publisher

Annals of Mathematics (Princeton University & IAS)

Name: Calibrated Authority rating — Annals of Mathematics (Princeton University & IAS)
Item: Annals of Mathematics (Princeton University & IAS) — public generative-AI policy
Rating: 10
Author: Chris Huber Reitz

10/12Calibrated Authority

“Authors must be human, and they must take full responsibility for the content of the submission, including its correctness and the integrity and accuracy of its citations. AI agents cannot be named authors. If an AI tool or LLM contributed an idea, authors should describe that idea and specify its location it in the paper.”— Annals of Mathematics — Submission Guidelines, AI & LLM Policy · source ↗

Traceability & inspectability

Human authorship & accountability

Disclosure & labeling

Synthetic-identity / fabrication prohibition

Human validation in loop

Evidential-trust emphasis

Posture Balanced Boundary fit · contradicts Trust-logic Both-split

Source policy: https://annals.math.princeton.edu/submission-guidelines

Machine record: /institutions/annals-mathematics.json

Cite this

Reitz, C.H. (2026). The Calibrated Authority Index — Annals of Mathematics (Princeton University & IAS). https://calibrated-authority.chrishuberreitz.com/institutions/annals-mathematics Quote: “Authors must be human, and they must take full responsibility for the content of the submission, including its correctness and the integrity and accuracy of its citations. AI agents cannot be named authors. If an AI tool or LLM contributed an idea, authors should describe that idea and specify its location it in the paper.” Source: https://annals.math.princeton.edu/submission-guidelines

Index Methodology Manifest JSON atom CC-BY-4.0 · v2026-07-31 · Chris Huber Reitz