Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causal Consistency of Structural Equation Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1707.00819.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:06:08.501378Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:59:21.175568Z
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 20c821b0-f415-44f2-b848-fc3faa0baf01 · inbound
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications cites this paper.
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Causal Consistency of Structural Equation Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:06:08.501378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec8e75ec-2634-4fe9-83f6-fc89ca690888 · inbound
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering cites this paper.
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering Causal Consistency of Structural Equation Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:07:35.141804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a804622-98f0-4937-8c32-acf1a30ef39d · inbound
Partial Effective Information Decomposition for Synergistic Causality cites this paper.
Partial Effective Information Decomposition for Synergistic Causality Causal Consistency of Structural Equation Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:51:24.725821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4db56c5a-6f93-47d4-9c06-efa5876010c8 · inbound
Temporal Causal Models as a Model of Computation cites this paper.
Temporal Causal Models as a Model of Computation Causal Consistency of Structural Equation Models
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:06:26.196288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aa4b1a2a-7357-4753-ad40-bd19631a074b · inbound
A Simple Hierarchical Causality Primer cites this paper.
A Simple Hierarchical Causality Primer Causal Consistency of Structural Equation Models
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T01:26:25.063985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 16a1a51c-b077-42ae-963d-24331791fbd2 · inbound
Unsupervised Causal Abstractions Discovery cites this paper.
Unsupervised Causal Abstractions Discovery Causal Consistency of Structural Equation Models
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:59:21.178757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5724350-5618-4d05-81e0-083f1a2098b5 · inbound
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models cites this paper.
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models Causal Consistency of Structural Equation Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:37:33.101854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.