Paper Citation Record · LEDGER

Graph Coarsening with Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.01350.

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

pith.paper-citation-record.v1
2102.01350 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:45:16.094335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T00:43:31.967521Z

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 318b2a72-9ffa-4283-b0e6-4bf300fbb618 · inbound

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs cites this paper.

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs Graph Coarsening with Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:16.094335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ff1bb8-3e0a-4117-9471-cbb7592b53e2 · inbound

Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms cites this paper.

Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms Graph Coarsening with Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:47.786968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c186d4ff-9e65-4c2f-b9e4-b57b88a75612 · inbound

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification cites this paper.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph Coarsening with Neural Networks

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:43:31.971769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e272dfca-ad92-40e8-abb9-6fee3cdcb53f · inbound

Efficient Recommendations via Graph Coarsening and Label Propagation cites this paper.

Efficient Recommendations via Graph Coarsening and Label Propagation Graph Coarsening with Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T05:17:56.891323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.