Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Do LLMs Help With Node Classification? A Comprehensive Analysis
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.00829.
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 2026-07-14T13:51:14.141383Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T11:08:03.216419Z
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 c9862f82-4f52-4b79-8e17-fb6c82347f76 · inbound
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected cites this paper.
When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:20:11.834826Z
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 654da98b-3272-41be-8762-2da4c3ffeb20 · inbound
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification cites this paper.
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:06:18.705426Z
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 56c0e332-d129-4717-b67d-2eb3d643e89e · inbound
G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs cites this paper.
G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:26:17.561987Z
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 bfc5b639-4eb2-4541-a540-7ef8872bd789 · inbound
Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.
Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T09:07:47.656553Z
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 465015af-eab2-4007-9e10-b5b61d8c7408 · inbound
GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs cites this paper.
GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T11:08:03.217877Z
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 df68b919-dcc1-4c5f-958f-70144d1b881f · inbound
GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks cites this paper.
GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:34:21.264420Z
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 438d75a9-db51-4e6d-89d6-35bfc02323e2 · inbound
UNIT: Unleash Large Language Models Potential for Graph Continual Learning cites this paper.
UNIT: Unleash Large Language Models Potential for Graph Continual Learning When Do LLMs Help With Node Classification? A Comprehensive Analysis
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T13:51:14.141383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.