Paper Citation Record · LEDGER

Heterogeneous Deep Graph Infomax

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1911.08538.

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

pith.paper-citation-record.v1
1911.08538 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:48.107636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:46:08.044817Z

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 9a198c89-ff20-44bf-9770-ac088fa684b2 · inbound

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder cites this paper.

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder Heterogeneous Deep Graph Infomax

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:48.107636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca20346b-84eb-47e3-b0dd-1fa4b45d3474 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Heterogeneous Deep Graph Infomax

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:17.077550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b35fd2f-6708-42a0-b092-8f5a737e998e · inbound

Leveraging LLMs and Heterogeneous Knowledge Graphs for Persona-Driven Session-Based Recommendation cites this paper.

Leveraging LLMs and Heterogeneous Knowledge Graphs for Persona-Driven Session-Based Recommendation Heterogeneous Deep Graph Infomax

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:41:02.490182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80032dfe-7431-4aa3-85cf-72157013f094 · inbound

Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs cites this paper.

Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs Heterogeneous Deep Graph Infomax

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:46:08.049340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.