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Paper Citation Record · LEDGER

Heterogeneous Graph Attention Network

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1903.07293.

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

pith.paper-citation-record.v1
1903.07293 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:24.165214Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.654997Z

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 08f93f23-2ea3-4b41-8f32-6e472e51af33 · inbound

Heterogeneous Sheaf Neural Networks cites this paper.

Heterogeneous Sheaf Neural Networks Heterogeneous Graph Attention Network

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.660974Z

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=pdf_text observed=2026-05-23T20:57:34.082406Z digest=sha256:821154ac515054590d452620842e93f24d5d01215a667f87892102085bfe4895

Observation 9054bfb3-2a05-4f03-9c8f-96b1e56530df · inbound

Attention-Driven Metapath Encoding in Heterogeneous Graphs cites this paper.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Heterogeneous Graph Attention Network

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:24.165214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:24.165214Z digest=sha256:25d7178c81dcf93b5bb87f4d87484d8006acdd6fde518facf09cd12d7195077b

Observation 4137dd29-d115-4c4d-90f1-92d69a1f61b5 · inbound

Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering cites this paper.

Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering Heterogeneous Graph Attention Network

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:38.758470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:38.758470Z digest=sha256:6fba3aced61ba6b9a07541f76f9216c4a82d35a13383165a55065b0ceb15950f

Observation e17c2a16-edc1-4a54-8f3a-d38cd9096088 · inbound

TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks cites this paper.

TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks Heterogeneous Graph Attention Network

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:51:02.459256Z

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=2026-05-10T00:30:25.954515Z digest=sha256:9bc65cc174bfbd8993324240efcf800ca449b8085fb74a4e6efba3cd393b9422

Observation f5b56ae7-ad5c-43a2-9ee4-76a6aa0e4872 · inbound

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection cites this paper.

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection Heterogeneous Graph Attention Network

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-12T03:06:24.801039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:06:24.801039Z digest=sha256:a69e683ed01219ccc31c5c4a59ef9c8e5e17eed4d035e09da75888fc5e47ad4a