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Paper Citation Record · LEDGER

Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.11368.

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

pith.paper-citation-record.v1
2311.11368 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:32:42.977273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:52:13.909680Z

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 5fa8df91-b8f8-4f72-82e6-bf9e249ed279 · inbound

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs cites this paper.

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:52:13.911248Z

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=2026-05-19T09:51:24.356768Z digest=sha256:4becf0d67e00d874d23429a4ad12c448e1540c4b99bac0848f21425ee693da92

Observation bf63e455-cd89-466e-8436-cbeda2bfe793 · inbound

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records cites this paper.

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T04:32:42.977273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:42.977273Z digest=sha256:6428731a595167676b9da017c98c9d6a27f4f68e6a6e859603a6edd2a45aae28