Paper Citation Record · LEDGER

Gradient-Based Neural DAG Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1906.02226.

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

pith.paper-citation-record.v1
1906.02226 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:28:51.973195Z

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

15
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 7f653c3e-18a6-4cfe-81fa-1e373e471dba · inbound

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

Score-matching-based Structure Learning for Temporal Data on Networks Gradient-Based Neural DAG Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:42:43.278965Z

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 84aecef6-4d64-49ef-978d-32210359ced3 · inbound

A Review of Causal Decision Making cites this paper.

A Review of Causal Decision Making Gradient-Based Neural DAG Learning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T02:47:26.255180Z

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 4e35c754-4365-464b-9dab-b77cecca238c · inbound

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations cites this paper.

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations Gradient-Based Neural DAG Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:51.973195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9666180-12dd-4879-a484-7083da822c3c · inbound

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

Toward Temporal Causal Representation Learning with Tensor Decomposition Gradient-Based Neural DAG Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:15:39.573754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1071c5dd-f33a-4a06-96ab-3bd7bcb1a868 · inbound

CauScale: Neural Causal Discovery at Scale cites this paper.

CauScale: Neural Causal Discovery at Scale Gradient-Based Neural DAG Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:27.826707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c73ea6-b740-48df-be14-4e8b79323e8e · inbound

To Use AI as Dice of Possibilities with Timing Computation cites this paper.

To Use AI as Dice of Possibilities with Timing Computation Gradient-Based Neural DAG Learning

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:56:33.221350Z

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 a1691edd-a0f3-4ab7-a422-2a88f664ef0b · 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 Gradient-Based Neural DAG Learning

Reference 282

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:03.203062Z

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 36813edc-a6c2-44b2-966c-c4c090a1f50a · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Gradient-Based Neural DAG Learning

Reference 143

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:21.792473Z

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 09d67119-822e-4684-b12a-e0ff54374b72 · inbound

Stable Causal Discovery via Directed Acyclic Graph Aggregation cites this paper.

Stable Causal Discovery via Directed Acyclic Graph Aggregation Gradient-Based Neural DAG Learning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T08:28:08.384283Z

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 8d7291bb-43e6-4d55-a5e1-9412e6c9d168 · 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 Gradient-Based Neural DAG Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.133800Z

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 8e49ecc7-52e3-4cbb-a14f-cabe281ba395 · inbound

EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning cites this paper.

EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning Gradient-Based Neural DAG Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:06.681108Z

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 64a574c2-65ed-4675-8129-5cc0792800dc · 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 Gradient-Based Neural DAG Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.747803Z

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 40638959-91ef-4ad7-99d9-f1d340f0c6b9 · 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 Gradient-Based Neural DAG Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:14:47.941531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3979e8a0-36ab-4190-af18-3d2e182b6af9 · inbound

DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery cites this paper.

DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery Gradient-Based Neural DAG Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.838948Z

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 e9835329-b946-46b7-92c9-b9ce2cf409ce · 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 Gradient-Based Neural DAG Learning

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-06T13:39:07.946473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.