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Paper Citation Record · LEDGER

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.12158.

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

pith.paper-citation-record.v1
2412.12158 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:38.186662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:13:26.022105Z

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 74296641-bd18-418e-a903-52deda8e7501 · inbound

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods cites this paper.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.186662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.186662Z digest=sha256:819af935fb8d19cbf97c11b9deaa2699ee6c1074e9a0a2e006b902746bcf3f94

Observation 32cdeaa1-cbf2-4248-aa16-854170655c73 · inbound

Representing Higher-Order Networks: A Survey of Graph-Based Frameworks cites this paper.

Representing Higher-Order Networks: A Survey of Graph-Based Frameworks Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

Reference 222

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:13:26.023837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T01:12:15.897149Z digest=sha256:49d1783fff65225c3181d499b986e0473178bb4c096bbf594b0131dacffeb618

Observation 265a4891-3c58-4ccb-875a-a592b19b86e7 · inbound

Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey cites this paper.

Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-14T19:05:16.139750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:05:16.139750Z digest=sha256:302a6f52d5271de1b426cf9531830b3d016e40a5de13cdf4f3b031b86611ef74