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Paper Citation Record · LEDGER

Graph Neural Networks for Link Prediction with Subgraph Sketching

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.15486.

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

pith.paper-citation-record.v1
2209.15486 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:53.121625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:50:28.947978Z

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 e3789745-18de-4722-a992-3c5f61bd9346 · inbound

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment cites this paper.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:53.121625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:53.121625Z digest=sha256:8d8412c3fdf324b1a6b6a0bbd6fe2ce8a121737521eb69f1b4b0893124fd88e6

Observation 89638f6b-7e59-441a-a823-295d81b01456 · inbound

Subgraph Generation for Generalizing on Out-of-Distribution Links cites this paper.

Subgraph Generation for Generalizing on Out-of-Distribution Links Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:10:48.757654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:48.757654Z digest=sha256:1d0e30dbf70d7b3220a9b1f56c19d327c634731c923c3ce02b47fee6bd0f9499

Observation a99f931b-40b1-4015-a108-798c99e133e8 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:50:28.951639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T07:49:39.057087Z digest=sha256:70f0cdfc2750e4d9766097e732761a19c171a03ce6303c41fa7fb53d1efb3933

Observation ec498fc5-0112-4a69-8f11-c2b517f2b0e1 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T10:00:47.189102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:00:47.189102Z digest=sha256:c02f8aa53dcdc42b020d264747d20a3bb94473fcce5a1de335c275ab9ad9d250

Observation 952c28a8-ab02-43e9-8906-e7e202fb2ac0 · inbound

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery cites this paper.

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.530460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:29:27.398862Z digest=sha256:14fb8bcd97d5e3d5cd90dd452cb237ebdc0196731062677a1a5084a8b390e29d