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Paper Citation Record · LEDGER

A Unified Graph Selective Prompt Learning for Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.10498.

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

pith.paper-citation-record.v1
2406.10498 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:45.626833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:52:23.428638Z

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 392117cf-a451-4f7e-9037-a77f381e632d · inbound

Graph Foundation Models: A Comprehensive Survey cites this paper.

Graph Foundation Models: A Comprehensive Survey A Unified Graph Selective Prompt Learning for Graph Neural Networks

Reference 178

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:45.626833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:45.626833Z digest=sha256:d2b28b676d53982683474f94362487713183530bb86b9644c59608579a76dc33

Observation cbc6ca7f-609e-4af5-88da-7bcabc6e7a28 · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions A Unified Graph Selective Prompt Learning for Graph Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:17:16.850935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:17:16.850935Z digest=sha256:19b7e08aacf6b6eff72ec91f0751e04374ba7954c64ffb385472f0b66ccbbf66

Observation abb41294-bd52-4b62-9763-055b42475536 · inbound

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers cites this paper.

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers A Unified Graph Selective Prompt Learning for Graph Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:52:23.430568Z

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=2026-05-18T04:51:23.281272Z digest=sha256:23cd880c8d6128cdb2d5e5f4da136d12d23236dbda8d9af0f0e44529454f853a