Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causal-learn: Causal Discovery in Python
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.16405.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:10:14.268383Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bffd409a-6bef-4c18-aab1-360cbe8b5a8d · inbound
Efficient Causal Graph Discovery Using Large Language Models cites this paper.
Efficient Causal Graph Discovery Using Large Language Models Causal-learn: Causal Discovery in Python
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T04:25:28.656135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c1b25f70-c8be-424d-b1f8-aed1d14c538a · inbound
Causal discovery with endogenous context variables cites this paper.
Causal discovery with endogenous context variables Causal-learn: Causal Discovery in Python
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:10:14.268383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5df008a4-131b-4c6d-b962-4f0ab9c546b2 · inbound
A Causal Argumentation Method for Explainability of Machine Learning Models cites this paper.
A Causal Argumentation Method for Explainability of Machine Learning Models Causal-learn: Causal Discovery in Python
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:01:19.155854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.