Paper Citation Record · LEDGER

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.05298.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.05298 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:02:44.272740Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b5ba4689-c0cb-4224-a00f-d2c1c516361f · inbound

A Survey of Context Engineering for Large Language Models cites this paper.

A Survey of Context Engineering for Large Language Models How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 201

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:58:45.197304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 633099a7-a2d3-4981-8051-4a3d59ad26b7 · inbound

CS-Agent: LLM-based Community Search via Dual-agent Collaboration cites this paper.

CS-Agent: LLM-based Community Search via Dual-agent Collaboration How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:44.272740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f0f1de-5ddc-4cd8-aeae-bd72c27a5972 · inbound

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning cites this paper.

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:17.023174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9acffdbd-93aa-4140-bab3-b12fedb83350 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:13:57.926402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d12a6472-fdc1-4758-8c2f-4a51dfdc9a0f · 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 How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:31.328885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67c80638-da49-4224-93c9-8107f3a47747 · inbound

GraphARC: A Comprehensive Benchmark for Graph-Based Abstract Reasoning cites this paper.

GraphARC: A Comprehensive Benchmark for Graph-Based Abstract Reasoning How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.620733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.