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Paper Citation Record · LEDGER

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.03358.

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

pith.paper-citation-record.v1
2402.03358 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:05:45.847625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:21.798238Z

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 fbf66715-bfff-4d35-9518-dde45af738c7 · inbound

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks cites this paper.

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T19:05:45.847625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:05:45.847625Z digest=sha256:73dff0e68efa6835a2aafa6a824592870e30e57857ba608bfb2112b5f57cca93

Observation b1f2a8aa-e7a4-4214-a609-546641e276a3 · inbound

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

GCAL: Adapting Graph Models to Evolving Domain Shifts A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:23.747834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:23.747834Z digest=sha256:31b0491c0b3c3bd9d7fa714be01962aaf0a9e3c97362f36c0d8bfa9c9decacec

Observation 0f0ed794-0ddd-4009-a289-ef9985e87a77 · inbound

Simple yet Effective Graph Distillation via Clustering cites this paper.

Simple yet Effective Graph Distillation via Clustering A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:20.479864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:20.479864Z digest=sha256:90f7acd04d30ed0506088ae3495f55c9d88f2bed2a61440ac3fd043633601e8a

Observation c1824f84-170d-47cc-aa74-457d064a2223 · inbound

Rapid training of Hamiltonian graph networks using random features cites this paper.

Rapid training of Hamiltonian graph networks using random features A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:17:15.641114Z

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=2026-05-19T10:17:00.343410Z digest=sha256:6d5983f79e73aaed5fc3caa30bfdaf3f93a4b1560285eb70bad6397b3d8aeaa5

Observation b4807eaf-0dba-46a7-ad65-f080ff463d4c · inbound

From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning cites this paper.

From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:41:01.720143Z

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=2026-05-11T01:08:24.251390Z digest=sha256:2008554194832baf80d91053893ec4070695e4e2e4024a379e85fe8d39899723

Observation 829375c5-62f7-44ca-9afb-a86691905ca1 · inbound

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark cites this paper.

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.800063Z

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=2026-06-27T07:22:49.577516Z digest=sha256:8f07569a287a699d2f20412717de3deeee02c50ba9fe75490e235228a66cfcb1

Observation 843ea0bc-6ca6-479f-9e29-4cab102e7774 · inbound

Heterogeneous Graph Condensation via Role-Aware Clustering cites this paper.

Heterogeneous Graph Condensation via Role-Aware Clustering A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 76

Resolution
unresolved
no resolver link, observed 2026-07-12T04:56:04.713121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:56:04.713121Z digest=sha256:699986c05a9c0f213a6efb76bf40de20c7d206c765ffe0fd502230faa8d16911