Paper Citation Record · LEDGER

Can GNN be Good Adapter for LLMs?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12984.

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

pith.paper-citation-record.v1
2402.12984 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:28:10.648727Z

measured 0 of 1 external citation measurements

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 ec86c3ab-ab02-4b5a-a8b5-19f95137496c · inbound

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs cites this paper.

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs Can GNN be Good Adapter for LLMs?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:10.648727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-23T06:30:58.430688+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.