Neural Networks as Cognitive Models of the Processing of Syntactic Constraints.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

4 citing papers in PubMed.

1. To model human linguistic prediction, make LLMs less superhuman.Trends in cognitive sciences · 2026
   Review
2. Agreement Errors Disrupt Eye Movements in Reading Only When They Are Detected.Open mind : discoveries in cognitive science · 2026
   Article
3. Language in vivo vs. in silico: Size matters but Larger Language Models still do not comprehend language on a par with humans due to impenetrable semantic reference.PloS one · 2025
   Article
4. Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias.Proceedings of the National Academy of Sciences of the United States of America · 2023
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as