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Paper Citation Record · LEDGER

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.11867.

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

pith.paper-citation-record.v1
2002.11867 v4

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:28:02.368700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.993207Z

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 5bb8e977-bed0-49b1-845b-292c3f3b7b15 · inbound

PolyModel for Hedge Funds' Portfolio Construction Using Machine Learning cites this paper.

PolyModel for Hedge Funds' Portfolio Construction Using Machine Learning Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:28:02.368700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:28:02.368700Z digest=sha256:b7a029678bc6f438e410e084db1cf08e55adb070437230f79affe6367ba49f0c

Observation 20729e3a-b49b-472a-b747-7cb2dde20988 · 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 Spatial and Spectral Domains: A Survey on Graph Neural Networks

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.995689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T10:59:25.867813Z digest=sha256:16ea86468bf6ebb3b5abcc82a651a7deb4b41fa777179f0f72bd620692300b24

Observation 3d706980-6d71-4c31-83f3-f63919e86948 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Reference 114

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:47.196223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.196223Z digest=sha256:7ebf1d62a0e5b5c1ddd835a069e4b4a363cf662ca8938617f27180625c0b80ef