Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.11709.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:39:56.495363Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:56:11.554480Z
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 37de032a-b8cb-437f-a10e-3484ccea5e8c · inbound
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Reference 245
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:39:56.495363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12756432-b30d-434e-b773-234ffa6fc895 · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Reference 250
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:56:11.555850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.