public-release-20260715-005
Comparado con public-release-20260714-002.
Sichuan University public-release-20260715-005 diferencias
Comparando public-release-20260714-002 con public-release-20260715-005.
Registro de cambios
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Estado actual de actualización y revisión del registro público.
Sichuan University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: 19 jul 2026. Latest tracker diff: 0 comparable policy-text changes, 2 newly extracted claims, 0 source snapshot changes.
Esta página combina todas las diferencias de versiones públicas para Sichuan University. Las instantáneas individuales de lanzamiento siguen disponibles desde sus URL específicas del lanzamiento.
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.
Clasificación semántica para esta diferencia de versión.
Diferencia del seguimiento unificado generada a partir de todas las instantáneas de lanzamiento público para esta universidad.
Comparando public-release-20260714-002 con public-release-20260715-005.
1 diferencia de lanzamiento público
Comparado con public-release-20260714-002.
Comparando public-release-20260714-002 con public-release-20260715-005.
5 Afirmación registros
理享小管家 is listed for Sichuan University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
大川智问 is listed for Sichuan University in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.
For 2026 undergraduate theses, Sichuan University's Academic Affairs Office notice says colleges may choose AIGC detection tools, should detect 100% of theses, and should refer to AI-generated content proportions of no more than 20% for humanities/social-science theses and no more than 15% for science, engineering, and medical theses.
Sichuan University's Academic Affairs Office notice says 2026 undergraduate thesis AIGC detection work runs from April 9 to mid-May and that colleges set detailed arrangements for graduates and supervisors.
For the 2026 undergraduate thesis detection process, Sichuan University's Academic Affairs Office notice says violations arising during AI tool use are handled according to 四川大学本科教育教学人工智能工具应用规范(试行)(川大教〔2025〕28号).
3 source attributions
official_guidance Tracker checked at 16 jul 2026, 5:14
official_guidance Tracker checked at 16 may 2026, 12:50
official_guidance Tracker checked at 16 jul 2026, 5:13