Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.07893.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:02:32.293362Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:08:56.318181Z
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 7f53e449-abb6-4646-bd40-993616153c28 · inbound
Subgraph-level Universal Prompt Tuning cites this paper.
Subgraph-level Universal Prompt Tuning A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:38:50.014025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fe82c18e-eb9a-4235-bcfd-1ca60e19a403 · inbound
GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning cites this paper.
GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:02:32.293362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 035d0c03-192d-4d37-b53b-5e2cd577bc83 · inbound
Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers cites this paper.
Heterogeneous Graph Pre-training Based Model for Secure and Efficient Prediction of Default Risk Propagation among Bond Issuers A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:17:13.762499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 563581d0-380e-4e4e-81bc-25cec9187448 · inbound
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning cites this paper.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:51:09.440572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a9bce5b-3965-4bef-b3da-df6fb59cb03d · inbound
Handling Feature Heterogeneity with Learnable Graph Patches cites this paper.
Handling Feature Heterogeneity with Learnable Graph Patches A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:08:56.320992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.