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Paper Citation Record · LEDGER

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.04558.

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

pith.paper-citation-record.v1
2010.04558 v1

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:46:34.528162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:42:58.749518Z

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 87070cfe-4db0-4d6b-86c9-93510ef4ec3c · inbound

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces cites this paper.

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:39.232246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:17:39.232246Z digest=sha256:73a18d7863904bc9277309c03f269f93be72a475875cea30ea58ef49b758dc57

Observation f29e2587-c249-4a03-bcfe-5565549bbe68 · inbound

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing cites this paper.

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:01:00.040471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T16:19:24.765498Z digest=sha256:3acba3bc2a25a4a21f026d76673853f16856a011d26c3f127220b2ed39d8e521

Observation 020bfde5-a503-45ff-8917-3adbc16bb812 · inbound

TopoU-Net: a U-Net architecture for topological domains cites this paper.

TopoU-Net: a U-Net architecture for topological domains HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:51:28.538024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:53:42.860050Z digest=sha256:29d38094d6a603c8dcd2897ccfe3b481e3de0b11a11c50d02c3e8653fa9b7a98

Observation eee83398-8c23-49a3-b16a-4dae23f974d1 · inbound

The WidthWall: A Strict Expressivity Hierarchy for Hypergraph Neural Networks cites this paper.

The WidthWall: A Strict Expressivity Hierarchy for Hypergraph Neural Networks HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:58.753185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T20:25:18.979512Z digest=sha256:b9157e31aa62acd0ac50e1fe25abd42b1ea572bc00bd5af98a629ce83612109d

Observation 60deabe1-a39f-4cb9-986e-4b4f117eb3a8 · inbound

Towards Trustworthy Hypergraph Neural Networks under Label Noise cites this paper.

Towards Trustworthy Hypergraph Neural Networks under Label Noise HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T18:46:34.528162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:46:34.528162Z digest=sha256:3f1d9727f4a96455184756c0b706a13c055928da48bba99db9ddfde3291e9295