Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model Generalization on Text Attribute Graphs: Principles with Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11836.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:30:52.247015Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T08:24:26.894461Z
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 62fd8908-ef7d-4ae2-85d9-6225a43621b4 · inbound
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning cites this paper.
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning Model Generalization on Text Attribute Graphs: Principles with Large Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:30:52.247015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8885888-f749-4fc0-8596-27c06e96d018 · inbound
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Model Generalization on Text Attribute Graphs: Principles with Large Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:37:58.012767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db4358d4-7701-4ab7-a7bb-fd8e74d6f727 · inbound
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning cites this paper.
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning Model Generalization on Text Attribute Graphs: Principles with Large Language Models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:24:26.896229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.