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Paper Citation Record · LEDGER

Efficient Graph Generation with Graph Recurrent Attention Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.00760.

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

pith.paper-citation-record.v1
1910.00760 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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:37:40.947736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:45:33.091293Z

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 c7b1c91b-db71-49f5-9912-2b1666141f8a · inbound

Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions cites this paper.

Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions Efficient Graph Generation with Graph Recurrent Attention Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T16:37:40.947736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:37:40.947736Z digest=sha256:0c371eff1b6fd89ed78d3901c968dc101a317dca2f5dd68408ca8ee7870c8326

Observation a24e3827-c095-45a5-a4b9-13072475259f · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation Efficient Graph Generation with Graph Recurrent Attention Networks

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:45:33.093966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:c9a578fe49e841a48fc3d0635b0f80bdd513800e3fd7051d720cc78446716ad9

Observation 169a4f79-40e7-4f58-b24f-d9d8f6534687 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Efficient Graph Generation with Graph Recurrent Attention Networks

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:23.414323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:23.414323Z digest=sha256:48c406e47d5b3d1930bea5c190f54f6c3e9b29e2a27a81703bc9042064ee1fdd