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Paper Citation Record · LEDGER

Causal Generative Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1711.08936.

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

pith.paper-citation-record.v1
1711.08936 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:41.051941Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, 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

23
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bcb4a1f4-f178-4709-b3b9-1e869e834799 · inbound

CauScale: Neural Causal Discovery at Scale cites this paper.

CauScale: Neural Causal Discovery at Scale Causal Generative Neural Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T03:16:27.611066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:16:27.611066Z digest=sha256:669f541308d8c4b802320c7eba5317cda2ec3eb75b3e92f936ee31ea9140ced3

Observation 5c803399-3c6a-45bc-86ed-26868ce38699 · inbound

Large Causal Models for Temporal Causal Discovery cites this paper.

Large Causal Models for Temporal Causal Discovery Causal Generative Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T06:03:30.932591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:03:30.932591Z digest=sha256:07b9e557b9f929ab8885265f603b02645425036efd326e8d98b2876ca44b69e5

Observation 4b242e94-5832-41fd-98a7-44f2458b6783 · 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 Generative Neural Networks

Reference 182

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:43:26.498986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T15:41:31.181025Z digest=sha256:98415a6eb04e0b66e7f2e7fa1dadc33cf18d1520b77f22a12eac9c7dc281191c

Observation 7b2f1b13-c414-4b62-9a6c-7336091bf036 · 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 Generative Neural Networks

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:36:29.154258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T09:57:53.889935Z digest=sha256:fee04afcc32b35360b45f21367e7b7099c9a188aa39444460ce5612acd18b7d2

Observation 67b61cd9-0ea8-4e0e-b72a-330149094e63 · 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 Causal Generative Neural Networks

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-12T00:39:41.051941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:39:41.051941Z digest=sha256:2333113349c8e5403497efa0aef7b3fd51b097b060fcb53e2642dd664471c0c7