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Paper Citation Record · LEDGER

Learning Neural Causal Models from Unknown Interventions

As of 7 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T22:42:45.037653Z digest=sha256:3deea1b4f107ec41c39af257ba40e8bf40f630aed3a2378b0840274b2b45279f

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=sha256:3366e629e394720b4230592aae491398bcad2cd4685c65c21eb92b6407fd62be

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T09:56:36.716680Z digest=sha256:b2cbe9f58fbee8aa35d776f658e64bace0c4f5b240a3fbd40234b4d67531c7ec

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=sha256:6bff23171b11b2280eaf058d0b813a581da31d1b57ae5bd97020daf4eaf6b4a2

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-07T17:35:03.139016Z digest=sha256:b8b051215a2a97aee3f8efaf0b178fd0a8155c7a7492f22bce8e801be9254bfc

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T00:55:49.922673Z digest=sha256:92ac8af8448eb5be1ff9de77a32246c98e4ccd0be11945c212a8bd32ac2acbe6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T05:46:51.659283Z digest=sha256:11608d74f342933b0c34be72a6536d5f0f9ae033578d086fd47b7db8d9220f11

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T03:26:11.379926Z digest=sha256:6f79257e7c635b33bf8c98e0cf17279ffdc3d66e41831a1ba085c4f6d48b04f9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T09:57:53.889935Z digest=sha256:aa0343a68cae36da033465b4a5fd455ba2730d0a8246c83a7186a99dcb547531