Paper Citation Record · LEDGER

A Graph Autoencoder Approach to Causal Structure Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1911.07420.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1911.07420 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:51:02.561299Z

measured 1 of 1 external citation measurements

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

54
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 1eb7e0a5-ffee-4af8-bf0e-2ac353ebbbf0 · inbound

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data cites this paper.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A Graph Autoencoder Approach to Causal Structure Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.399979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f686c8a-3c6f-4520-be3d-236f7f7ce4f9 · inbound

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond cites this paper.

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond A Graph Autoencoder Approach to Causal Structure Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T16:47:18.675026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5f1491-2fa2-47d8-83ed-dd3492f28733 · inbound

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning cites this paper.

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning A Graph Autoencoder Approach to Causal Structure Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T10:18:07.459599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be73a5b-c92a-4392-a14b-cea46642065b · inbound

Toward Temporal Causal Representation Learning with Tensor Decomposition cites this paper.

Toward Temporal Causal Representation Learning with Tensor Decomposition A Graph Autoencoder Approach to Causal Structure Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:39.569493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c305e1-6105-4e10-947c-1df552b1be3e · inbound

From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery cites this paper.

From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery A Graph Autoencoder Approach to Causal Structure Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T17:51:02.561299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d497066-86cf-4f1d-bf11-f1ba5e88f67b · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations A Graph Autoencoder Approach to Causal Structure Learning

Reference 232

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:02.689817Z

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 74ebf365-1e4a-4ee3-a2c0-7ad569ed61cb · inbound

SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery cites this paper.

SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery A Graph Autoencoder Approach to Causal Structure Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T13:39:08.210176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.