Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.01266.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:11:18.824748Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c7f3d1a8-693b-406a-a6a6-6b6863e898f5 · inbound
Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation cites this paper.
Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:11:18.824748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 393af0e5-e614-4c7a-8125-e77fc75ff3dd · inbound
Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence cites this paper.
Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T06:49:09.329367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.