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Paper Citation Record · LEDGER

Missing value imputation with adversarial random forests -- MissARF

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.15681.

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

pith.paper-citation-record.v1
2507.15681 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T22:21:54.822901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

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 76b5236e-dbac-4358-ac88-a978da1aa266 · inbound

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests cites this paper.

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests Missing value imputation with adversarial random forests -- MissARF

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:22:51.631224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T22:21:54.822901Z digest=sha256:c0cde7ae1618850c3c1d8a3dcd08d15497dee95ccef170e7a1b03f69b3fb5a51

Observation 0777e0a4-f7a0-4171-82c4-fc643ed77da0 · inbound

Testing independence in the presence of missing data: high-dimensional case cites this paper.

Testing independence in the presence of missing data: high-dimensional case Missing value imputation with adversarial random forests -- MissARF

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:51:09.948254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T10:55:38.955832Z digest=sha256:b8586924536fb59c3aaa1c6ffe78ebf338cac88141ba3a830a43184ae3cb41e0