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Paper Citation Record · LEDGER

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.11702.

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

pith.paper-citation-record.v1
2003.11702 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:32:59.022821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.977227Z

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 f454c28a-cf90-4089-8ba9-201e8e0f67c6 · inbound

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning cites this paper.

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Reference 1979

Resolution
unresolved
no resolver link, observed 2026-08-11T05:32:59.022821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:32:59.022821Z digest=sha256:87f712632cca5f087538357d4fa6f3e1308e4bfb71590b55513c76b3c11a6bb7

Observation 5102f029-6843-414b-914c-0b232d5f1640 · inbound

Introduction to Graph Neural Networks for Machine Learning Engineers cites this paper.

Introduction to Graph Neural Networks for Machine Learning Engineers Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T00:39:15.240589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:39:15.240589Z digest=sha256:592dd9ddd959b4b454b007e038ee3412e68c91812e76366df5e5409c43727439

Observation b8857d57-eeb0-4a9e-8c37-e3e134654022 · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.978446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:7acf19398320cc2122e2f475a82b9965c0d29a045753bc1c5fcb7b6d915b6692