Publication·LjYYgtFUTy·Record

Publication: Unsolved Problems in ML Safety by Dan Hendrycks, Nicholas Carlini, John Schulman, Jacob Steinhardt (2021-09)

Verdictconfirmed99%

1 check · 4/3/2026

All key fields in the record are directly confirmed by the source text. The title, all four authors, their affiliations, the publication date (2021-09 matches the arXiv identifier 2109.13916), the URL, and the publication type (paper/preprint) are all accurate. The source is the actual paper itself, providing authoritative confirmation of all metadata.

Our claim

entire record

Title: Unsolved Problems in ML Safety
Authors: Dan Hendrycks, Nicholas Carlini, John Schulman, Jacob Steinhardt
Url: https://arxiv.org/abs/2109.13916
Published Date: September 2021
Publication Type: paper
Is Flagship: Yes
Source: https://arxiv.org/abs/2109.13916
Notes: Defines 4 core challenges: robustness, monitoring, alignment, systemic safety

Source evidence

1 src · 1 check

arxiv.org/abs/2109.13916 resource

confirmed99%Haiku 4.5 · 4/3/2026

NoteAll key fields in the record are directly confirmed by the source text. The title, all four authors, their affiliations, the publication date (2021-09 matches the arXiv identifier 2109.13916), the URL, and the publication type (paper/preprint) are all accurate. The source is the actual paper itself, providing authoritative confirmation of all metadata.

Case № LjYYgtFUTyFiled 4/3/2026Confidence 99%