Registro de cambios

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.

Resumen de cambios

Estado actual de actualización y revisión del registro público.

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

Esta página combina todas las diferencias de versiones públicas para Indian Institute of Technology Roorkee (IITR). Las instantáneas individuales de lanzamiento siguen disponibles desde sus URL específicas del lanzamiento.

Aún no se han registrado filas de diferencias de políticas entre versiones para esta universidad. La página sigue rastreando afirmaciones respaldadas por fuentes actuales, atribuciones de fuentes oficiales, estado de revisión, actualidad de las fuentes y JSON públicas para su descubrimiento y citación.

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.

Las afirmaciones extraídas recientemente son adiciones al seguimiento y no necesariamente han sido publicadas por la universidad. Los cambios en las instantáneas de origen muestran cambios de hash para la misma URL de origen y no constituyen por sí mismos cambios en la política.

Categorías de diferencias

Clasificación semántica para esta diferencia de versión.

Texto de la política0Extraído recientemente0Evidencia0Instantáneas de origen0Texto de origen0Fuente añadida0Fuente eliminada0

Diferencias de versión combinadas

Diferencia del seguimiento unificado generada a partir de todas las instantáneas de lanzamiento público para esta universidad.

Indian Institute of Technology Roorkee (IITR) combined release diferencias

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.

Historial de versiones

0 public release diffs

Cambios en las afirmaciones

2 Afirmación registros

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.

Revisión: Revisado por un agenteConfianza78%Evidencia1Idiomasen-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.

Revisión: Revisado por un agenteConfianza91%Evidencia1Idiomasen-IN

Instantáneas de origen

2 source attributions

Generative AI & Large Language Model Engineering using Python

other Tracker checked at 16 may 2026, 13:12

Hash de instantánea
0623204814af81152da67fd89eed44eb98b6bcd8ac0bb2abc870cc4fd5d4b3e5