Paper Citation Record · LEDGER

Learning Neural Causal Models from Unknown Interventions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1910.01075.

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

pith.paper-citation-record.v1
1910.01075 v2

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 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:11:33.822392Z

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

46
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 7e69d925-5253-4974-b2ea-f4fc8c2e37f9 · inbound

Visual Analysis of Multi-outcome Causal Graphs cites this paper.

Visual Analysis of Multi-outcome Causal Graphs Learning Neural Causal Models from Unknown Interventions

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:43:32.305269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d91f919d-b377-4315-957f-8a4342e421ef · inbound

D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection cites this paper.

D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection Learning Neural Causal Models from Unknown Interventions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:11:33.822392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9faebd17-940c-4b85-a192-68f2b8d61b45 · inbound

Hierarchical Reinforcement Learning with Targeted Causal Interventions cites this paper.

Hierarchical Reinforcement Learning with Targeted Causal Interventions Learning Neural Causal Models from Unknown Interventions

Reference 3119

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:59.513260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963e5c5e-b311-414b-a6c7-f353efcf4776 · inbound

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Learning Neural Causal Models from Unknown Interventions

Reference 116

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T10:01:13.966355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b106e474-183f-44ae-b7ac-cb4760011865 · inbound

CauScale: Neural Causal Discovery at Scale cites this paper.

CauScale: Neural Causal Discovery at Scale Learning Neural Causal Models from Unknown Interventions

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:27.708415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9629b10-8646-43ae-870e-3cec5efceaa3 · inbound

Partially Observed Structural Causal Models cites this paper.

Partially Observed Structural Causal Models Learning Neural Causal Models from Unknown Interventions

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:37.627127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca3f3761-3b78-4bcf-bfac-2c608466c97c · inbound

AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites cites this paper.

AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites Learning Neural Causal Models from Unknown Interventions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:55.601771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e318dbd-0f10-4860-88cf-b30b51aafa94 · inbound

Delay-Empowered Causal Hierarchical Reinforcement Learning cites this paper.

Delay-Empowered Causal Hierarchical Reinforcement Learning Learning Neural Causal Models from Unknown Interventions

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:47:21.199147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4179ba7f-771e-4ca7-84c7-eca536dc618f · 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 Learning Neural Causal Models from Unknown Interventions

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T03:28:01.301348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea7c8f0f-4900-4ee2-bce2-1c57ca6e9315 · 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 Learning Neural Causal Models from Unknown Interventions

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.136967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1b939c1-ca74-4c4b-a639-e5087bc29656 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Learning Neural Causal Models from Unknown Interventions

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:41.061473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.