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Paper Citation Record · LEDGER

Training-Free Message Passing for Learning on Hypergraphs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.05569.

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

pith.paper-citation-record.v1
2402.05569 v6

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:25.595564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:18:09.665030Z

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 4968e61d-5c67-4a88-9486-48763c0b1f0c · inbound

Wasserstein Hypergraph Neural Network cites this paper.

Wasserstein Hypergraph Neural Network Training-Free Message Passing for Learning on Hypergraphs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:25.595564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:25.595564Z digest=sha256:de9420ecf47ee646725cc3cb4420ed48b01f81d2dc2e4dd5d462981f51e59a23

Observation c073d7a6-2fd9-44e5-84dd-72dbba459e81 · inbound

Predicting Time Pressure of Powered Two-Wheeler Riders for Proactive Safety Interventions cites this paper.

Predicting Time Pressure of Powered Two-Wheeler Riders for Proactive Safety Interventions Training-Free Message Passing for Learning on Hypergraphs

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:18:09.667832Z

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.

source=pdf_text observed=2026-05-16T17:13:53.565291Z digest=sha256:c21e46e31d336639452baac698e3227ea444d8d7c6311018e2bb6b704b0962c6