Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Position: The Causal Revolution Needs Scientific Pragmatism
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.02275.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:30:14.383501Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T06:30:41.550866Z
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 e5367078-d83f-4053-979b-9028865d17ba · inbound
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity cites this paper.
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity Position: The Causal Revolution Needs Scientific Pragmatism
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:30:14.383501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5028207e-9f0a-4e2d-bfbd-6326ade2d945 · inbound
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios cites this paper.
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios Position: The Causal Revolution Needs Scientific Pragmatism
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:30:41.553057Z
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 e62e4406-b21e-491c-9018-abce702bbf25 · inbound
Training Large Language Models for Self-Explanation Faithfulness cites this paper.
Training Large Language Models for Self-Explanation Faithfulness Position: The Causal Revolution Needs Scientific Pragmatism
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:36:20.941201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.