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Paper Citation Record · LEDGER

VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.14690.

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

pith.paper-citation-record.v1
2110.14690 v1

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:10:08.949455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:05:55.768650Z

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 9c229651-e705-440f-8ffb-4528f61149e3 · inbound

Causal Representation Learning from Network Data cites this paper.

Causal Representation Learning from Network Data VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T12:10:08.949455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:10:08.949455Z digest=sha256:943dad9c97d74794eaf72004368eff5894bdc85ff728dcd0a9ede9867e40ed23

Observation d04cd57d-821f-422c-81f6-3efdb91033f4 · inbound

Debiased Counterfactual Generation via Flow Matching from Observations cites this paper.

Debiased Counterfactual Generation via Flow Matching from Observations VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:55.771310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-11T01:58:46.941794Z digest=sha256:b9d3d095d439d1e63e87479fe1fc6cd5631083c4bdcfd2cb92b991090db06eb6