Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.12068.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:06:59.956264Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T11:01:31.300577Z
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 be5b19ce-0aae-4e2a-b0e6-ba8aeebbc2b0 · inbound
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks cites this paper.
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:06:59.956264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77dd4d27-3b43-4a21-9113-62438765568b · inbound
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks cites this paper.
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:41:10.041480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0324f08-594d-4a92-aa56-a61d77c9e02f · inbound
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding cites this paper.
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:01:31.302905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.