Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can GNN be Good Adapter for LLMs?
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.12984.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:05:33.407066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:27:08.302693Z
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 2dc34538-8bcd-47ff-84ec-60d86a5f9fd2 · inbound
Toward General and Robust LLM-enhanced Text-attributed Graph Learning cites this paper.
Toward General and Robust LLM-enhanced Text-attributed Graph Learning Can GNN be Good Adapter for LLMs?
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:27:08.305061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae5e41f1-a5de-473a-ba77-9d8b5669ce0a · inbound
Attacking Graph Foundation Models Through Their Shared Representation cites this paper.
Attacking Graph Foundation Models Through Their Shared Representation Can GNN be Good Adapter for LLMs?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:05:33.407066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b135562-c291-4921-bd9f-e273c8cbad24 · inbound
OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.
OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation Can GNN be Good Adapter for LLMs?
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:29:54.497539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.