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Paper Citation Record · LEDGER

Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.02763.

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

pith.paper-citation-record.v1
2211.02763 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:39:08.442575Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:41:22.165522Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f04bc921-9d5d-4cea-b8e3-04535cc589a3 · inbound

Learning Causal Structure Distributions for Robust Planning cites this paper.

Learning Causal Structure Distributions for Robust Planning Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:41:22.170081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:41:22.026453Z digest=sha256:0c2c25fefc3c1cb0d6aa8411af9338db8429d666dc4525caec4efb5a85c2fd4d

Observation c2c775dc-d482-4f9d-b0ed-e2b40ad1f5c0 · 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 Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T13:39:08.442575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:39:08.442575Z digest=sha256:00c2825c4e06d4a3d858bb5911392fedf8e7173bbf89bc8289e20504a0b31e5b