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Paper Citation Record · LEDGER

From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.03753.

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

pith.paper-citation-record.v1
2110.03753 v3

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:16:22.399863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:31:08.970599Z

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 8c8d71d7-8b07-4eb9-b2cb-ce5e318fc299 · inbound

On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles cites this paper.

On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T04:16:22.399863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:16:22.399863Z digest=sha256:8acd328fb74c59e8d0662c90d2cf0be530c4fccfac7ecbb1b0d5795c97185bb1

Observation 166e390d-7b10-4d0c-a0fa-905970ce60d6 · inbound

Enhancing the Utility of Higher-Order Information in Relational Learning cites this paper.

Enhancing the Utility of Higher-Order Information in Relational Learning From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T21:04:19.450862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:04:19.450862Z digest=sha256:f90d62e97d9396b73f3e18d01de0bc77d126c0104bad9fcf23cf85d007c42912

Observation 95778b9f-58bf-40cf-8b75-d1f62b30a33c · inbound

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model cites this paper.

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.972955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T11:46:42.010486Z digest=sha256:7c195d3abaa241532a23550d4ff45e51d8a155b8db8320f1f0e35a2acfc4c6a1