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Paper Citation Record · LEDGER

Node-wise Localization of Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.14322.

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

pith.paper-citation-record.v1
2110.14322 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:09:57.832574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:09:58.199434Z

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 d81a1d45-c516-474a-b304-125c7b8448cc · inbound

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation cites this paper.

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Node-wise Localization of Graph Neural Networks

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:09:58.204334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T10:09:57.832574Z digest=sha256:0da82ad79f18da1d4c25df1df9d00a5a08efcf8ff23672afc061f27b8846df75

Observation 420fb543-0e2a-41a1-b5b2-7a8cbc480728 · inbound

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective cites this paper.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Node-wise Localization of Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T11:19:43.899885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:19:43.899885Z digest=sha256:d9e163a9625f1f0c9aa27ad3925b8e55ae56baccb294d4ad3364490c209c2ad4