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Paper Citation Record · LEDGER

Learning Neural Causal Models from Unknown Interventions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:59.513260Z

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

source=pdf_text observed=2026-05-23T22:42:45.037653Z digest=sha256:b2a352ecb35dba95be384c2952e83593db48823619d8e5c63124abfe8cfd10a7

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.

source=pdf_text observed=2026-08-06T19:58:59.513260Z digest=sha256:0c4908a2ae392e560db777429254bec374e2b8edf95dc98a0ba700498a3cbeab

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

source=pdf_text observed=2026-05-18T09:56:36.716680Z digest=sha256:0ea3772e936b20628fe118c360a4ece28e5021e9c3d1bb6cb7c3e8ffda2de72d

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.

source=pdf_text observed=2026-08-03T03:16:27.708415Z digest=sha256:3915c1db682606f21207f58c7f5abf22c209e22efc45bd8207e48569324b060e

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

source=arxiv_source observed=2026-05-07T17:35:03.139016Z digest=sha256:7dca7058237e9605f5a941fd017cc867d4f3c924ac4961531855c6921e55e5ad

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

source=arxiv_source observed=2026-05-11T00:55:49.922673Z digest=sha256:786101396341e61e6909a6519d8a0c60bb69a33553719baf4acf66d37e183b69

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

source=pdf_text observed=2026-05-13T05:46:51.659283Z digest=sha256:a70affc15aeae2e448b0e28371af84d03cf0594207414e8ea9e1d4ba789ee16b

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

source=arxiv_source observed=2026-05-20T03:26:11.379926Z digest=sha256:78ad2854f0b772dac0dcc016baa9aa84ea9939dcf6c92ed254a0d91deda9c3cc

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

source=pdf_text observed=2026-06-28T09:57:53.889935Z digest=sha256:eb4ba2323a8aab12a71e90b8fbc2654597e6ec03f306c8da5756c2a9a9a3f6bb