Paper Citation Record · LEDGER

Graph Condensation for Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2110.07580.

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

pith.paper-citation-record.v1
2110.07580 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:26.801695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.812714Z

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 cdd2f190-e4b6-4400-9e02-5e61efd8e025 · inbound

FIT-GNN: Faster Inference Time for GNNs that 'FIT' in Memory Using Coarsening cites this paper.

FIT-GNN: Faster Inference Time for GNNs that 'FIT' in Memory Using Coarsening Graph Condensation for Graph Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:23:22.041044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71500c3a-d424-475a-b202-409adac04847 · inbound

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks cites this paper.

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks Graph Condensation for Graph Neural Networks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T18:45:28.971245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949e1a86-a30a-4470-a0e8-930b8b2c5f87 · inbound

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training cites this paper.

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Graph Condensation for Graph Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:48.870487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6334290-46f1-4eda-8d62-9be135827917 · inbound

Random Walk Guided Hyperbolic Graph Distillation cites this paper.

Random Walk Guided Hyperbolic Graph Distillation Graph Condensation for Graph Neural Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:05:43.731953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b4a9b99-5e2b-4e19-a80f-8367918d630c · inbound

Rethinking Client-oriented Federated Graph Learning cites this paper.

Rethinking Client-oriented Federated Graph Learning Graph Condensation for Graph Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:26.801695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915a5110-d9e4-49ba-8a38-1ac119023799 · inbound

Rethinking Federated Graph Learning: A Data Condensation Perspective cites this paper.

Rethinking Federated Graph Learning: A Data Condensation Perspective Graph Condensation for Graph Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:53:19.470753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a3301d-bdf7-4f01-9685-5b1534a9e5fe · inbound

GraphFLEx: Structure Learning Framework for Large Expanding Graphs cites this paper.

GraphFLEx: Structure Learning Framework for Large Expanding Graphs Graph Condensation for Graph Neural Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:42.935478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d3ba93-af46-446f-9b7c-5698d65b9ffb · inbound

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening cites this paper.

AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Graph Condensation for Graph Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:43:48.469476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ce550f-a974-446e-a706-8f633905e4ab · inbound

GCAL: Adapting Graph Models to Evolving Domain Shifts cites this paper.

GCAL: Adapting Graph Models to Evolving Domain Shifts Graph Condensation for Graph Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:23.867413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e5060a-1552-4f29-8fea-e31d56e74d14 · inbound

Simple yet Effective Graph Distillation via Clustering cites this paper.

Simple yet Effective Graph Distillation via Clustering Graph Condensation for Graph Neural Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:55:20.916250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9b4285-f6e4-44b5-a5e3-ba8c413a995b · inbound

Dynamic Graph Condensation cites this paper.

Dynamic Graph Condensation Graph Condensation for Graph Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:08.921224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48ba627-4a6e-44ed-8e5a-01ce51662079 · inbound

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places cites this paper.

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places Graph Condensation for Graph Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:54:19.096482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fda94a3-2dc0-4a90-ba01-3c4177e54839 · inbound

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing cites this paper.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph Condensation for Graph Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:40.522185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1df1273-4d6d-4a92-b607-3b309e350f38 · inbound

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

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

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:49.109883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6470d34f-f05b-4f23-9008-074e25c8ce81 · 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 Condensation for Graph Neural Networks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:43:31.962748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f50b142d-6fd7-484f-9ca3-c81b25ddc325 · inbound

Analytic Drift Resister for Non-Exemplar Continual Graph Learning cites this paper.

Analytic Drift Resister for Non-Exemplar Continual Graph Learning Graph Condensation for Graph Neural Networks

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.707715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eec7291c-fcb9-43bd-b4cd-efed569429d8 · inbound

An Efficient and Scalable Graph Condensation with Structure-Preserving cites this paper.

An Efficient and Scalable Graph Condensation with Structure-Preserving Graph Condensation for Graph Neural Networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.250679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60a0c8d0-b6f2-40e3-ad4f-8b504ca11935 · inbound

Geometry-Aware Dataset Condensation for Diffusion Model Training cites this paper.

Geometry-Aware Dataset Condensation for Diffusion Model Training Graph Condensation for Graph Neural Networks

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:26:56.814222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.