New Rules for AI Text on arXiv

May 15, 2026, 20:38
GlobalScience

Introduction

The arXiv website has new rules. Authors must check their AI text.

Main Body

Some people use AI to write papers. Sometimes AI makes mistakes. It writes fake facts or wrong names. Thomas Dietterich says this is a problem. Authors must check all AI text. If the text has big mistakes, the author is in trouble. The author cannot send new papers for one year. After one year, the author must show their work to other experts first. The arXiv staff will check the mistakes. Authors can ask for help if they disagree.

Conclusion

arXiv wants high quality work. They will punish people who use AI without checking it.

Learning

The 'Must' Rule

In this text, we see the word must many times. We use it when there is a strict rule. You have no choice.

Examples from the text:

  • Authors →\rightarrow must check AI text.
  • Author →\rightarrow must show work to experts.

How to use it: [Person] + must + [Action]

  • I must study.
  • You must stop.

Watch out for 'Fake' and 'Wrong'

These words describe things that are not true. They are very useful for A2 learners to describe mistakes:

  1. Fake →\rightarrow Not real (Example: Fake facts).
  2. Wrong →\rightarrow Not correct (Example: Wrong names).

Simple Tip: Use wrong for a mistake in a test, and fake for something designed to trick people.

Vocabulary Learning

new (adj.)
not old; recently made or created.
Example:The new rules are on the website.
rules (n.)
a set of instructions or laws to follow.
Example:The rules say you must check your AI text.
website (n.)
a place on the internet where information is stored.
Example:The arXiv website has new rules.
must (v.)
an obligation to do something.
Example:Authors must check all AI text.
check (v.)
to look at something carefully to find mistakes.
Example:You should check your work before submitting.
write (v.)
to produce words on paper or screen.
Example:Some people use AI to write papers.
papers (n.)
written documents or articles.
Example:The author cannot send new papers for one year.
mistakes (n.)
things that are wrong or incorrect.
Example:The AI makes many mistakes.
fake (adj.)
not real; made up.
Example:It writes fake facts.
wrong (adj.)
not correct or true.
Example:The AI writes wrong names.
problem (n.)
a difficult situation that needs a solution.
Example:This is a problem for authors.
big (adj.)
large in size or importance.
Example:If the text has big mistakes...
trouble (n.)
difficulty or problems.
Example:The author is in trouble.
send (v.)
to give something to someone.
Example:The author cannot send new papers.
year (n.)
a period of twelve months.
Example:The author cannot send new papers for one year.
show (v.)
to display or present.
Example:After one year, the author must show their work.
work (n.)
a task or job.
Example:The author must show their work.
experts (n.)
people who know a lot about something.
Example:The author must show their work to other experts.
ask (v.)
to request information or help.
Example:Authors can ask for help if they disagree.
help (n.)
assistance or support.
Example:They can ask for help.
disagree (v.)
to have a different opinion.
Example:Authors can ask for help if they disagree.
high (adj.)
of great level or quality.
Example:arXiv wants high quality work.
quality (n.)
the standard of something.
Example:They want high quality work.
punish (v.)
to give a penalty.
Example:They will punish people who use AI.
without (prep.)
not having or lacking.
Example:They will punish people who use AI without checking it.