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Paper Citation Record · LEDGER

A Survey on Deep Graph Generation: Methods and Applications

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.06714.

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

pith.paper-citation-record.v1
2203.06714 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:29:14.698407Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:45:33.010283Z

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 0efe3ead-768d-4603-b5de-b4a17292cf29 · inbound

Random Permutation Codes: Lossless Source Coding of Non-Sequential Data cites this paper.

Random Permutation Codes: Lossless Source Coding of Non-Sequential Data A Survey on Deep Graph Generation: Methods and Applications

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:24.347101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:24.347101Z digest=sha256:a6dbca18ecc50b8adbe62f7780cd50f6ac5fa8c7d72cbcc0e6397fdbceda2b7a

Observation bc185666-1513-4b31-9f89-6e1d1a459c62 · inbound

Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents cites this paper.

Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents A Survey on Deep Graph Generation: Methods and Applications

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:14.698407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:14.698407Z digest=sha256:99fddca78daf3382d5252cf8aa46c56acf3eade98f115561af101a545d3c94d6

Observation bd6a9d58-9e07-48bb-b4d6-88b05dd78e96 · inbound

A Deep Generative Model for the Simulation of Discrete Karst Networks cites this paper.

A Deep Generative Model for the Simulation of Discrete Karst Networks A Survey on Deep Graph Generation: Methods and Applications

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:44:57.586027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:44:57.586027Z digest=sha256:a62af35d7342e2002cfac3051765d53c851d08569583fcf0f61ca175fa612099

Observation c16eed19-d438-4d98-8515-e91374bfb513 · inbound

Vector Representations of Vessel Trees cites this paper.

Vector Representations of Vessel Trees A Survey on Deep Graph Generation: Methods and Applications

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:04.168477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:39:04.168477Z digest=sha256:d2ff7c48467603d7b484c430e6409aff7c52877d18e7a8748a68afe229d41212

Observation 8d817b15-728c-48b0-a9c7-b3adf6277208 · inbound

Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation cites this paper.

Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation A Survey on Deep Graph Generation: Methods and Applications

Reference 47

Resolution
malformed identifier
no resolver link, observed 2026-08-15T18:05:48.460846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:48.460846Z digest=sha256:01c53777b7a73d9ba8fdb920f3f9efa4def50c029d469fef60f1d72acb30790f

Observation 8ee1d478-d38a-4b65-ae77-7b1a976f1114 · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation A Survey on Deep Graph Generation: Methods and Applications

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:45:33.012922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:b68c6b2ed9b9f401ea2d2e20534daab052fd934ff0d3b7821ed4416c3d480bba