Paper Citation Record · LEDGER

gCastle: A Python Toolbox for Causal Discovery

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2111.15155.

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

pith.paper-citation-record.v1
2111.15155 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:42:08.198517Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:26:26.630431Z

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 3674f4a5-4bb9-4c3e-a4a3-49715c663f27 · 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 gCastle: A Python Toolbox for Causal Discovery

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.364431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4f0413-e37d-44da-b21c-ff46812ffecb · inbound

Causal Discovery via Bayesian Optimization cites this paper.

Causal Discovery via Bayesian Optimization gCastle: A Python Toolbox for Causal Discovery

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T14:52:03.512731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06054d98-0bf6-453d-bcd8-c0e3e542cc7e · inbound

Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records cites this paper.

Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records gCastle: A Python Toolbox for Causal Discovery

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:31.299829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ecf1a1c-a633-4303-a4e6-2a4e2a53ec2b · inbound

Causal Discovery via Quantile Partial Effect cites this paper.

Causal Discovery via Quantile Partial Effect gCastle: A Python Toolbox for Causal Discovery

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:52:42.265671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 963f15b8-6e8f-4865-958a-3d6e4e91625b · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics gCastle: A Python Toolbox for Causal Discovery

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:28:21.391837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1cb4dec4-b0d4-49b9-8382-9f54b2151e3c · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics gCastle: A Python Toolbox for Causal Discovery

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.938256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f5117a8-60c9-4360-8bb8-ee453b471161 · inbound

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery cites this paper.

CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery gCastle: A Python Toolbox for Causal Discovery

Reference 38

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T02:26:26.631954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f81e762-a4e9-4090-b6fb-e2e317f2d501 · inbound

A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI cites this paper.

A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI gCastle: A Python Toolbox for Causal Discovery

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.752550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59f029ee-8afe-4825-94f8-bd8ced3fb90b · inbound

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery cites this paper.

AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery gCastle: A Python Toolbox for Causal Discovery

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T01:07:50.436962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0deab7e2-82b1-4ee5-a2ce-0d0c4b0bf819 · inbound

Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey cites this paper.

Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey gCastle: A Python Toolbox for Causal Discovery

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:09:33.854557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0541e6b-9657-4489-8fe0-6cedcddb7c08 · inbound

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure cites this paper.

A Unifying Perspective on Causal World Models: From Observations to Representations to Structure gCastle: A Python Toolbox for Causal Discovery

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T10:42:08.198517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.