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Paper Citation Record · LEDGER

A Systematic Survey on Deep Generative Models for Graph Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.06686.

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

pith.paper-citation-record.v1
2007.06686 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:21:14.899753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:45:33.023349Z

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 99861e56-b95b-4daa-8c68-dc69082df989 · inbound

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation cites this paper.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation A Systematic Survey on Deep Generative Models for Graph Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:14.899753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.899753Z digest=sha256:26bb81b485b6d000405c10e4d2a360169b097557f8fcc558f5c6252fb2131a91

Observation 82f5936a-600b-4744-a569-1f8eb9173638 · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI A Systematic Survey on Deep Generative Models for Graph Generation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T15:46:56.841737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:56.841737Z digest=sha256:9f1040d2e54b03ab523cdbcf4e1b8f7738913a1420079667523db8cbc0219fde

Observation abb119fa-8656-4515-8435-874a9ced7d8f · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation A Systematic Survey on Deep Generative Models for Graph Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:45:33.025500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:85bf7e4028e2733a016d1d0b6d3697d9d8267c79caa995b1c3106ca5a7af1e60