Paper Citation Record · LEDGER

Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2308.11224.

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

pith.paper-citation-record.v1
2308.11224 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:19:00.744582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:49.167469Z

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 59ec9507-49f9-4524-9db5-ec5228333bd4 · inbound

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction cites this paper.

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:19:00.744582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6152efc-e87d-4250-ac75-cc54b726fc34 · inbound

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models cites this paper.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.318435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a820b19b-8af1-4fe6-9359-e35d637966c7 · inbound

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses cites this paper.

Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T21:02:41.860043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4090b411-aff1-47ad-84d8-858ce1bb0f28 · inbound

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning cites this paper.

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:52.290880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 023014d2-9f96-4a7a-b31e-e5686504fcb4 · inbound

Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning cites this paper.

Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:44:38.471665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57e6a0e9-66ce-4185-948b-2f8166d82234 · 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 Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 212

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:12.269907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2a98561-ef63-4f1e-b3aa-3d1b0ad3ddf2 · inbound

LLM-Aided A* Search in Non-Geometric Network Graphs cites this paper.

LLM-Aided A* Search in Non-Geometric Network Graphs Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:39:49.169245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.