home / team-science / paper

paper: doi:10.36227/techrxiv.23589741.v3

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

This data as json

lom_id doi openalex s2_paper_id arxiv pmid pmcid acl title year venue oa_url ingested_ts source
doi:10.36227/techrxiv.23589741.v3 10.36227/techrxiv.23589741.v3 W4386917649           Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects 2023   https://www.techrxiv.org/articles/preprint/A_Survey_on_Large_Language_Models_Applications_Challenges_Limitations_and_Practical_Usage/23589741/3/files/42375240.pdf 2026-09-02T02:37:09Z openalex

Links from other tables

  • 0 rows from about_lom_id in claim
  • 0 rows from to_lom_id in citation_edge
  • 1 row from from_lom_id in citation_edge
  • 0 rows from paper_id in references_checked
  • 0 rows from lom_id in paper_author
Powered by Datasette · Queries took 0.526ms · Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository