Paper Citation Record · LEDGER

SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.12449.

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

pith.paper-citation-record.v1
2302.12449 v2

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 2026-08-07T15:25:45.762179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:50:29.434886Z

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 3ed7f7ab-79ea-4188-b12c-8ef5b56f8794 · inbound

Graph Foundation Models: A Comprehensive Survey cites this paper.

Graph Foundation Models: A Comprehensive Survey SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 179

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:45.762179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3918ce-59c5-44c6-8fb5-b7460088ac01 · 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 SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:17.430030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0fae6d-7fa1-41da-a90b-ab36d45160d0 · inbound

PLACE: Prompt Learning for Attributed Community Search in Large Graphs cites this paper.

PLACE: Prompt Learning for Attributed Community Search in Large Graphs SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:50:29.437163Z

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.

Observation e6d74d8b-0edd-417d-8049-1ad46f2adfed · inbound

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding cites this paper.

Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T23:38:57.436114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d022376-c348-4b86-9d13-31f32de3b9c5 · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:57:17.756601Z

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.