Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.16176.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:29.569171Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:34:07.640740Z
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 6cf36f31-0dad-476c-9ce8-15488d82a708 · inbound
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Reference 139
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:38:29.569171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af09d4f2-7ce4-43f9-beec-a18a25717b0c · inbound
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks cites this paper.
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:42:44.016710Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8486740e-5fff-4e41-b9ed-3801115bfb38 · inbound
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning cites this paper.
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:34:07.734783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.