the most widely used programming language in the world of Gen-AI and Data Science owing to its simplicity, versatility, and a vast ecosystem of powerful libraries.

版本历史

0 public release diffs

声明变更

2 声明 条记录

source_status

Official IITR AI-related discovery found public Generative AI and large-language-model course/training content, but this source is course content rather than an institutional AI-use policy.

审核: 智能体已审核置信度78%证据1语言en-IN

academic_integrity

IIT Roorkee's Academic Ethics Policy states that plagiarism is unacceptable, that the institute observes zero tolerance against plagiarism, and that students must check reports, papers, and theses for plagiarism using dedicated software before submission.

审核: 智能体已审核置信度91%证据1语言en-IN

源快照

2 source attributions

Generative AI & Large Language Model Engineering using Python

other Tracker checked at 2026年5月16日 13:12

快照哈希值
0623204814af81152da67fd89eed44eb98b6bcd8ac0bb2abc870cc4fd5d4b3e5