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Paper Citation Record · LEDGER

OpenML-Python: an extensible Python API for OpenML

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.02490.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1911.02490 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:21:35.444352Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T03:42:27.764067Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d35c5b88-d0a4-4250-8099-189837311c49 · inbound

A Comprehensive Study of Shapley Value in Data Analytics cites this paper.

A Comprehensive Study of Shapley Value in Data Analytics OpenML-Python: an extensible Python API for OpenML

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T04:21:35.444352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:21:35.444352Z digest=sha256:17384167a363f2c1b8b4e8d53c5246e4f417dabb5d9b7e4fcd7844b6a52ee477

Observation 01ba2e99-88c9-404d-8bd9-386e328d15a5 · inbound

Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks cites this paper.

Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks OpenML-Python: an extensible Python API for OpenML

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:42:27.766865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T03:39:45.167149Z digest=sha256:129f90cf285d0113702b96581efd681475e515883458f0776b7e932c4a576ec8

Observation 0cc4f27e-329c-41fb-b57f-c7c16455299f · inbound

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains cites this paper.

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains OpenML-Python: an extensible Python API for OpenML

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:25.733245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:25.733245Z digest=sha256:9ac1b5bf7d7640d573b0c4c047b7b9539d28a4980d80db1d15d52265297dfdfc