Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13054.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:58.159121Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation abb523e4-1267-48cd-9d56-8f18ce5e3dcd · inbound
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0b6e112-fac9-4859-8959-7d6b2c1f3d75 · inbound
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Reference 164
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0f8f0907-917f-4c53-a044-fc90e1c95901 · inbound
DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 532df382-336d-4ca1-bebd-ca5ab090e728 · inbound
AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.