Paper Citation Record · LEDGER

Causal Discovery with Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1906.04477.

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

pith.paper-citation-record.v1
1906.04477 v4

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 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:33.386237Z

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

89
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 739c137f-b82e-483d-a043-a79c6b0a19b1 · inbound

Score-matching-based Structure Learning for Temporal Data on Networks cites this paper.

Score-matching-based Structure Learning for Temporal Data on Networks Causal Discovery with Reinforcement Learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:42:43.304227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f84442e-dd59-409f-8a8f-bd9b09378f02 · inbound

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Causal Discovery with Reinforcement Learning

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:33.386237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e878bdff-3302-42b9-bb16-0873f9f35c2e · inbound

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations cites this paper.

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations Causal Discovery with Reinforcement Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:02.577541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c476555-0acc-441a-8664-7433c525dded · inbound

CauScale: Neural Causal Discovery at Scale cites this paper.

CauScale: Neural Causal Discovery at Scale Causal Discovery with Reinforcement Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:28.168273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 019359ce-f7ca-455d-a908-0dbabc113048 · 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 Causal Discovery with Reinforcement Learning

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:03.285879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc914585-7489-4a38-bf45-5ddf7d1c1cf0 · inbound

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety cites this paper.

Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety Causal Discovery with Reinforcement Learning

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:38:21.512024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d99f1f7-3543-4b8b-954c-71d342cd0675 · inbound

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis cites this paper.

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis Causal Discovery with Reinforcement Learning

Reference 177

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T15:43:26.360620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ef48179-00ba-48f9-bb06-4c1f2913b28e · inbound

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning cites this paper.

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning Causal Discovery with Reinforcement Learning

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T03:28:01.254163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfcb98ee-6124-4b57-9198-2a655b2ca010 · inbound

Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection cites this paper.

Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection Causal Discovery with Reinforcement Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-28T10:01:52.549783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2da2513b-a52a-4bdc-9861-4b5e1e83fe97 · inbound

polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs cites this paper.

polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs Causal Discovery with Reinforcement Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.749487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f1c8a32-76fa-4acd-bfe7-28bfcbcdf62c · inbound

polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs cites this paper.

polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs Causal Discovery with Reinforcement Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:51.003347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.