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paper: doi:10.1145/3501714.3501755

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 primary_field primary_field_id oa_url ingested_ts source
doi:10.1145/3501714.3501755 10.1145/3501714.3501755 W2990408532           Causality for Machine Learning 2022 ACM eBooks Computer Science https://openalex.org/fields/17 https://doi.org/10.48550/arxiv.1911.10500 2026-09-02T02:37:09Z openalex

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  • 0 rows from about_lom_id in claim
  • 1 row from to_lom_id in citation_edge
  • 0 rows from from_lom_id in citation_edge
  • 0 rows from paper_id in references_checked
  • 1 row from lom_id in paper_author
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