Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.10362.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:17:16.754728Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T07:50:29.392204Z
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 e746ba79-1691-43fc-aaee-94916e57e1fd · 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 Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:17:16.754728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff6a806c-83e9-4f66-b8ab-24e85d6799c0 · inbound
PLACE: Prompt Learning for Attributed Community Search in Large Graphs cites this paper.
PLACE: Prompt Learning for Attributed Community Search in Large Graphs Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:50:29.396067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 02837313-f064-4aef-b418-6b419547eca1 · 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 Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:52:17.431957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.