NeurIPS desk-rejected 178 position papers on a proprietary AI detector's score, and the detector flags the track chairs' own papers at 24-69%
StrictCite (via r/MachineLearning, 65 upvotes, 25 comments)·high signal
A field note reconstructed from conference statements and Pangram's technical docs shows 178 of 969 Position Paper Track submissions (18.4%) were desk-rejected with no human review and no appeal: 77 scored above 0.9, 79 scored above 0.8 and were solo-authored, and 22 scored above 0.5 while the authors had ticked the box denying AI use. Pangram 3.3.2's default window settings flagged 42.7% of all submissions in the 90-100% AI band; shrinking to ~100-word windows brought that to 12.7%. Independent researchers ran the three track chairs' own recent papers through the same detector and got 24% to 69%.