Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.04944.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:46:06.969039Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T17:07:12.257183Z
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 99a5725e-0715-4d41-bc86-4d7759648981 · inbound
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs cites this paper.
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:46:06.969039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b7572a-5745-44a4-8983-34f8f40a3d16 · inbound
Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study cites this paper.
Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:31:52.648106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2faeb9d8-058e-4019-8784-af6168a513ae · inbound
Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models cites this paper.
Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:31:25.443578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c8436de-52d7-4404-998f-224571a347f8 · 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 Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Reference 93
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:56:11.498339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 498c16e3-71a0-498c-aba1-6d9617aef56f · inbound
Are Large Language Models Suitable for Graph Computation? Progress and Prospects cites this paper.
Are Large Language Models Suitable for Graph Computation? Progress and Prospects Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Reference 195
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:07:12.258988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.